露天矿边坡稳定性监测方法研究现状及进展

doi:10.13474/j.cnki.11-2246.2022.0133

摘要/Abstract

摘要： 边坡稳定性监测是有效预警滑坡的重要手段,本文在总结国内外文献资料的基础上,从不同的技术手段、不同的使用范围分析了边坡稳定性监测方法的利弊及其适用性,监测技术实现了从点到面、从坡体表面到坡体内部、从人工测量到自动化和智能化监测、从近距离监测到远程监控等方向的转变和发展。针对边坡稳定性监测技术研究中存在的问题,提出了采用空-天-地-内一体化监测,实施多源监测数据融合,以及稳定性动态评价和远程监测一体化交互的观点,以提高边坡稳定性预警的可靠性和远程监测的时效性,为降低矿山的生产成本,保障矿山的安全实施提供重要的技术支持,也为相关领域的研究提供参考。

关键词: 露天矿边坡, 稳定性监测, 一体化监测, 多源数据融合, 远程监控

Abstract: Slope stability monitoring is an important means to effectively prevent landslides. Based on the summary of domestic and foreign literature, this paper analyzes the applicability and shortcomings of slope stability monitoring methods from different technical means and different application scope. The monitoring technology has realized the transformation and development from point to surface, from slope surface to slope interior, from manual measurement to automatic and intelligent monitoring, from close monitoring to remote monitoring. In view of the problems existing in the slope stability monitoring technology, this paper puts forward the viewpoints of adopting the integrated monitoring of space, sky and earth, implementing the multi-source monitoring data fusion, and the integrated interaction of stability dynamic evaluation and remote monitoring, so as to improve the reliability of slope stability early warning and the timeliness of remote monitoring, and provide important reference for reducing the production cost of the mine and ensuring the safe implementation of the mine. It also provides reference for the research in related fields.

Key words: open-pit slope, stability monitoring, integrated monitoring, multi-source data fusion, remote monitoring

中图分类号:

P258

陈兰兰, 夏益强, 肖海平, 刘小生. 露天矿边坡稳定性监测方法研究现状及进展[J]. 测绘通报, 2022, 0(5): 7-13.

CHEN Lanlan, XIA Yiqiang, XIAO Haiping, LIU Xiaosheng. Research status and progress of slope stability monitoring methods in open-pit mines[J]. Bulletin of Surveying and Mapping, 2022, 0(5): 7-13.

