摘要
针对精细化工生产过程中存在的安全风险进行了深入探讨。鉴于该行业涉及复杂的化学反应和高风险操作,首先对安全风险进行了全面识别,并采用HAZOP、FMEA和FTA等评估方法进行了系统性评估。为了进一步提升评估的精确性和效率,提出了利用定量风险评估模型、高级仿真模拟技术、实时监测与动态评估,以及云计算和大数据技术的优化策略。这些策略不仅增强了风险预测的准确性,还实现了风险管理的实时性和动态性。旨在为精细化工行业提供科学的安全管理指导,从而降低事故风险,确保生产的持续安全,并推动行业的稳健发展。
In this study,the safety risks existing in the process of fine chemical production were deeply discussed.Given that the industry involves complex chemical reactions and high-risk operations,this paper begins with a comprehensive identification of safety risks and a systematic assessment using assessment methods such as HAZOP,FMEA,and FTA.In order to further improve the accuracy and efficiency of the assessment,this paper proposes optimization strategies using quantitative risk assessment models,advanced simulation techniques,real-time monitoring and dynamic assessment,as well as cloud computing and big data technologies.These strategies not only enhance the accuracy of risk prediction,but also realize the real-time and dynamic nature of risk management.This paper aims to provide scientific safety management guidance for the fine chemical industry,so as to reduce the risk of accidents,ensure the continuous safety of production,and promote the steady development of the industry.
出处
《化工设计通讯》
CAS
2024年第8期160-162,共3页
Chemical Engineering Design Communications
关键词
精细化工
安全风险
评估方法
定量风险评估
安全管理指导
fine chemical industry
security risk
evaluation methods
quantitative risk assessment
safety management guidance
