Research On The Threat Degree Of Gas Explosion Based On ANP-multistage Extension

The gas emissionfrom coal mining face will gradually change irregularly with the mining activities and other related changes in mine pressure and air leakage.It is easy for gas accumulation to occur and combustion or explosion will occur due to the generated flame or electric spark..In order to increase the level of prevention andthreat control of gas explosions in coal mining face,this paper studies the method and structure of the of gas explosion.Firstly,through the analysis of the risk factors thateffect the gas explosion,the elements of the gas explosion threat situation were extracted,and the index system of the threat assessment for gas explosion situation was constructed.Considering that there are internal cycles in the hierarchical structure of indicator elements,and the interdependence and feedback features,a basic model for studying the threat of gas explosion situation is constructed by using network analysis method(ANP).A simulation model of the threat of gas explosion is establishedin the Super Decision software,and the mixed weight of internal weight and external weight is obtained by synthetically analyzing the interactive and interdependent situation elements.Then,the sensitivity of 19 index factors in the model is analyzed in detail by using SD software,combined with the results of the mixed weights and sensitivity analysis to make a more comprehensive analysis of the importance of the elements,providing a certain amount for coal mine gas disaster management system.Secondly,the matter-element extension method is applied to the study of gas explosion situation in the working face,and proposing a multilevel extension comprehensive evaluation method to study.The originalmultilevel matter element extension method is improved.Based on this,a multilevel extension comprehensive evaluation model of the threat degree of gas explosion situation is established.Through the analysis of practical examples,the classical domain and section domain,of the threat degree of gas explosion situation in coal mining face and the correlation function between structural index and threat degree grade are established.Finally,considering the impact of the weight of each index elementto determine the threat grade of gas explosion in coal mines..Finally,a matter element extension model is established to predict the tendency of gas explosion near the mining face,aiming at the gas concentration in the upper corner angle of 12406 working face with high threat.The prediction model of gas concentration in the upper corner of 1406 work was established by radial function neural network(RBF).