The AFAQY Consortium, under the leadership of AFAQY, is honored to submit this proposal for the Integrated Waste Management Ecosystem tender issued by BE’AH. This submission reflects our consortium’s unified commitment to advancing Oman’s environmental objectives through an intelligent, data-driven, and sustainable waste management framework aligned with Oman Vision 2040.

The proposed solution delivers an integrated digital ecosystem encompassing smart waste collection, IoT-based monitoring, AI-powered analytics, centralized data management, cybersecurity, and advanced operational control. Designed for scalability, transparency, and efficiency, it will enable BE’AH to achieve higher standards of operational performance, compliance, and sustainability across its waste management network.

As an OPAL-approved IVMS company, AFAQY currently manages a fully operational waste management system in partnership with Averda for the Muscat Governorate, overseeing more than 35,000 smart bins and 350 vehicles — a milestone achievement in Oman’s waste management sector. This operational experience serves as the foundation for the proposed nationwide model.

The consortium partners — AFAQY, Oman Data Park, Cyber Security Park, Jeel AI, and Delta Gulf — collectively bring extensive expertise spanning IoT infrastructure, cybersecurity, data hosting, artificial intelligence, and civil works. Together, they present a unified, locally anchored, and future-ready solution tailored to BE’AH’s strategic and operational requirements.

The AFAQY Consortium remains fully committed to ensuring local value creation, technological innovation, and sustainable impact — delivering a solution that strengthens BE’AH’s leadership in environmental management and contributes meaningfully to Oman’s smart nation aspirations.

ARCHITECTURE OVERVIEW

DESIGNED AND CONSULTED BY AFAQY

The architectural framework of the proposed Integrated Waste Management Ecosystem has been meticulously designed under the technical leadership and consultation of AFAQY’s in-house expert team, drawing upon years of proven experience in national-scale smart waste management, IoT integration, and AI-driven analytics. The architecture embodies a holistic and modular approach, ensuring interoperability, scalability, and long-term sustainability across all tiers of waste management operations — from generation to treatment, and ultimately, value recovery.

This architecture has been structured into three principal layers — Upstream, Midstream, and Downstream — complemented by AI intelligence, cybersecurity, hosting, and visualization layers, forming a fully cohesive ecosystem:

Upstream Layer – AFAQY SMART WASTE

At the generation and collection phase, AFAQY’s Smart Waste platform governs operations across municipal, medical, and industrial sectors, enabling real-time tracking, smart bin monitoring, optimized route planning, and compliance reporting.

Midstream Layer – AFAQY MARDAM

(In collaboration with MHD & Al Hinai)

The midstream operations are driven by the AFAQY MARDAM solution, designed to manage and automate transfer station workflows, treatment sites, and landfill logistics — providing data continuity and operational transparency between field and back-office systems.

Downstream Layer – Waste Trading Platform

(BIDBID + DARBEE)

The downstream stage leverages the Waste Trading Platform integrating BIDBID and DARBEE, enabling digitized waste value-chain transactions, logistics coordination, and reverse supply chain management to promote a circular economy model.

AI-Powered HSE Solution – AFAQY + JEEL

The architecture integrates an AI-based Health, Safety & Environment (HSE) layer developed jointly by AFAQY and JEEL, using computer vision and machine learning to monitor safety KPIs, compliance metrics, and site-level hazards in real time.

Digital Twin Environment – JEEL

JEEL’s Digital Twin layer virtualizes all physical infrastructure and process flows, allowing BE’AH to visualize, simulate, and forecast operational scenarios for strategic decision-making and resource optimization.

Hosting Infrastructure – Oman Data Park (ODP)

The entire solution stack is securely hosted at Oman Data Park, ensuring data sovereignty, resilience, and compliance with national cybersecurity and data governance standards.

Cybersecurity & VAPT – Cyber Security Park

Cyber Security Park provides Vulnerability Assessment and Penetration Testing (VAPT) across all modules, fortifying the ecosystem against cyber threats and ensuring end-to-end system integrity.

Central Data Warehouse – ION

All data streams converge into a central Data Warehouse managed by ION, designed for structured storage, real-time synchronization, and seamless interoperability across multi-source systems.

AI Analytics & Central Dashboard – MAZIN AI

A unified Main Dashboard, powered by MAZIN AI, provides real-time analytics, performance insights, and consolidated visualization of all operational layers, empowering BE’AH’s decision-makers with actionable intelligence.

Operations Command Center (OCC) – DELTA GULF Contracting

The physical OCC Room, constructed and upgraded by DELTA GULF Contracting, serves as the centralized nerve center for monitoring, command, and control of the entire ecosystem, equipped with state-of-the-art interfaces and visualization panels.

Executive Abstract

The proposed Integrated Waste Management Ecosystem Architecture represents a comprehensive, future-ready framework designed and engineered by AFAQY’s internal expert team, reflecting years of hands-on experience in IoT-driven waste management, AI analytics, and smart infrastructure integration. Built on a layered, modular foundation, the architecture connects every facet of the waste management lifecycle — from generation and collection to treatment, trading, and sustainability tracking — under a single intelligent platform.

Each component of the ecosystem has been purposefully selected and aligned to ensure operational efficiency, data continuity, and cross-system interoperability. With ODP providing secure national hosting, Cyber Security Park ensuring robust digital defense, and MAZIN AI powering centralized analytics, the architecture not only optimizes waste operations but also delivers real-time governance, transparency, and data-driven decision-making for BE’AH’s national sustainability mission.

This diagram illustrates the unified architectural framework conceptualized and designed by AFAQY’s expert team, showcasing the complete lifecycle of waste management operations across Upstream, Midstream, and Downstream layers, seamlessly integrated with AI, Digital Twin, Cybersecurity, Hosting, and Central Analytics components. The architecture ensures full interoperability, real-time visibility, and intelligent automation—forming the digital backbone of BE’AH’s next-generation smart waste ecosystem.

OPERATION CONTROL CENTER

Project Experience Summary

Our project team brings extensive experience in the design, construction, and commissioning of Control Rooms and Data Centers, having successfully executed multiple high-performance projects that integrate electrical, IT, audiovisual, and interior systems with precision and reliability.

Notably, our team has been directly involved in the implementation of Omantel Data Center Projects in Barka and Salalah, where we carried out a comprehensive range of works similar to the current project scope. These works included:

Workstation Installation & Electrical Integration: Supply and installation of modular workstation systems equipped with dedicated power outlets, structured cabling, and ergonomic furniture layouts suitable for 24/7 operational environments.

Monitor and LED Display Setup: Installation and configuration of borderless monitors and large-format LED screens for real-time network and operations monitoring, including mounting, alignment, and signal management.

Structured Cabling and Network Infrastructure: Deployment of CAT6 and fiber optic cabling systems, patch panel terminations, labeling, and testing for high-speed data connectivity.

Electrical and Power Systems: Implementation of reliable electrical wiring networks with UPS integration, surge protection, and power distribution for critical IT equipment.

Interior Finishing and Control Room Ergonomics: Design and execution of high-quality interior finishes, acoustic treatments, and ambient lighting conducive to control room operations.

Testing, Commissioning, and Documentation: Complete system testing, calibration of displays and network components, and handover with as-built documentation, test reports, and O&M manuals.

This previous experience in live, mission-critical environments has strengthened our expertise in handling complex coordination between multiple disciplines — ensuring that all systems, from electrical to IT infrastructure, function seamlessly together.

With this proven background, our team is fully capable of executing the Operation Control Center for BEAH efficiently and to the highest standards of quality, safety, and operational reliability. Our approach emphasizes meticulous planning, attention to detail, and adherence to client specifications, ensuring a fully integrated, high-performance control room environment.

Table Specifications

Layout Option for Room-01

Layout Option for Room-02

Layout Option for Room-03

Operations Control Center Room Items

Workstation Setup

Dell OptiPlex 7010 MT Desktop Computer

Intel Core i7-13700 Processor 16GB RAM DDR5 512GB SSD Storage Intel Graphics Windows 11 Pro Color: Black

Monitor Setup

Dell SE2422H

24 Inch FHD LED Monitor AMD FreeSync 1920x1080 Resolution 75Hz Refresh Rate, 5ms Response Time 16:9 Aspect Ratio VA Technology Anti-Glare 3H Hard Coating HDMI, VGA Port

Borderless Video Wall

Hikvision 65-Inches 3.5MM LCD Display Unit Part # DS-D2065LU-Y(O-STD)

4K signal input, auto loop up to 30 screens with HDMI interfaces

Switching between six picture modes: Standard/Meeting/Movie/Monitoring/Text/User

Factory calibration for color and brightness uniformity

Direct-lit LED backlight with uniform brightness and no boundary shadows

3840 × 2160 resolution, 178° viewing angle

Ultra-narrow 3.5 mm bezel design

Anti-glare, high definition, high brightness, high color gamut, and vivid images with rich colors

Stable and 24-hour continuous working

Metal casing for preventing radiation and magnetic & electric field interference

Hikvision Video Wall Controller Casing (6 Slots) Part # DS-C60S-S6

Adopts 2 U standard rack design and supports the mixed installation of input boards and output boards in some slots of the chassis.

Adopts a 3.3-inch non-touch screen panel to allow you to view the device status information at any time

Adopts 1 fan, left air duct, and right air duct for ventilation

Adopts the plug-in modular design and hot swappable service boards to allow the flexible

Supports ultra-high-resolution fusion and up to eight 4K ultra-HD signal access

Device Integration

Hikvision HDMI Input Board Part # DS-C60S-04HI

Supports 4 channels of 2K HDMI signal input and YUV 444 collection

Supports HDMI composite audio input

Hikvision HDMI Output Board Part # DS-C60S-04HO

The HDMI output board provides 4 HDMI ports and supports YUV 444 output

Supports HDMI composite audio output

UPS INFOSEC E3 Pro 6000 RT

6 KVA Rack/Tower Type UPS

On-Line Double Conversion

1 Phase Input- 1phase Output

1x Standard Backup Module

USB Communication Port

Future Proofing

Scalability

We design infrastructure that accommodates future expansions, allowing for the seamless addition of monitors or workstations as your needs grow.

Technological Updates

Our systems are built to be compatible with future technological advancements, ensuring easy upgrades for both hardware and software.

Compliance and Standards

Health and Safety

We prioritize adherence to relevant health and safety regulations, creating a workspace that is safe and conducive to productivity.

Industry Standards

Our operations follow industry standards for control center functions, ensuring reliability and efficiency in all aspects.

Methodology of Works

Project Title: Control Room Setup and Workstation Installation

Purpose

This Methodology of Works defines the systematic approach, installation procedures, quality control measures, and approval process for the setup of the control room, including workstations, LED displays, internet and electrical systems, and interior finishing works.

Scope of Work

MAIN DASHBOARD WITH Ai ANALYTICS

Mazin.Ai Overview and Scope

Mazin.Ai is an Omani-developed Artificial Intelligence and Data Intelligence platform purpose-built to empower the Sultanate’s transition toward smart governance, circular economy, and sustainable digital ecosystems. Developed under a vision to localize advanced AI technologies and align with Oman Vision 2040, Mazin.Ai provides a scalable, secure, and interoperable foundation for national-level digital transformation projects, from waste management and logistics optimization to public service automation and environmental intelligence.

