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ÖÐͼ·ÖÀàºÅ£ºTL38+7 ÎÄÏ×±êÖ¾Â룺A doi£º10.3969/j.issn.1006-0316.2023.04.001

ÎÄÕ±àºÅ£º1006-0316 (2023) 04-0001-08

Solution of Full-Life-Cycle Intelligent Maintenance of Nuclear Reactor System Based on Big Data

WAN Hao£¬WANG Bingyan£¬CHEN Xiangyu£¬YIN Qi£¬PU Yaozhou£¬LI Hao

( Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu 610041, China )

Abstract£ºNuclear reactor refueling maintenance takes a long time at present. It is mostly based on experience, which causes problems such as inaccurate identification of defects, scattered data, and poor traceability, and it is greatly affected by subjective factors. With the development of new generation technologies, such as big data and artificial intelligence,  the quality and efficiency of maintenance can be effectively improved. This paper described and analyzed the research status of reactor system maintenance and the progress of industrial maintenance technology. The solution of full-life-cycle intelligent maintenance of reactor system based on big data was put forward, and the key technologies, such as data standardization, database construction, maintenance progress management, and intelligent maintenance scheme, were studied. Taking the thread maintenance of the main bolt as an example, a data mining and intelligent decision support technology roadmap were proposed to improve the serviceability of the maintenance process, and to ensure the safety and reliability of the nuclear reactor in service. Finally, some suggestions were put forward for the promotion of intelligent maintenance in reactor system.

Key words£ºintelligent maintenance£»big data£»full-life-cycle£»decision support£»nuclear reactor refueling

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