Performance of a New Low-Cost GPS Sensor with an Average Process for Slope Displacement Monitoring

2021 ◽  
pp. 119-126
Author(s):  
Nguyen Trung Kien ◽  
Norikazu Shimizu
Keyword(s):  
Low Cost ◽  
Average Process ◽  
Displacement Monitoring ◽  
Slope Displacement

Application of Slope Safety Automatic Monitoring Technology in the Project of Road No.1 in Republic of Congo

2012 ◽  
Vol 256-259 ◽  
pp. 1429-1433
Author(s):  
Pan Yang ◽  
Shu Dong Zhang ◽  
Jun Mei Guo ◽  
Cheng Xuan Ma ◽  
You Cheng Shen ◽  
...  
Keyword(s):  
Real Time ◽  
Slip Surface ◽  
Automatic Monitoring ◽  
Displacement Monitoring ◽  
Republic Of Congo ◽  
Local Climate ◽  
Wireless Data Transmission ◽  
Surface Prediction ◽  
Slope Displacement ◽  
Slope Safety

Slope safety has been well concerned by the society in recent years. Slope displacement monitoring is an important subject of slope safety and its research has been developing rapidly. In this article, we draw up a pilot slope safety automatic monitoring scheme for the project of Road No.1 in Republic of Congo, which depends on real-time displacement monitoring. This scheme uses fixed inclinometer as its main appliance and achieves wireless data transmission. During this process, we considered both local climate and the characteristics of high slopes along the road, and finished a series of work including monitoring position selection, critical slip surface prediction and finally monitoring system establishment. Our ultimate objective is to achieve real-time monitoring of slope situation, and furthermore set up the relationship among slope displacement, rainfall and time. With the derived relationship we would be able to forecast the development of slope deformation and possible danger caused by the slopes.

Displacement monitoring method based on laser projection to eliminate the effect of rotation angle

2019 ◽  
Vol 22 (15) ◽  
pp. 3319-3327
Author(s):  
Peng Liu ◽  
Chengcheng Liu ◽  
Lixiao Zhang ◽  
Xuefeng Zhao
Keyword(s):  
Semiconductor Lasers ◽  
Monitoring System ◽  
Rotation Angle ◽  
Coupling Effect ◽  
Low Cost ◽  
Displacement Monitoring ◽  
Monitoring Point ◽  
Monitoring Method ◽  
Laser Technology ◽  
Practical Engineering

Currently, laser technology has become increasingly mature. Semiconductor lasers have the characteristics of small size, long indication distance, long life, and low cost. Therefore, many studies regard them as the launching devices of monitoring system and fix them at the monitoring points of structures to reflect the displacements of the monitoring points through the spots produced by them. However, this method also exhibits a drawback, that is, this method can only be applied to the case where only displacement is generated at the monitoring point and no rotation angle is generated. If the rotation occurs at the monitoring point, the spot displacement is caused by the coupling effect of the displacement and rotation angle at the monitoring point, which will affect the monitoring results significantly. In this article, a method is proposed to decouple the effect of the displacement and angle and eliminate the influence of the angle sufficiently, by projecting the laser spots onto two screens. This method can significantly improve the application scope of the monitoring system and provide the possibility for its application in practical engineering.

scholarly journals Study on Bridge Displacement Monitoring Algorithms Based on Multi-Targets Tracking

2020 ◽  
Vol 12 (1) ◽  
pp. 9
Author(s):  
Jiajia Wang ◽  
Guangming Li
Keyword(s):  
Target Tracking ◽  
Digital Image ◽  
Low Cost ◽  
Image Correlation ◽  
Displacement Monitoring ◽  
Full Account ◽  
Bridge Health Monitoring ◽  
Multi Target Tracking ◽  
Tracking Technology ◽  
Monitoring Algorithm

Bridge displacement measurement is an important area of bridge health monitoring, which can directly reflect whether the deformation of bridge structure exceeds its safety permission. Target tracking technology and Digital Image Correlation (DIC) are two fast-developing and well-known methods for non-contact bridge displacement monitoring in Digital Image Processing (DIP) methods. The former’s cost of erecting detection equipment is too large for bridges with a large span that need to locate more multi-targets because of its tracking only one target on a camera while the latter is not suitable for remote detection because it requires very high detection conditions. After investigating the evolution of bridge displacement monitoring, this paper proposes a bridge displacement monitoring algorithm based on multi-target tracking. The algorithm takes full account of practical application and realizes accuracy, robustness, real-time, low-cost, simplicity, and self-adaptability, which sufficiently adapts the bridge displacement monitoring in theory.

scholarly journals Selecting the Best Image Pairs to Measure Slope Deformation

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4721
Author(s):  
Wentao Yang
Keyword(s):  
Optical Sensors ◽  
Low Cost ◽  
Slope Deformation ◽  
Optical Remote Sensing ◽  
Optical Images ◽  
Large Numbers ◽  
Image Pairs ◽  
Slope Displacement ◽  
Selection Of ◽  
Sentinel 2

Optical remote sensing images can be used to monitor slope deformation in mountain regions. Abundant optical sensors onboard various platforms were designed to provide increasingly high spatial–temporal resolution images at low cost; however, finding the best image pairs to derive slope deformation remains difficult. By selecting a location in the east Tibetan Plateau, this work used the co-registration of optically sensed images and correlation (COSI-Corr) method to analyze 402 Sentinel-2 images from August 2015 to February 2020, to quantify temporal patterns of uncertainty in deriving slope deformation. By excluding 66% of the Sentinel-2 images that were contaminated by unfavorable weather, uncertainties were found to fluctuate annually, with the least uncertainty achieved in image pairs of similar dates in different years. Six image pairs with the least uncertainties were selected to derive ground displacement for a moving slope in the study area. Cross-checks among these image pairs showed consistent results, with uncertainties less than 1/10 pixels in length. The findings from this work could help in the selection of the best image pairs to derive reliable slope displacement from large numbers of optical images.

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