Multidisciplinary Minor Smart Cities Students

Multidisciplinary Minor Smart Cities Students

• 1.
  Automated Robotic System for UrbanPollution Control This project proposes an innovative approach to urban waste management by developing an IoT-based robotic cleaning system. This system aims to address the challenges of space constraints, accessibility, safety, and specialized techniques associated with waste management in urban areas.
• 2.
  Problem Statement Space Constraints Urbanareas often face limited space for waste storage and disposal, leading to overcrowding and environmental hazards. Accessibility Issues Reaching certain areas for cleaning, such as narrow alleys or hard-to-reach corners, can be challenging for traditional methods. Safety Concerns Manual waste collection can pose risks to workers, especially in areas with heavy traffic or hazardous materials. Specialized Techniques Specific types of waste, such as hazardous materials or bulky items, require specialized handling and disposal methods.
• 3.
  Scope 1 Waste DataCollection The system will gather information about the amount of waste and locations requiring cleaning in a specific urban region. 2 Autonomous Cleaning Robots A network of autonomous cleaning robots will be deployed, equipped with sensors and connectivity to enhance waste collection and cleaning efficiency. 3 Data Visualization and Monitoring Residents and city administration will have access to a spatial database and maintenance records, allowing them to track cleaning activities.
• 4.
  Objective The primary objectiveis to design and implement an IoT-enabled robotic system capable of effectively cleaning and maintaining urban last-mile environments, often inaccessible or dangerous. The system will analyze waste accumulation data to identify patterns, high-frequency locations, and seasonal trends in waste generation. This data will be used to optimize robotic cleaning routes and schedules.
• 5.
  Methodology 1 Literature Review Researchexisting robotic cleaning technology and smart waste management systems to inform future design considerations. 2 System Design Select robotic systems with cleaning mechanisms suitable for urban environments, equip robots with appropriate sensors for waste detection, and design a communication network for data collection and transmission. 3 Hardware Development Build or customize robots for specific cleaning tasks, ensure reliable connectivity and sufficient battery life for prolonged operations. 4 Software Development Set up a server to aggregate and process data from multiple robotic cleaning units, develop a web and mobile application for data visualization, interaction, and status monitoring. 5 Data Analysis Analyze waste accumulation data to determine patterns, high-frequency locations, and seasonal trends in waste generation, and use the analyzed data to optimize robotic cleaning routes and schedules.
• 6.
  Outcome: Product Robotic CleaningUnits Cost-effective, IoT-enabled robotic cleaners that can be easily deployed in various urban locations. These robots will be capable of detecting waste, collecting it, and transmitting real-time data to a central server. Data Aggregation Platform A cloud-based or local server platform that aggregates data from multiple robotic cleaners, providing a centralized database for analysis and optimization.
• 7.
  Outcome: Simulation Model WasteAccumulation Simulation A simulation model that visualizes waste accumulation patterns in different urban environments, considering factors such as foot traffic, proximity to residential areas, and public events. Impact Assessment Tool A model to assess the potential impact of new urban developments, public events, or changes in foot traffic on waste levels, assisting policymakers in effective planning.
• 8.
  Outcome: Application A user-friendlyapplication for residents and city officials to access real-time cleaning status and alerts from robotic units, view historical trends in waste levels and cleaning frequency, receive notifications when high waste levels are detected, report additional cleaning requests or contribute data for optimization, and access educational resources to raise awareness on responsible waste disposal and encourage public participation in cleanliness efforts.