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Coal mine production logistics system security prediction based on RS-WNN1

Zhang Bo, Zhai Xueqi, Wang Jinfeng, Feng Lijie

Coal mine production logistics system security state prediction is an important content of coalmine accident prevention and control. The paper proposed a predictionmodel of the coalmine production safety state based on rough set and wavelet neural network, The model usingRS to determine the impact of the main influencing factors and then predict the safety status based on WNN. The empirical results show that the model in coal mine production logistics system security state prediction has high accuracy,which can help strengthen the prediction of coal mine safety state, enhancing the level of security