基于时序InSAR技术的输电设备地基稳定性监测

刘明; 陈雄乐; 郭金根; 朱文卫; 董晗拓

doi:10.19388/j.zgdzdc.2024.153

基于时序InSAR技术的输电设备地基稳定性监测

1.
广东电网有限责任公司电网规划研究中心, 广东广州 510000

2.
广东工业大学广东广州 510000

详细信息

作者简介: 刘明(1982—)，男，高级工程师，主要从事变形监测、地质灾害预警等地理信息测绘方面的工作。Email：531950053@qq.com

通讯作者: 陈雄乐(1994—)，男，工程师，主要从事InSAR技术开发方面的工作。Email: 769192396@qq.com

中图分类号: P681.7

收稿日期: 2024-03-04

修回日期: 2025-01-05

刊出日期: 2025-06-25

Foundation stability monitoring of transmission equipment based on time series InSAR technology

1.
Guangdong Power Grid Limited Liability Company Grid Planning Research Center, Guangzhou Guangdong, 510000, China

2.
Guangdong University of Technology, Guangzhou Guangdong 510000, China

More Information

Corresponding author: CHEN Xiongle, 769192396@qq.com

Received Date: 04 March 2024

Revised Date: 05 January 2025

Publish Date: 25 June 2025

摘要

摘要:
变电站和输电杆塔是重要的输电设备，其地基或所在斜坡产生的变形可能会导致严重的后果，研究应用小基线子集干涉合成孔径雷达(small baseline subset interferometric synthetic aperture radar，SBAS-InSAR)技术对红河哈尼族彝族自治州蒙自县内变电站与杆塔所在区域进行了时序动态监测，以精确探测变电站及附近区域的地表形变动态。研究发现，变电站地表变形呈现南升北降的趋势，西北部下沉尤为严重，验证了先前设施异常报告。需特别指出，N170与N168节点自2022年8月起，抬升速率出现突变，N170南部采样点抬升量突出，凸显地表沉降不均匀性。据此，建议尽快加强变电站维护，特别是南部和西北部地基加固，以防结构失稳和停电风险，并需细致探究附近杆塔南部特殊沉降。研究不仅为该变电站提供了科学运维依据，还为同类电力设施地质稳定监控、风险预警策略及预维护规划树立了模型，有效提升了电力系统的安全韧性与灾害防御能力。
- 变电站 /
- 杆塔 /
- SBAS-InSAR /
- 形变 /
- Sentinel-1SAR
Abstract:
Substations and transmission towers are important transmission equipment, and the possible deformation of their foundations or slopes may lead to serious consequences. The time series dynamic monitoring of Mengzi substations and towers in Honghe Hani of Yi Autonomous Prefecture was studied with the method of Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) to accurately detect the surface deformation dynamics of substations and nearby areas. The study found that the substation surface deformation showed a trend of rising in the south and falling in the north, and the subsidence in the northwest was particularly serious, which verified the previous report of facility anomalies. In particular, the uplift rate of N170 and N168 nodes has changed abruptly since August 2022. The uplift of the sampling point in the south of N170 is prominent, highlighting the unevenness of surface subsidence. Accordingly, it is recommended to strengthen the maintenance of the substation as soon as possible, especially the foundation reinforcement in the south and northwest. So structural instability and power outage risks were prevented, and the special settlement in the south of the nearby towers need to be carefully explored. This study could not only provide scientific basis for the operation and maintenance of the substation, but also establish a model for the geological stability monitoring, risk early warning strategy and pre-maintenance planning of similar power facilities, which could effectively improve the safety resilience and disaster prevention ability of the power system.
- substation /
- tower /
- SBAS-InSAR /
- deformation /
- Sentinel-1SAR

HTML全文

图 1 变电站及周边卫星地貌图

Figure 1.

下载: 全尺寸图片幻灯片

图 2 2018年1月至2022年10月年均形变速率

Figure 2.

下载: 全尺寸图片幻灯片

图 3 2018年1月至2022年10月形变速率分布直方图

Figure 3.

下载: 全尺寸图片幻灯片

图 4 N170及周边采样点位置

Figure 4.

下载: 全尺寸图片幻灯片

图 5 N170及周边采样点时序形变图

Figure 5.

下载: 全尺寸图片幻灯片

图 6 N169及周边采样点位置

Figure 6.

下载: 全尺寸图片幻灯片

图 7 N169及周边采样点时序形变图

Figure 7.

下载: 全尺寸图片幻灯片

图 8 N168及周边采样点为位置

Figure 8.

下载: 全尺寸图片幻灯片

图 9 N168及周边采样点时序形变图

Figure 9.

下载: 全尺寸图片幻灯片

图 10 变电站采样点位置

Figure 10.

下载: 全尺寸图片幻灯片

图 11 变电站采样点时序形变图

Figure 11.