参考文献

[1] 肖海平.中小型露天矿边坡稳定性动态评价方法及应用[D].徐州:中国矿业大学, 2019.
[2] 咸玉建,郭炳跃,梁聪,等.宿迁市韩山堆填土滑坡稳定性分析与治理设计[J].江西理工大学学报, 2020, 41(1):1-7.
[3] 谢良,支学艺,郭钟群,等.基于位移反分析的岩质边坡稳定性分析[J].有色金属科学与工程, 2011, 2(5):89-92.
[4] 钟阳,刘富春.徕卡第三代测量机器人在瓮福磷矿矿坑变形监测中的观测方法[J].测绘通报, 2014(9):133-134.
[5] 陈优良,卞焕,虞列沛,等.基于测量机器人的露天矿边坡变形在线分析与预测[J].有色金属科学与工程, 2018, 9(6):72-80.
[6] 刘超,高井祥,王坚,等. GPS/伪卫星技术在露天矿边坡监测中的应用[J].煤炭学报, 2010, 35(5):755-759.
[7] 李家春,宋宗昌,侯少梁,等.北斗高精度定位技术在边坡变形监测中的应用[J].中国地质灾害与防治学报, 2020, 31(1):70-75.
[8] 代朵,卢才武,顾清华,等.露天矿边坡北斗卫星位移监测系统设计与实现[J].金属矿山, 2015(9):112-115.
[9] ODOLINSKI R,TEUNISSEN P J G,ODIJK D.Combined BDS,Galileo,QZSS and GPS single-frequency RTK[J]. GPS Solutions, 2015, 19(1):151-163.
[10] 王彬彬,刘根友,李正媛,等. BDS/GPS单历元阻尼LAMBDA算法及其在边坡变形监测中的应用效果分析[J].大地测量与地球动力学, 2017, 37(8):782-786.
[11] 唐桢,刘斐,王孟穹.由点到面的变形监测技术在露天矿山边坡中的应用研究[J].测绘与空间地理信息, 2019, 42(5):69-72.
[12] 陈晓勇,何海清,周俊超,等.低空摄影测量立体影像匹配的现状与展望[J].测绘学报, 2019, 48(12):1595-1603.
[13] 梁诗顺,孟永东,田斌,等.滑坡表面位移无人机接触式监测的飞行路径优化——以三峡库区白水河滑坡为例[J].地球物理学进展,2020, 35(3):1162-1167.
[14] 贺凯.无人机载雷达在露天矿边坡位移监测中的应用[J].煤矿安全, 2018, 49(3):118-120.
[15] WU Xinghui, GUO Qifeng, ZHANG Jie. Application of double GPS multi-rotor UAV in the investigation of high slope perilous rock-mass in an open pit iron mine[J]. Geotechnical and Geological Engineering, 2020, 38(1):71-78.
[16] 徐茂林,高延东,张贺,等.三维激光扫描技术在露天矿边坡监测中的应用[J].辽宁科技大学学报, 2015, 38(3):217-220.
[17] KROMER R A, ABELLÁN A,HUTCHINSON D J,et al. Automated terrestrial laser scanning with near-real-time change detection-monitoring of the Séchilienne landslide[J]. Earth Surface Dynamics, 2017, 5(2):293-310.
[18] 胡嫚,谢谟文,许波.一种基于三维激光扫描的滑坡变形固定桩点监测方法[J].西南大学学报(自然科学版), 2017, 39(10):155-164.
[19] ZEYBEK M, ŞANLıO Ǧ LU İ. Accurate determination of theTaşkent (Konya, Turkey) landslide using a long-range terrestrial laser scanner[J]. Bulletin of Engineering Geology and the Environment, 2015, 74(1):61-76.
[20] GE Xuming. Automatic markerless registration of point clouds with semantic-keypoint-based 4-points congruent sets[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 130:344-357.
[21] ACHACHE J, FRUNEAU B, DELACOURT C. Applicability of SAR interferometry for monitoring of landslides[C]//Proceedings of the 2nd ERS Applications Workshop.London:[s.n.],1995:165-168.
[22] 李如仁,杨震,余博. GB-InSAR集成GIS的露天煤矿边坡变形监测[J].测绘通报, 2017(5):26-30.
[23] CARLÀ T, FARINA P, INTRIERI E, et al. Integration of ground-based radar and satellite InSAR data for the analysis of an unexpected slope failure in an open-pit mine[J]. Engineering Geology, 2018, 235:39-52.
[24] FRATTINI P,CROSTA G B,ROSSINI M,et al.Activity and kinematic behaviour of deep-seated landslides from PS-InSAR displacement rate measurements[J]. Landslides, 2018, 15(6):1053-1070.
[25] BERARDINO P, FORNARO G, LANARI R, et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11):2375-2383.
