Risk Assessment of the Mine Environment Information Based on Multi-Sensor Information Fusion

In recent years China's 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 threelayer back propagation neural network, the neural network to connect the entire network structure is 5 × 12 × 5, the five input variables are the H2S (%), temperature (°C), 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.