基于网络节点-TIC的数字孪生机床数据可信度评估方法研究

Research on the credibility assessment method of digital twin machine tool data based on network node-TIC

  • 摘要: 新质生产力以其高科技、高效能和高质量等主要特征,获得广泛关注。其中大力发展数字经济,促进数实交融,是新质生产力的重点。而数据要素作为第五大生产要素以及实现制造业数字化智能化的基础,正在不断探索进步。提出一种数字孪生机床数据可信度评估方法,通过仿真系统构建数据交互网络节点图,以数据传输频率、数据吞吐量、数据延迟和数据重要程度为基础计算各系统间数据交互权重,使用Theil 不等式系数(Theil’s inequality coefficient, TIC)方法计算数据可信度,计算二者结合后的可信度阈值与单一TIC方法计算的可信度阈值,并验证该方法的有效性。

     

    Abstract: New quality productivity has gained wide attention for its main features such as, high technology, high efficiency and high quality. Among them, vigorously developing the digital economy and promoting the integration of digital and real are the focuses of new quality productivity. And the data element is constantly exploring progress as the fifth production factor as well as the basis for realizing the digital intelligence of the manufacturing industry. A method of data reliability evaluation of digital twin machine tools is proposed. The node diagram of data interaction network is constructed by simulation system, and the weight of data interaction between systems is calculated based on data transmission frequency, data throughput, data delay and data importance. Theil's inequality coefficient (TIC) method was used to calculate the reliability of data, and the combined reliability threshold and the reliability threshold calculated by a single TIC method were calculated, and the validity of this method was verified..

     

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