Research status and prospect of intelligent operation and maintenance of high-end equipment based on digital twin

Abstract

The development of enabling technologies such as big data, industrial Internet of Things, and artificial intelligence has promoted the deep integration of digital twins and high-end equipment operation and maintenance, making the traditional "regular repair" and "failure repair" operation and maintenance mode to "preventive repair". The upgrade of the intelligent operation and maintenance mode of "Condition Repair" has become a research hotspot in the field of intelligent operation and maintenance of high-end equipment. The digital twin makes full use of information such as mechanism models, real-time sensor data, historical data, and expert knowledge, and integrates multi-disciplinary, multi-variable, multi-level, multi-scale, multi-granularity, and multi-probability modeling and simulation processes to accurately characterize data characteristics and perform Efficient and accurate calculation analysis realizes high-precision, high-reliability, and high-credibility mapping and evolution of virtual and real space, and provides 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 the field of high-end equipment intelligent operation and maintenance are reviewed, and the future challenges and difficulties are summarized and prospected.