Abstract: With the development of artificial intelligence(AI) and big data technologies, equipment management in refining and chemical enterprises is gradually moving towards intelligence and precision. Taking the preventive maintenance strategy of rotating equipment in refining and chemical enterprises as the main line,a DRBPM system relying on AI technology and dynamic reliability analysis technology is built. Through AI-driven multi-source data fusion, Weibull analysis, and machine learning algorithms, real-time monitoring of the status of pump and motor equipment, trend prediction and intelligent generation of maintenance plans are achieved. By leveraging AI to conduct comprehensive analysis on the criticality classification, reliability level, and alarm status of equipment, the reliability of equipment and management efficiency can be effectively enhanced. The research results show that the preventive maintenance strategy for rotating equipment in refining and chemical enterprises based on AI has a significant effect in improving the life cycle management level of equipment and reducing operation and maintenance costs, providing a useful reference for refining and chemical enterprises to promote digital transformation.

Key words: artificial intelligence, refining and chemical enterprises, rotating equipment, preventive maintenance strategy, DRBPM system