Mine Safety Early Warning and Monitoring Based on Big Data and Artificial Intelligence
To improve the safety management level of mines and ensure safe production,a mining safety warning and monitoring method based on big data and artificial intelligence is proposed.This method is based on the mining safety data obtained from the big data collection layer,and uses outlier data from the weighted deep forest mining data in the big data processing layer.After completing the dimensionality reduction of mining safety big data based on the Principal Component Analysis(PCA)method,the data is input into the Long Short Term Memory(LSTM)combination model in the big data analysis layer to predict the mining safety situation,And send security alerts through the big data visualization layer.The test results show that this method can complete mine safety warning and monitoring,and determine the sources of safety risks.
big dataartificial intelligencemine safetyearly warning and monitoring
NETL
NSTL
万方数据