下载: 全尺寸图片幻灯片

参考文献(14)

[1]	李瑞峰, 常乐, 秦海. InSAR技术在超高层建筑变形监测的应用研究[J]. 工程质量, 2021, 39(4): 70-73. doi: 10.3969/j.issn.1671-3702.2021.04.016 Li R F, Chang L, Qin H. Application of InSAR technology in deformation monitoring of super high rise buildings[J]. Construction Quality, 2021, 39(4): 70-73. doi: 10.3969/j.issn.1671-3702.2021.04.016
[2]	陈翔, 刘庆元. 赛格广场大厦工程变形监测与分析[J]. 工程建设, 2006, 38(1): 41-45. Chen X, Liu Q Y. Deformation monitoring and analysis of Saige square building project[J]. Engineering Construction, 2006, 38(1): 41-45.
[3]	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. doi: 10.11947/j.AGCS.2017.20170350 Zhu J J, Li Z W, Hu J. Research progress and methods of InSAR for deformation monitoring[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1717-1733. doi: 10.11947/j.AGCS.2017.20170350
[4]	唐尧, 王立娟, 廖军, 等. 基于InSAR技术的川西高山峡谷区地质灾害早期识别研究——以小金川河流域为例[J]. 中国地质调查, 2022, 9(2): 119-128. doi: 10.19388/j.zgdzdc.2022.02.12 Tang Y, Wang L J, Liao J, et al. Research on early identification of geological hazards in high mountain and valley areas of western Sichuan province based on InSAR technology: A case study of Xiaojinchuan River Basin[J]. Geological Survey of China, 2022, 9(2): 119-128. doi: 10.19388/j.zgdzdc.2022.02.12
[5]	刘斌, 葛大庆, 李曼, 等. 地基InSAR技术及其典型边坡监测应用[J]. 中国地质调查, 2018, 5(1): 73-81. doi: 10.19388/j.zgdzdc.2018.01.11 Liu B, Ge D Q, Li M, et al. Ground-based interferometric synthetic aperture radar andits application in monitoring typical slopes[J]. Geological Survey of China, 2018, 5(1): 73-81. doi: 10.19388/j.zgdzdc.2018.01.11
[6]	刘国祥, 丁晓利, 陈永奇, 等. 极具潜力的空间对地观测新技术——合成孔径雷达干涉[J]. 地球科学进展, 2000, 15(6): 734-740. doi: 10.3321/j.issn:1001-8166.2000.06.020 Liu G X, Ding X L, Chen Y Q, et al. New and potential technology for observation of earth from space: Synthetic aperture radar interferometry[J]. Advances in Earth Science, 2000, 15(6): 734-740. doi: 10.3321/j.issn:1001-8166.2000.06.020
[7]	吴一戎, 朱敏慧. 合成孔径雷达技术的发展现状与趋势[J]. 遥感技术与应用, 2000, 15(2): 121-123. doi: 10.3969/j.issn.1004-0323.2000.02.012 Wu Y R, Zhu M H. The developing status and trends of synthetic aperture radar[J]. Remote Sensing Technology and Application, 2000, 15(2): 121-123. doi: 10.3969/j.issn.1004-0323.2000.02.012
[8]	何敏, 何秀凤. 利用D-InSAR技术监测盐城地区地表形变[J]. 测绘通报, 2010(11): 1-3. He M, He X F. Monitoring ground deformation of yancheng using D-InSAR[J]. Bulletin of Surveying and Mapping, 2010(11): 1-3.
[9]	周志伟, 鄢子平, 刘苏, 等. 永久散射体与短基线雷达干涉测量在城市地表形变中的应用[J]. 武汉大学学报: 信息科学版, 2011, 36(8): 928-931. Zhou Z W, Yan Z P, Liu S, et al. Persistent scatterers and small baseline SAR interferometry for city subsidence mapping: a case study in Panjin, China[J]. Journal of Wuhan University (Information Science Edition), 2011, 36(8): 928-931.
[10]	杨魁, 杨建兵, 江冰茹. Sentinel-1卫星综述[J]. 城市勘测, 2015(2): 24-27. doi: 10.3969/j.issn.1672-8262.2015.02.006 Yang K, Yang J B, Jiang B R. Sentinel-1 satellite overview[J]. Urban Geotechnical Investigation & Surveying, 2015(2): 24-27. doi: 10.3969/j.issn.1672-8262.2015.02.006
[11]	张艳梅, 王萍, 罗想, 等. 利用Sentinel-1数据和SBAS-InSAR技术监测西安地表沉降[J]. 测绘通报, 2017(4): 93-97. Zhang Y M, Wang P, Luo X, et al. Monitoring Xi'an land subsidence using sentinel-1 images and SBAS-InSAR technology[J]. Bulletin of Surveying and Mapping, 2017(4): 93-97.
[12]	李国华, 薛继群. 基于短基线集技术的矿区开采沉陷监测研究[J]. 测绘与空间地理信息, 2013, 36(3): 191-193, 196. doi: 10.3969/j.issn.1672-5867.2013.03.064 Li G H, Xue J Q. Monitoring the surface subsidence of mining areas based on SBAS method[J]. Geomatics & Spatial Information Technology, 2013, 36(3): 191-193, 196. doi: 10.3969/j.issn.1672-5867.2013.03.064
[13]	张金盈, 崔靓, 刘增珉, 等. 利用Sentinel-1 SAR数据及SBAS技术的大区域地表形变监测[J]. 测绘通报, 2020(7): 125-129. Zhang J Y, Cui L, Liu Z M, et al. Large-area surface deformation monitoring using sentinel-1 SAR data and SBAS technology[J]. Bulletin of Surveying and Mapping, 2020(7): 125-129.
[14]	高海英, 赵争, 章彭. 时序InSAR的贵州地质灾害监测[J]. 测绘科学, 2020, 45(7): 91-99. Gao H Y, Zhao Z, Zhang P. Geological hazards in Guizhou by using time series SAR interferometry[J]. Science of Surveying and Mapping, 2020, 45(7): 91-99.