Establishment and Application of Intrinsic Coal Workman Evaluation Model Based on Wavelet Neural Network
Mine is a complex and changeable workman-machineenvironment-management system. Using the workmanmachine-environment-management system theory and taking the coal workman as the research object, this paper discussed the cause for workman error and the accident mode caused by workman error on the basis of theoretic analysis of workman behavior. This paper 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 Nol mine in Shanxi by wavelet neural network, and proposed some corresponding approaches and methods for achieving intrinsic safety. This study can provide some decision advice to mine, it also have great help for reducing workmans unsafe behavior, avoiding the occurrence of accidents, and achieving mines sustainable development.
Gao Xiaoxu Dong Dingwen
School of Energy Engineering Xian University of Science and Technology Xian, China
国际会议
北京
英文
498-502
2011-09-23（万方平台首次上网日期，不代表论文的发表时间）