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

Turn off MathJax

Article Contents

Abstract

References

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

Citation:

PDF (6112 KB)

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

More Information

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

Graphical Abstract

Abstract

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

FullText(HTML)

References (13)

References

[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)]

[1]	Xing QI, Ruliang CAO, Dehao XIU, Fei ZHOU. Real-time filtering and application of landslide GNSS deformation data based on dynamic frequency conversion[J]. The Chinese Journal of Geological Hazard and Control. DOI: 10.16031/j.cnki.issn.1003-8035.202403010
[2]	Weimin HUANG, Quanming CHEN, Jixiang CHEN. Analysis of the “631” geological disaster early warning mode and case studies in Hunan Province[J]. The Chinese Journal of Geological Hazard and Control, 2024, 35(2): 74-80. DOI: 10.16031/j.cnki.issn.1003-8035.202312022
[3]	Yun NAN, Shuhua ZHAI, Yan LI, Ying CAO, Shoujing LUO, Yuntao WANG, Xuefei GUO. Analysis on the characteristics of geological disasters and effectiveness of early warning duiring heavy rainfall on “23•7” in Beijing[J]. The Chinese Journal of Geological Hazard and Control, 2024, 35(2): 66-73. DOI: 10.16031/j.cnki.issn.1003-8035.202312023
[4]	Jia SUI, Hao SUN, Lihua ZHANG, Qiannan XIN, Yongwang SUN, Dong WANG. Construction and realization of information platform for geological disaster monitoring and early warning in Qinghai Province[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(2): 92-101. DOI: 10.16031/j.cnki.issn.1003-8035.202202007
[5]	Xiangyuan ZHANG. Construction and implementation of an automatic algorithm for generating information of geological disaster floor risk warning products based on GIS and GDAL[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(5): 76-82. DOI: 10.16031/j.cnki.issn.1003-8035.202205036
[6]	Wei WANG, Yamin DANG, Chuanyin ZHANG, Qiang YANG. Application of CORS network and GNSS technology in ground deformation monitoring: Taking southeast Zhejiang Province as an example[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(2): 73-77. DOI: 10.16031/j.cnki.issn.1003-8035.2021.02.10
[7]	VRSZHANG Mingzhi, ZHAN Bing, ZHAO Wenyi, YUAN Xudong, LI Hongxiang. Design and practice of high precision landslide displacement monitoring system based on VRS[J]. The Chinese Journal of Geological Hazard and Control, 2020, 31(6): 54-59. DOI: 10.16031/j.cnki.issn.1003-8035.2020.06.07
[8]	CHENG Suzhen, LU Lu, ZHAI Shuhua, ZHANG Changmin, HAO Chunyan, REN Kaizhen. Temporal-spatial distribution and monitoring and early warning of sudden geological disasters in Beijing during the period of 2004 to 2018[J]. The Chinese Journal of Geological Hazard and Control, 2020, 31(6): 38-46. DOI: 10.16031/j.cnki.issn.1003-8035.2020.06.05
[9]	LI Xingyu. Research and practice of high-precision intelligent monitoring and early warning technology for landslide deformation[J]. The Chinese Journal of Geological Hazard and Control, 2020, 31(6): 21-29. DOI: 10.16031/j.cnki.issn.1003-8035.2020.06.03
[10]	ZHANG Kaixiang. Review on geological disaster monitoring and early warning system based on “3S” technology in China[J]. The Chinese Journal of Geological Hazard and Control, 2020, 31(6): 1-11. DOI: 10.16031/j.cnki.issn.1003-8035.2020.06.01

Cited By

Cited by

Periodical cited type(40)