[26] 史绪国,徐金虎,蒋厚军,等.时序InSAR技术三峡库区藕塘滑坡稳定性监测与状态更新[J].地球科学, 2019, 44(12):4284-4292.
[27] 朱建军,李志伟,胡俊. InSAR变形监测方法与研究进展[J].测绘学报, 2017, 46(10):1717-1733.
[28] HO S C,CHEN I H,LIN Yushu,et al.Slope deformationmonitoring in the Jiufenershan landslide using time domain reflectometry technology[J]. Landslides, 2019, 16(6):1141-1151.
[29] CHUNG C C,LIN C P.A comprehensive framework of TDR landslide monitoring and early warning substantiated by field examples[J]. Engineering Geology, 2019, 262(28):1-11.
[30] 汤立群,陶肖明.同轴电缆的时域反射技术及其在工程中的应用[J].华南理工大学学报(自然科学版), 2000, 28(6):69-73.
[31] 张青,史彦新,林君.时间域反射法用于滑坡监测的试验研究[J].吉林大学学报(地球科学版), 2007, 37(1):134-138.
[32] 刘建伟,吴贤振,刘祥鑫,等.不同岩石脆性破坏声发射时频特性及信号识别[J].有色金属科学与工程, 2013, 4(6):73-77.
[33] 姜亮亮,朱志成,赵奎,等.单轴压缩试验下包裹及未包裹岩石声发射特性研究[J].江西理工大学学报, 2015, 36(3):25-29.
[34] 张大伦.国外声发射技术的研究简况[J].地质科技情报, 1983, 2(2):3-4.
[35] ZAKI A, CHAI H K, RAZAK H A, et al. Monitoring and evaluating the stability of soil slopes:a review on various available methods and feasibility of acoustic emission technique[J]. Comptes Rendus Geoscience, 2014, 346(9/10):223-232.
[36] SMITH A, DIXON N, MELDRUM P, et al. Acoustic emission monitoring of a soil slope:comparisons with continuous deformation measurements[J]. Géotechnique Letters, 2014, 4(4):255-261.
[37] MENDEZ A, MORSE T, MENDEZ F. Applications of embedded optical fiber sensors in reinforced concrete buildings and structures[J]. Proceedings of Spie the International Society for Optical Engineering, 1990, 1170:60-69.
[38] KIHARA M,HIRAMATSU K,SHIMA M,et al.Distributed optical fiber strain sensor for detecting river embankment collapse[J]. Ieice Transactions on Electronics, 2002, E85C (4):952-960.
[39] KATO S, KOHASHI H. Study on the monitoring system of slope failure using optical fiber sensors[C]//Proceedings of 2006 GeoCongress.Reston:American Society of Civil Engineers, 2006:1-6.
[40] 丁勇,施斌,崔何亮,等.光纤传感网络在边坡稳定监测中的应用研究[J].岩土工程学报, 2005, 27(3):338-342.
[41] 万华琳,蔡德所,何薪基,等.高陡边坡深部变形的光纤传感监测试验研究[J].三峡大学学报(自然科学版), 2001, 23(1):20-23.
[42] SUN Yijie, SHI Bin, ZHANG Dan, et al. Internal deformation monitoring of slope based on BOTDR[J]. Journal of Sensors, 2016, 2016:9496285.
[43] 杨帆,欧中华,张旨遥,等.面向斜滑坡安全监测的OFDR光纤应力传感系统[J].传感技术学报, 2019, 32(3):321-326.
[44] 易贤龙,唐辉明,吴益平,等. PPP-BOTDA分布式光纤技术在白水河滑坡监测中的应用[J].岩石力学与工程学报, 2016, 35(S1):3084-3091.
[45] 史彦新,张青,孟宪玮.分布式光纤传感技术在滑坡监测中的应用[J].吉林大学学报(地球科学版), 2008, 38(5):820-824.
[46] 高潮,刘邦,郭永彩,等.一种用于滑坡监测的复合光纤装置[J].光子学报, 2017, 46(8):1-7.
[47] 王毅鹏,张永志,赵超英,等. GPS及InSAR数据支持下的甘肃黑方台滑坡监测云平台设计与分析[J].测绘通报, 2019(8):106-110.
[48] 罗勇,唐华伟,管贵平,等.基于综合监测技术的大型岩堆边坡防治研究[J].中外公路, 2016, 36(6):9-13.
[49] MATEOS R M, AZAÑÓN J M, ROLDÁN F J, et al. The combined use of PS-InSAR and UAV photogrammetry techniques for the analysis of the kinematics of a coastal landslide affecting an urban area (SE Spain)[J]. Landslides, 2017, 14(2):743-754.