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中国管理科学 ›› 2023, Vol. 31 ›› Issue (11): 332-340.doi: 10.16381/j.cnki.issn1003-207x.2022.0287

• • 上一篇    

基于语义的制造企业多价值链协同数据空间数字资源聚合识别方法研究

韩洁平1,赵丹1(),杨晓龙1,顾美玲1,张焕粉2   

  1. 1.东北电力大学经济管理学院, 吉林 吉林 132012
    2.北京清畅电力技术股份有限公司, 北京 100085
  • 收稿日期:2022-02-17 修回日期:2022-05-29 出版日期:2023-11-15 发布日期:2023-12-05
  • 通讯作者: 赵丹 E-mail:1020848485@qq.com
  • 基金资助:
    国家重点研发计划资助项目(2020YFB1707804)

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:2023-12-05
  • Contact: Dan ZHAO E-mail:1020848485@qq.com

摘要:

为解决制造企业多价值链协同数据空间数据体量较大、数据价值密度低、数据对象粒度大、数字资源边界模糊带来的数字资源聚合识别问题,本文基于语义理论对制造企业多价值链协同数据空间的数字资源聚合识别方法进行研究。首先,构建了制造企业多价值链协同数据空间的数字资源聚合模型;其次,提出了制造企业多价值链协同数据空间领域相关度计算方法;再次,基于概念度分布、D-S证据理论,引入信任函数、似然函数,提出了制造企业多价值链协同数据空间语义网络节点发现方法,形成了系统的数字资源聚合识别方法。以某电力装备制造企业数据为样本进行仿真,结果表明,所构建的制造企业多价值链协同数据空间语义网络连接紧密、语义清晰、体系明确,所提出的方法聚合效果好、纯度较高,能够为智能工厂数字资源聚合、知识资源发现、知识服务、智能决策提供有效支撑。

关键词: 制造企业, 多价值链, 数字资源, 语义, 聚合

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

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