Mazin.Ai fuses artificial intelligence, data engineering, and automation to convert operational data into real-time intelligence. It acts as the brain of the ecosystem, connecting all be’ah partners and digital assets into a single AI-orchestrated environment.

Its core pillars are:

Integration: Seamlessly connect IoT devices, operational systems, and external data sources through standardized APIs.

Intelligence: Continuously learn from operational data, uncover patterns, and predict future scenarios.

Automation: Replace manual tasks with self-learning workflows that trigger actions automatically.

Localization: Ensure full compliance with Oman’s PDPL, cybersecurity, and data residency regulations.

Central Intelligence & Dashboard Layer

Mazin.Ai functions as the unified AI-driven dashboard integrating all operational ecosystems:

AFAQY Smart Waste Collection

AFAQY MARDAM

BidBid + Darbee

Digital Twin

CCTV AI HSE System

It aggregates and visualizes real-time data, providing a single source of truth for be’ah’s Operations Control Centre (OCC).

Mazin.AI Screenshots: Main Mazin.AI Dashboard (with KPIs, maps, live waste data)

AI Insights or Predictive Analytics screen

OCC dashboard view showing real-time bin/route metrics

Example of automated RFQ or alert notification screen

Unified Data Warehouse

The National Data Warehouse serves as the central intelligence backbone of the be’ah Waste Management Platform (WMP) consolidating data from all connected subsystems into a secure, scalable, and analytics-ready environment.

It acts as the single source of truth for all operational, environmental, and financial data generated across be’ah’s nationwide network.

This data warehouse is architected to meet enterprise-grade performance, regulatory compliance, and AI-readiness requirements, ensuring that every decision within the OCC is data-driven, traceable, and backed by real-time insights.

It ensures:

Data Sovereignty & Compliance

All data is hosted within Oman’s jurisdiction, ensuring full compliance with the Oman Personal Data Protection Law (PDPL) and ISO/IEC 27001 security standards. Role-based access control (RBAC), data encryption (AES-256), and audit trails are enforced at every layer.

Centralized Intelligence Hub

Consolidates real-time data streams from AFAQY Smart Bins, MARDAM facilities, BidBid & Darbee, Digital Twin simulations, and AI CCTV systems into one unified structure enabling OCC teams to visualize the complete operational landscape from collection to disposal.

Advanced Analytics Enablement

Provides high-speed query performance for forecasting, performance benchmarking, anomaly detection, and AI model training. Data is automatically indexed and optimized for use by Mazin.AI’s predictive algorithms.

Data Lifecycle Management

Implements automated data archival, backup, and retention policies to ensure cost-effective storage and retrieval. The system supports both structured (SQL) and unstructured (IoT, sensor, image) data types.

Integration & Interoperability

Built using open data standards (REST APIs, JSON, and OData) to allow seamless integration with be’ah’s ERP, CRM, GIS, and future analytics platforms.

Governance & Ownership

Be’ah retains complete ownership of all data assets, metadata, and analytics outcomes. iON LLC’s architecture ensures no external dependencies, protecting be’ah’s intellectual property and long-term digital autonomy.

Scalability & Future Readiness

Designed to scale horizontally for national-level growth, enabling future integration with smart city data, circular economy metrics, carbon footprint analytics, and ESG compliance dashboards.

AI Automation & Analytics

Automatically generates and submits RFQs (Requests for Quotation) to BidBid for waste collection or transport needs.

Performs capacity and scheduling optimization based on live telemetry and historical patterns.

Uses predictive analytics to forecast waste generation, vehicle demand, and landfill capacity.

Delivers AI-driven alerts for non-compliance, route inefficiency, or abnormal environmental readings.

Workflow Integration

Integrates natively with Darbee, BidBid, and AFAQY through REST APIs.

Triggers automated workflows (e.g., RFQ generation → order forwarding → driver assignment → route execution).

Provides bi-directional data synchronization with ERP and OCC dashboards for live KPI tracking.

Unified Operations Control Dashboard

Mazin.Ai will serve as the command centre interface of be’ah’s new Operations Control Centre (OCC).

This unified dashboard will provide a 360-degree operational view of all waste management activities nationwide, combining live telemetry, performance KPIs, and AI-driven insights.

The system will:

Collect and Analyze Operational Data: Aggregate IoT, CCTV, ERP, and manual inputs into a centralized data lake for continuous monitoring and trend analysis.

Trigger Automated Workflows: Initiate RFQs, maintenance tasks, or alerts automatically based on AI predictions or threshold violations.

Maintain a Secure National Data Warehouse: Host and manage all environmental and operational data within Oman, complying with the Personal Data Protection Law and be’ah’s information security policies.

Support AI-Driven Compliance and Optimization: Continuously validate contractor KPIs, detect deviations, optimize routes, and automate billing and reconciliation with be’ah’s ERP system.

Technical and Regulatory Compliance

Mazin.Ai is designed in accordance with Omani data residency, cybersecurity, and interoperability standards, ensuring:

Hosting within Oman-based Tier-III+ cloud infrastructure

Compliance with Oman PDPL, ISO/IEC 27001, and TRA regulations

API-based integration framework compatible with be’ah’s existing CRM and ERP systems

End-to-end encryption, role-based access control, and blockchain audit trails for data authenticity

Strategic Impact

By centralizing national waste data and applying AI intelligence, Mazin.Ai transforms how be’ah manages operations, performance, and policy decisions. It introduces a shift from reactive management to predictive governance, empowering be’ah to:

Anticipate demand rather than react to incidents,

Reduce waste collection costs through optimized routing,

Improve landfill utilization and environmental compliance, and

Provide transparent, evidence-based reporting to regulators and the public.

Through this role, Mazin.Ai becomes the digital nervous system of Oman’s waste sector, enabling a cleaner, smarter, and more sustainable future fully aligned with the aspirations of Oman Vision 2040.

MAIN DATA WAREHOUSE

Technical Architecture

Technical Overview

The proposed solution, Mazin.ai, is a modular, secure, and highly adaptable AI platform developed by iON LLC, configured to fulfil the strategic vision.

Engineered with enterprise-grade architecture and government-specific configurations, Mazin.ai operates as a hybrid Generative and Analytical AI system.

Deployment Options

The Mazin.ai platform is architected with deployment flexibility to address operational, performance, and information security requirements. To this end, the solution supports:

Deployment Integration with a secure local private cloud environment (e.g., Oman Data Park) to enable scalability, resilience, and modular expansion for future AI use cases.

These deployment models ensure that retain full control over infrastructure and data, while enabling incremental expansion of AI capabilities and optimization of resources based on evolving institutional needs.

This option leverages Oman Data Park (ODP) as a local cloud partner, allowing to benefit from enhanced computing capabilities while retaining full sovereignty over classified data.

Platform Architecture

The Mazin.ai platform is designed to operate entirely within the secure network, ensuring full compliance with national data protection laws, information security policies, and regulatory mandates. The architecture is modular, scalable, and aligned with enterprise-grade design principles to ensure maintainability, performance, and security.

The architecture is distributed across two core components within infrastructure:

The Application Component, which hosts platform logic and presentation services.

The AI Component, which hosts the AI inference layer, includes large language models (LLMs) and vector engines.

Application Component

The Application Component is structured into four well-defined layers, each serving a distinct purpose within the system lifecycle:

Infrastructure Layer

This foundational layer ensures operational reliability, maintainability, and security:

Permission Control – Role-based access enforcement based on access levels (Normal User, Sensitive User, Governor).

Database Repositories – Secure data storage for structured data models, embeddings, chat histories, and configuration settings.

Logging – System-wide logging and audit trail generation for security and compliance auditing.

Caching – Performance optimization layer for frequently accessed operations and session data.

Dependency Injection – Component modularity, enabling flexible upgrades and testing across services.

Domains Layer

This layer manages the core business logic and system entities:

Abstract Service Orchestrator – Central coordinator for process execution and task routing across the platform.

System Entity – Data models for users, roles, and AI configurations.

Chat Entity – Persistent storage and management of conversation histories and contextual data.

Vector Entity – Handles embeddings and similarity search for documents and queries.

Data Entity – Manages structured data models and ETL pipelines for analytics, AI model training, and document indexing.

Application Services Layer

Interfaces and middleware logic are housed in this layer:

API Controllers – RESTful and SOAP endpoints for system integration with internal and third-party systems.

WebSocket Communication – Real-time messaging and event-based communication, enabling dynamic interactions within the chat interface and dashboards.

Presentation Layer

This layer delivers a secure, responsive, and role-specific user experience:

Chat Interface – Enables direct interaction with AI agents, including policy inquiries, document Q&A, and IT assistance.

Dashboard Interface – Real-time visibility into system metrics, usage trends, AI performance, and user activity.

Command Center Interface – Administrative console for managing agents, configuration policies, audit logs, and security controls.

Additional UI Modules – Including visual workflows, alert boards, and training assistants.

AI Component

Hosted within the network, the LLM Server encapsulates the AI-specific infrastructure, built to execute generative and retrieval-based intelligence securely and efficiently.

AI Persona Abstraction Layer

Governs the behaviour of AI agents by defining tone, response structure, language preferences, and domain-specific context retention, ensuring coherent, role-aligned, and contextually accurate interactions across various institutional use cases.

LLM Abstraction Layer

This layer serves as the orchestration engine for managing and interfacing with large language models (LLMs) within the AI system. It enables seamless execution of generative and interpretive tasks by abstracting model complexities and aligning outputs with institutional requirements.

Connects and manages the large language models used for generative and interpretive tasks.

Integrates with Llama 4 Scout, including models fine-tuned on  policies, financial regulations, and internal communication patterns.

Vector Engine Abstraction Layer

This layer facilitates high-performance semantic search and contextual retrieval by leveraging vectorized knowledge representations.

Handles vectorized semantic search using embedded knowledge representations.

Connected to Qdrant v1.41.1, a production-grade vector database deployed locally to store document embeddings, past interactions, and indexed regulations.

Data Flow and Integration Architecture

The data architecture underpinning Mazin.ai has been purposefully engineered to operate, ensuring absolute compliance with data classification protocols, information security policies, and regulatory governance.

This architecture supports multi-source data ingestion, intelligent data routing, and secure access control across structured and unstructured data types, forming the backbone of the AI system’s knowledge engine and real-time responsiveness.

Data Management

At the core of the AI engine lies the Data Management Layer, which governs data abstraction, entitlement, and access control across the system:

Data Abstraction Layer: Standardizes incoming data formats and maps them to internal models useable by AI agents and visualization tools.

Data Entitlement Engine: Enforces data classification policies, allowing or restricting access to specific users or modules based on sensitivity.

Permission Control: Implements role-based restrictions ensuring that only authorized users (e.g., Governor-level or Sensitive Users) can access regulated datasets.

API Layer: Exposes processed data through secure APIs to downstream modules. API communication is protected via SSL encryption.

Data Visualization

Once data has been processed, abstracted, and authorized within the platform, it is seamlessly routed to the Data Visualization and Automation Layer, enabling secure and policy-compliant access for end-users. This layer supports a range of decision support functionalities, including instant data preview, document download, external AI integrations (such as Business Intelligence tools or internal systems), as well as dynamic dashboards and regulatory reporting interfaces.

