Research progress and prospect of intelligent prediction and disaster risk assessment of open-pit mining surface deformation
Research on the prediction and disaster risk assessment of surface deformation in open-pit mines serves to improve the accuracy of disaster warning and make safety control decisions. In recent years, the development of big data, cloud computing and artificial intelligence methods has provided techni...
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| Format: | Article |
| Language: | English |
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Emergency Management Press
2024-12-01
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| Series: | 矿业科学学报 |
| Subjects: | |
| Online Access: | http://kykxxb.cumtb.edu.cn/en/article/doi/10.19606/j.cnki.jmst.2024904 |
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| author | LI Hui ZHU Wancheng XU Xiaodong SONG Qingwei HAN Xiaofei GENG Huikai |
| author_facet | LI Hui ZHU Wancheng XU Xiaodong SONG Qingwei HAN Xiaofei GENG Huikai |
| author_sort | LI Hui |
| collection | DOAJ |
| description | Research on the prediction and disaster risk assessment of surface deformation in open-pit mines serves to improve the accuracy of disaster warning and make safety control decisions. In recent years, the development of big data, cloud computing and artificial intelligence methods has provided technical support for the intelligent transformation of traditional mines. This paper summarizes the research progress of surface deformation hazards in open-pit mines from three aspects: intelligent perception, intelligent prediction and disaster risk evaluation of surface deformation. Specifically, by reviewing the intelligent monitoring technologies of mine surface deformation, this study indicates that the choice of intelligent monitoring methods should factor in data accuracy, installation cost and post-processing speed, reviews the intelligent modeling methods of surface deformation prediction regarding the methodological combination of traditional deformation prediction and intelligent optimization, machine learning and deep learning, and summarizes the mechanism behind the typical risk assessment method of mine deformation hazards. Based on the current research progress, we discuss the existing research gap and prospects of intelligent prediction and disaster risk assessment of surface deformation in open-pit mines so as to offer reference to the intelligent upgrading of mine disaster prevention and control. |
| format | Article |
| id | doaj-art-f055c30598004adfb9959a3626a72fe8 |
| institution | Kabale University |
| issn | 2096-2193 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Emergency Management Press |
| record_format | Article |
| series | 矿业科学学报 |
| spelling | doaj-art-f055c30598004adfb9959a3626a72fe82025-01-14T08:46:55ZengEmergency Management Press矿业科学学报2096-21932024-12-019683784810.19606/j.cnki.jmst.2024904kykxxb-9-6-837Research progress and prospect of intelligent prediction and disaster risk assessment of open-pit mining surface deformationLI Hui0ZHU Wancheng1XU Xiaodong2SONG Qingwei3HAN Xiaofei4GENG Huikai5Center for Rock Instability and Seismicity Research, Northeastern University, Shenyang Liaoning 110819, ChinaCenter for Rock Instability and Seismicity Research, Northeastern University, Shenyang Liaoning 110819, ChinaCenter for Rock Instability and Seismicity Research, Northeastern University, Shenyang Liaoning 110819, ChinaCenter for Rock Instability and Seismicity Research, Northeastern University, Shenyang Liaoning 110819, ChinaCenter for Rock Instability and Seismicity Research, Northeastern University, Shenyang Liaoning 110819, ChinaCenter for Rock Instability and Seismicity Research, Northeastern University, Shenyang Liaoning 110819, ChinaResearch on the prediction and disaster risk assessment of surface deformation in open-pit mines serves to improve the accuracy of disaster warning and make safety control decisions. In recent years, the development of big data, cloud computing and artificial intelligence methods has provided technical support for the intelligent transformation of traditional mines. This paper summarizes the research progress of surface deformation hazards in open-pit mines from three aspects: intelligent perception, intelligent prediction and disaster risk evaluation of surface deformation. Specifically, by reviewing the intelligent monitoring technologies of mine surface deformation, this study indicates that the choice of intelligent monitoring methods should factor in data accuracy, installation cost and post-processing speed, reviews the intelligent modeling methods of surface deformation prediction regarding the methodological combination of traditional deformation prediction and intelligent optimization, machine learning and deep learning, and summarizes the mechanism behind the typical risk assessment method of mine deformation hazards. Based on the current research progress, we discuss the existing research gap and prospects of intelligent prediction and disaster risk assessment of surface deformation in open-pit mines so as to offer reference to the intelligent upgrading of mine disaster prevention and control.http://kykxxb.cumtb.edu.cn/en/article/doi/10.19606/j.cnki.jmst.2024904artificial intelligencemine disastersurface collapseslope landslidedeformation predictionrisk assessment |
| spellingShingle | LI Hui ZHU Wancheng XU Xiaodong SONG Qingwei HAN Xiaofei GENG Huikai Research progress and prospect of intelligent prediction and disaster risk assessment of open-pit mining surface deformation 矿业科学学报 artificial intelligence mine disaster surface collapse slope landslide deformation prediction risk assessment |
| title | Research progress and prospect of intelligent prediction and disaster risk assessment of open-pit mining surface deformation |
| title_full | Research progress and prospect of intelligent prediction and disaster risk assessment of open-pit mining surface deformation |
| title_fullStr | Research progress and prospect of intelligent prediction and disaster risk assessment of open-pit mining surface deformation |
| title_full_unstemmed | Research progress and prospect of intelligent prediction and disaster risk assessment of open-pit mining surface deformation |
| title_short | Research progress and prospect of intelligent prediction and disaster risk assessment of open-pit mining surface deformation |
| title_sort | research progress and prospect of intelligent prediction and disaster risk assessment of open pit mining surface deformation |
| topic | artificial intelligence mine disaster surface collapse slope landslide deformation prediction risk assessment |
| url | http://kykxxb.cumtb.edu.cn/en/article/doi/10.19606/j.cnki.jmst.2024904 |
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