“轻终端+行业云”的实时北斗滑坡监测技术

doi:10.11947/j.AGCS.2019.20190167

测绘学报 ›› 2019, Vol. 48 ›› Issue (11): 1424-1429.doi: 10.11947/j.AGCS.2019.20190167

“轻终端+行业云”的实时北斗滑坡监测技术

白正伟, 张勤, 黄观文, 景策, 王家兴

长安大学地质工程与测绘学院, 陕西西安 710054

收稿日期:2019-05-05 修回日期:2019-07-29 出版日期:2019-11-20 发布日期:2019-11-19
通讯作者: 张勤 E-mail:zhangqinle@263.net.cn
作者简介:白正伟(1991-),男,博士生,研究方向为GNSS高精度定位技术理论与应用。E-mail:bzw0816@163.com
基金资助:
国家自然科学基金（41731066；41774025）；国家重点研发计划（2018YFC1505102）；陕西省杰出青年基金（2019JC-20）；二代导航重大专项（GFZX0301040308）；中央高校科研业务费专项（CHD300102268305；CHD300102268305）

Real-time BeiDou landslide monitoring technology of “light terminal plus industry cloud”

BAI Zhengwei, ZHANG Qin, HUANG Guanwen, JING Ce, WANG Jiaxing

College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China

Received:2019-05-05 Revised:2019-07-29 Online:2019-11-20 Published:2019-11-19
Supported by:
The National Natural Science Foundation of China (Nos. 41731066;41774025);The National Key Research and Development Program of China (No.2018YFC1505102);The Outstanding Youth Foundation of Shaanxi (No. 2019JC-20);The Grand Projects of the BeiDou-2 System (No. GFZX0301040308);The Special Fund for Basic Scientific Research of Central Colleges (Nos. CHD300102268305;CHD300102268305)

摘要/Abstract

摘要： 对滑坡区域进行地表高精度实时三维变形监测，是实现滑坡灾害精准预警的前提。GNSS技术是目前唯一直接获取滑坡灾害实时地表三维矢量变形的手段，但GNSS应用于大范围滑坡监测存在成本高和计算能力差两大问题。本文采用物联网思维，以"云+端"的设计理念，自主研发了千元级小型化实时北斗/GNSS监测技术装备，并研制了毫米级实时监测预警云平台，成果成功应用于甘肃黑方台滑坡实时监测预警。联合成都理工大学预警系统提前40 min发出了准确预警信号，避免了人员伤亡和财产损失。安装在滑坡体上的远程视频监控首次近距离记录了滑坡灾害发生的全过程。

关键词: 滑坡, GNSS, 北斗, 低成本, 高精度, 监测预警

Abstract: Implementing the high-precision, real-time and three-dimensional deformation monitoring for the landslide area, which is the prerequisite for the accurate warning of landslide disasters. GNSS technology is currently the only way to directly obtain the three-dimensional vector deformation of landslide disaster surface, but GNSS has two problems of high-cost and low-reliability in large-scale landslide monitoring. The ideas of Internet of Things and the concept of "cloud platform plus monitoring terminal" are proposed in this article. Thus, we develop a real-time BeiDou/GNSS monitoring equipment with thousands RMB cost. The millimeter monitoring and warning cloud platform also are developed independently. This equipment successfully applied to real-time monitoring and early warning of Heifangtai landslide in Gansu Province. Cooperated with early warning system of the Chengdu University of Technology, we issued an accurate warning signal 40 minutes in advance to avoid casualties and property losses. The remote video surveillance installed on the landslide body recorded the whole process of landslide disaster for the first time.

Key words: landslide, GNSS, BeiDou, low cost, high-precision, monitoring and early warning

中图分类号:

P228

白正伟, 张勤, 黄观文, 景策, 王家兴. “轻终端+行业云”的实时北斗滑坡监测技术[J]. 测绘学报, 2019, 48(11): 1424-1429.

BAI Zhengwei, ZHANG Qin, HUANG Guanwen, JING Ce, WANG Jiaxing. Real-time BeiDou landslide monitoring technology of “light terminal plus industry cloud”[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(11): 1424-1429.

