Development of an IoT-Integrated Truck Configuration and Data Validation System

The client faces difficulties in capturing accurate vehicle configuration data during operations, ensuring data integrity, and enabling seamless data sharing across systems. Current manual or fragmented systems lead to inefficiencies, inconsistencies, and challenges in verifying vehicle compliance with configuration standards in a real-time, secure manner.

A mid-sized logistics company operating a fleet of delivery trucks that requires real-time configuration management, data collection, and blockchain-based data integrity verification.

• Automate the collection of measurable vehicle configuration variables in real-time using onboard systems.
• Integrate with external data sources via an ontology platform to dynamically retrieve vehicle configuration schemas.
• Implement secure data transmission and storage solutions, including blockchain-based data verification via smart contracts.
• Provide a real-time visualization dashboard for monitoring truck configurations and system status.
• Enable seamless system discovery and communication using standardized service frameworks.

• Onboard data measurement modules for capturing variables such as temperature, GPS position, and sensor flow data.
• Connectivity to external ontology services for dynamic configuration schema retrieval using a standardized protocol.
• Secure data transmission to backend servers via industrial communication protocols (e.g., IDSCP).
• Blockchain integration to log measurement data with transaction hashes for data integrity verification.
• Backend storage solutions with NoSQL databases for flexible data management.
• Real-time visualization dashboard for monitoring vehicle configurations and system status.
• Service discovery and communication management using a service registry framework for seamless integrations.

• External ontology provider for dynamic configuration schema retrieval
• Distributed Ledger Technology (Blockchain platform) for transaction registration and validation
• Communication protocols (e.g., IDSCP) for secure data transmission
• Frontend visualization tools for real-time monitoring

• System should support real-time data collection and processing with minimal latency.
• Data security and compliance with industry standards for blockchain and data transmission.
• High availability and scalability to accommodate multiple vehicle data streams simultaneously.
• Secure access controls and authentication mechanisms for data privacy.
• Reliable service discovery and seamless integration with external platforms.

The implemented system aims to enhance operational efficiency by automating configuration data collection and validation, reduce manual errors, and ensure data integrity through blockchain verification. Expected outcomes include improved compliance monitoring, faster decision-making, and scalable data management capable of supporting large and distributed vehicle fleets. This will result in increased transparency, security, and operational reliability for the client’s logistics operations.