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基于异常检测的烟草企业智能安全响应系统研究

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文章针对烟草企业面临的安全风险管理问题,全面分析生产过程中的风险类型,并基于异常检测技术构建智能安全预警系统框架.为进一步引入大语言模型技术,探索其在安全响应策略生成中的应用,提出一套策略生成方法,以提高策略生成的效率和质量.文章还探讨综合安全策略的制订,强调技术、组织及文化3个层面的结合,以构建全面的安全管理体系.最后,文章指出实际应用中的挑战,并对未来研究方向提出建议,旨在为烟草企业智能安全预警与响应策略的实施提供理论支持和实践指导.
Research on Intelligent Safety Response System of Tobacco Enterprise Based on Anomaly Detection
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.

intelligent warningemergency responsesafety managementinternet of thingsdigital transformation

尤丽珍、王彦凯、林宏

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福建省烟草公司宁德市公司,福建 宁德 352100

智能预警 应急响应 安全管理 物联网 数字化转型

2024

今日自动化

今日自动化

ISSN:
年,卷(期):2024.(11)