Functionality

Data Management and Classification

Mazin.ai delivers a robust, secure data management framework aligned with governance and data protection standards. The system ensures secure handling, structured processing, and intelligent classification of all media and communication content.

Built-in ETL pipelines cleanse, normalize, and prepare data for AI-driven analysis.

Content is classified by type and sensitivity (e.g., internal draft, official announcement, public release), ensuring compliance, editorial workflows, and automated routing are applied consistently.

AI Capabilities and Automation

Mazin.ai empowers with adaptive AI functionality designed for secure, domain-specific media automation. The system continuously evolves through controlled training cycles and operational feedback to enhance accuracy, cultural relevance, and editorial efficiency.

Custom model creation trained on anonymized content (press releases, newsletters, reports).

Regular retraining based on drift detection, editorial feedback loops, and updated content sources.

AI Workflow Engine

The AI Workflow Engine orchestrates intelligent process automation across communication workflows, enhancing responsiveness and reducing publishing time.

Rule-based or AI-triggered actions such as alerts, sentiment-driven notifications, and publishing approvals.

Seamless integration with workflows via APIs and webhook automation.

Conversational AI Workforce

Mazin.ai introduces a fleet of intelligent, bilingual AI agents designed to streamline media and communication tasks by automating content creation, monitoring, and dissemination.

Multilingual AI Agents: Native support for Arabic (RTL-first) and English, including OCR extraction, translation, and transcription.

Advanced Content Intelligence

The Mazin.ai platform delivers deep content comprehension and automation capabilities, enabling to manage media workflows with intelligence and speed.

Integrated Content Analyzer: Uses Retrieval-Augmented Generation (RAG) to summarize, classify, and validate articles, reports.

Smart OCR & Validation: Extracts text from scanned documents, images, and PDFs with accuracy.

Semantic Search & Query Engine: Allows natural language queries over uploaded or monitored content.

Command Center and Modular App Framework

Mazin.ai provides centralized and extensible platform architecture, giving administrators full control over AI operations and future scalability.

Command Center: A unified interface for managing agents, monitoring outputs, and overseeing publishing workflows.

Modular App Store Design: Allows to independently add new AI agents or dashboards to support evolving communication needs.

Security and Compliance

Mazin.ai is architected in full alignment with the Information Security Requirements, ensuring robust protection, controlled access, and operational integrity across all system components.

In adherence to Information Security Requirements:

Encryption: AES-256 at rest, TLS 1.3 in transit.

Access Control: Full integration with Active Directory, supporting Single Sign-On (SSO), LDAP, and Role-Based Access Control (RBAC).

Audit Logging: Comprehensive logs of all user interactions and system events with ISO 27001 alignment.

Federated Learning Compliance: Allows use of external datasets without leaking data outside perimeter.

Integration and Interoperability

Mazin.ai is designed with a flexible integration architecture to ensure seamless interoperability with existing and future digital ecosystem, enabling secure data flow, media automation, and coordinated operations across institutional systems.

RESTful and SOAP APIs for seamless connection

Event-based webhooks for real-time data synchronization and automated publishing workflows.

Periodic offline patching and LLM updates enabled within secure, air-gapped environments in compliance with Omani data protection regulations.

User Experience and Accessibility

Mazin.ai prioritizes intuitive interaction and inclusive design, ensuring all users across can efficiently engage with the platform regardless of role, language, or accessibility needs.

Unified UX/UI: All modules, including content creation, news monitoring, dashboards, and newsletter automation, follow a common responsive design for consistency and ease of use.

Arabic-English Localization: Built as an Arabic-first platform with full RTL support, accurate semantic translation, and communication terminology tuned for editorial and media functions.

Multimodal Input: Supports voice and text commands with accessibility features to ensure inclusiveness for diverse user groups.

Visualization and Insight Delivery

Mazin.ai equips with powerful, real-time visual analytics to support data-driven insights, media oversight, and strategic communication management.

Dynamic Dashboards: Interactive dashboards for monitoring news coverage, campaign performance, AI agent activity, and media trend analytics.

Exportable Reports & Visualizations: Auto-generated executive summaries, infographics, and visual analytics tailored for decision-making, policy alignment, and communication strategy reviews.

Scalability and Performance

Mazin.ai is architected for high availability, proactive resilience, and seamless growth, ensuring continuous performance under evolving operational demands.

Modular design ensures each component can be independently scaled or updated.

Monitors system health, detects anomalies, and triggers maintenance actions before failure.

Compliant deployment across on-prem infrastructure and local cloud providers like Oman Data Park.

Hardware Requirements

Based on requirements for three distinct hardware options, we provide the following specifications as documented in our technical requirements:

Software Requirements

Mazin.ai Software Stack Specifications

Disaster Recovery

To safeguard business continuity and regulatory compliance, a comprehensive Disaster Recovery (DR) plan has been developed as part of the Mazin.ai deployment.

Architecture Resilience

Mazin.ai is engineered for operational continuity and fault tolerance, aligning with critical infrastructure standards and regulatory safeguards to ensure uninterrupted availability and data integrity.

Failover Systems: Redundant application and database servers (primary and snapshot replicas) are provisioned across production and development environments to ensure immediate failover in case of hardware or software failure.

Backup Protocols

Daily incremental backups and weekly full backups.

Backups are encrypted and stored in a physically separate environment.

Backup data is retained per retention policies and subject to quarterly integrity testing.

Disaster Recovery Testing

Bi-annual DR drills simulating system-wide failure and recovery scenarios.

Documentation of test outcomes and areas of improvement are shared with.

Recovery Objectives

Mazin.ai adheres to stringent recovery benchmarks to safeguard mission-critical operations and ensure minimal disruption during adverse events.

Recovery Time Objective (RTO): ≤ 4 hours for critical systems.

Recovery Point Objective (RPO): ≤ 1 hour for critical data.

Business Continuity Integration

Mazin.ai is designed to align with and reinforce existing Business Continuity Plan (BCP), ensuring uninterrupted availability of critical AI services during planned or unplanned disruptions.

Integration with Business Continuity Plan (BCP) to ensure seamless restoration of AI services, including AI-based content generation, news monitoring, and newsletter automation.

Escalation matrix and designated emergency contact points to be shared with during User Acceptance Testing (UAT) and updated semi-annually.

Reporting and Monitoring

Mazin.ai incorporates robust oversight mechanisms to ensure transparency, accountability, and continuous improvement in system operations and support performance.

Real-time support dashboard with visibility into:

Ticket status and SLAs

Performance metrics

Escalation logs

Monthly system reports submitted to including:

Incident summaries

Usage analytics

Compliance observations

Recommendations for enhancement.

Knowledge Transfer and Local Capacity Building

In line with operational independence objectives, iON LLC ensures continuous skill development and system familiarity.

Training Delivery:

2-week training program including Admin & End-User tracks.

Certified local trainers with post-training support.

Knowledge Transfer:

Final knowledge workshops.

Handover of system documentation, including DR plans, operational procedures, and troubleshooting guides.

Annual Maintenance Contract (AMC)

iON LLC provides a comprehensive Annual Maintenance Contract to ensure sustained performance, reliability, and compliance of the Mazin.ai platform throughout its operational lifecycle.

Scope: Inclusive of all components - software, integration layers, AI modules, APIs, and database elements.

Update Policy: No additional charges for minor version upgrades, patches, and mandatory enhancements throughout the support lifecycle. (In case of Major – Subject to terms and conditions)

Performance Requirements Document

The performance requirements for the successful deployment and operation of the Mazin.ai platform at the. It defines the performance levels that iON LLC commits to achieving and specifies the operational, environmental, and technical prerequisites required from to ensure optimal system performance.

Performance Commitments from iON LLC

iON LLC commits that the Mazin.ai solution, once implemented and operated within the defined conditions, shall achieve the following performance benchmarks:

AI Model Management

Initial model training using anonymized historical data provided by.

Quarterly retraining and evaluation based on drift and user feedback.

Full support for classification-based data handling (Normal, Confidential, Secret, Top Secret)

Operational Prerequisites from

To ensure Mazin.ai performs at the levels defined above, the following must be provisioned and maintained by:

Infrastructure and Network Readiness

shall provision and maintain on-premise hardware infrastructure based on the selected capacity tier:

Configuration Concurrent Users Application Server Database Server LLM Server (Model)

Starter Kit ~200 CPU: 16 cores CPU: 4 cores Qwen2.5-VL-7B

RAM: 64GB Storage: 500GB SSD RAM: 16GB Storage: 500GB SSD CPU: 8 cores GPU: NVIDIA RTX 4090 or equivalent RAM: 32GB Storage: 100GB SSD

Mid-Tier ~400 CPU: 16 cores RAM: 128GB Storage: 750GB SSD CPU: 4 cores RAM: 16GB Storage: 500GB SSD Llama 3.2 90B CPU: 8 cores GPU: NVIDIA A100 40GB RAM: 64GB Storage: 500GB SSD

High-End ~800 CPU: 16 cores RAM: 256GB Storage: 1TB SSD CPU: 8 cores RAM: 32GB Storage: 500GB SSD Llama 4 Scout CPU: 8 cores GPU: NVIDIA H200 RAM: 64GB Storage: 500GB SSD

Data Provisioning

Provision of clean, representative, and anonymized datasets for initial AI model training and validation.

Consistent availability of classified internal documentation for indexing and RAG use cases.

Integration and Access Support

Access to internal systems is necessary for real-time data syncing and knowledge extraction (ERP, DMS, regulatory repositories, etc.).

Clear data classification policy to be enforced and shared with iON to define automatic document routing and restrictions.

Staff Involvement

Timely nomination and availability of 3 administrators for the full training program.

Identification of end-user groups across departments for onboarding.

Scheduled feedback cycles during pilot and gradual rollout phases.

Monitoring and Evaluation Framework

iON will ensure transparent performance evaluation through:

Dashboards for real-time tracking of latency, inference, and error metrics.

Monthly performance summaries and incident response reviews.

Feedback sessions with  stakeholders for continuous improvement.

shall:

Designate reviewers and technical validators.

Participate in quarterly performance and compliance reviews.

Enable access to monitoring interfaces as applicable.

Disaster Recovery Plan

Introduction

This Disaster Recovery (DR) Plan outlines the strategy, protocols, and controls implemented to ensure the operational resilience and business continuity of the Mazin.ai platform, deployed within the National Centre for Statistics & Information. The DR framework is designed in alignment with regulatory mandates, IT governance policies, and data protection standards, ensuring that critical AI-driven services, such as AI-based content creation, news monitoring, and newsletter automation, can recover from adverse events with minimal downtime and data loss.

Disaster Recovery Objectives

The DR objectives are defined to align with expectations for high service availability, data integrity, and secure operation:

Recovery Time Objective (RTO): ≤ 4 hours for mission-critical systems and services.

Recovery Point Objective (RPO): ≤ 1 hour for critical datasets and AI-generated outputs.

Architecture Resilience

Deployment Support

1. Local Site: Private cloud environment hosted by a certified local provider (e.g., Oman Data Park) for scalable processing and disaster recovery fallback.

