基于免疫机理的煤矿瓦斯爆炸事故预警
Early Warning of Coal Mine Gas Explosion Accident Based on Immune Mechanism

为预防煤矿瓦斯爆炸事故，从生物免疫角度出发，提出一种煤矿瓦斯爆炸预警方法。首先，探究煤矿瓦斯爆炸预警系统与生物免疫机理之间的相似性，并分析其耦合机制，从瓦斯积聚、火源、管理三个方面对煤矿瓦斯爆炸进行定性分析；其次，通过对煤矿瓦斯爆炸影响因素的分析，确定瓦斯爆炸指标，运用层次分析法和生物免疫机理构建煤矿瓦斯爆炸Ag-Ab预警模型，建立成对比较矩阵，采用1-9的标度进行赋值；最后，计算该成对比较矩阵的特征向量并进行归一化，确定各煤矿瓦斯爆炸因素的权重和各指标体系的排序，识别影响煤矿瓦斯爆炸的关键风险因素。研究结果表明：在Ag要素层中，AgI (瓦斯异常涌出)、AgV (静电起火)和AgIX (明火)是影响较大的指标，占Ag准则层的16.67%，Ag指标层中Ag5 (瓦斯突出)和Ag39 (煤炭自燃)比重较大，瓦斯突出和煤炭自燃要素层中两者占比都为37.49%，占总权重的7.49%，AbI (安全管理规定)影响较大，占Ab准则层的37.50%，Ab指标层中Ab1 (瓦斯检测不及时)是影响较大的因素，占安全管理规定因素的38.04%，占Ab总权重的14.26%。通过各因素权重分析，对这些因素进行管理和控制，是防止瓦斯爆炸事故的重要措施。该预警方法可为决策者有效管理煤矿瓦斯爆炸风险提供技术指导。
To prevent coal mine gas explosion accidents, a coal mine gas explosion warning method is proposed from the perspective of biological immunity. Firstly, explore the similarity between the coal mine gas explosion warning system and the biological immune mechanism, and analyze their coupling mechanism. Qualitative analysis of coal mine gas explosions is conducted from three aspects: gas accumulation, fire source, and management; Secondly, by analyzing the influencing factors of coal mine gas explosions, gas explosion indicators are determined. The Analytic Hierarchy Process and biological immune mechanism are used to construct an Ag-Ab warning model for coal mine gas explosions. A paired comparison matrix is established, and values are assigned using a 1-9 scale; Finally, calculate the eigenvectors of the paired comparison matrix and normalize them to determine the weights of each coal mine gas explosion factor and the ranking of each indicator system, and identify the key risk factors affecting coal mine gas explosion. The research results show that in the Ag element layer, AgI (abnormal gas outburst), AgV (electrostatic ignition), and AgIX (open flame) are the most influential indicators, accounting for 16.67% of the Ag criterion layer. In the Ag index layer, Ag5 (gas outburst) and Ag39 (coal spontaneous combustion) have a relatively large proportion. In the gas outburst and coal spontaneous combustion element layers, both account for 37.49%, accounting for 7.49% of the total weight. AbI (safety management regulations) has a significant impact, accounting for 37.50% of the Ab criterion layer. In the Ab index layer, Ab1 (untimely gas detection) is the most influential factor, accounting for 38.50% of the safety management regulations. 04%, accounting for 14.26% of the total weight of Ab. Managing and controlling these factors through weight analysis is an important measure to prevent gas explosion accidents. This warning method can provide technical guidance for decision-makers to effectively manage the