Cold Chain Cargo Tracking With Blockchain Sensor Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current supply chain systems lack the capability to provide continuous, real-time data of a cold or cool chain, leading to potential spoilage and safety risks for sensitive goods like pharmaceuticals and orthopedic grafts, and fail to ensure regulatory compliance and operational efficiency.
Innovation Solution
A system integrating real-time sensor data with blockchain ledgers and smart contracts, enabling secure and accessible inventory management through a user interface, which monitors cargo conditions and executes smart contracts based on sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional tracking systems are used for healthcare cargo, then system complexity is reduced, but real-time monitoring capability and reliability are insufficient
Solution Approach 1:
The system segments monitoring functions into independent IoT sensors deployed at various supply chain nodes, each capturing specific parameters (temperature, humidity, shock). This modular segmentation enables reliable real-time monitoring without requiring a monolithic complex system, as each sensor unit operates independently and contributes to the overall monitoring capability.
Solution Approach 2:
The patent introduces blockchain technology as an intermediary layer that mediates between IoT sensors and the central platform. This intermediary enables automatic data verification, storage, and sharing across the supply chain, enhancing reliability through decentralized consensus while maintaining manageable system complexity through standardized protocols.
2Reliability
If continuous real-time monitoring is implemented, then cargo integrity is improved, but data storage requirements and system complexity increase
Solution Approach 1:
The system extracts only the most critical cargo condition parameters (temperature, humidity, shock events) for continuous monitoring and storage, rather than capturing all possible sensor data. This selective extraction maintains cargo integrity monitoring while significantly reducing data storage requirements by focusing on essential quality indicators.
Solution Approach 2:
The blockchain ledger performs preliminary data verification and validation at the point of generation, filtering and structuring data before it enters the central storage system. This preliminary action ensures data quality and integrity while reducing the burden on downstream storage systems by pre-processing and validating data in real-time.
3Loss of information
If blockchain technology is integrated for data security, then transparency and accountability are improved, but processing speed and system complexity increase
Solution Approach 1:
The system implements blockchain technology partially, using it specifically for critical data elements requiring maximum transparency (cargo condition data, handoff records, compliance information) rather than all supply chain data. This partial implementation achieves the necessary transparency and accountability for healthcare cargo while minimizing the processing overhead and complexity associated with full blockchain integration.
4Reliability
If stringent storage requirements are enforced, then cargo quality is maintained, but operational flexibility and system complexity increase
Solution Approach 1:
The system implements automated feedback loops where IoT sensors continuously monitor cargo conditions and immediately alert system operators when parameters deviate from prescribed ranges. This real-time feedback enables rapid corrective actions to maintain cargo quality while simplifying operations through automated monitoring rather than requiring constant manual intervention and complex procedural protocols.
Data Source
AI summary
A system that monitors supply chain inventory includes at least one computing device that receives sensor data from a sensor apparatus on a transport, where the sensor data indicates real-time information associated with a cargo on the transport. The at least one computing device also encrypts the sensor data on a blockchain ledger, or stores the sensor data in a hash table. The at least one computing device also maintains a database of stored credentials associated with the sensor data or information associated with the sensor data. The at least one computing device also receives entered credentials from a user interface, and indicates the sensor data or information associated with the sensor data through the user interface based on the entered credentials matching at least one of the stored credentials.