Segregated Services: AI services and datasets are logically and physically separated based on classification levels (Public, Confidential, Secret, Top Secret) in compliance with information security policies.

Backup and Data Protection

Backup Schedule

Daily Incremental Backups: Capturing all changes since the previous backup.

Weekly Full Backups: Complete snapshots of platform configurations, user data, and AI model states.

Retention Policy: Backup retention as per -approved data lifecycle and regulatory compliance framework.

2. Security and Storage

Encryption: AES-256 encryption for backups in transit and at rest.

Offsite Storage: Backups stored in a physically and logically isolated facility separate from primary and secondary sites.

Data Integrity Testing: Quarterly integrity validation to ensure full restorability and consistency of backups.

3. Recovery Procedures

DR Invocation Criteria

The DR plan is activated in scenarios such as:

Natural disasters affect the primary data center.

Major cyber-attacks compromising critical systems.

Hardware failures exceed acceptable thresholds.

Software bugs or misconfigurations causing total system downtime.

4. DR Activation Steps

Incident Detection and Triage: Automated monitoring identifies the incident and notifies the DR lead.

Escalation and Communication: Notification to IT Command Center via the defined contact matrix.

Failover Initiation: Manual or automated activation of backup systems in the private cloud.

Service Verification: Validation of platform health and AI component functionality.

Restoration of Business Services: Gradual reintroduction of user-facing features, ensuring no data loss or corruption.

Disaster Recovery Testing

Bi-Annual Simulation Drills: Comprehensive DR drills conducted twice yearly to test all components.

Test Scenarios: Total data center outage, database corruption, AI inference degradation, and communication workflow disruptions.

Post-Mortem Reports: Documentation of outcomes, response times, and improvements, shared with stakeholders.

Integration with Business Continuity Plan (BCP)

Alignment with BCP: DR efforts are fully coordinated with overarching Business Continuity strategies to minimize operational disruption.

Periodic Reviews: DR plan is reviewed and updated semi-annually to reflect system changes, emerging threats, and business priorities.

5. Roles, Contacts, and Escalation Matrix

DR Coordinator (Vendor): Primary contact for incident response.

IT Liaison: Authorized to approve DR activation and recovery decisions.

Emergency Contact Matrix: Maintained, version-controlled, and shared with during User Acceptance Testing (UAT); updated every six months.

6. Continuous Improvement and Compliance

Audit and Review: DR processes undergo internal audits and compliance checks aligned with regulations.

Policy Adherence: Ensures compliance with cybersecurity, data protection, and national information security standards.

Lessons Learned: Each incident and drill inform future updates to the DR plan for continuous improvement.

7. Integrated Solution Architecture

The proposed Integrated Solution Architecture represents the digital foundation of the be’ah Operations Control Centre (OCC) and the Waste Management Platform (WMP).

It connects all operational, analytical, and administrative layers into one cohesive ecosystem that ensures end-to-end visibility, automation, and governance across the Sultanate’s waste management infrastructure.

This architecture is built around two complementary pillars:

Mazin.Ai, The Intelligence and Analytics Core

(Responsible for central data orchestration, AI-driven insights, compliance, and automation)

Darbee, The Operational Execution and Control Layer

(Responsible for workflow execution, logistics coordination, and billing automation)

Together, they form the Digital Nerve Centre of Oman’s Waste Management Ecosystem, seamlessly linking AFAQY systems, BidBid marketplace, digital twins, IoT networks, and AI surveillance systems under one unified framework.

Architectural Overview

The integrated solution follows a multi-tier structure designed for resilience, modularity, and interoperability with existing and future be’ah systems:

Data Flow and System Interoperability

At the heart of this architecture lies the Mazin.Ai Main Dashboard, which acts as the unified data aggregator and orchestration hub. All operational data streams converge here, collected from IoT devices, sensors, vehicles, CCTV networks, ERP modules, and service providers, then processed through AI algorithms to generate predictive insights and automated actions.

Step-by-Step Data Flow:

Data Collection (AFAQY Smart Waste & AFAQY Mardam):

IoT sensors, GPS devices, weighbridges, and SCADA systems continuously feed data on bin levels, vehicle movement, landfill capacity, and energy usage.

Data is securely transmitted through MQTT or REST APIs into the Mazin.Ai Data Lake.

Data Processing (Mazin.Ai):

AI models analyze the incoming data for anomalies, route inefficiencies, and resource utilization.

Predictive alerts are generated for bin overflow, equipment failure, or non-compliant behavior.

Insights are pushed to OCC dashboards and to Darbee’s operational layer.

Workflow Automation (Mazin.Ai + BidBid + Darbee):

When an AI model detects a collection requirement or logistics need, it automatically generates a Request for Quotation (RFQ) in BidBid.

Once a contractor or service provider accepts the RFQ, Mazin.Ai automatically forwards the order to Darbee for scheduling, route planning, and execution.

Operational Execution (Darbee):

Darbee assigns drivers, vehicles, and routes dynamically, using live data from AFAQY systems and GPS tracking.

Each task is validated through IoT weighbridge data, vehicle telemetry, and on-site mobile app confirmations.

Route optimization is continuously refined through AI feedback loops.

Compliance & Safety Monitoring (Tadoom Systems):

Digital Twin modules simulate operations and predict maintenance needs, while AI-powered CCTV systems monitor for unsafe or illegal activities.

Real-time alerts are sent to the OCC for immediate enforcement or corrective action.

Financial Reconciliation (ERP Integration):

Upon completion of each operational cycle, Darbee automatically compiles and submits validated invoices to be’ah’s ERP system.

Mazin.Ai verifies KPI compliance before releasing final payment triggers.

Analytics & Governance (OCC Dashboard):

The OCC receives a consolidated, real-time dashboard view across all waste streams, enabling be’ah management to monitor KPIs, environmental impact, cost efficiency, and contractor performance through a single interface.

Technical Integration Map

Based on the architectural diagram provided (Mazin.Ai Main Dashboard and Connected Systems), the relationships can be summarized as follows:

Mazin.Ai Main Dashboard Integrates:

AFAQY Smart Waste Collection:

Real-time bin status, vehicle telemetry, and route completion updates.

AFAQY MARDAM (Landfill, Incinerators, Transfer, Recycling):

Monitoring of landfill cells, leachate control, recycling throughput, and treatment facility performance.

BidBid + Darbee Marketplace:

RFQ generation, quotation management, and order execution pipeline.

Digital Twin (Tadoom):

Predictive modeling for operational planning, landfill simulation, and asset performance management.

CCTV AI HSE System (Tadoom):

Automated video analytics for safety compliance, illegal dumping detection, and contractor accountability.

Each of these modules feeds live data streams into Mazin.Ai’s central AI engine, which standardizes, enriches, and visualizes data through the OCC dashboards and automated workflows.

Data Warehouse and Security Architecture

A dedicated National Data Warehouse will be established under Mazin.Ai’s governance framework to securely store and manage all aggregated data from the WMP ecosystem.

Key features include:

Data Residency in Oman: All operational and personal data will be hosted within Oman on Tier III+ certified data centres, ensuring compliance with national regulations.

Encryption and Access Control: End-to-end encryption, secure APIs, and role-based access mechanisms to safeguard data integrity.

Blockchain Audit Trails: Immutable logs for compliance validation and traceability of transactions (RFQs, payments, and service verifications).

Disaster Recovery and Redundancy: Real-time replication and failover mechanisms to ensure zero downtime for OCC operations.

This secure infrastructure not only guarantees data protection but also positions be’ah as the national owner of environmental intelligence, capable of generating policy-level insights from its operational data.

Security, Resilience & Compliance

The Mazin.Ai + Darbee ecosystem has been architected with security, resilience, and regulatory compliance as foundational principles, ensuring that be’ah’s national waste management data is protected, recoverable, and governed under Oman’s strict information assurance frameworks.

Security Framework

All system components are protected through a multi-layered security model that integrates:

End-to-End Encryption: All data in transit and at rest is encrypted using AES-256 and TLS 1.3 standards.

Role-Based Access Control (RBAC): User privileges are tightly managed and audited to prevent unauthorized access.

Blockchain-Backed Audit Trails: Every transaction, including RFQs, service completions, and invoices, is recorded immutably for compliance verification.

Continuous Vulnerability Scanning: Automated tools monitor endpoints, APIs, and cloud workloads to identify and remediate threats in real time.

System Resilience

To guarantee operational continuity, Mazin.Ai and Darbee employ:

Redundant Cloud Infrastructure: Hosted on Tier III+ Omani data centers with 99.982% uptime SLA.

Real-Time Replication and Failover: Hot standby environments and disaster recovery zones ensure no data loss during outages.

Scalable Microservices Architecture: Modular containerized deployment allows for elastic resource scaling based on workload.

Automated Backup and Restoration: Daily encrypted backups stored in geographically separate sites within Oman.

Regulatory and Compliance Alignment

The platform meets and exceeds Oman’s national regulatory and international best-practice standards, including:

Oman Personal Data Protection Law (PDPL)

Telecommunications Regulatory Authority (TRA) Cybersecurity Guidelines

ISO/IEC 27001:2022 – Information Security Management Systems

ISO/IEC 42001:2023 – Artificial Intelligence Management System

All data and system operations are fully localized within Oman’s jurisdiction, ensuring complete data sovereignty and alignment with be’ah’s ownership clause.

Continuous Governance

Security and compliance are maintained through continuous monitoring, audit readiness, and third-party certification renewals. Periodic penetration testing, risk assessments, and AI ethics reviews are conducted to sustain trust and reliability across the ecosystem.

Smart Automation Use Cases

The architecture supports multiple AI-driven automation scenarios that enhance efficiency and sustainability:

Predictive Route Optimization:

AI models forecast demand and dynamically reroute collection trucks to minimize travel distance and fuel consumption.

Automated RFQ Generation:

When bin sensors reach a defined threshold, Mazin.Ai triggers RFQs in BidBid and dispatches orders to Darbee automatically.

Compliance Alerts via AI CCTV:

Cameras detect and flag non-compliance incidents such as illegal dumping or uncollected waste zones, sending alerts directly to OCC operators.

Digital Twin for Facility Management:

Landfill and recycling plants are modeled virtually to predict wear, maintenance needs, and operational performance.

Real-Time Financial Validation:

IoT weighbridge data and contractor performance metrics are automatically linked to invoicing for transparent payment approval.

Benefits to Be’ah

The integrated Mazin.Ai–Darbee architecture delivers transformative benefits to be’ah’s mission and Oman’s environmental sustainability agenda:

Unified National Platform: Centralized management of all waste streams and contractors under one digital ecosystem.

Operational Efficiency: Reduction in manual intervention, route duplication, and service delays.

Transparency and Compliance: Automated monitoring, validation, and reporting aligned with Oman’s regulatory framework.

Data-Driven Decision Making: Executive-level dashboards and analytics for strategic planning and environmental governance.

Scalability and Future Readiness: Modular architecture enabling integration of future technologies such as carbon trading, ESG scoring, and AI-driven recycling optimization.

Strategic Alignment

This architecture fully supports be’ah’s RFP objectives as defined in the tender:

Centralized Operations Control Center with AI-based visibility.

