Automatic monitoring system on highway slopes based on GNSS technique

WANG Huimin; LUO Zhongxing; XIAO Yingcheng; LIU Zhengxing; HE Anliang; LIANG Xiaodong

doi:10.16031/j.cnki.issn.1003-8035.2020.06.08

Volume 31 Issue 6

Jan. 2021

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The Chinese Journal of Geological Hazard and Control > 2020 > 31(6): 60-68. > DOI: 10.16031/j.cnki.issn.1003-8035.2020.06.08

WANG Huimin, LUO Zhongxing, XIAO Yingcheng, LIU Zhengxing, HE Anliang, LIANG Xiaodong. Automatic monitoring system on highway slopes based on GNSS technique[J]. The Chinese Journal of Geological Hazard and Control, 2020, 31(6): 60-68. DOI: 10.16031/j.cnki.issn.1003-8035.2020.06.08

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Automatic monitoring system on highway slopes based on GNSS technique

1. Hunan CNNC Construction Engineering Company, Changsha, Hunan 410119, China;
2. Hunan Lianzhi Technology Co., Ltd., Changsha, Hunan 410031, China

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Received Date: August 18, 2020
Revised Date: September 06, 2020
Available Online: January 21, 2021

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Abstract

In order to explore the practical role of highway slope automatic monitoring system based on GNSS monitoring station, this paper studies the K69 + 080 section of YQTJ5 section of Chongqing Banan Qijiang Expressway. Firstly, based on LZMR02-GNSS receiver and FS-YL rain gauge, Beidou + safety monitoring cloud platform is independently developed, which can manage and analyze the GNSS surface displacement monitoring stations and deep displacement monitoring holes arranged on site in real time. The monitoring results show that the slope has local collapse and cracking and other unstable phenomena, and early warning is sent to relevant departments and units. Then, the residual sliding force of the slope is calculated based on the transfer coefficient method, and the numerical simulation is carried out by using Geo5 finite element software. The results verify the accuracy of the monitoring system. Therefore, the establishment of highway slope automatic monitoring system can not only solve the shortcomings of conventional manual monitoring of slope, but also ensure the timeliness of monitoring data, which provides a certain reference value for future intelligent monitoring of slope.
- highways,
- slope monitoring,
- GNSS technology,
- disaster warning

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[1]	丁祖全, 黎志恒. 兰州市地质灾害与防治[M]. 兰州:甘肃科学技术出版社, 2009.[DING Z Q,LI Z H. Geological disasters and Prevention in Lanzhou City[M]. Lanzhou:Gansu Science Press, 2009.(in Chinese)]
[2]	中华人民共和国国土资源部.全国地质灾害通报[R]. 2012.[Ministry of Land and Resources, PRC. National geological disasters bulletin[R]. 2012.(in Chinese)]
[3]	王川. 贵州省开阳县龙井湾滑坡稳定性分析与自动化监测系统的建设[D]. 成都理工大学, 2012.[WANG C. Stability analysis and construction of automatic monitoring system for Longjingwan Landslide in Kaiyang County, Guizhou Province[D]. Chengdu University of Technology, 2012.(in Chinese)]
[4]	邓学钧. 路基路面工程[M]. 北京:人民交通出版社, 2008.[DENG X J. Road subgrade and pavement engineering[M]. Beijing:China Communications Press, 2008.(in Chinese)]
[5]	BOCK Y. Monitoring of deformaations with GPS[C]. Deformation measurements workshop, Mass. Inst. of Tech, Cambridge, Mass, 1986:96-111.
[6]	FOULGER G R, BEUTLER, BILHAM R,et al. The iceland 1986 GPS geodetic survey:tectonic goals and data processing results[J]. Bulletin Gtodtsique, 1993(67):148-172.
[7]	谢向进, 荣幸. GNNS技术在变形监测中的应用[J]. 科技资讯, 2008, 23(6):4-5. [XIE X J, RONG X. Application of GNNS technology in deformation monitoring[J]. Science & Technology Information, 2008, 23(6):4-5.(in Chinese)]
[8]	朱宝柱. GNSS技术在怀新高速公路高边坡监测中的应用研究[D]. 长沙:长沙理工大学, 2018.[ZHU B Z. Application research of GNSS technology in monitoring high slope of Huai-Xin expressway[D].Changsha:Changsha University of Science & Technology, 2018.(in Chinese)]
[9]	薛长龙. 基于多源信息的鹤大高速公路边坡监测与稳定性分析[J]. 公路交通科技(应用技术版), 2019, 15(12):340-343.[XUE C L. Roadside slope monitoring and stability analysis of Heda expressway based on multi-source information[J]. Road Traffic Technology (Applied Technology Edition), 2019, 15(12):340-343. (in Chinese)]
[10]	赵鹏涛, 张升彪, 鲁光银. GNSS自动化在线监测在高速公路边坡监测中的应用[J]. 中国科技信息, 2019(18):66-68.[ZHAO P T, ZHANG S B, LU G Y. Application of GNSS automatic online monitoring in highway slope monitoring[J]. China Science and Technology Information, 2019 (18):66-68.(in Chinese)]
[11]	杨飞, 汤罗圣, 王云安, 等. 高速公路边坡自动监测与稳定性分析[J]. 山西建筑, 2019, 45(6):123-124. [YANG F, TANG L S, WANG Y A, et al. Automatic monitoring and stability analysis of expressway slope[J]. Shanxi Architecture, 2019, 45(6):123-124.(in Chinese)]
[12]	荣美, 黎付安, 满新耀. GNSS自动化监测系统在高速路边坡表面位移监测中的应用[J]. 西部交通科技, 2020(2):22-26.[RONG M, LI F A, MAN X Y. Application of GNSS automatic monitoring system in surface displacement monitoring of highway slope[J]. Western China Communication Science & Technology, 2020 (2):22-26.(in Chinese)]
[13]	中华人民共和国交通运输部. 公路路基设计规范:JTG D30-2015[S]. 北京:人民交通出版社, 2015.[Specifications for design of highway subgrades:JTG D30-2015[S]. Beijing:China Communications Press, 2015. (in Chinese)]

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Automatic monitoring system on highway slopes based on GNSS technique

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