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

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

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。

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 collabora‐tive 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 distribu‐tion 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 equip‐ment 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 sup‐port for digital resource aggregation,knowledge resource discovery,knowledge service and intelligent decisionmaking of intelligent factory.