Abstract: With the rapid development of technologies such as big data, artificial intelligence, and cloud computing, China's refining industry is accelerating its transformation towards digitalization and intelligence. Traditional equipment management models are gradually unable to meet the needs of current refining enterprise development. This paper summarizes the research progress in the full lifecycle management of equipment at home and abroad. Based on the characteristics of the refining industry, the equipment lifecycle is divided into four stages: congenital, early, mid-term, and late stages. The management focus of each stage is analyzed, and an intelligent management plan for the full lifecycle of equipment is proposed. This provides new ideas for promoting intelligent management of the full lifecycle of equipment.

Key words: refining industry, intelligence, mechanical equipment, full lifecycle management