石油化工安全环保技术 ›› 2024, Vol. 40 ›› Issue (5): 12-16.

• 安全与环保管理 • 上一篇    

基于人工智能的过程安全管理体系研究

高明   

  1. 中海石油化学股份有限公司,海南 东方 572600
  • 收稿日期:2024-05-13 接受日期:2024-09-15 出版日期:2024-10-20 发布日期:2024-10-30
  • 作者简介:高明,男,2014 年毕业于海南大学工商管理专业,硕士,现从事企业管理及系统安全研究工作,高级工程师。E-mail:gaoming1@cnooc.com.cn

Research on Process Safety Supervision System Based on Artificial Intelligence

Gao Ming   

  1. CNOOC China BlueChemical Ltd., Dongfang,Hainan, 572600
  • Received:2024-05-13 Accepted:2024-09-15 Online:2024-10-20 Published:2024-10-30

摘要: 提出了一种基于人工智能的过程安全管理体系, 旨在突破传统安全管理在复杂生产环境中的局限。 该体系通过分析人工智能在过程安全管理中的应用要素, 构建集成化的智能模型, 增强了安全管理的效能和韧性。 结合化工过程安全管理导则的20 个核心要素, 该体系提出了建设路径, 以应对当前及未来的安全管理挑战, 为现代安全管理领域提供了新的解决方案。 研究结果预示着公共安全治理模式向智能化转型的可能性, 为安全生产管理的未来发展指明了方向。

关键词: 人工智能, 过程安全, 风险管理, 安全监管, 脆弱性

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