Monitoring technology of collapse and landslide disasters based on high-precision spatio-temporal information

doi:10.13474/j.cnki.11-2246.2022.0316

Abstract

Abstract: China is a country with frequent geological disasters like landslides, mudslides, and so on, which bring great threats to the property and life safety of our people over the years. For this reason, the early warning of geological disasters has always been a difficult research problem in the emergency direction of China. With the construction and networking of global satellite navigation systems such as BeiDou and GPS, GNSS technology has gradually become an important means to provide spatio-temporal position information. It has the characteristics of real-time data, low power consumption of equipment, convenient construction, and so on, and has formally become an ideal technical means to solve the problems of geological disaster monitoring and early warning. In this paper, based on GNSS spatial and temporal information data including BeiDou and GPS and GLONASS, it constructed a medium-long baseline millimeter-level accuracy landslide monitoring solution method for geological disaster monitoring, and determined the carrier phase solution model of double-difference observation. Finally, with the field application in Xinpu area of Chongqing, it realized the millimeter landslide disaster monitoring and early warning based on high-precision spatio-temporal information. It provided data support for the prediction of geological disasters in this region and technical support for people's production and life.

Key words: high-precision spatio-temporal information, deformation monitoring, medium-long baseline, precise positioning, geological disasters

CLC Number:

P228

HE Wei, ZHANG Lunning, ZENG Lu, ZHAO Qing, YU Guoxin, ZHU Keying, LI Kexin. Monitoring technology of collapse and landslide disasters based on high-precision spatio-temporal information[J]. Bulletin of Surveying and Mapping, 2022, 0(11): 1-7.

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http://tb.chinasmp.com/EN/Y2022/V0/I11/1

References

[1] 何伟,张伦宁,贺成成,等. 地灾监测的大数据信息平台研究及应用[J]. 测绘通报,2019(1):127-131.
[2] LU Xianmin. Research on urban traverse survey technology based on GPS RTK[J]. Science and Technology Information,2011(13):30.
[3] HE Yutong,WANG Jian,LI Hongxiang. Discussion on the application of BeiDou based ultra-long baseline calculation in landslide datum monitoring[J]. Chinese Journal of Geological Disasters and Prevention,2020,31(1):75-78.
[4] XIAO Yugang,JIANG Weiping,CHEN Hua,et al. Millimeter precision deformation monitoring algorithm and implementation of BeiDou satellite navigation system[J]. Journal of Surveying and Mapping,2016,45(1):16-21.
[5] LÜ Daxin. Application of BeiDou satellite navigation and positioning system in safety monitoring of artificial islands[J]. Enterprise Science and Technology and Development,2020(5):113-114.
[6] HOU Haidong,YANG Yanqing,LIU Yao,et al. Application prospect of BeiDou satellite navigation system in deformation monitoring[J]. Surveying and Mapping and Spatial Geographic Information,2015,38(7):142-144.
[7] ZHANG Baocheng, TEUNISSEN-J-G P, ODIJK D,et al. Quick fixation of integer ambiguity in precise single point positioning[J]. Acta Geophysica,2012,55(7):2203-2211.
[8] 丁朋辉. GPS非差相位精密单点定位算法研究与实现[D]. 北京:中国测绘科学研究院,2008.
[9] 刘学习. BDS/GPS组合精密单点定位及其模糊度固定技术与方法研究[D]. 武汉:武汉大学,2018.
[10] ESTEY L H,MEERTENS C M. TEQC:the multi-purpose toolkit for GPS/GLONASS data[J]. GPS Solutions,1999,3(1):42-49.
[11] 孟凡玉. GPS接收机综合检定场的建立及其动态检定方法的实现[D]. 郑州:信息工程大学,2002.
[12] ZHANG Jinbao,WANG Shaomin.Design and implementation of GPS precise single point positioning program[J]. Urban Survey,2009(5):60-62.

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