Establishment and Application of Intrinsic Coal-workman Evaluation Model based on Wavelet Neural Network

Mine is a complex and changeable workman-machine-environment-management system. Using the workman-machine -environment- management system theory and taking the coal workman as the research object, discussed the cause of workman error and the accident mode caused by workman error on the basis of workman behavior theoretic analysis. Studied the identification technique and control method of workman error, and established intrinsic workman evaluation index system, and then used fuzzy theory to construct membership functions for influencing factors, finally made simulation analysis of intrinsic coal-workman using the data from HuangLing No1 mine in ShannXi by wavelet neural network, and proposed some corresponding approaches and methods for realizing intrinsic safety. This study can provide some decision supports to mine, it also have a great help to reduce workman unsafe behavior, avoid the occurrence of accidents, and achieve mine's sustainable development.