Intelligent Dust Reduction System for Excavation Face Based on Machine Learning
Aiming at the dust problem of heading face,an intelligent dust reduction system based on machine learning is designed.The system monitors the flow and dust concentration of each device in the working face by deploying GKT5LX(A)type mine equipment on-off sensor,GLR mine intrinsically safe flow switch sensor,CCZ1000 automatic dust measuring instrument sensor network,and uses machine learning algorithm to analyze the data,predict dust diffusion and optimize dust reduction strategy.The system uses the random forest algorithm to adaptively adjust the working parameters of the spray device to achieve accu-rate dust reduction.In the application test of Dongtan Coal Mine,the dust concentration in the optimal state of the system is reduced by 81.24%,which greatly improves the working environment.
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