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Intelligent operation and maintenance for advanced equipment based on digital twin:Challenges and future
GAO Shigen, ZHOU Min, ZHENG Wei, ZHANG Linxuan, ZHANG Bin, SONG Haifeng, WU Xingtang, LI Ni, WANG Kunyu
Computer Integrated Manufacturing System
2022, 28 (7 ):
1953-1965.
DOI: 10.13196/j.cims.2022.07.003
The development of enabling technologies including big data,industrial Internet of things and artificial intelligence has promoted the deep integration of digital twins and high-end equipment operation and maintenance,which make the traditional regular-repair and failure-repair operation and maintenance mode upgrade to intelligent mode preventive-repair and state-repair,and has become a research hotspot in the field of intelligent operation and maintenance of high-end equipment.By fully using information such as mechanism models,real-time sensor data,historical data and expert knowledge and integrating modeling and simulation processes of multi-disciplinary,multi-variable,multi-level,multi-scale,multi-granularity and multi-probability,digital twin could accurately characterize data characteristics and perform efficient and accurate calculations,which achieved high-precision,high-reliability and high-credibility mapping and evolution of virtual and real space.It provided support for state assessment,fault warning and operation and maintenance decision-making of actual physical systems.The development status,key technologies and engineering applications of digital twin technology in high-end equipment intelligent operation and maintenance were reviewed,and the future challenges and difficulties were summarized.
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