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Development of an IoT-Enabled Management System for Waste Collection Vehicles to Enhance Environmental Sustainability
  1. case
  2. Development of an IoT-Enabled Management System for Waste Collection Vehicles to Enhance Environmental Sustainability

Development of an IoT-Enabled Management System for Waste Collection Vehicles to Enhance Environmental Sustainability

scalosoft.com
Manufacturing
Automotive

Challenges in Modernizing Waste Collection Systems with IoT and Regulatory Compliance

The client faces limitations in connectivity and IoT capabilities within their waste collection vehicles, impacting operational efficiency and environmental sustainability. Existing software systems lack integration of advanced industrial IoT technologies, which hampers optimal vehicle operation and adherence to strict safety and environmental regulations.

About the Client

A global manufacturer specializing in the production of industrial waste collection vehicles with a focus on automation, innovation, and environmental conservation.

Goals for Developing an Advanced IoT-Integrated Waste Management System

  • Design and implement a modern software architecture capable of managing waste collection, transportation, and sorting processes effectively.
  • Integrate advanced industrial IoT technologies including smart sensors, IoT communication protocols, machine learning algorithms, and energy-efficient components to optimize vehicle operations.
  • Ensure compliance with relevant safety and environmental standards such as ISO, IEC, and EC regulations.
  • Develop a scalable system supporting connectivity with external IoT platforms and internal enterprise systems to enhance data collection and process automation.
  • Establish a robust software development process aligned with best practices, including the V-Model frameworks.

Core Functional Capabilities for the IoT-Enabled Waste Management System

  • Smart sensor data collection for real-time monitoring of vehicle and waste processing parameters.
  • IoT communication architecture supporting reliable data transmission across multiple devices and networks.
  • Automated process management for waste collection, transportation, and sorting operations.
  • Data analytics and machine learning algorithms to optimize routing, scheduling, and resource utilization.
  • Compliance modules ensuring adherence to local and international safety and environmental standards.
  • Energy-efficient hardware components to minimize power consumption and environmental impact.
  • Integration interfaces with existing enterprise systems and external IoT platforms for seamless data flow.

Technological Foundations and Architectural Preferences

Linux-based embedded systems
C++ programming language
CANOpen protocol for vehicle communication
Confluence and Jira for project management
Gitlab and XRay for code and test management
Implementation of IoT communication protocols and machine learning algorithms

Essential System and External System Integrations

  • Industrial IoT sensors and communication networks
  • Enterprise resource planning (ERP) and fleet management systems
  • Safety and regulatory compliance validation modules
  • External cloud platforms for data analytics and device management

Performance and Security Expectations for the System

  • System must support real-time data processing with latency under 1 second for critical operations.
  • System should be scalable to accommodate additional vehicles and sensors with minimal reconfiguration.
  • High levels of cybersecurity to protect data integrity and prevent unauthorized access.
  • Compliance with applicable safety and environmental standards (e.g., ISO, IEC, EC).
  • Energy-efficient hardware components to reduce overall power consumption.

Expected Business and Environmental Impact of the IoT-Enabled Waste Management System

The deployment of the IoT-integrated waste collection system is anticipated to significantly enhance operational efficiency, reduce waste and energy consumption, and ensure strict regulatory compliance. This will foster environmental conservation initiatives, improve fleet reliability, and potentially reduce operational costs through optimized routing and resource management.

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