Integration of IoT, CCTV, and ERP systems for smart governance.

Support for automated invoicing, performance KPIs, and compliance dashboards.

Full data ownership and localization under be’ah’s authority.

Through the integration of Mazin.Ai’s intelligence and Darbee’s operational execution, the proposed solution transforms be’ah’s existing operations into a nationally unified, AI-powered waste management ecosystem, setting a new benchmark for smart environmental governance in Oman and the GCC region.

1. Technical Highlights

Compliance & Hosting

The proposed Mazin.Ai + Darbee Platform has been designed from inception to achieve full compliance with be’ah’s regulatory, operational, and ownership requirements, while maintaining the highest standards of cybersecurity, data privacy, and system reliability.

All infrastructure, software, and data components will be hosted, operated, and supported within the Sultanate of Oman, ensuring complete data sovereignty and adherence to all applicable national and international standards.

The platform complies with the following frameworks and certifications:

Oman Personal Data Protection Law (PDPL)

Telecommunications Regulatory Authority (TRA) Regulations

ISO/IEC 27001:2022 – Information Security Management Systems

ISO/IEC 42001:2023 – Artificial Intelligence Management System

ISO/IEC 27001

ISO/IEC 42001

SMART WASTE COLLECTION & TRANSPORT PLATFORM FOR ALL INDUSTRIES

Introduction

About Afaqy

Afaqy is pleased to extend an offer to BEAH for the provision, installation, and maintenance of a Fleet Management System. We are enthusiastic about nurturing a robust and enduring business partnership by delivering cutting-edge, dependable services to BEAH. In recognition of the rapidly evolving marketplace, with escalating demand for Information Technology services and capabilities, we understand that organizations are grappling with the challenge of developing and delivering innovative products and services in line with the latest IT advancements and trends.

At Afaqy, we stand ready to revolutionize IT services both domestically and throughout the Gulf Region. We have introduced an extensive range of services to cater to the requirements of the Omani and international markets. As pioneers as Oman's first managed service provider, our overarching vision is to reshape the marketplace, making IT services readily available on demand.

Moreover, we are proud to offer a Complete Smart Waste Management Platform, designed to meet the specific needs of modern waste management. This platform integrates advanced technologies to optimize waste collection, enhance operational efficiency, and contribute to a cleaner, more sustainable environment. BEAH can leverage this platform to significantly improve waste management processes, ensuring compliance with environmental standards while reducing operational costs.

We bring forth several distinctive advantages for BEAH:

A cohesive team with a wealth of global experience in successfully executing complex security-related projects, as well as advanced Smart Waste Management solutions, for esteemed organizations, including BEAH.

A proven user-centric approach that ensures swift realization of value and the right benefits for end-users, particularly in optimizing waste management processes through our innovative Smart Waste Management Platform.

We are committed to using our strong dedication and top-notch skills to make a big difference. Our deep technical know-how, combined with extensive experience in delivering projects, and our solid understanding of customer needs, make us stand out.

In the next parts of this proposal, you'll find a detailed plan designed to address the specific challenges and important tasks you've highlighted. Our plan is crafted to provide immediate operational improvements and long-term growth for your organization.

We are excited to continue our collaboration with BEAH, utilizing our advanced technology services, including our Smart Waste Management Platform, to significantly enhance your operations. Our primary goal is to enable you to focus on your organization's core objectives, with the confidence that Afaqy is here to support your success.

OPAL APPROVED IVMS Certification:

Scope of Work

Core Delivery Components

This section outlines the essential functional components that must be provided as part of the Operations Control Center (OCC) and Waste Management Platform (WMP). The core functional components are as follows:

Waste Management Platform (WMP)

Operations Control Center (OCC)

Waste Management Platform (WMP)

Bin Operations Management

Afaqy’s Smart Waste Platform fully caters to all the features listed below, with each aspect shown separately for clear and efficient management:

Bin ID: Our system tracks and manages each bin using a unique identifier.

GPS Coordinates of Bin Instances: Bins are precisely tracked using GPS, showing real-time locations on a dynamic map.

Bin’s Location in Routes: The system maps each bin to its specific route for efficient waste collection management.

Number of Bins in Every Route: It provides an overview of the number of bins along each route, aiding in route optimization.

Bin Type: The system categorizes bins by type.

Bin Capacity: Capacity details are tracked to ensure appropriate collection and disposal strategies.

Bin Waste Collection Frequency: Collection frequency can be set (daily, weekly, etc.) and adjusted as needed.

Bin Waste Collection Schedule and History: The system logs and displays collection schedules and historical data for all bins.

Bin Washing Instance and History: Records of washing instances are maintained for cleanliness and maintenance tracking.

Damaged and Replaced Bins: The system monitors bin conditions, recording damaged and replaced units.

Number of Bins in Stock with Every Service Provider: It tracks bin inventories with each service provider to manage stock levels.

Waste Source: Waste sources (residential, commercial, healthcare, etc.) are categorized for tailored waste management.

Waste Category: The system categorizes waste types, facilitating specialized handling and disposal.

Waste Transfer Station: It integrates with waste transfer stations to ensure smooth and efficient waste transfer processes.

Waste Transfer Landfill: Landfill management is supported, allowing for streamlined waste disposal operations.

Collection Trucks: Our solution integrates with IVMS to manage and track collection trucks across all routes.

Scheduled & Unscheduled Waste Collection Plans

System supports all the features listed below and manages them separately for efficient operations:

Scheduled Waste Collection: Allows MSW service providers to upload collection schedules, routes, bin cleaning routes, and allocate resources (bins, drivers, vehicles).

Driver App View for scheduled waste collection:

Driver and Helper Information: Supports the integration and upload of dispatched driver and helper details into the system.

Ad Hoc Jobs: Enables uploading of waste collection plans for Ad Hoc jobs to various third parties, linking driver and helper information to the assigned tasks.

Workflow for Ad Hoc Requests:

CRM Integration

The system is equipped to integrate with CRM platforms through APIs, enabling real-time tracking and management of issues linked to each service provider. This API-driven integration ensures seamless communication, with all incidents and service-related concerns automatically logged, monitored, and addressed within the unified system.

Bin Inspection Automation System

System includes an advanced Bin Inspection Automation System, leveraging AI technology for systematic and objective monitoring.

Bin Detection Model and KPI Classification: Utilizes AI to detect various bin types and sizes under diverse conditions, including day and night. Classifies bin images according to predefined Key Performance Indicators (KPIs), with adaptability to different lighting conditions and bin types. This supports long-term strategies, including public education and regulatory enforcement.

Collection Trucks

Collection Trucks Operations Management

System provides robust Collection Trucks Operations Management with the following features:

Live Map of Operations: Enables selection of existing contracts and real-time monitoring of all truck details on a dynamic map.

Truck Registration: Captures plate number, type, weight, and ID for each truck.

Routing: Manages and displays routing information for efficient truck operations.

Collection History: Tracks detailed collection history for individual trucks, as well as aggregated data for all trucks by time, date, and location.

Truck Washing History: Logs and manages washing schedules and instances for each truck

Maintenance Records: Maintains comprehensive records of truck maintenance activities.

Waste Collection Details: Provides detailed data on waste collection per truck, including by route, day, month, cumulative amounts, and waste types.

Collection Trucks Live data

System offers comprehensive integration with GPS systems and additional capabilities for effective Collection Trucks Operations Management:

Real-Time GPS Integration: Visualizes the locations of trucks and equipment using GPS coordinates, providing up-to-date tracking on a map.

Alerts and Notifications: Provides real-time alerts for route deviations, delays, and other relevant events compared to the scheduled plans.

Reporting Capabilities: Includes robust reporting features for analyzing vehicle performance, route efficiency, and waste collection metrics.

Data Privacy Compliance: Ensures compliance with data privacy regulations and protocols to safeguard sensitive information.

Access Controls: Implements user authentication and access control mechanisms to restrict system access to authorized personnel only.

Collection Trucks Washing & Maintenance Record

System provides a comprehensive solution for managing Collection Trucks Washing & Maintenance with the following features:

Maintenance Record: Introduces a feature for tracking and managing the upkeep of waste collection trucks, including detailed logs of all maintenance activities.

Washing and Maintenance Logging: Allows MSW service providers to record all washing and maintenance activities, schedule regular service checks, and receive reminders for upcoming tasks.

Driver Details Integration: Enables MSW service providers to update maintenance plans with driver details, ensuring all relevant personnel are informed and coordinated.

Collection Trucks on Board Weight

System includes an optional On-Board Weighing feature for waste collection trucks with the following capabilities:

Real-Time Weight Measurement: Equips trucks with an on-board weighing system for accurate, real-time measurement of waste weight during collection and transfer.

Immediate Load Insights: Provides instant access to load weights, allowing for better management and monitoring of waste collection.

Regulatory Compliance: Ensures that the system supports compliance with vehicle weight regulations to avoid overloading and ensure safe operations.

Collection Trucks IVMS

In Vehicle Monitoring System (IVMS) solution offers a comprehensive suite of hardware and software components with the following details:

Hardware Specifications: The IVMS solution includes high-quality, durable GPS tracking devices, sensors, cameras, and other relevant equipment. All hardware meets industry standards and is designed for robust performance in waste collection operations. All the equipment and details are elaborated in a separate section in the same document.

Software Features and Functionalities:

Real-Time Tracking: Provides live tracking of vehicle locations.

Route Optimization: Enhances route efficiency for improved operational performance.

Driver Behavior Monitoring: Tracks driver behavior including fatigue, speed, seat belt usage, harsh acceleration, and braking.

Odometer Monitoring: Records vehicle mileage for maintenance and operational insights.

Fuel Level and Consumption: Monitors fuel levels and consumption to manage efficiency and costs.

Additional Capabilities: Includes other relevant features tailored to operational needs. Live Traffic With real-time integration of live traffic data, our platform provides insights into road conditions and congestion. This crucial feature empowers you to adapt the best possible routes, guaranteeing your fleet's efficiency and on-time deliveries, even when faced with unexpected traffic obstacles.

Share Live Location Live location can be share through the platform:

Multiple Languages Supported Our system offers multiple languages in the system. We can change the language of the whole platform and the login page as well.

Specify Visit Places for vehicles Our comprehensive system includes geographic boundaries and geofence capabilities, enabling you to define custom geographic boundaries and receive instant notifications when your vehicles enter or exit these predefined areas. This feature enhances security and operational control within your fleet management strategy.

Point of Interest Our fleet management platform includes a Point of Interest (POI) feature that helps you identify and mark significant locations for your fleet operations. We can change the radius from 1 km to 500 km.

Overall fleet view on map

Route Optimization

System offers advanced route optimization capabilities with the following features:

Dynamic Route Calculation: Calculates optimal routes in real-time based on traffic conditions, weather, and collection schedules by calling data from different APIs for efficient operations.

Geofencing: Defines collection zones and automatically assigns vehicles to routes based on their proximity to collection points.

Priority Routing: Allows for priority routing for urgent/emergency collections, such as medical waste or overflowing bins.

GIS Integration: Utilizes Geographic Information System (GIS) data for precise route planning and visualization, leveraging mapping and spatial analysis tools.

