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Development of an IoT Cargo Monitoring and Freight Integrity System
  1. case
  2. Development of an IoT Cargo Monitoring and Freight Integrity System

Development of an IoT Cargo Monitoring and Freight Integrity System

nix-united.com
Supply Chain
Logistics
Transport

Challenges in Real-Time Cargo Tracking and Condition Monitoring

The client faces difficulties in maintaining stable communication between smart cargo tags and management software, especially with differing tag types such as NFC and UHF. The lack of proper documentation hampers configuration and data extraction, hindering proactive management of shipment conditions such as temperature and location. Consequently, there is a risk of product deterioration, delayed response to deviations, and lack of transparency in the transportation process.

About the Client

A global logistics provider specializing in transportation and tracking of perishable and sensitive goods seeking real-time cargo visibility and condition monitoring.

Goals for Implementing an Enhanced IoT Cargo Monitoring System

  • Implement a comprehensive solution for real-time tracking of cargo location and temperature during transit.
  • Ensure reliable communication between different types of smart tags (NFC and UHF) and centralized management platforms.
  • Develop web and mobile applications for monitoring, notifications, and configuration of cargo tags.
  • Integrate IoT devices with cloud services to enable continuous data collection and analysis for risk management.
  • Provide visualization tools for location and environmental data to facilitate proactive decision-making.
  • Enhance transparency and accountability across the supply chain, reducing product spoilage and improving delivery proof.

Core Functionalities of the IoT Cargo Monitoring System

  • A web portal for administrators to manage and monitor real-time data from NFC and UHF tags, including location and temperature information.
  • Mobile applications for iOS and Android to enable field personnel to read tags, configure devices, and receive critical alerts.
  • Desktop application interface for UHF RFID readers to facilitate bulk data collection from cargo containers.
  • IoT cloud infrastructure based on a scalable platform to collect telemetry data via protocols like HTTPS, WSS, AMQP, and MQTT.
  • Real-time visualization dashboards for tracking shipment routes, temperature fluctuations, and alert notifications for threshold breaches.
  • APIs and backend services to support device configuration, data storage, and analytics functions.
  • Features for route risk analysis, deviation detection, and predictive forecasting to preempt cargo deterioration.

Preferred Technologies and Architectural Approaches for IoT Integration

Azure IoT Hub for device connectivity and telemetry data processing
ReactJS for web-based control and monitoring dashboards
Mobile platforms using native technologies (iOS and Android) for communication with tags and notifications
Azure Functions and Azure Service Bus for backend processing and message handling
Azure Cosmos DB for scalable data storage
Azure Maps or Mapbox for geospatial visualization
Bluetooth Low Energy (BLE) for proximity device communication where applicable
Standards-based protocols including HTTPS, WSS, AMQP, and MQTT for device communication

Essential External System Integrations

  • IoT device communication protocols for data transfer from NFC and UHF tags
  • Mapping services for real-time route visualization
  • Notification services for alerts and updates to mobile and web applications
  • Data analytics tools for risk assessment and predictive modeling

Key Non-Functional System Requirements

  • High system scalability to support thousands of tags and multiple concurrent users
  • Low latency data collection and visualization with real-time updates
  • Secure data transmission and storage compliant with industry standards
  • System uptime of at least 99.9% to ensure continuous shipment monitoring
  • Robust error handling and failover mechanisms for reliable operation

Projected Business Impact and Expected Benefits

The implementation of this IoT cargo monitoring solution aims to significantly reduce product spoilage and damage by enabling proactive management of transportation conditions. The system is expected to provide real-time visibility, improve delivery proof, and increase transparency among stakeholders. These improvements are projected to enhance customer trust, optimize supply chain efficiency, and potentially reduce operational costs associated with cargo loss or delays.

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