基于SF 6质量浓度变化特征的煤矿火灾状态识别分析  

Identification and Analysis of Coal Mine Fire Status Based on Variation Characteristics of SF 6 Gas Mass Concentration

作　　者：孙吉平 SUN Jiping(Shuiyu Coal Industry Co.,Ltd.,Fenxi Mining Group,Shanxi Coking Coal Group,Lvliang 032302,China)

机构地区：[1]山西焦煤汾西矿业水峪煤业有限责任公司,山西吕梁032302

出　　处：《山西煤炭》2025年第1期42-49,共8页Shanxi Coal

摘　　要：为减少煤矿火灾引发的安全事故,提出了利用SF 6气体质量浓度变化特征识别煤矿火灾状态的方法。基于室内实验阐述了气体释放量、通风管道破裂位置和损坏程度3种情况下SF 6质量浓度的变化特征,并建立了示踪气体质量浓度数学模型。模型结合了期望最大化算法与高斯混合模型的优势,通过解析示踪气体质量浓度的空间变化曲线,实现对火灾位置的精确定位及严重程度的量化评估。试验结果表明,该方法能够有效识别煤矿火灾状态,精准定位评估火灾位置和严重程度,反映被困矿工的基本生存环境状况。研究成果对制定针对性强、效率高的消防救援策略具有重要意义。To reduce the safety accidents caused by coal mine fires,this paper proposes a method to identify the coal mine fire status using the variation characteristics of the SF 6 gas mass concentration.Based on indoor experiments,the variation of the SF 6 mass concentration under three conditions,gas release,rupture location of ventilation pipe,and damage degree,was elaborated,and a mathematical model of tracer gas mass concentration was established,which combined the advantages of the expectation maximization algorithm and the Gaussian mixture model and realized the precise location of the fire and the quantitative evaluation of the severity by analyzing the spatial variation curves of the tracer gas mass concentration.The experimental results showed that this method could effectively identify the coal mine fire status,accurately locate the fire,evaluate the severity,and reflect the basic survival environment of the trapped miners.The research results are significant for formulating targeted and efficient fire rescue strategies.

关 键 词：火灾 示踪气体 通风系统 识别 

分 类 号：TD75[矿业工程—矿井通风与安全]