流程生产安全多模态分析与管控架构研究  

esearch on safety multimodality analysis and management architecture for the process production

作　　者：师玉栋 赵挺生[1] 张伟[1] 李小青[1] 薛楠楠 SHI Yudong;ZHAO Tingsheng;ZHANG We;i LI Xiaoqing;XUE Nannan(School of Civil and Hydraulic Engineering,Huazhong University of Science and Technology,Wuhan Hubei 430074,China)

机构地区：[1]华中科技大学土木与水利工程学院,湖北武汉430074

出　　处：《工业安全与环保》2024年第8期1-7,共7页Industrial Safety and Environmental Protection

基　　金：国家重点研发计划项目(2021YFB3301100)。

摘　　要：为保障流程生产作业安全,对安全风险进行系统化和结构化的监测和管控。首先探讨安全模态的概念和基本要素,分析模态与参数的关系,建立安全模态的识别过程;然后划分钢铁生产安全管控的4个层级,建立钢铁流程生产安全多模态多层级管控架构;最后结合典型事故案例,分析结晶器安全模态和风险参数,设计参数化监测方案,并提出安全多模态表征与评价模型,通过分析试验数据得到结晶器的安全状态评价结果。结果表明本研究可以较好地评价作业设备的安全状态,优化工序层安全决策,有利于提升流程生产安全管控的数智化水平。In order to ensure the safety of process production operations,it is necessary to carry out systematic and structural monitoring and control of safety risks.This study firstly discusses the concept of modality and its basic ele ments,and the recognizing procedures of safety modality are established based on the relationship analysis between safety modality and risk parameters.A multimodal and multi-layer safety management framework for steel process production is built by dividing four levels.With the typical accident cases,the safety multimodality and risk parameters of the crystallizer are analyzed finally.The parametric monitoring scheme is designed and a multimodal representation and evaluation model is put forward.We gained the evaluation results of the crystallizer's safety status by analyzing the experimental data.The results show that this study can better evaluate the safety status of the operating equipment and optimize safety decision-making at procedure-layer,which is conducive to improving the digital-intelligent level of safety management in the process production.

关 键 词：安全模态 风险参数 流程行业 多层级 参数化监测 

分 类 号：X92[环境科学与工程—安全科学]