Blockchain Metadata Storage for Logistics Waiting Time Verification
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Solution Overview
Problem
Distribution service providers often experience excessive waiting times at package collection points due to the convenience of senders, leading to fatigue and inefficiencies in managing loading waiting times.
Innovation Solution
An information processing system utilizing blockchain technology to efficiently manage and verify loading waiting time data by linking main data and metadata, ensuring accurate and efficient data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If loading waiting time data is managed using conventional methods, then data management is simple, but data accuracy and verification capability are insufficient
Solution Approach 1:
The patent segments data into two types: metadata (stored on blockchain) and main data (stored in conventional databases). This segmentation allows the system to leverage blockchain's verification capabilities for critical time-stamp data while keeping the overall system architecture manageable and avoiding the complexity of storing all data on blockchain.
Solution Approach 2:
The patent introduces blockchain as an intermediary layer between data collection and verification processes. The blockchain stores metadata that acts as a trusted mediator to verify loading waiting time data accuracy, enabling third-party verification without requiring direct trust between all system participants.
2Measurement precision
If all data is stored on blockchain, then data accuracy and verification are improved, but storage efficiency and cost increase
Solution Approach 1:
The patent divides data storage between blockchain and conventional databases based on data type and verification requirements. Only metadata requiring verification is stored on blockchain, while main data is stored in conventional databases, optimizing both verification capability and storage efficiency.
Solution Approach 2:
The patent extracts only the essential verification-critical metadata from the complete dataset and stores it on blockchain. This extraction approach maintains verification capability while minimizing blockchain storage requirements and associated costs.
3Reliability
If loading waiting time is not accurately tracked, then operational flexibility is maintained, but distribution service provider fatigue increases and compliance becomes difficult
Solution Approach 1:
The patent implements a feedback mechanism where loading waiting time data is automatically recorded, stored on blockchain for verification, and made accessible to all parties. This transparent feedback system ensures compliance verification while providing visibility into time losses, enabling better operational planning and sender awareness.
Solution Approach 2:
The patent performs preliminary recording of loading waiting time data at the source (collection points) before distribution processes continue. This preliminary action ensures accurate time tracking from the moment loading begins, preventing time loss accumulation and enabling immediate verification.
Data Source
AI summary
The objective of the present invention is to efficiently manage data required to verify the loading waiting time of a logistics contractor (truck driver), while ensuring the accuracy of the data. A metadata storage control unit 103 executes control to cause metadata relating to main data to be stored on a network N using blockchain technology or distributed ledger technology. A main data storage control unit 104 executes control to associate linking data linking metadata stored on the network N and the main data with the main data, and to store the same in a main data database 181 on a server 1.