Abstract: This paper proposes an AI-based process safety management system aiming at overcoming the limitations of traditional safety management in complex production environments. By analyzing the key elements of AI application in process safety management, the system constructs an integrated intelligent model which has enhanced the effectiveness and resilience of safety management. Incorporating the 20 core elements of the guidelines for chemical process safety management, the system outlines a development pathway to address current and future safety management challenges. This provides a novel solution for the modern safety management domain. The research findings indicate the potential for a transition towards intelligent public safety governance models, guiding the future development of safety production management.?

Key words: artificial intelligence, process safety, risk management, safety supervision, vulnerability