Guilin Li1,2, Qinzheng Wu1,2
1Deep Mining Laboratory of Shandong Gold Group Co., Ltd., Yantai 261442, China
2Shandong Key Laboratory of Deep-Sea and Deep-Earth Metallic Mineral Intelligent Mining, Yantai 261442, China
With the continuous development of deep mining, mining environment is getting worse, and the risk of ground pressure rockburst caused by deep high stress is becoming increasingly prominent. In order to rationally develop deep resources and effectively prevent and control safety risks, a real-time monitoring and early warning model of deep mining based on big data analysis is put forward, and a data platform model of ground pressure disaster risk control that connects, analyzes, makes decisions, dynamically predicts and synergistically controls is established, so as to realize the intelligent perception and early warning of ground pressure disaster information and help safe and efficient exploitation of deep resources.
Big data, Deep mining, Ground pressure monitoring, Risk analysis, Disaster warning
Guilin Li, Qinzheng Wu. Research on Monitoring Processing and Early Warning Model Based on Big Data Analysis. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 10: 9-13. https://doi.org/10.25236/IJFET.2022.041002.
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