参考文献 25

[1]	文海家, 张永兴, 柳源. 滑坡预报国内外研究动态及发展趋势[J]. 中国地质灾害与防治学报, 2004, 15(1):1-4, 16. WEN Haijia, ZHANG Yongxing, LIU Yuan. A home and abroad investigative-tendency of landslide forecast[J]. The Chinese Journal of Geological Hazard and Control, 2004, 15(1):1-4, 16.
[2]	TOMÁS R, LI Zhenhong. Earth observations for geohazards:present and future challenges[J]. Remote Sensing, 2017, 9(3):194.
[3]	YANG Yuanxi, XU Yangyin, LI Jinlong, et al. Progress and performance evaluation of BeiDou global navigation satellite system:data analysis based on BDS-3 demonstration system[J]. Science China Earth Sciences, 2018, 61(5):614-624.
[4]	YANG Yuanxi, GAO Weiguang, GUO Shuren, et al. Introduction to BeiDou-3 navigation satellite system[J]. Journal of the Institute of Navigation, 2019, 66(1):7-18.
[5]	黄才, 赵思浩. 国家定位导航授时基础设施现状及能力展望[J]. 导航定位与授时, 2017, 4(5):19-26. HUANG Cai, ZHAO Sihao. Present situation and outlook of national positioning, navigation and timing infrastructures[J]. Navigation Position & Timing, 2017, 4(5):19-26.
[6]	宁津生, 姚宜斌, 张小红. 全球导航卫星系统发展综述[J]. 导航定位学报, 2013, 1(1):3-8. NING Jinsheng, YAO Yibin, ZHANG Xiaohong. Review of the development of global satellite navigation system[J]. Journal of Navigation and Positioning, 2013, 1(1):3-8.
[7]	王阅兵, 甘卫军, 陈为涛, 等. 北斗导航系统精密单点定位在地壳运动监测中的应用分析[J]. 测绘学报, 2018, 47(1):48-56. DOI:10.11947/j.AGCS.2018.20170147. WANG Yuebing, GAN Weijun, CHEN Weitao, et al. The analysis of precise point positioning of BeiDou navigation satellite system application in crustal motion monitoring[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(1):48-56. DOI:10.11947/j.AGCS.2018.20170147.
[8]	TU R, WANG R, GE M, et al. Cost-effective monitoring of ground motion related to earthquakes, landslides, or volcanic activity by joint use of a single-frequency GPS and a MEMS accelerometer[J]. Geophysical Research Letters, 2013, 40(15):3825-3829.
[9]	黄观文, 黄观武, 杜源, 等. 一种基于北斗云的低成本滑坡实时监测系统[J]. 工程地质学报, 2018, 26(4):1008-1016. HUANG Guanwen, HUANG Guanwu, DU Yuan, et al. A lowcost real-time monitoring system for landslide deformation with BeiDou cloud[J]. Journal of Engineering Geology, 2018, 26(4):1008-1016.
[10]	雷哲哲, 黄观文, 杜源, 等. 低成本U-blox模块的单频GPS/BDS增强PPP定位性能分析[J]. 导航定位与授时, 2019, 6(1):74-80. LEI Zhezhe, HUANG Guanwen, DU Yuan, et al. Single frequency GPS/BDS enhanced PPP positioning performance analysis of low cost U-blox module[J]. Navigation Positioning & Timing, 2019, 6(1):74-80.
[11]	严丽, 黄丁发, 朱东伟. 一种高精度北斗基线解算软件的研制与性能分析[J]. 武汉大学学报(信息科学版), 2017, 42(12):1785-1791. YAN Li, HUANG Dingfa, ZHU Dongwei. Development and performance analysis of a high precision BDS baseline processing software[J]. Geomatics and Information Science of Wuhan University, 2017, 42(12):1785-1791.
[12]	HAN Junqiang, HUANG Guanwen, ZHANG Qin, et al. A new azimuth-dependent elevation weight (ADEW) model for real-time deformation monitoring in complex environment by multi-GNSS[J]. Sensors, 2018, 18(8):2473.
[13]	韩军强, 黄观文, 李哲. 复杂环境下GNSS滑坡监测多路径效应分析及处理方法[J]. 地球科学与环境学报, 2018, 40(3):355-362. HAN Junqiang, HUANG Guanwen, LI Zhe. Multipath effect analysis and processing method of GNSS landslide monitoring under complicated environment[J]. Journal of Earth Sciences and Environment, 2018, 40(3):355-362.
