This article focuses on the safety risk management issues faced by tobacco companies,comprehensively analyzes the types of risks in the production process,and constructs an intelligent safety warning system framework based on anomaly detection technology.To further introduce the big language model technology and explore its application in the generation of security response policies,a set of policy generation methods is proposed to improve the efficiency and quality of policy generation.This article also explores the development of comprehensive security strategies,emphasizing the integration of technology,organization,and culture to build a comprehensive security management system.Finally,this article points out the challenges in practical applications and provides suggestions for future research directions,aiming to provide theoretical support and practical guidance for the implementation of intelligent safety warning and response strategies in tobacco enterprises.
关键词
智能预警/应急响应/安全管理/物联网/数字化转型
Key words
intelligent warning/emergency response/safety management/internet of things/digital transformation
维普
万方数据