基于数字孪生的高端装备智能运维研究现状与展望

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.