Product analysis method and system based on life cycle-system level data chain model

Through blockchain technology based on the lifecycle-system level data chain model, the problems of data transparency, collaboration and intelligence in the digital system of the manufacturing industry are solved, transparent tracking and efficient analysis of data are achieved, and the credibility and intelligence level of the system are improved.

CN118534852BActive Publication Date: 2025-10-10GUANGDONG UNIV OF TECH
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Patent Information

Application Number
CN202410504984.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-04-25
Publication Date
2025-10-10
Estimated Expiration
2044-04-25

AI Technical Summary

Technical Problem

In traditional manufacturing digital systems, product lifecycle data management lacks transparency, making it difficult to achieve global coordination. Local decision-making and global coordination are difficult, and the imbalance of small sample data affects data credibility and availability. The level of intelligence is limited, making it difficult to process efficiently and conduct deep learning.

Method used

A lifecycle-system-level data chain model is adopted, decentralized data storage is performed through blockchain technology, and combined with smart contracts and edge computing, transparent recording and analysis of product lifecycle and system-level data are achieved. The fuzzy entropy method is used to balance small sample data, and the time window and process granularity are dynamically adjusted to support local self-organization and global optimization.

Benefits of technology

It achieves transparent tracking and global collaboration of product lifecycle data, improves data credibility and overall system availability, enhances the intelligence level of the manufacturing system, and provides a comprehensive and efficient solution for digital transformation.

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Abstract

The application discloses a product analysis method and system based on a life cycle-system level data chain model, realizes transparent recording and tracing of product life cycle data through a decentralized data storage platform of a block chain, applies smart contract technology, accurately cooperates global and local decisions, and breaks the collaboration bottleneck of a traditional manufacturing system. Meanwhile, the problem of small sample data imbalance is solved by using a distributed sharing mechanism of the block chain, and the data credibility and the overall availability of the system are improved. On the basis of the decentralized data storage platform, a product life cycle and system level double digital main line block chain data model is established, an intelligent manufacturing data analysis and knowledge learning model is established in a method domain, the block chain is combined with edge computing, data processing is more efficient and intelligent, the intelligent level of the manufacturing system is further improved, and a comprehensive, efficient and intelligent solution is provided for digital transformation.
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