Study on Surface Subsidence Regularity of Block Caving Mining Method Based on UAV Aerial Survey
Received date: 2024-03-25
Revised date: 2024-05-13
Online published: 2024-08-27
The block caving method is known to result in a specific range of surface subsidence，which is a major safety risk in mining operations.UAV aerial survey technology offers numerous advantages，including enhanced safety，simple operation process and high precision in monitoring large and complex surface areas. Therefore，this study concentrates on the largest block caving mine in China，employing UAV aerial survey techniques to remotely monitor surface subsidence caused by block caving mining methods.The development of UAV aerial survey technology has led to the proposal of a 3D modeling method for surface subsidence based on UAV aerial survey.An accuracy analysis method for the 3D modeling process was also presented.By cons-tructing 3D models，analyzing the extent of surface subsidence affected areas，examining profile data of subsidence affected areas，and conducting theoretical analysis，this study investigates changes in the subsidence area of the mine from March 2022 to March 2023. Based on an analysis of the subsidence range and orebody profile within the vein，as well as predictions of surface subsidence using the probability integral method （PIM），it can be inferred that the extent of active subsidence is influenced by the distribution of active drawpoints. Furthermore，by utilizing PIM to forecast subsidence values，a comparison between the calculated and actual subsidence amounts at the Pulang copper mine，the maximum error is less than 0.18 m. The prediction of surface subsidence patterns in this mine can be achieved through the application of the probability integral method，which is grounded in the principles of stochastic medium theory. Utilizing the PIM allows for the anticipation of surface subsidence regularity，thereby facilitating effective surface treatment and mitigation of debris flow within the mine. By integrating 3D modeling with surface subsidence patterns，various recommendations can be formulated for the management of subsidence pits and the development of a drawing plan for the mine.
Shiwen WANG , Sheng WANG , Weijia LING , Zhonghua ZHU , Xinyuan YANG , Wenzhong SHA , Jiahong YANG . Study on Surface Subsidence Regularity of Block Caving Mining Method Based on UAV Aerial Survey[J]. Gold Science and Technology, 2024 , 32(4) : 654 -665 . DOI: 10.11872/j.issn.1005-2518.2024.04.080
| null | Bian H F， Zhang S B， Zhang Q Z，et al，2014.Monitoring large-area mining subsidence by GNSS based on IGS stations［J］.Transactions of Nonferrous Metals Society of China，24（2）：514-519. |
| null | Cao Yong，2023.Study on the Influence Mechanism and Prevention Measures of Stress Concentration on Surrounding Rock Stability in Block Caving Undercutting［D］.Beijing：University of Science and Technology Beijing. |
| null | Chen Y， Yu S， Tao Q，et al，2021.Accuracy verification and correction of D-InSAR and SBAS-InSAR in monitoring mining surface subsidence［J］.Remote Sensing，13（21）：4365. |
| null | Coates D F，1981.Rock Mechanics Principles［M］.Ottawa：Energy，Mines，and Resources Canada. |
| null | Deng Bo， Zhang Hui， Bai Jun，et al，2022.Hazard evaluation of the slope in Shenzhen based on airborne LiDAR data［J］.Geomatics and Information Science of Wuhan University，49（8）：1377-1391. |
| null | Li Hanbing， Liu Ning， Wang Pan，et al，2022.Influence of landmarks on the foundation pit monitoring by digital close-range photogrammetry［J］.Journal of Hefei University of Technology（Natural Science Edition），45（8）：1066-1071. |
| null | Li Tao，2017.Application and accuracy analysis of Sirius UAV aerial photography system in complex topographic survey［J］.Bulletin of Surveying and Mapping，（12）：146-148，152. |
| null | Lin Fang， Feng Xiaojiu，2023.Study on surface displacement law of a mine in Jining based on probability integral method［J］.Metal Mine，52（11）：198-204. |
| null | National Administration of Surveying，Mapping and Geoinformation，2013. Specifications for the digital products of three-dimensional model on geographic information： ［S］.Beijing：National Administration of Surveying，Mapping and Geographic Information. |
| null | Quan Bin， Liu Eryang，2010.The application of pyramid image structure in image match［J］.Bulletin of Surveying and Mapping，396（3）：10-12，34. |
