特种变压器生产车间数字孪生系统构建方法  

Development of a digital twin system in a special transformer production workshop

作　　者：王大江[1] 张学东 孙文磊[1] 姜任奔 路程 岳媛 WANG Dajiang;ZHANG Xuedong;SUN Wenlei;JIANG Renben;LU Cheng;YUE Yuan(School of Intelligent Manufacturing and Modern Industry,Xinjiang University,Urumqi 830017,China;Tebian Electric Apparatus Stock Co.Ltd.,Changji 831100,China)

机构地区：[1]新疆大学智能制造现代产业学院,乌鲁木齐830017 [2]特变电工股份有限公司,昌吉831100

出　　处：《工程科学学报》2023年第11期1948-1961,共14页Chinese Journal of Engineering

基　　金：工业互联网标识解析全要素集成平台项目(TC210A02E)。

摘　　要：为解决特种变压器生产车间实时化管控弱、调度决策能力差、过程监控不直观、运行态势不明朗的问题,从特种变压器车间的数字孪生建模、知识信息融合、运行可靠性分析和可视化表达等方面入手,探讨了一种特种变压器车间数字孪生系统的新型体系架构;阐述了基于“5维度-4视角”模型、高性能算力孪生引擎及沉浸式可视化技术的数字孪生建模表达方法;研究了数字孪生车间指标体系的构建方法以及车间知识信息与数字孪生的融合方法;基于层次分析理论和关联熵方法,构建了一种基于复合物元信息熵的车间数字孪生系统可靠性分析模型;最后,以某特种变压器生产车间为应用案例,基于上述方法和模型,结合实际生产过程开发了原型数字孪生系统,实现了特种变压器车间的多维多尺度实时智能管控,验证了该方法的合理性和有效性.To address the weak real-time control,poor decision-making ability,nonintuitive process monitoring,and unclear operation situation problems in a special transformer production workshop,a new digital twin system architecture is discussed for the workshop,focusing on digital twin modeling,knowledge information fusion,operation reliability analysis,and visual representation.The modeling and expression of the digital twin were based on the“Five dimensions–Four perspectives”engine,where the“Five dimen-sions”refer to physical entities,virtual objects,twin data,connection mapping,and services and the“Four perspectives”refer to geometric,physical,behavioral,and rule models,with high-performance computing power and immersive visualization technology.This paper describes the method of 3D modeling,data mapping,computing power development,and visual expression for the digital twin.A deep fusion method between knowledge and digital twin was studied based on the principle of tree growth.This model includes two key parts.First,a design of the index system having a hierarchical structure based on the principle of tree growth was proposed.Indices were divided into four levels—workshop,production line,station,and equipment levels—based on the workshop scale,vertically constituting the main branches of the index tree model.From the perspective of the life cycle of production activities,indices were divided into planning parameters,process parameters,work order parameters,quality parameters,equipment parameters,and so on.Thus,a complete index system of the digital twin workshop was established.Furthermore,the photosynthesis and the transport of organic products in the tree were simulated by formally describing the deep fusion mechanism of knowledge and digital twin in transformer workshops,and diverse intelligent computing units were built to mine knowledge and identify information from disorganized workshop operation big data.Finally,a multilevel and complex model was constructed to integrate the knowledge and dig

关 键 词：数字孪生 特种变压器 构建方法 数字化车间 知识信息融合 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]