Research on Slope Monitoring and Early Warning System
DOI:
https://doi.org/10.54097/hset.v7i.999Keywords:
Slope safety, Intelligent monitoring, Early warning system designAbstract
In recent years, the problem of slope disease has become increasingly prominent. On the basis of monitoring and early warning, this paper uses the combination of displacement monitoring and limit equilibrium analysis to carry out monitoring and early warning, which avoids the problem of low accuracy of using a single method, and greatly improves the working efficiency of the early warning system. Compared with the lag in the release of traditional monitoring, early warning and forecast information, this paper proposes a method of linkage early warning, summarizes the factors that have a greater impact on the slope stability, and obtains the corresponding forecast information in advance and applies its data to the slope simulation established in advance. The stability changes of the slope can be obtained from the model. If the stability reaches the limit under these conditions, an early warning can be issued before the accident occurs, and sufficient time can be used to take appropriate measures to reduce losses.
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References
Zhou Ming, Qiu Lingyun. Research on high-risk slope deformation monitoring and early warning system. Guangdong Nonferrous Engineering Survey and Design Institute [J]. 2019.
Zhong Yinqian. The relationship between landslide and rainfall and its prediction [J].1998:81-86.
Cina A,Piras M.Performance of low-cost GNSS receiver for landslides monitoring:test and results [J]. Geomatics,Natural Hazards and Risk, 2015, 6(5-7): 497-514.
Xu Dongjun, Chen Congxin, et al. Research on rock slope and landslide prediction [J]. Journal of Rock Mechanics and Engineering, 1999: 369-372.
Mei Tiancan, Zuo Zhi, Jiang Wanggang.Construction of intelligent monitoring and early warning integrated system for dangerous slopes [J]. Wuhan University, 2020.
Li Tianbin, Chen Mingdong, Wang Lansheng.Real-time tracking and forecasting of landslides [M]. Chengdu:Chengdu University of Science and Technology Press, 1999: 4-11.
Jin Yunpeng, He Xiping, Wu Dingbang, etc. Research status and development trend of slope deformation prediction Jiangxi Provincial Institute of Water Resources Planning and Design [J], 2020.
Bi Hangquan. Research on slope monitoring technology based on multi-system PPP [D]. Nanjing: Nanjing University of Science and Technology, 2017.
Zhang Huaan, Liu Yali, Cheng Jiazhi. Design and analysis of a rock slope monitoring system in Jiangsu [J]. Journal of Yancheng Institute of Technology (Natural Science Edition), 2010, 23(3): 66-70.
LUO LH, MA W, ZHANG. Freeze/thaw-induced deformation monitoring and assessment of the slope in permafrost based on terrestrial laser scanner and GNSS [J]. Remote Sensing, 2017, 9(3): 1-20.
Su Aijun. Discussion on landslide forecasting method [J]. 1990: 50-51.
Sun Yanjie. Evaluation of loess building slope stability under rainfall conditions [D]. Xi'an University of Science and Technology, 2018.
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