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Business Domain E

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Business Domain: Smart City Waste Management and Recycling System

Overview:

The Smart City Waste Management and Recycling System is an integrated, IoT-driven platform designed to:

optimize waste collection,

promote recycling, and

improve overall urban cleanliness.

his distributed, edge computing application leverages various

sensors,

AI algorithms, and

citizen engagement to

create a more efficient, sustainable, and environmentally friendly waste management ecosystem for urban areas.

Key Components:

1. Smart Waste Bins - IoT-enabled sensors to monitor fill levels and waste composition - Automated compactors to increase bin capacity - Solar-powered bins with wireless communication capabilities

2. Dynamic Route Optimization - Real-time routing of waste collection vehicles based on bin fill levels - Traffic-aware path planning to minimize fuel consumption and time - Weather-adaptive scheduling to handle special conditions

3. Waste Sorting and Recycling - AI-powered image recognition for automated waste sorting - Robotic systems for separating recyclables at collection points - Blockchain-based tracking of recycled materials

4. Citizen Engagement Platform - Mobile app for reporting illegal dumping or overflowing bins - Gamification elements to encourage proper waste disposal and recycling - Educational content on waste reduction and environmental impact

5. Waste-to-Energy Conversion - Monitoring and optimization of biogas production from organic waste - Integration with smart grid for energy distribution - Real-time emissions monitoring and reporting

6. Hazardous Waste Management - Specialized tracking and handling of hazardous materials - Secure chain-of-custody documentation using blockchain - Automated scheduling of specialized collection services

7. Predictive Maintenance - IoT sensors on waste collection vehicles for performance monitoring - AI-driven predictive maintenance to prevent breakdowns - Automated inventory management for spare parts

8. Data Analytics and Reporting - Big data analysis for waste generation patterns and trends - Machine learning models for waste volume predictions - Automated reporting for regulatory compliance and public transparency

9. Circular Economy Marketplace - Platform for connecting waste producers with recyclers and upcyclers - Real-time pricing for recyclable materials based on market demand - Quality assurance system for recycled materials

10. Smart Litter Detection - AI-powered cameras for identifying litter in public spaces - Automated dispatch of cleaning crews or litter-picking robots - Integration with public awareness campaigns

11. Odor and Pest Control - IoT sensors for monitoring odor levels around waste facilities - Automated pest control systems at waste storage areas - Real-time air quality monitoring in waste processing zones

12. Green Points Reward System - Tracking of individual and community recycling efforts - Integration with local businesses for eco-friendly incentives - Blockchain-based token system for redeeming green points

This business domain offers a rich and complex environment for students to work with, incorporating various aspects of distributed systems and edge computing in an urban waste management context. It allows for extensive UML modeling, including:

1. Class diagrams for the main system components and their relationships 2. Sequence diagrams for processes like dynamic route optimization or automated waste sorting 3. Use case diagrams for different user types (e.g., citizens, waste collectors, city officials) 4. Activity diagrams for workflows like recycling processes or hazardous waste handling

The domain provides numerous opportunities to implement advanced TypeScript features, such as:

- Generics for handling different types of waste data and sensor information - Decorators for implementing cross-cutting concerns like logging or data validation - Interfaces and abstract classes for defining consistent structures across the distributed system - Asynchronous programming patterns for handling real-time data streams from various sensors and IoT devices

This project would give students hands-on experience in designing and implementing a large-scale, distributed application that addresses real-world urban waste management challenges. It combines elements of IoT, AI, blockchain, and citizen engagement, making it an excellent opportunity for students to apply both software engineering principles and advanced TypeScript development techniques in a practical, industry-relevant context. The distributed nature of the system also provides a great opportunity to explore edge computing concepts and real-time data processing in a smart city environment.

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