129 / 2023-06-23 14:12:44

Research on Fault Diagnosis Method of Mine Ventilation Network Based on random forest

Mine ventilation,random forest tree,ventilation network,fault analysis

        Mine intellectualization is the way to modernization of coal mine. Therefore, in order to quickly determine the fault location and fault amount after the resistance of coal mine ventilation system has changed greatly, this paper proposes a fault diagnosis method for coal mine ventilation network system based on random forest algorithm. A coal mine in Ordos with high modernization and good mining conditions was selected as the research object, and the ventilation volume q and ventilation resistance r spatial data of the mine were taken as the sample data of the random forest algorithm. A mathematical model for fault diagnosis based on the random forest algorithm was constructed, and the model was used to predict the fault location and fault volume of the coal mine ventilation network system, and then R2, MSE and other methods were cited to evaluate the model effect, The results show that the accuracy of the random forest algorithm is significantly improved compared with the decision tree algorithm, and the effectiveness, practicality and adaptability of the algorithm can meet the production needs of the coal mine.