摘要
Abstract
In mining operations,how to improve the level of mine safety management and effectively strengthen the personal safety protection of mining personnel is a key issue that mineral enterprises urgently need to solve.In the current development of various industries in China,advanced intelligent technologies represented by big data and artificial intelligence have been widely applied,making outstanding contributions to promoting the development of various industries.Given the positive effects of various advanced intelligent technologies in practical applications,this study will explore the construction of a mine safety warning and monitoring system under the collaborative application of big data and artificial intelligence based on the actual needs of mine safety management.The mining safety warning and monitoring system proposed in this study is based on the mining safety data obtained from the big data collection layer.It uses the weighted deep forest mining data in the big data processing layer to mine outlier data,achieves data dimensionality reduction through principal component analysis,and then inputs the reduced data into the LSTM mode to achieve real-time monitoring and safety risk warning of the mining operation safety process.关键词
大数据/人工智能/矿山安全管理Key words
big data/artificial intelligence/Mine safety management分类
矿山工程
