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A multi-party self-sustaining method for manufacturing cross-data entity traceability based on blockchain

A data entity and manufacturing technology, applied in data processing applications, manufacturing computing systems, structured data retrieval, etc., can solve problems such as complexity, data opacity, and multiple sources of manufacturing data

Inactive Publication Date: 2021-04-20
INST OF INFORMATION ENG CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In short, the existing technology has the following shortcomings and deficiencies: (1) The evolution traceability of most existing manufacturing data is granted by a single third-party authoritative department, which makes the traceability of manufacturing data limited to a single third-party authoritative department. Low efficiency; (2) Modern manufacturing data includes data generated at each stage of design, management, manufacturing, and service, as well as related external data. The cost of communication between upstream and downstream enterprises is high

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  • A multi-party self-sustaining method for manufacturing cross-data entity traceability based on blockchain
  • A multi-party self-sustaining method for manufacturing cross-data entity traceability based on blockchain
  • A multi-party self-sustaining method for manufacturing cross-data entity traceability based on blockchain

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Embodiment Construction

[0020] In order to make the purpose, advantages and technical solutions of the present invention clearer, through the following specific measures, combined with the attached Figure 1-4 , the present invention will be described in further detail.

[0021] The first step is to divide the entity cluster based on the role of the manufacturing data entity in the evolution process as the unit node, and establish a multi-party self-sustaining manufacturing cross-data alliance blockchain network based on distributed ledgers across data entities. According to the design, management, manufacturing, and service stages of modern manufacturing, the evolution and reasoning direction of manufacturing data is from raw data to knowledge base and then to intelligent elements. The original data entity is established with the relevant manufacturing department that provides the original data as the unit node. The original data distributed ledger is shared within the entity cluster, and the origin...

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Abstract

The invention relates to a multi-party self-sustaining method for traceability of manufacturing entities across data entities based on blockchain, using alliance blockchain technology to divide different manufacturing entity clusters by taking the roles of manufacturing data entities in the evolution process as unit nodes , to establish a multi-party self-sustaining manufacturing cross-data alliance blockchain network based on distributed ledgers across data entities; the manufacturing data entities include: original data entities, knowledge base entities, and smart element entities; according to manufacturing data evolution and The reasoning direction is to upload the data generated in each stage of manufacturing design, management, manufacturing, and service and related external data information to the cross-data entity multi-party self-sustaining manufacturing cross-data alliance blockchain network based on distributed ledgers, Realize the confirmation and filing of the case; the information transfer between entities will be quickly and collaboratively updated by the parties in the alliance network through the consensus mechanism; the entities will jointly ensure the interaction of data between entities in the chain according to the updated distributed ledger , non-repudiation, to achieve reliable traceability of data.

Description

technical field [0001] The invention belongs to the field of data traceability in the manufacturing industry, and specifically relates to a method for cross-data entity traceability in the manufacturing industry based on blockchain multi-party self-sustainment. Background technique [0002] At present, with the deepening of the global division of labor, the data generated by modern manufacturing has grown exponentially, resulting in various multi-source, heterogeneous, and complex manufacturing data. At the same time, this situation has led to data opacity, leading to Downstream enterprises have high communication costs. This has brought great challenges to the effective governance of big data in modern manufacturing enterprises. At present, in the process of cross-entity data traceability in the manufacturing industry, there are generally the following major drawbacks that restrict its safety and efficiency: (1) Modern manufacturing data includes data generated in various ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/21G06F16/27G06Q50/04
CPCG06Q50/04G06F16/21G06F16/27Y02P90/30
Inventor 霍冬冬王瑜周启慧陈亚王肖晏敏王雅哲
Owner INST OF INFORMATION ENG CHINESE ACAD OF SCI