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Chinese Journal of Management Science ›› 2023, Vol. 31 ›› Issue (11): 332-340.doi: 10.16381/j.cnki.issn1003-207x.2022.0287

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Research on Digital Resource Aggregation and Recognition Method of Multi Value Chain Collaborative Data Space of Manufacturing Enterprises Based on Semantics

Jie-ping HAN1,Dan ZHAO1(),Xiao-long YANG1,Mei-ling GU1,Huan-fen ZHANG2   

  1. 1.Northeast Electric Power University, Jilin 132012, China
    2.Beijing QingChang Power Technology Co. , Ltd, Beijing 100085, China
  • Received:2022-02-17 Revised:2022-05-29 Online:2023-11-15 Published:2023-11-20
  • Contact: Dan ZHAO E-mail:1020848485@qq.com

Abstract:

In order to solve the problem of digital resource aggregation and identification caused by large data volume, low data value density, large data object granularity and fuzzy digital resource boundary in multi value chain collaborative data space of manufacturing enterprises, based on semantic theory, the digital resource aggregation and recognition method of manufacturing enterprise multi value chain collaborative data space is studied. Firstly, the digital resource aggregation model of manufacturing enterprise multi value chain collaborative data space is constructed; Secondly, a method for calculating the domain correlation of multi value chain collaborative data space of manufacturing enterprises is proposed; Then, based on the concept degree distribution and D-S evidence theory, the trust function and likelihood function are introduced, and the node discovery method of manufacturing enterprise multi value chain collaborative data space semantic network is proposed, forming a systematic digital resource aggregation and identification method. Taking the data of a power equipment manufacturing enterprise as the sample for simulation, the results show that the constructed manufacturing enterprise multi value chain collaborative data space semantic network has close connection, clear semantics and clear system. The proposed method has good aggregation effect and high purity, and can provide effective support for digital resource aggregation, knowledge resource discovery, knowledge service and intelligent decision-making of intelligent factory.

Key words: manufacturing enterprise, multi-value chain, data resources, semantics, polymerization

CLC Number: