Rainfall Induced Landslide Monitoring System

2021 ◽  
Vol 9 (1) ◽  
pp. 19
Author(s):  
Swapnil Bagwari ◽  
Anita Gehlot ◽  
Rajesh Singh ◽  
Amit Kumar Thakur
Keyword(s):  
Monitoring System ◽  
Landslide Monitoring

scholarly journals Design of Early Warning System Based on Wireless Sensor Network

2018 ◽  
Vol 14 (01) ◽  
pp. 66
Author(s):  
Gan Bo ◽  
Jin Shan
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Monitoring System ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Sensor Data ◽  
Landslide Monitoring ◽  
Remote Transmission ◽  
Sensor Data Acquisition

In order to solve the shortcomings of the landslide monitoring technology method, a set of landslides monitoring and early warning system is designed. It can achieve real-time sensor data acquisition, remote transmission and query display. In addition, aiming at the harsh environment of landslide monitoring and the performance requirements of the monitoring system, an improved minimum hop routing protocol is proposed. It can reduce network energy consumption, enhance network robustness, and improve node layout and networking flexibility. In order to realize the remote transmission of data, GPRS wireless communication is used to transmit monitoring data. Combined with remote monitoring center, real-time data display, query, preservation and landslide warning and prediction are realized. The results show that the sensor data acquisition system is accurate, the system is stable, and the node network is flexible. Therefore, the monitoring system has a good use value.

Image-based landslide monitoring system

2011 ◽  
Author(s):  
Ming-Chih Lu ◽  
Tien-Yu Tang ◽  
Cheng-Pei Tsai ◽  
Wei-Yen Wang ◽  
I-Hsum Li
Keyword(s):  
Monitoring System ◽  
Landslide Monitoring

Application of Optical Fiber Sensing Real-Time Monitoring Technology Using in Ripley Landslide

2014 ◽  
Vol 610 ◽  
pp. 199-204 ◽  
Author(s):  
Xiao Fei Zhang ◽  
Zhong Hu Lv ◽  
Xian Wei Meng ◽  
Fan Jiang ◽  
Qing Zhang
Keyword(s):  
Optical Fiber ◽  
Real Time ◽  
Monitoring System ◽  
Landslide Monitoring ◽  
Real Time Monitoring ◽  
The Real ◽  
Fiber Sensing ◽  
Sensing Technology ◽  
Database Technology ◽  
Optical Fiber Sensing

Nowadays, fiber optic technology has been used in sensing. Using the distributed optical fiber sensing technology in the landslide monitoring, the linear strain distribution information of the whole landslide can be obtained, and adopting the Fiber Bragg Grating sensing technology in the landslide monitoring, the key pot strain and displacement information can be gained. This paper firstly reviews the basic principle of optical fiber sensing, and then describes the optical fiber sensing real-time monitoring system by combining with FBG technology, BOTDR technology, database technology and web server technology, and finally presents a field application experiment using the real-time monitoring system in Ripley landslide in Canada. The experiment indicated that the real-time monitoring system can be realized real-time monitoring of FBG and BOTDR for landslide, and the experience can be extended to other landslide.

LZER0: GNSS cost-effective real-time positioning applied to landslide monitoring

2020 ◽  
Author(s):  
Lavinia Tunini ◽  
David Zuliani ◽  
Paolo Fabris ◽  
Marco Severin
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Low Cost ◽  
Cost Effective ◽  
Single Frequency ◽  
Landslide Monitoring ◽  
Natural Risk ◽  
Near Surface ◽  
Landslide Event ◽  
Wide Range

<p>The Global Navigation Satellite Systems (GNSS) provide a globally extended dataset of primordial importance for a wide range of applications, such as crustal deformation, topographic measurements, or near surface processes studies. However, the high costs of GNSS receivers and the supporting software can represent a strong limitation for the applicability to landslide monitoring. Low-cost tools and techniques are strongly required to face the plausible risk of losing the equipment during a landslide event.</p><p>Centro di Ricerche Sismologiche (CRS) of Istituto Nazionale di Oceanografia e di Geofisica Sperimentale OGS in collaboration with SoluTOP, in the last years, has developed a cost-effective GNSS device, called LZER0, both for post-processing and real-time applications. The aim is to satisfy the needs of both scientific and professional communities which require low-cost equipment to increase and improve the measurements on structures at risk, such as landslides or buildings, without losing precision.</p><p>The landslide monitoring system implements single-frequency GNSS devices and open source software packages for GNSS positioning, dialoguing through Linux shell scripts. Furthermore a front-end web page has been developed to show real-time tracks. The system allows measuring real-time surface displacements with a centimetre precision and with a cost ten times minor than a standard RTK GPS operational system.</p><p>This monitoring system has been tested and now applied to two landslides in NE- Italy: one near Tolmezzo municipality and one near Brugnera village. Part of the device development has been included inside the project CLARA 'CLoud plAtform and smart underground imaging for natural Risk Assessment' funded by the Italian Ministry of Education, University and Research (MIUR).</p>

Early-Warning Landslide Monitoring System

2018 ◽  
pp. 63-85
Author(s):  
Alexander Ginzburg ◽  
Valentina Svalova ◽  
Alexey Nikolaev ◽  
Anatoliy Manukin ◽  
Vladimir Savosin
Keyword(s):  
Monitoring System ◽  
Early Warning ◽  
Landslide Monitoring

scholarly journals Application of Video Recognition Technology in Landslide Monitoring System

2018 ◽  
Vol 153 ◽  
pp. 07001
Author(s):  
Meng Qingjia ◽  
Wang Chenhui
Keyword(s):  
Monitoring System ◽  
Remote Monitoring ◽  
Video Monitoring ◽  
Video Frame ◽  
Landslide Monitoring ◽  
Monitoring And Control ◽  
Remote Monitoring System ◽  
Video Recognition ◽  
Disaster Monitoring ◽  
And Control

The video recognition technology is applied to the landslide emergency remote monitoring system. The trajectories of the landslide are identified by this system in this paper. The system of geological disaster monitoring is applied synthetically to realize the analysis of landslide monitoring data and the combination of video recognition technology. Landslide video monitoring system will video image information, time point, network signal strength, power supply through the 4G network transmission to the server. The data is comprehensively analysed though the remote man-machine interface to conduct to achieve the threshold or manual control to determine the front-end video surveillance system. The system is used to identify the target landslide video for intelligent identification. The algorithm is embedded in the intelligent analysis module, and the video frame is identified, detected, analysed, filtered, and morphological treatment. The algorithm based on artificial intelligence and pattern recognition is used to mark the target landslide in the video screen and confirm whether the landslide is normal. The landslide video monitoring system realizes the remote monitoring and control of the mobile side, and provides a quick and easy monitoring technology.

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