Abstract: As a key link in energy supply, the safety and stable operation of the petrochemical industry's facilities are of vital importance. In view of the deficiencies of traditional petrochemical plant damage identification accuracy, the timeliness of risk early warning and the scientific nature of decision-making, a digital intelligent management platform for petrochemical plant damage identification was established by using modern information technology and intelligent models. Its design architecture, functional interface, identification mechanism and description mode were analyzed, and then the actual application effect in enterprises was studied. The analysis results show that the platform architecture framework consists of four layers, namely,the display layer, business logic layer, data layer, and service support layer. This platform has achieved visual management of dynamic process factories, damage penetration management, standardized description of damage mechanisms and patterns, dynamic update of the knowledge base, and data-driven control throughout the entire life cycle of the equipment. The practical application effect shows that the application of this platform has improved the accuracy and timeliness of damage identification in petrochemical plants, achieved equipment damage prediction and intelligent early warning, and provided reference technology and intelligent management framework for the digital transformation of equipment management in the petrochemical industry.

Key words: petrochemical plant, damage identification, prediction and early warning, management platform