Historical Data Analysis: Analyzes historical data to identify patterns and trends, improving future demand predictions and route optimization.

Real-Time Feedback Mechanism: Enables drivers to report road closures, obstacles, or changes in collection requirements, allowing for dynamic route adjustments in real-time.

Accident and Incidents Reporting

System provides a comprehensive Accident and Incidents Reporting module with the following features:

Real-Time Reporting: Captains can efficiently raise incidents to notify agents about events occurring during their routes. The captain’s application provides an intuitive interface for incident reporting, including a predefined list of incident types tailored to the project.

Essential Details Capture: Records key details including date, time, location, vehicle involved, nature of the incident.

Multimedia Attachments: When an incident is selected, captains are prompted to capture evidence, which includes taking multiple pictures with automatic timestamps, recording voice messages, and optionally, a fixed-length video if needed.

Incident Classification: Implements a classification system to categorize incidents by severity, aiding in prioritizing response and follow-up actions.

Immediate Notifications: Alerts designated personnel, such as supervisors or the HSE team, immediately upon submission of an incident report.

Comprehensive Records: Captains are permitted to create multiple incident reports during a route, with each report documenting a single type of incident. Data Analysis: Analyzes incident data to identify trends, patterns, and root causes, enabling proactive measures to prevent future occurrences. KPIs Tracking: Agents will attend to these incidents, logging their actions accordingly. Incidents that remain unattended are prioritized on the list for agents to ensure timely review and resolution.

Reporting

The platform allows the service provider to submit a monthly report covering the activities and performance metrics for the preceding month.

Inspection Activities

Inspection Reporting

In the system, we can design questionnaires on company admin level for collectors that can vary from project to project.

Admin can decide whether the (Vehicle Condition Report) VCR check will be questionnaire or certain checks without the questionnaire. Without those checks, the routes cannot be dispatched.

A user-friendly interface that allows stakeholders to easily build and personalize inspection checklists.

In cases where mobile data is unavailable, the app allows incident reporting to continue. The data will be logged in the mobile application along with timestamps and location. Once mobile data becomes available, the system will automatically generate the necessary notifications within the portal.

Integration with Be’ah Systems

To facilitate seamless integration, our system will utilize the following APIs:

Bin Inspection Automation System API: Enables generation of detailed reports post-inspection, tracking findings, corrective actions, and compliance status.

CRM Integration API: Captures on-ground non-compliance issues and reports them to the service provider for prompt rectification and follow-up.

IVMS

The team will install the IVMS system in Inspector’s cars.

Geo-Fencing

To enhance functionality, our system includes the following geo-fencing capabilities:

Automatic Activation: Implements geo-fencing to automatically trigger designated actions or alerts based on the inspector's location within geo-fenced areas.

Custom Geo-Fence Configuration: Allows for the configuration of custom geo-fence areas tailored to specific project needs. Can be selected as circle, rectangle or polygon.

Event Triggers: Facilitates setting triggers for both entry and exit events within the geo-fenced boundaries.

User-Friendly Interface: Provides an intuitive interface for creating and managing geo-fences, including visualization on a map for easy management and oversight.

Task Management

System's Task Management module includes the following features:

Task Creation and Assignment: Enables the Operation Manager to create and assign inspection tasks to specific inspectors.

Task Planning: Allows for planning inspection tasks on a daily, monthly and yearly basis.

Calendar View: Provides a calendar view for managers and inspectors to visualize scheduled tasks, deadlines, and overlapping assignments.

Task Allocation: Supports assigning tasks based on inspector availability, expertise, or geographical location.

Task Tracking: Facilitates tracking of task progress, completion status, and submission of inspection reports linked to assigned tasks.

Task Adjustment: Supports the adjustment, rescheduling, or reassignment of tasks with automatic updates and notifications to affected inspectors.

Dashboard Feature: Incorporates a comprehensive dashboard for managers to plan and oversee inspection tasks efficiently.

Journey Management: Includes a Journey Management feature for planning and optimizing inspection routes and schedules.

Waste Management Platform Components

The following components are included in the Waste Management Platform:

Waste Management Platform

In-Vehicle Monitoring System (IVMS)

Camera

Multi Speed Limiter (MSLD)

Tire Pressure Monitoring System (TPMS)

Fuel Monitoring

Seat Belt Monitoring

RFID Reader for Driver Identification

Panic Button

Weight Sensor Integration

High Quality Monitor

Proximity Warning Alert System

All these components are elaborated below:

Waste Management Platform

Route Planning and optimization

Zones, Towns, Wards wise bin deployment

Weight Counter Per Bin

Bin Module

Bin Report

Weight Report

Collector App

Admin App

Inspector App

Geo-zones

Bin Points and Automated update Bin location based on last collection

UHF Based bin Pickup

Geofence Radius Based Bin Pick up

QR-Code Bin Pick up

Bin Pick Up Picture

In-Vehicle Monitoring System (IVMS)

Monitoring

Live monitoring

Vehicle details

Device Details

Device Status

Speed

Odometer (GPS)

Odometer (CAN bus)

Viewership Access

Driver details (name, picture, mobile phone)

Driver Behavior

Live Notifications & Alerts

Maintenance Due

Tracks

Historical trips on the screen

Ability to extract the report

Trips replay

Messages

History of messages sent

History of data sensor sent

History of commands

Build your own report

Reports

Ability to export reports in Excel or PDF format

OPAL Reports

Event Report

Data Report

The system has the capacity to produce up to one month of Second-by-Second Data Report

Ability to print reports

Generate report based on Driver

Ability to display reports on the screen

Geofences

Ability to create geofences

Drivers

Ability to add drivers’ details

Notifications

Ability to create notifications

Users

Ability to add users with privileges

GPS Device for In-Vehicle Monitoring System

Types of antennas	External SMA
Systems	GPS, GLONASS
Receiver sensitivity	- 164 dBm
LTE	LTE Cat-M1 (bands 2,3,4,5,8,12,13,20,26,28)
SIM	2
Types of antennas GSM	External SMA
Memory Capacity	Up to 170 000 points; up to 2 500 000 points for each GB by using MicroSD card
USB	mini-USB 2.0
Analog-discrete and pulse frequency inputs	6
Transistor outputs	4
Digital inputs RS 485	1
Digitals inputs 1-Wire	1
CAN	2
Voltage range	0-33 V
Measuring resolution	1 mV
Maximum measured input frequency	4 kHz
Maximum voltage	30 V
Maximum current	200 mA
Outputs type	Transistor
Protocols	J1939, FMS, J1979, OBD II, 29-bit and 11-bit identifiers
Average power consumption	0,54 Вт
Operating power supply	9-39 V
Size	102 x 68 х 24 mm
Weight	150 gm
IP degree of protection	IP 54
Service life	10 years

Camera

MDVR MA81-08

H.265/H.264 video format 6-aix G-sensor, support HA/HB/HC detection AI: DMS, ADAS, BSD Compatible with Howen VSS and various FMS platforms Supports 8 ch AHD 720p/1080p cameras Supports 4 TB HDD for recording, and a SD Card upto 256 GB. Compact design, easy to install and modular design for easy maintenance Dual streams for local recording and wireless transmission Support 3G/4G, Wifi, GPS modules

360 Degree Camera Solution

Blind Spot Detection (BSD) for Front, Rear, Right & Left - Wide angle Camera

Features: 1/2.9″ CMOS Sensor 720P/960/1080P AHD 0.1 Low illumination Metal case IP67/IP68 4PIN aviation cable Lens 3.6mm (2.8/2.1 optional) Viewing angle: 3.6mm: 90°, 2.8mm: 100°, 2.1mm :120° Pan/Tilt adjustment Highlight Compensation DC12V power supply

360 Degree View

In- Cabin View Camera

Features: 1/2.9″ CMOS Sensor 720P/1080P AHD 0.1 Low illumination Day/night mode Audio Optional 4PIN aviation cable Lens 3.6mm (2.8/2.1mm for option) 12 Infrared LEDs Viewing angle: 3.6mm: 90°, 2.8mm: 100°, 2.1mm :120° DC12V power supply

ADAS

Front Facing Road View for Driving Behavior

Features:

DFMS

Driver Facing Camera for Driver Fatigue, Smoking, Drinking, Mobile Use, Yawning, Eyes closed with speaker to alert the driver.

Features:

Specification Sheet
Display on the main page	Yes
Model	Hero-C60S0D3-1MR
Manufacturer	Howen Technologies
Sensor type	1/2.7" CMOS Sensor
Number of pixels	1280(H)x720(V)
Lens	6.0 mm
Viewing angle	D=65° H=56° V=31°
Image format	720P
White balance	Automatically
Body adjustment	Present
Video standard	PAL/NTSC
Weight	100 gr
Video output	1 Vp-p, 75Ω Composite, AHD
Input voltage	12V DC ±10%
Working temperature	-25°C ~ +70°C
Dimensions	93 x 76 mm
Degree of protection	IP54

AI Camera for Bin Detetction

Features:

1/3 SONY CMOS. AHD

Predefined AI Features

IR illumination

175°Viewing Angle (Horizontal)

Working from -20 to 80℃

Mechanical Design

Designed for vehicle usages

Out Cabin Speaker

Features:

LED Sound & Audio alarm indicator

RS232, 12V DC, IP69K,

Including cables: 8pin-5pin extension cable (7m), USB convert cable (30cm), etc.

3 alarm indicator levels

Customize your own alarm audio file

Blind Spot Detection – Hardware Schematics

Multi Speed Limiter (MSLD)

Speed limiting using geofence through GPS device for multiple scenarios. Vehicle will not exceed a certain speed even if driver pushes the accelerator pedal.

Tire Pressure Monitoring System (TPMS)

A critical part of Afaqy’s TPMS+ Platform, the products not only unlock TPMS market leading, fully automated drop and hook solutions for customers.

Tire Pressure Live Monitoring Solution with Screen for Driver Alert and real time platform alert for admin/

Fuel Monitoring

Monitoring Fuel Consumption Fuel Dashboard:

Our fuel sensos can provide 97% accurate fuel reading to monitor fuel level and theft.

Within our system, the fuel report is presented in an interactive dashboard format. By simply clicking on it, a wealth of insights and valuable information instantly pops up, allowing you to delve deeper into fuel consumption data and make data-driven decisions for optimal fuel efficiency.

Dominant Wireless BLE Fuel Sensor

Seat Belt Monitoring

Afaqy provides the safety of vehicle operators and passengers by tracking and recording the usage of seat belts in waste management vehicles.

RFID Reader

The RFID Reader for Driver Identification is used to enhance security and accountability within waste management operations. By using RFID technology, each driver is assigned a unique RFID tag that they must scan before operating a vehicle. This system ensures that only authorized personnel can access and operate the vehicles, reducing the risk of unauthorized use. Additionally, it allows for accurate tracking of driver activity, including identifying who is operating the vehicle at any given time, monitoring driving patterns, and ensuring adherence to operational protocols.

Weight Sensor Integration

The platform features an integrated weight sensor system, as demonstrated in the attached screenshot. This integration allows for real-time monitoring and accurate measurement of weight, ensuring precise data collection and enhanced operational efficiency. The weight sensor seamlessly aligns with the platform's existing functionalities, offering a reliable solution for weight management and control across various applications.

