Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Frontiers in Engineering Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
