Analysis Model of Gas Measurement Data Based on Monte Carlo Method

Aiming at the problems that gas measuring system of coal mine couldn’t collect gas data of all tunnels,gas data collected had some non-objectivity and gas history data couldn’t be analyzed and used sufficiently,the paper proposed an analysis model of gas measurement data based on Monte Carlo method.According to topology of coal ventilation network,the model generates upriver area of gas measurement point in each tunnel, and through analyzing history measurement data of measurment point from every (one’s) upriver area,it calculates historical rule of gas emission of each tunnel.Then it uses Monte Carlo method to do random sampling with large sample to the history rule of gas emission so that to get objective rule of gas emission.On the basis,it adopts whole system balancing algorithm and gets statistical rule of gas concentration of whole coal mine.The model provides a method first time which produces unknown(`quasi-history’) data according to known history data on aspect of data processing of gas.Actual application showed that it can get `quasi-history data’ of tunnels cohere there are no measurment points if the model is used to analyze coal gas history data,and rule of gas emission and rule of gas concentration are more objective.