Research on rock burst prediction and control technology based on big data analysis
This paper aims to improve the prediction accuracy and early warning ability of rock burst through big data analysis technology,and provide technical support and guarantee for coal mine safety production.By collecting and integrating a large number of multi-dimensional data such as coal mine geology,groundwater and ground stress,the prediction model of rock burst is built,and machine learning and deep learning algorithms are used for model training and optimization.The results show that the rock burst prediction model based on big data analysis can accurately predict the occurrence probability and influence degree of geological disasters,find the hidden danger of geological disasters in advance,and provide an important decision-making basis for mine safety management.
NETL
NSTL
万方数据