POWER SUPPLY	Battery Li-SOCL2 3.6 В
MEASUREMENT PERIOD	from 1 to 10 sec
ADVERTISING PERIOD	from 1 to 10 sec
AVERAGING INTERVAL	from 1 to 60
RELATIVE MEASUREMENT ERROR	No more than 1%
WIRELESS TRANSMITTER	Bluetooth Low Energy 5.0, 2.4 GHz
TRANSMITTER POWER	Adjustable, up to 8 dBm
TILT ANGLE MEASURER	Inbuilt accelerometer, +/- 1G α°=arcsin(Z/127)
TEMPERATURE MEASURER	inbuilt, +/- 2°С
INBUILT MEMORY	4 МB
WIRELESS SOFTWARE UPDATE	YES
INGRESS PROTECTION	IP67
EXPLOSION PROTECTION	0ExiaIIBT6X
LIFETIME	7 years
MEASUREMENT LENGTH	990 MM/1490MM1990MM
HOUSING DIMENSIONS	80х80х25 MM
SENSOR DIMENSIONS	80х80х1015 MM

Printed Card for Driver Identification

Features:

Printed RFID Card

64-bit memory array laser programmable

Several options of data rate and coding available

On chip resonance capacitor

On chip supply buffer capacitor

On chip voltage limiter

Full wave rectifier on chip

Large modulation depth due to a low impedance modulation device

Operating frequency 100 - 150 kHz

Very small chip size convenient for implantation

Very low power consumption

Panic Button

The Panic Button installed in waste management vehicles will enhance the safety and security of drivers and operators. In case of an emergency, the driver can press the Panic Button to immediately alert the central operations center. This alert can trigger a rapid response, including contacting emergency services, dispatching assistance, or taking other appropriate actions to ensure the safety of the personnel. The Panic Button provides an added layer of security by ensuring that help can be quickly mobilized in situations such as accidents, health emergencies, or security threats.

BIN LEVEL SENSOR

1. Implementation of Sensors

The project for this tender can be executed in two phases:

Phase 1: Deployment of Smart Bin Level Sensors with calibration and monitoring functionality.

Phase 2: Integration of Bin Fill Level data with the Route Optimization Engine, enabling dynamic updates to upcoming and in-progress collection jobs. This reduces dead mileage and ensures collection vehicles are only dispatched to bins that require service.

2. Functional Requirements

2.1 Smart Bin Settings (System Enhancements)

• Introduce new category: Smart Bin Sensor under Settings → General → Smart Bin.
• Map IoT sensors to existing Bin Objects.
• Update “Installed On” field to reflect Bin mapping.
• Restrictions applied if “Bin” is selected (limited object rights).
• Mandatory mapping to collection address as per company.

Calibration Options:

• Units: Voltage, Level (mm), Percentage
• Thresholds: Full (%), Half (%)
• Calibration Type: Automatic (Full/Half/Empty Reading) or Manual (via XLS upload).
• Only one validated calibration allowed per sensor.
• Update bulk upload functionality to support Smart Bin category.

2.2 Live Tracking / Collection Address Enhancements

Add Bin Fill Level (%) column in Collection Address tab.

Enable filtering by:

• Bins above 80%
• Immediate collection required
• Display Bin Status: Empty, Half-Full, Full, Overfilled.
• Bin Tooltip to show:
• Real-time Fill Level Graph (%)
• Fall status
• Temperature monitoring
• Fire status indicator (Normal / High Temp / Fire Risk)
• Last collection time & Next expected collection
• Historical 7-day trend graph

Quick Actions: Create Job with GPS location (coordinates + address).

Color-coded indicators:

• 🟢 Below Threshold
• 🟡 Near Threshold
• 🔴 Exceeded Threshold

Auto-refresh every 30 seconds for real-time data sync.

2.3 Alerts & Notifications

• Bin Fullness Alert
• Trigger Conditions: Bin fill % exceeds configured threshold / consecutive high readings.
• Notifications: In-App, Email/SMS, Push.
• Format: Bin Fullness Detected on <Bin Name> – <Level%>.
• High Temperature / Fire Alert
• Trigger Conditions: Bin sensor detects abnormal temperature or fire risk.
• Notifications: Immediate in-App, Email/SMS, Push.
• Format: High Temperature / Fire Risk Detected on <Bin Name> – <Temperature Value>.
• Purpose: Early action to avoid fire hazards and escalation.

2.4 Route Optimization Integration (Phase 2)

• Integrate Smart Bin status with route optimization module.
• Dynamic job editing based on live bin data:
• Upcoming jobs adjusted if bin fill < threshold (skip unnecessary trips).
• In-progress jobs re-routed if nearby bins are over threshold.

Objective:

• Reduce dead mileage.
• Optimize fuel & time.
• Increase operational efficiency.
• Provide real-time “active status” of bins to fleet operators.

1. Non-Functional Requirements

• Performance: No degradation to existing system.
• Usability: User-friendly interface for managing Smart Bins.
• Security: Access restricted to authorized users only.

1. Acceptance of Scenarios

• Sensor Addition & Mapping: Sensors can be mapped to Bin objects.
• Data Capture & Display: System stores and displays Bin fill % and temperature in real time.
• Calibration & Accuracy Validation: Correct calculations via automatic/manual calibration.

Data Reporting & Analytics:

• Live tracking with color-coded icons.
• Tooltip with real-time & historical analytics.

Alerts:

• Notifications when bin level >80%.
• Alerts for abnormal temperature / fire detection.
• Job Creation & Route Optimization:
• Collection jobs can be dynamically assigned or updated.
• Route engine avoids unnecessary trips, minimizing dead mileage.

Functional Requirements for the development phase after award.

FRS 1: Screen 1 (Settings→ General→ Smart Bin)

Current Functionality

The current system allows adding vehicles equipped with GPS devices. It includes fields for reseller, company, branch, name, GPS tracker ID, device type, IMEI number, server address, SIM number, etc. where the Bin Level Sensor can also be added.

Bin Level Monitoring Feature 1

The Smart Bin screen can  add the new Category for the device to be added on vehicle or Bin

Navigation

Setting→ General→ Smart Bin

The proposed system can include a category for Smart Bin sensors. Smart Bin sensors can be mapped to existing bins in the system.

The installed-on field will be updated on Overview as new column.

If Bin is selected the Object rights can be removed from all screens excluding Object and system log.

If Bin is selected, we can enable below Mandatory configure to Map the existing Collection Address as per the company selected.

Bin <Dropdown><Optional> <Value = <PropertyId-Name>

The system will allow users to map sensors to bins and display the mapped sensors.

We must add new Connected Type for the SWM project, i.e. with Analog Category

Bin Level

The above sensor can involve calibration as mentioned below

• Sensor Output Unit <Dropdown>
• Battery Voltage
• Level [cm] or [%]
• Signal Strength
• Temperature
• Full Threshold <Textbox> %
• Half Threshold <Textbox> %
• Calibration Type <Radio> [When Voltage or Level is selected]
• Automatic
• Full Reading <Textbox>
• Half Reading <Textbox>
• Empty Reading <Textbox>
• Manual
• Sample upload [Xls]
• From Voltage / Level
• Value
• Apply To <Checkbox>
• Object selection

The Calibration will be validated one per connected sensor, multiple not allowed.

The Profile / Document and Private mode tab will be hidden when the Installed On Bin is selected with some highlighted fields.

The changes to be updated in Bulk upload functionality as well.

Connected Type: Bin Level

Calibration

Bin Level Monitoring Feature 2

We can Enhance the Live tracking / collection Address Tab to add the Smart Bin Analytics

Navigation

Live tracking→Collection Address.

Add a new column for Bin Fill Level (%).

• Enable filtering by:
• Bins that are above 80% full.
• Bins that require immediate collection.
• Show bin status (Empty, Half-Full, Full, Overfilled).
• Bin Tooltip (On Click of Bin Icon)
• Bin Fullness
• Widget Overview
• Real-Time Fill Level % (Graphical Representation)
• Fall status
• Temperature
• Fire Status
• Last Collection Time & Next Expected Collection
• Historical Fill Data (Last 7 Days Trend Graph)

Quick Actions:

• Create Job <Button>
• Location: <as per the GPS device data> <Coordinates & address>
• Enhance the tooltip to include a Bin Fullness Percentage Indicator.
• Display a color-coded warning (e.g., Green: Below Threshold, Yellow: Near Threshold, Red: Exceeded Threshold).
• Show last updated timestamp for bin level readings.

Data Refresh & Synchronization

The bin data will auto-refresh every 30 seconds for real-time accuracy.

The system will fetch sensor data from the mapped GPS IoT device and update fill levels dynamically.

Bin Level Monitoring Feature 3:

New Alert

Navigation via dynamic route/collection updates in jobs/collection points

Settings→General→Alert

We have to add the new alert as named "Bin Fullness.

Trigger conditions:

• Bin fullness percentage exceeds the configured threshold.
• IoT device sends consecutive high readings indicating consistent fullness.
• Notification types:
• In-App Alerts: Display alert notifications on the dashboard.
• Email/SMS Alerts: Configurable alerts for operational staff.
• Push Notifications: For users monitoring bins via the mobile app.

The Alert Info can be Bin Fullness Detected on <Bin name> <Level>.

Alert

Non-functional Requirements

• Performance: The addition of Smart Bin sensors will not degrade the system's performance.
• Usability: The user interface for adding and managing Smart Bin sensors will be intuitive and user-friendly.
• Security: Ensured that only authorized users can add or manage Smart Bin sensors.

Acceptance Scenarios

• Smart Bin Sensor Addition & Mapping: The system allow mapping it to an existing Bin object.
• Bin Level Data Capture & Display: The system will store and display the bin level in percentage (%).
• Calibration & Accuracy Validation: The system will correctly calculate and adjust bin level readings.

Data Reporting & Analytics

• The system will display bin icons in the Live Tracking screen with color-coded fill levels.
• Clicking on a bin will open a tooltip with real-time analytics.
• The Collection Address List will display bin fill levels and provide filtering options.
• A new Bin Analytics Widget will provide historical & real-time data.
• The system will send alerts when bins exceed 80% capacity and provide an option to assign collection jobs.

