数字孪生体可信度评估过程及指标研究

doi:10.16182/j.issn1004731x.joss.21-1043

系统仿真学报 ›› 2023, Vol. 35 ›› Issue (2): 350-358.doi: 10.16182/j.issn1004731x.joss.21-1043

数字孪生体可信度评估过程及指标研究

杨帆(), 马萍, 李伟(), 杨明

哈尔滨工业大学控制与仿真中心，黑龙江哈尔滨 150080

收稿日期:2021-10-13 修回日期:2022-01-27 出版日期:2023-02-28 发布日期:2023-02-16
通讯作者: 李伟 E-mail:m1223284230@163.com;fleehit@163.com
作者简介:杨帆(1995-)，女，博士生，研究方向为仿真可信度评估与模型验证。E-mail：m1223284230@163.com
基金资助:
国家重点研发计划(2018YFB1701600)

Research on Digital Twin Credibility Assessment Process and Index

Fan Yang(), Ping Ma, Wei Li(), Ming Yang

Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China

Received:2021-10-13 Revised:2022-01-27 Online:2023-02-28 Published:2023-02-16
Contact: Wei Li E-mail:m1223284230@163.com;fleehit@163.com

摘要/Abstract

摘要：

随着数字孪生技术应用领域的扩展，为满足数字孪生体可信度要求和推动数字孪生体可信度评估工作，对数字孪生体可信度评估过程和指标进行了研究。分析了数字孪生体的开发过程，给出了基于IDEF0(integrated computer aided manufacturing-definitionmethod)的柔性多层级数字孪生体可信度评估过程模型构建方法。提出了过程—阶段—活动层(P-S-A)和活动—元素—特性层(A-E-F)两类指标体系，分别辅助解决缺陷回溯问题和复杂对象评估问题，并给出了指标体系范例。

关键词: 数字孪生, 可信度评估, IDEF0, 过程模型, 指标体系

Abstract:

With the application field expansion of digital twin technology, in order to meet the requirement of digital twin credibility and promote the digital twin credibility assessment, the credibility assessment process and indicators of digital twin are researched. The development process of digital twin is analyzed and the construction method of flexible multi-layer digital twin credibility assessment process model based on IDEF0 is proposed. Two index systems, process-stage-activity layers(P-S-A) and activity-element-feature layers(A-E-F),are proposed to solve the problems of defect backtracking and evaluation of complex objects. Several examples of index system are given.

Key words: digital twin, credibility assessment, integrated computer aided manufacturing-definition method (IDEF0), process model, index system

中图分类号:

TP391.9

杨帆, 马萍, 李伟, 杨明. 数字孪生体可信度评估过程及指标研究[J]. 系统仿真学报, 2023, 35(2): 350-358.

Fan Yang, Ping Ma, Wei Li, Ming Yang. Research on Digital Twin Credibility Assessment Process and Index[J]. Journal of System Simulation, 2023, 35(2): 350-358.

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数字孪生体可信度评估过程及指标研究

Research on Digital Twin Credibility Assessment Process and Index

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