Risk assessment of the mine environment information based on multi-sensor information fusion
In recent years Chinas frequent mine incidents, the scene of the accident left a lot of information and the remnants of environmental information, with mine difficult after coal mine accident dangerous environment of many characteristics, based on multi-sensor information fusion (MSF) of the coal mine environment Risk assessment of the new algorithm . Which adopts BP neural network algorithm and establishes model of coal mine environmental information risk of neural network model predicted the three-layer back propagation neural network, the neural network to connect the entire network structure is 5 x 12x5. The five input variables are the H2S (％). Temperature (X2), wind speed (m / s), methane (％), CO (％). The five output value is the level of security. The simulation experiments show that the model can accurately assess environmental risk coal mine the extent of the model and can verify the effectiveness and feasibility. The application result shows that the prediction with this method can achieve higher better utility and expensive value.
neural network fusion risk assessment multi-sensor information fusion
SONG Qiang WANGAi-min
Mechanical engineering department of Anyang institute of technology Anyang China School computer and information engineering of Anyang normal university Anyang. China
国际会议
重庆
英文
53-56
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）