Study On Gas Disaster Evaluation Method Of Coal Mine Based On Data Fusion

Gas disasters are the main threat to coal production safety.Although coal gas is continuously monitored during the coal production process,initially it is only determined whether the gas concentration monitoring data exceeds the standard to determine whether the production is safe,with high uncertainty and great impact on production safety.Therefore,the study uses multiple locations and long-term gas monitoring data to establish a model of coal mine safety production status,and effective analysis of coal mine production safety status is of great significance to coal mine safety production.This paper analyzes the causes of coal mine gas disasters,based on the existing time series prediction algorithm and based on the concept of data fusion,aiming at the deficiencies in the gas disasters prevention and control system,the gas monitoring data of the working face of Shendong Shangwan mining area as the sample,by building a prediction model and using a mathematical model method to determine the safety level of the coal mine area,the safety status index of each area of the coal mine working face is obtained.First,perform statistical analysis and data preprocessing on the original data source to obtain a more complete,accurate and stable time series that is close to the measured data;secondly,on the basis of three existing time series models,the law of gas emission from coal face is realized Forecast model researeh,forecast gas data trend,use data measured and the root mean square error and average absolute error indicators reached 0.007%and 0.009%respectively;on this basis,propose a gas disaster prediction model based on multi-parameters,and perfect the use of single sensor data The problem that the prediction results are not accurate enough,the maximum relative error,the minimum relative error,and the average relative error are respectively 3.35%,1.7%,and 2.55%.Finally,the weight index of each safety production factor is evaluated and calculated,and the construction and improvement of the disaster gas concentration prediction model based on multi-parameter correlation is proposed,and the coal mine gas disaster evaluation system is established from the four aspects of personnel,machinery,environment and management.