摘要
文章基于双重预防机制,系统分析了化工生产中多源异构风险的识别技术,重点探讨了风险分级管控、隐患排查、智能监测及数据驱动评估方法,提出了融合AI与物联网的精准实时识别路径。旨在构建多维度协同识别体系,为化工行业风险防控智能化提供技术支撑。
Based on the dual prevention mechanism,this paper systematically analyzes the identification technology of multi-source heterogeneous risks in chemical production,focuses on risk hierarchical management and control,hidden danger investigation,intelligent monitoring and data-driven evaluation methods,and proposes an accurate real-time identification path integrating AI and the Internet of Things.It aims to build a multi-dimensional collaborative identification system to provide technical support for the intelligent risk prevention and control of the chemical industry.
作者
杨鹏
YANG Peng(Jining Chemical Design Institute Co.,Ltd.,Jining 272073,China)
出处
《化工管理》
2025年第11期129-132,共4页
Chemical Management
关键词
化工生产
风险识别
双重预防机制
智能化监测
chemical production
risk identification
dual prevention mechanism
intelligent monitoring
作者简介
杨鹏(1982-),男,汉族,山东青州人,中级职称,本科,学士学位,就职于济宁市化工设计院有限责任公司,研究方向为化学安全,email:61165671@qq.com。