| null | Quan Changwen， Li Zhenghong， Pang Baining，et al，2023.Application of UAV image matching point cloud in the monitoring of illegal land and illegal construction［J］.Bulletin of Surveying and Mapping，（4）：111-114. |
| null | Shen Nanshan， Gu Xiaochun， Yin Shenghua，2009.Present situation of block caving mining technology at home and abroad［J］.Mining Technology，9（4）：1-4. |
| null | Song Xugen， Liu Xiumin， Chen Congxin，et al，2018.Study on mechanism of surface collapse and ground deformation in western mined area of Chengchao iron mine［J］.Chinese Journal of Rock Mechanics and Engineering，37（Supp.2）：4262-4273. |
| null | Tang Yemao， Zeng Xiaowen，2010.Discussion on the application of block caving mining method［J］.Nonferrous Metals（Mining Section），62（3）：9-11. |
| null | Woo K S， Eberhardt E， Elmo D，et al，2013.Empirical investigation and characterization of surface subsidence related to block cave mining［J］.International Journal of Rock Mechanics and Mining Sciences，61：31-42. |
| null | Wu Fei， Huang Yinghua， Hu Jingyun，2023.Research and practice of high and steep slope deformation measurement accuracy based on measuring robot［J］.Mining Research and Development，43（2）：149-156. |
| null | Xiao Wei， Yang Songlin， Han Xingjin，et al，2023.Research on refraction correction of automatic dam deformation by measuring monitoring with robotic total station［J］.Water Resources and Power，41（4）：110-113. |
| null | Yang Xiaoyu，2016.Application of measuring robot in surface dynamic deformation monitoring of mining［J］.Safety in Coal Mine，47（5）：137-140. |
| null | Yu Xueyi， Zhang Enqiang，2010.Mining Damage［M］.Beijing：Coal Industry Press. |
| null | Zha Jianfeng， Zhu Pengcheng， Wu Dejun，et al，2023.UAV aerial triangulation：Point error distributions and the influencing mechanisms of ground control points on its accuracy［J］.Coal Geology and Exploration，51（7）：151-161. |
| null | Zhang Chunsen， Zhu Shihuan，ZangYufu，et al，2017.GPS-supported bundle adjustment method of UAV by considering exposure delay［J］.Acta Geodaetica et Cartographica Sinica，46（5）：565-572. |
| null | Zhang Wenlong， Zhang Tongkang， Zhang Fan，et al，2022.Identification of ground subsidence in goaf of Hancheng mining area based on PS-InSAR and DS-InSAR［J］.Safety in Coal Mines，53（8）：194-199. |
| null | Zhang Yahong，2023.3D urban modeling technology based on oblique image and airborne LiDAR［J］.Geospatial Information，21（2）：89-92. |
| null | Zheng J， Yao W， Lin X，et al，2022.An accurate digital subsidence model for deformation detection of coal mining areas using a UAV-based LiDAR［J］.Remote Sensing，14（2）：421. |
| null | Zhu Zhonghua，2015.Research on Key Technologies of Integration System of Block Caving Ore Drawing Optimization Control and Intelligent Management［D］.Changsha：Central South University. |
| null | Zhu Zhonghua， Dai Bibo， Tao Ganqiang，et al，2019.Research and application overview of block caving method［J］.Metal Mine，48（12）：1-11. |
| null | 曹永，2023.自然崩落法拉底应力集中对围岩稳定性影响机理及防治措施研究［D］.北京：北京科技大学. |
| null | 邓博，张会，柏君，等，2024.利用机载LiDAR的深圳斜坡类地质灾害危险性评价［J］.武汉大学学报（信息科学版），49（8）：1377-1391. |
| null | 国家测绘地理信息局，2013. 三维地理信息模型数据产品规范： ［S］.北京：国家测绘地理信息局. |
| null | 李寒冰，刘宁，王盼，等，2022.标志点对数字近景摄影基坑监测精度影响研究［J］.合肥工业大学学报（自然科学版），45（8）：1066-1071. |
| null | 李涛，2017.天狼星无人机航摄系统在复杂地形测量中的应用与精度分析［J］.测绘通报，（12）：146-148，152. |
| null | 林芳，冯晓九，2023.基于概率积分法的济宁某矿地表位移规律研究［J］.金属矿山，52（11）：198-204. |
| null | 全斌，刘二洋，2010.金字塔影像结构在影像匹配中的应用［J］.测绘通报，396（3）：10-12，34. |
| null | 全昌文，李正洪，庞百宁，等，2023.无人机影像密集匹配点云在违法占地和违法建筑监测中的应用［J］.测绘通报，（4）：111-114. |
| null | 沈南山，顾晓春，尹升华，2009.国内外自然崩落采矿法技术现状［J］.采矿技术，9（4）：1-4. |
| null | 宋许根，刘秀敏，陈从新，等，2018.程潮铁矿西区采空区地表塌陷机制与变形规律初探［J］.岩石力学与工程学报，37（增2）：4262-4273. |
| null | 唐业茂，曾晓文，2010.自然崩落采矿法技术应用探讨［J］.有色金属（矿山部分），62（3）：9-11. |
| null | 吴飞，黄英华，胡静云，2023.基于测量机器人的高陡边坡变形测量精度研究与实践［J］.矿业研究与开发，43（2）：149-156. |
| null | 肖维，杨松林，韩行进，等，2023.测量机器人大坝变形自动化监测中的大气折光修正研究［J］.水电能源科学，41（4）：110-113. |
| null | 杨晓玉，2016.测量机器人在矿区地表动态变形监测中的应用［J］.煤矿安全，47（5）：137-140. |
| null | 余学义，张恩强，2010.开采损害学［M］.北京：煤炭工业出版社. |
| null | 查剑锋，朱鹏程，吴德军，等，2023.无人机航测空三点误差分布及像控点对其精度影响机理［J］.煤田地质与勘探，51（7）：151-161. |
| null | 张春森，朱师欢，臧玉府，等，2017.顾及曝光延迟的无人机GPS辅助光束法平差方法［J］.测绘学报，46（5）：565-572. |
| null | 张文龙，张童康，张帆，2022.结合PS-InSAR和DS-InSAR的韩城矿区采空区地面塌陷识别［J］.煤矿安全，53（8）：194-199. |
| null | 张亚红，2023.倾斜影像和机载LiDAR融合的城市三维建模技术［J］.地理空间信息，21（2）：89-92. |
| null | 朱忠华，2015.自然崩落法放矿优化控制与智能化管理关键技术研究［D］.长沙：中南大学. |
| null | 朱忠华，代碧波，陶干强，等，2019.自然崩落采矿法研究及应用［J］.金属矿山，48（12）：1-11. |
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