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化学与化工研究

Journal of Chemistry and Chemical Research

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Journal of Chemistry and Chemical Research. 2025; 5: (1) ; 10.12208/j.jccr.20250010 .

Optimization of leakage detection and emergency response mechanism in chemical engineering safety
化工安全工程中的泄漏检测与应急响应机制优化

作者: 王莉华 *

四川宽窄实业有限责任公司 四川绵阳

*通讯作者: 王莉华,单位:四川宽窄实业有限责任公司 四川绵阳;

引用本文: 王莉华 化工安全工程中的泄漏检测与应急响应机制优化[J]. 化学与化工研究, 2025; 5: (1) : 41-43.
Published: 2025/6/12 11:25:00

摘要

化工生产过程中,泄漏事故不仅可能导致严重的环境污染和经济损失,还可能对人员安全构成严重威胁。优化泄漏检测与应急响应机制对于提升化工安全工程至关重要。本文主要探讨了在化工行业中如何通过改进泄漏检测技术、完善应急响应策略来提高安全性,并减少潜在的危害。首先分析了现有泄漏检测方法的局限性,接着讨论了新兴技术的应用前景,如物联网、大数据等在泄漏检测中的潜力。提出了针对不同泄漏情景制定具体应急响应措施的重要性,并强调了跨部门协作与公众教育在应急响应中的关键作用。综合运用现代科技手段并结合有效的应急管理策略,可以显著提高化工行业的安全水平。

关键词: 化工安全;泄漏检测;应急响应;物联网;大数据

Abstract

In the process of chemical production, leakage accidents may not only lead to serious environmental pollution and economic losses, but also pose a serious threat to the safety of personnel. Therefore, optimizing the leakage detection and emergency response mechanism is crucial for improving chemical engineering safety. This paper mainly explores how to improve safety and reduce potential hazards in the chemical industry by improving leakage detection technology and perfecting emergency response strategies. Firstly, the limitations of existing leakage detection methods are analyzed, and then the application prospects of emerging technologies, such as the potential of the Internet of Things (IoT), big data, etc. in leakage detection, are discussed. The importance of formulating specific emergency response measures for different leakage scenarios is put forward, and the key roles of cross-departmental collaboration and public education in emergency response are emphasized. The research shows that the comprehensive application of modern scientific and technological means combined with effective emergency management strategies can significantly improve the safety level of the chemical industry.

Key words: Chemical engineering safety; Leakage detection; emergency response; Internet of Things (IoT); Big data

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