1.	刘正兴，王华，金鑫. 基于LoRa自组网的山区高边坡集成监测预警技术及应用. 公路交通科技. 2025(02): 97-102+130 .
2.	张官清，卢芝，江志刚，姜万夫. 软弱松散土层库岸斜坡破坏特征及变形监测分析. 水利科技与经济. 2025(03): 26-29+33 .
3.	盖卫鹏，马玉杰，刘军勇，黄亚飞，赵亚伟，贾德生. 公路深路堑稳定性监测的关键问题探讨. 路基工程. 2024(01): 7-13 .
4.	刘李彦，杨豪，张军辉，郭凯丽. 公路路基工程智能建养关键技术研究与展望. 长沙理工大学学报(自然科学版). 2024(01): 59-87 .
5.	桑蕊. 水库大坝GNSS监测系统设计和应用分析. 水利科学与寒区工程. 2024(02): 138-140 .
6.	董侨，杜豫川，郭猛，黄优，贾彦顺，蒋玮，金娇，李峰，刘成龙，刘鹏飞，刘状壮，罗雪，吕松涛，马涛，沙爱民，单丽岩，司春棣，王朝辉，王大为，肖月，徐慧宁，杨旭，张久鹏，张园，朱兴一. 中国路面工程学术研究综述·2024. 中国公路学报. 2024(03): 1-81 .
7.	冯元生，张豹，田卿燕，李佩峻，李宏文，陈文山. GNSS定位技术在营运高速公路边坡变形监测中的应用. 广州建筑. 2024(01): 101-104 .
8.	田恒. 边坡变形监测技术在山区农村公路工程中的应用. 交通世界. 2024(13): 37-39 .
9.	梁鹏，陈川，黄庭华，邵羽，刘先林，陈有东，戴可人. 天巴公路典型边坡空地协同综合监测分析. 测绘科学. 2024(03): 108-116 .
10.	张春良，刘红，向丽，邓华锐，景胜，金苗. 高边坡GNSS自动化监测技术应用. 路基工程. 2024(04): 165-170 .
11.	刘运才，侯诚，刘卫其，史俊波，邹进贵. 面向海量北斗变形监测数据的站点健康诊断自动化技术. 长江科学院院报. 2024(10): 201-205+214 .
12.	乔仲发，黄煜寰，周炯，古海东，周密，邬赛，朱鸿鹄. 基于物联网技术的高边坡监测系统研究. 黑龙江大学自然科学学报. 2024(05): 590-596 .
13.	宿林，张帅. 基于GNSS的滑坡自动化监测应用分析. 地理空间信息. 2023(02): 122-124+152 .
14.	夏选莉，商经睿，张春禹，沈锋. 高精度GNSS在滑坡监测预警中的应用. 云南电力技术. 2023(01): 2-5+12 .
15.	冯云龙，周振东，张静晓，朱哲，史小丽. 沥青混凝土路面施工质量监测系统的构建与实现. 施工技术(中英文). 2023(05): 13-19 .
16.	聂瑞，孙虎，杜祝遥，陈蓉，何佳. 公路路网不良斜坡智能检测及预警系统的研究. 科技创新与生产力. 2023(03): 127-129+134 .
17.	杨帆. 光纤侦听高速公路灾害监测报警系统设计研究. 交通科技与管理. 2023(10): 19-21 .
18.	孟繁贺，胡卫军，韦超俊. 公路边坡及坡顶电塔应急抢险工程监测方案研究. 西部交通科技. 2023(05): 22-25 .
19.	杜玉柱. 铁路安全遥感新技术动态监测. 测绘通报. 2023(09): 129-134 .
20.	孙凯强，刘惊灏，苏谦，程李娜，牛云彬，李艳东. 基于地质BIM模型与有限元分析的铁路高边坡多源融合健康监测. 铁道标准设计. 2023(11): 31-37+60 .
21.	梁文广，陈圣甜，余道明，张彦忠，况联飞. 公路边坡空天地孔一体化监测平台架构与工程应用. 工程勘察. 2023(12): 54-58 .
22.	常志宏，马晓刚，谷丽蕊，李永建. 基于高速摄像头的高速公路路况异常监控方法. 中国交通信息化. 2023(11): 104-105+118 .
23.	杨燕炜，苏义坤，苏伟胜，何廷全. 基于无人机系统的高速公路边坡数据采集模式研究. 森林工程. 2022(02): 140-145 .
24.	马明康，缪海宾，王丹. 基于安全监测与预警系统的边坡稳定性研究. 煤矿机械. 2022(05): 29-32 .
25.	孙泽信，段举举，张安银. 基于物联网的自动化监测系统在地质灾害监测中的应用. 地质学刊. 2022(01): 60-66 .
26.	卢世杰，王海峰，韩微微. 公路高填方路堤稳定性监测设计探讨. 路基工程. 2022(03): 18-22 .
27.	陈昌富，李伟，张嘉睿，廖佳卉，吕晓玺. 山区公路边坡工程智能分析与设计研究进展. 湖南大学学报(自然科学版). 2022(07): 15-31 .
28.	晏务强. 深层位移自动化监测技术在公路边坡（滑坡）治理工程中的应用. 产业科技创新. 2022(02): 62-64 .
29.	刘雪梅，刘焕军. GNSS技术在地质灾害安全监测预警系统中的应用. 世界有色金属. 2022(11): 10-12 .
30.	张振威，刘滋源，张帅. 自动化监测预警系统在滑坡监测中的应用. 地理空间信息. 2022(09): 110-112 .
31.	张龙，白旭光，田腾飞，杨御博，汤玉兵. 基于物联网的公路工程边坡智能动态监测系统研究. 公路. 2022(09): 122-127 .
32.	周波，唐桂彬. 徕卡测量机器人的公路边坡监测研究. 自动化与仪器仪表. 2022(09): 206-210 .
33.	兰素恋，潘前，张黎明. 自动化监测预警系统在路基边坡中的应用. 西部交通科技. 2022(09): 17-20 .
34.	赵帅，王胜，杨淑娟，崔维久. 基于GNSS技术的结构位移监测应用研究进展. 施工技术(中英文). 2022(21): 6-10+16 .
35.	赵昕，范红英，张浩，米国兴，赵毅. BIM在滑坡智能监测中的应用研究. 工程勘察. 2022(12): 12-16 .
36.	傅炎发. GNSS技术在莆田至炎陵高速公路中的应用效果评价. 江西建材. 2022(11): 107-108 .
37.	张靓. 一种基于5G+北斗的边坡监测解决方案. 长江信息通信. 2021(05): 156-158 .
38.	凌建明，张玉，满立，李想. 公路边坡智能化监测体系研究进展. 中南大学学报(自然科学版). 2021(07): 2118-2136 .
39.	张艳艳，郭朋朋. 基于物联网的公路边坡危岩体监控预警系统. 自动化与仪器仪表. 2021(10): 144-147 .
40.	李海成. 水电工程边坡锚杆支护位移自动监测技术研究. 自动化与仪器仪表. 2021(12): 97-100 .

Other cited types(18)

Get Citation

PDF

XML

Article views (3136) PDF downloads (839) Cited by(58)

Automatic monitoring system on highway slopes based on GNSS technique

Abstract

References

Related Articles

Cited by

Periodical cited type(40)

Other cited types(18)

Catalog

Links：

Automatic monitoring system on highway slopes based on GNSS technique

Abstract

References

Related Articles

Cited by

Periodical cited type(40)

Other cited types(18)

Catalog

Links：

Export File

Citation

Format

Content