[14]	DU Yuan, HUANG Guanwen, ZHANG Qin, et al. A novel predictive algorithm for double difference observations of obstructed BeiDou geostationary earth orbit (GEO) satellites[J]. Advances in Space Research, 2019, 63(5):1554-1565.
[15]	胡亚轩, 王雄, 程林, 等. GNSS观测站环境变化对数据质量的影响[J]. 测绘科学, 2018, 43(3):131-136. HU Yaxuan, WANG Xiong, CHENG Lin, et al. Study on the data quality with the changing surroundings of GNSS stations[J]. Science of Surveying and Mapping, 2018, 43(3):131-136.
[16]	王利, 张勤, 李寻昌, 等. GPS RTK技术用于滑坡动态实时变形监测的研究[J]. 工程地质学报, 2011, 19(2):193-198. WANG Li, ZHANG Qin, LI Xunchang, et al. Dynamic and real time deformation monitoring of landslide with GPS-RTK technology[J]. Journal of Engineering Geology, 2011, 19(2):193-198.
[17]	贺小星. GPS坐标序列噪声模型估计方法研究[J]. 测绘学报, 2017, 46(3):398. DOI:10.11947/j.AGCS.2017.20160549. HE Xiaoxing. Study on the noise model of GPS coordinates time series[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(3):398. DOI:10.11947/j.AGCS.2017.20160549.
[18]	张勤, 黄观文, 杨成生. 地质灾害监测预警中的精密空间对地观测技术[J]. 测绘学报, 2017, 46(10):1300-1307. DOI:10.11947/j.AGCS.2017.20170453. ZHANG Qin, HUANG Guanwen, YANG Chengsheng. Precision space observation technique for geological hazard monitoring and early warning[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1300-1307. DOI:10.11947/j.AGCS.2017.20170453.
[19]	亓星, 许强, 赵宽耀, 等. 甘肃黑方台灌溉与地下水位响应规律分析[J]. 水利水电技术, 2018, 49(9):205-209. QI Xing, XU Qiang, ZHAO Kuanyao, et al. Analysis on law of response from irrigation to groundwater level at Heifangtai tableland in Gansu province[J]. Water Resources and Hydropower Engineering, 2018, 49(9):205-209.
[20]	张茂省. 引水灌区黄土地质灾害成因机制与防控技术——以黄河三峡库区甘肃黑方台移民灌区为例[J]. 地质通报, 2013, 32(6):833-839. ZHANG Maosheng. Formation mechanism as well as prevention and controlling techniques of loess geo-hazards in irrigated areas:a case study of Heifangtai immigration area in the Three Gorges reservoir of the yellow river[J]. Geological Bulletin of China, 2013, 32(6):833-839.
[21]	亓星, 许强, 李斌, 等. 甘肃黑方台黄土滑坡地表水入渗机制初步研究[J]. 工程地质学报, 2016, 24(3):418-424. QI Xing, XU Qiang, LI Bin, et al. Preliminary study on mechanism of surface water infiltration at Heifangtai loess landslides in Gansu[J]. Journal of Engineering Geology, 2016, 24(3):418-424.
[22]	许强, 汤明高, 黄润秋. 大型滑坡监测预警与应急处置[M]. 北京:科学出版社, 2015. XU Qiang, TANG Minggao, HUANG Runqiu. Large-scale landslide monitoring and early warning and emergency response[M]. Beijing:Science Press, 2015.
[23]	许强, 曾裕平, 钱江澎, 等. 一种改进的切线角及对应的滑坡预警判据[J]. 地质通报, 2009, 28(4):501-505. XU Qiang, ZENG Yuping, QIAN Jiangpeng, et al. Study on a improved tangential angle and the corresponding landslide pre-warning criteria[J]. Geological Bulletin of China, 2009, 28(4):501-505.
[24]	王珣, 李刚, 刘勇, 等. 基于滑坡等速变形速率的临滑预报判据研究[J]. 岩土力学, 2017, 38(12):3670-3679. WANG Xun, LI Gang, LIU Yong, et al. Critical sliding prediction criterion of landslide based on constant deformation rate[J]. Rock and Soil Mechanics, 2017, 38(12):3670-3679.
[25]	唐亚明, 薛强, 李政国, 等. 基于单体和区域尺度的黄土滑坡监测预警方法与实例[J]. 灾害学, 2015, 30(4):91-95, 106. TANG Yaming, XUE Qiang, LI Zhengguo, et al. Loess landslide monitoring and early-warning methods and practices on scale of single slope and regional scope[J]. Journal of Catastrophology, 2015, 30(4):91-95, 106.

“轻终端+行业云”的实时北斗滑坡监测技术

Real-time BeiDou landslide monitoring technology of “light terminal plus industry cloud”

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