Manufacturing industry cross-data entity tracing method based on block chain multi-party self-maintenance
A data entity, manufacturing technology, applied in manufacturing computing systems, data processing applications, structured data retrieval, etc., can solve the problems of limited data traceability, data opacity, and multiple sources of manufacturing data in manufacturing
Inactive Publication Date: 2019-07-30
INST OF INFORMATION ENG CHINESE ACAD OF SCI
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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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[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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The invention relates to a manufacturing industry cross-data entity tracing method based on block chain multi-party self-maintenance. The method includes: dividing different manufacturing industry entity clusters by using roles of the manufacturing industry data entities in an evolution process as unit nodes by using an alliance block chain technology, and establishing a cross-data entity multi-party self-maintenance manufacturing industry cross-data alliance block chain network based on a distributed account book, wherein the manufacturing industry data entity comprises an original data entity, a knowledge base entity and an intelligent element entity; according to the manufacturing industry data evolution and reasoning direction, uploading data generated in all stages of design, management, manufacturing and service of the manufacturing industry and related external data information to the cross-data-entity multi-party self-sustaining manufacturing industry cross-data-alliance blockchain network based on the distributed account book, and achieving a right confirmation case; quickly and cooperatively updating the information transmission condition between the entities by all parties in the alliance network through a consensus mechanism; and enabling the entities to jointly ensure that the data interaction between the entities in the chain has a trace and is not repudiated according to the updated distributed account book, so that data credible traceability is realized.
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 ...
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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