HARDWARE SPECS:

UHF Reader

UHF Tag

Features: Self-intellectual property Excellent anti-collision performance Support ISO18000-6B, ISO18000-6C (EPC C1G2) protocol tag 902~928MHz/860-865MHZ frequency band (frequency customization optional) FHSS or Fix Frequency transmission RF output power up to 30dbm(adjustable) Built-in high performance 9dbi circular antenna, one more extendable external antenna port Support auto-running, interactive and trigger-activating work mode Low power dissipation with single +9 DC power supply Support RS232, RS485, Wiegand interface with TCP/IP interface optional

Handheld UHF Tag Reader for Inspectors and Bin Tagging Operations on Site

 

SOFTWARE FOR BIN TAGGING

• Android PDA Application
• Login into the system
• Update Masters in the Device from Master Files
• Select Route Name / Number
• Scan the Bin Number / Serial Number / Barcode if Available on Bin
• Scan/Read RFID Tag EPC
• Select Bin Type (Capacity, Color, Material etc.)
• Capture the GPS Coordinates while Scanning
• Capture the date and time of scanning
• Capture Bin Pictures
• Selection Bin Pick up status
• Select the Bin condition (Broken, Dirty, Replaced, Missing etc.)
• Enter Remarks if any
• Generate the captured data as a file
• Master Files which can be copied from PC to Android PDA includes
• Route Name / Number
• Bin Type
• Bin Pick Status Master
• Bin Condition
• Login Master

Smart Phone for Driver App (Alternative Option to Rugged Tablet for Easy use)

Samsung Galaxy A26 5G 256GB 8GB RAM Black Smartphone

Features:

• 7" Super AMOLED display with slim bezel
• 50MP wide-angle camera for high-quality photos
• IP67-rated for dust and water resistance
• OIS for steady and clear shots
• 5,000 mAh battery for up to 17 hours of use

• CHAINWAY – C66 - Android Handheld Device
• Android 13.0, Qualcomm SD 662 Octa Core 2.0 GHz
• RAM/ROM – 4GB+64 GB
• Display - 5.5’ Screen HD Gorilla Glass
• NFC
• 4G
• WIFI
• BT
• GPS
• Rear Camera
• 4420m AH Battery USB-C Direct Charger
• SE 4710 2D Barcode Scanner
• Internal RFID Reader Power 26dBm
• Antenna Gain 1dBi

Reading distance wd5100CM with Rubber Boot and Screen Guard

Handheld Rugged Tablet For Driver App

The high-quality Handheld Rugged Device can be used by the Drivers to use the driver App for industrial conditions.

P80 - CHAINWAY

Proximity Warning Alert System

Proximity Sensor and Display

ACCESSORIES:

Wiring Diagram

Similar Project Installation Reference

General Technical Requirements

The General Technical Requirements for the Smart Waste System

Dashboards

Documentation and Knowledge Base

Afaqy will provide detailed documentation and a comprehensive knowledge base to support system administrators, be’ah staff, and service provider teams. This will include user manuals, technical guides, and step-by-step instructions for all software features and functionalities. The knowledge base will be regularly updated to reflect system enhancements and provide quick reference solutions, ensuring users can access the information they need to efficiently operate and maintain the system.

Reports

Attachment

Mobile Compatibility

Few Report Samples are shown below:

User Management

Integration/Interfacing

Browser Plugin and Extension Compatibility

URL: pro.ivms.om

Scalability

We ensure that the system we provide is fully scalable, designed to handle growing volumes of data, users, and additional functionalities without compromising on performance or efficiency. The solution will adapt to your evolving needs over time.

Automation

Our solution includes advanced automation features, streamlining routine processes such as data collection, report generation, and task assignments. This will significantly reduce manual intervention, increasing operational efficiency and accuracy.

Network Environment

We guarantee that the system will be optimized for your network environment, providing high availability, reliability, and low-latency communications, even across distributed locations, ensuring smooth, uninterrupted operations.

Security

We implement industry-leading security measures, including data encryption, secure access controls, regular audits, and strict compliance with data protection regulations, ensuring that all sensitive information is thoroughly safeguarded. Recently, we have updated the firewall on our server, further enhancing the system's protection against external threats.

Patch Management

Our system includes an efficient patch management process, ensuring timely updates to fix security vulnerabilities, software bugs, and performance issues. This process will be managed with minimal disruption, keeping the system up-to-date and secure.

Deliverables

We provide comprehensive deliverables, including full system functionality, detailed documentation, training materials, and any necessary hardware or software components to meet the project’s requirements and ensure successful deployment.

Handover

The handover process will include thorough training sessions, detailed operational and technical documentation, and ongoing support to ensure your team can efficiently manage the system post-deployment without any issues.

Project Approach

Our project approach is structured and organized, with clear phases, defined milestones, and timelines. This ensures that the project is executed smoothly, with all stakeholders aligned, leading to on-time and within-budget delivery.

Hosting

We offer hosting on our dedicated server located within Oman Data Park, ensuring low-latency, secure, and efficient access to the system. This local hosting solution guarantees optimal performance while complying with regional data regulations, ensuring both security and reliability for your operations.

Technical Requirements for Hardware

For the hardware installed in the vehicles for this project, we ensure the following specifications are met to provide an optimal solution:

Durability

Our hardware is designed to be rugged, effectively withstanding the harsh conditions of vehicle operations such as vibrations, temperature fluctuations, dust, and moisture.

Reliability

The components are highly reliable, ensuring continuous operation with minimal need for frequent maintenance or replacements.

Compatibility

The hardware is fully compatible with the vehicle’s existing systems and infrastructure, as well as with the overall waste management system we are implementing.

Security

Advanced security features are integrated into the hardware to safeguard against unauthorized access and tampering.

Real-Time Data Transmission

Our hardware supports real-time data transmission to the central operations center, allowing for efficient monitoring and management.

Power Efficiency

The hardware is energy-efficient, minimizing the impact on the vehicle’s power supply and ensuring optimal performance without draining the vehicle battery.

Redundancy

Critical components are equipped with redundancy features to guarantee high availability and failover capabilities in the event of hardware failure.

Ease of Installation and Maintenance

Our hardware is designed for easy installation and maintenance, featuring accessible components and comprehensive support from our team for regular maintenance and updates.

Compliance

The hardware complies with all relevant industry standards and regulations, ensuring that the system adheres to all legal and technical requirements.

Integration

Seamless integration with other installed technologies, such as GPS, RFID readers, seat belt monitoring systems, panic buttons, weight sensors, and fuel sensors, is a key feature of our hardware.

Support

We offer comprehensive support and warranty for the hardware, including prompt replacement of defective components and technical assistance as needed.

Data Storage

The hardware provides sufficient onboard data storage capacity to handle data collection during periods when real-time transmission is not feasible.

Communication

Robust communication capabilities ensure reliable connectivity for data transmission, utilizing cellular, satellite, or other relevant communication technologies.

Technical Requirements for OCC Hardware

For the Operations Control Center (OCC) hardware, we ensure the following technical specifications to deliver a high-performance and reliable solution:

Redundancy and Failover

We provide redundant systems and failover mechanisms to ensure high availability, significantly reducing the risk of downtime and ensuring continuous operations.

Storage Solutions

Our scalable, high-capacity storage solutions are designed to handle the vast amounts of data generated by the waste management system. These solutions include robust backup options and disaster recovery plans to safeguard data.

Networking Equipment

We ensure high-speed, secure, and reliable networking equipment for seamless communication across the OCC and the wider waste management system.

Workstations

Operators and analysts will work on high-performance workstations equipped with multiple monitors, ergonomic peripherals, and sufficient processing power to run advanced monitoring and analytics software efficiently.

Display Systems

We install large, high-resolution display systems for real-time monitoring, providing clear and comprehensive visualizations of key metrics, maps, and alerts to enhance decision-making.

Security Systems

The OCC will be equipped with advanced security hardware, including secure access control mechanisms, to prevent unauthorized access and ensure the integrity of operations.

Uninterruptible Power Supply (UPS)

To protect against power outages, we include robust UPS systems that provide continuous power to critical hardware, preventing data loss and operational disruptions.

Ergonomic Furniture

Our ergonomic furniture solutions ensure a comfortable and productive working environment for OCC personnel, promoting long-term efficiency and well-being.

Compliance

All hardware provided complies with relevant industry standards and regulations, ensuring that the system meets all legal and technical requirements for this project.

Integration

We guarantee seamless integration with the waste management system, ensuring interoperability with various technologies such as GPS, RFID readers, seat belt monitoring systems, panic buttons, weight sensors, and fuel sensors.

Support and Maintenance

Comprehensive support and warranty services are provided, including timely replacement of defective components, regular maintenance schedules, and technical assistance when needed.

Data Analytics and Visualization Tools

Our hardware supports advanced data analytics and visualization tools, enabling detailed analysis and reporting of operational data for enhanced decision-making and performance tracking.

Onsite Support Staff Requirements and Responsibilities

Afaqy will provide:

Immediate Assistance:

Rapid response to any urgent issues that arise, ensuring minimal disruption to the system's operations.

Functional Expertise:

Addressing various functional challenges within the system, leveraging their extensive knowledge and experience to troubleshoot and resolve issues efficiently.

Communication:

By ensuring the presence of a skilled and versatile consultant, Afaqy guarantees that be'ah receives prompt, effective support and continuous system optimization, thereby enhancing overall operational efficiency and user satisfaction.

Maintenance and Support

AFAQY will take responsibility for the complete deployment of the project, including rigorous pre-production testing for all modules to ensure they meet the specified functionality, performance, and integration criteria. Our team will implement a structured testing plan to verify that the system is operational and compliant prior to the final implementation phase. In terms of maintenance and support, we are prepared to manage all aspects related to hardware, software, and licensing throughout the contract duration. Our maintenance strategy will include regular updates, troubleshooting, and rapid issue resolution to ensure optimal performance and minimal disruption.

AFAQY will also proactively provide updates and enhancements as needed, ensuring the system remains current and fully compliant with all specified requirements.

Training and Knowledge Transfer

Afaqy will provide comprehensive initial and ongoing training sessions for system administrators, be’ah staff, and service provider teams. These sessions will ensure a thorough understanding of the software’s features and functionalities, enabling your team to fully leverage the system's capabilities and effectively address any minor issues that may arise. Our training program will cover all necessary aspects to maximize the potential of the software and support smooth day-to-day operations.

Service Level Agreement

Incidents

Communication about Incidents will follow the process below:

Appendix A

TRA Certificate

Appendix C

Appendix E

Server IP Location

Appendix G

Certificate of Health and Safety Management

Customer Support / Helpline for Clients

At Afaqy we have a dedicated team of three highly skilled personnel to assist and help with any technical queries faced by clients. The customer / contractor can raise their concern via an exclusive helpline number available during working days. In response to which a ticket is being generated within our helpdesk platform to keep a record of it.

Our dedicated customer support team comprises three highly trained agents who are at your service six days a week during regular office hours. They are well-equipped to assist you with a wide range of queries and concerns. The flowchart of ticketing mechanism is illustrated below:

Moreover, our technical team conducts random audits on scheduled email reports on a rotational basis and verifies the data accuracy to ensure that the data presented in these reports is accurate and reliable. If there is any issue faced in these reports, the data for each unit goes under inspection which leads to rectification of the problem. This procedure allows the customer to rely on reports to optimally make decisions.

Appendix B

TRA Product Approval Certificate

Appendix D

Letter from Oman Data Park

Appendix F

Certificate of Quality Management

SMART LANDFILL SOLUTION (MARDAM)

ADVANCED COMPUTER VISION AND GENAI TECHNOLOGY FOR HSE MONITORING

TECHNICAL PROPOSAL FOR WASTE TRADING PLATFORM INTEGRATED WITH LOGISTICS TRACKING FOR LOGISTIC PROVIDERS, BIDDERS, AUCTIONEERS AND TRADERS FOR END-TO-END TRADING PROCESS

DIGITAL TWIN PLATFORM

SERVER HOSTING

VULNERABILITY ASSESSMENT & PENETRATION TESTING