Multi-Sensor Data Fusion in Coal Mine Safety Supervision

This paper applies the fuzzy closeness degree and RBF neural network in the coal mine safety supervision to fuse the environment feature data in the local district. The fusion result can evaluate the safety status of the coal mine production. To improve the precision of data fusion, this paper adjusts the RBF neural network parameters with hierarchy genetic algorithm. The research result shows that using the method proposed in this paper can converge faster with a higher precision, comparing to the traditional method.