Overview and prospect of dam deformation monitoring technology

2021 ◽  
Author(s):  
Qianfeng Qin ◽  
Xuefei Bai ◽  
Jingnan Sun ◽  
Fang Li ◽  
Jiajing Zhu ◽  
...  
Keyword(s):  
Deformation Monitoring ◽  
Monitoring Technology ◽  
Dam Deformation

scholarly journals GEOMETRIC ASPECTS EVALUATION OF GNSS CONTROL NETWORK FOR DEFORMATION MONITORING IN THE JATIGEDE DAM REGION

2019 ◽  
Vol 15 (2) ◽  
pp. 167
Author(s):  
Made Ditha Ary Sanjaya ◽  
T. Aris Sunantyo ◽  
Nurrohmat Widjajanti
Keyword(s):  
Least Squares ◽  
Deformation Monitoring ◽  
Network Configuration ◽  
Control Networks ◽  
Quality Of Control ◽  
Least Squares Adjustment ◽  
Standard Deviations ◽  
Dam Deformation ◽  
Gnss Networks

Many factors led to dam construction failure so that deformation monitoring activities is needed in the area of the dam. Deformation monitoring is performed in order to detect a displacement at the control points of the dam. Jatigede Dam deformation monitoring system has been installed and started to operate, but there has been no evaluation of the geometry quality of control networks treated with IGS points for GNSS networks processing. Therefore, this study aims to evaluate the geometric quality of GNSS control networks on deformation monitoring of Jatigede Dam area. This research data includes the GNSS measurements of five CORS Jatigede Dam stations (R01, GG01, GCP04, GCP06, and GCP08) at doy 233 with network configuration scenarios of 12 IGS points on two quadrants (jat1), three quadrants (jat2), and four quadrants (jat3 and jat4). GNSS networks processing was done by GAMIT to obtain baseline vectors, followed by network processing usingparameter method of least squares adjustment. Networks processing with least squares adjustment aims to determine the most optimal  by precision and reliability criterion. Results of this study indicate that network configuration with 12 IGS stations in the two quadrants provides the most accurate coordinates of CORS dam stations. Standard deviations value of CORS station given by jat1 configuration are in the range of 2.7 up to 4.1 cm in X-Z components, whereas standard deviations in the Y component are in the range 5.8 up to 6.9 cm. An optimization assessment based on network strength, precision, and reliability factors shows optimum configuration by jat1.

scholarly journals GPS in the Tailings Dam Deformation Monitoring

2011 ◽  
Vol 26 ◽  
pp. 1648-1657 ◽  
Author(s):  
Wei Li ◽  
Chang Wang
Keyword(s):  
Deformation Monitoring ◽  
Tailings Dam ◽  
Dam Deformation

Automatic Measuring Instrument of Dam Horizontal Deformation Based on Laser Scan Concept

2013 ◽  
Vol 442 ◽  
pp. 372-377
Author(s):  
Jian Yin Lu ◽  
Yun Fei Zhou
Keyword(s):  
Hardware Design ◽  
Deformation Monitoring ◽  
Flow Chart ◽  
Measuring Instrument ◽  
Horizontal Deformation ◽  
Automatic Measuring ◽  
Design Scheme ◽  
Automatic Measuring Instrument ◽  
Dam Deformation

In this paper, a design of an automatic measuring instrument of dam horizontal deformation based on laser scan concept is introduced. According to the demand of the dam deformation monitoring, the design chooses STM32F103CBT6 as the hardware control platform, and the laser scan concept is introduced. The measuring principle, main hardware design scheme and software flow chart are introduced in this paper.

A Method to Determine Unstable Point and its Impact Estimation in Debris-Blocking Dam Monitoringsurvey Network

2011 ◽  
Vol 55-57 ◽  
pp. 698-703
Author(s):  
Da Bing Huang ◽  
Zhi Qiang Yang ◽  
Zhen Shi
Keyword(s):  
Earth Pressure ◽  
Monitoring Network ◽  
Horizontal Displacement ◽  
Approximate Model ◽  
Deformation Monitoring ◽  
Deformation Model ◽  
Observation Data ◽  
Network Stability ◽  
Other Information ◽  
Dam Deformation

The purpose of this paper is to determine the unstable points of debris-blocking dam deformation network and to lay the foundation for later accurate monitoring and data processing, for the reason that the affection of earth pressure and water-level-fluctuation lead to increased instability to debris-blocking dam. The author signed one horizontal displacement deformation monitoring network, measured two groups data by changing some point’s horizontal displacement with man, judged the point’s stability of the network by the method of mean gap and obtained the deformation model, and analysis the model sensitivity. The results is that the deformation network stability meet the design requirements through application the method in Fengjie Debris-blocking dam which blocked the stones debris for Shirushan tunnel, the actual displacement amount had been proven similar as the result with the method; It is concluded that this method have some practical value in deformation monitoring because it can construct the approximate model by direct observation data, which is smaller rely on other information.

scholarly journals Dam Deformation Monitoring Data Analysis Using Space-Time Kalman Filter

2016 ◽  
Vol 5 (12) ◽  
pp. 236 ◽  
Author(s):  
Wujiao Dai ◽  
Ning Liu ◽  
Rock Santerre ◽  
Jiabao Pan
Keyword(s):  
Kalman Filter ◽  
Data Analysis ◽  
Space Time ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Dam Deformation

The Research of the Deformation Monitoring System Based on GIS/GPS Integration

2011 ◽  
Vol 243-249 ◽  
pp. 5828-5831
Author(s):  
Hai Ping Xiao ◽  
Lan Lan Chen
Keyword(s):  
Monitoring System ◽  
Development Trend ◽  
Technical Support ◽  
Deformation Monitoring ◽  
Gis Technology ◽  
Monitoring Technology ◽  
Key Technology ◽  
Important Development ◽  
Gis Integration ◽  
Effective Integration

The research of "3S" integration of the deformation monitoring system, is one of the important development trend of the deformation monitoring technology. This text analyzed the key technology of the application of GPS/GIS integration, realized the effective integration of the mass of datas of GPS and GIS technology, and to establish the GPS/GIS integration of deformation monitoring system provides important technical support.

Analysis on the Dynamical Law of the Dam's Displacement by the Concept of Time-Displacement

2012 ◽  
Vol 212-213 ◽  
pp. 974-978
Author(s):  
Qing Zhao ◽  
Xing Dong Zhou
Keyword(s):  
Single Point ◽  
Deformation Monitoring ◽  
Displacement Rate ◽  
Monitoring Point ◽  
Monitoring Period ◽  
Decision Tree Classification ◽  
Long Time ◽  
Dam Deformation ◽  
Different Levels ◽  
Rate Threshold

In the analysis of dam displacement data, mostly, a single point is used for calculation. Based on the concept named Time-displacement, this paper proposes a new calculation method with multi-point, which can make up the scarcity of analysis on the data of the dam deformation for a long time. Based on the concept of Time-displacement, the method of building the multi-point model is as follows: firstly, according to the deformation monitoring period, displacement data of all monitoring points on the deformation body, can be converted into the displacement rate. And based on displacement rate value, an appropriate rate threshold can be chosen; the rate threshold based on the experience can be used many also. Then the number of every monitoring point exceeding the rate threshold throughout the monitoring period can be recorded, and according to the number, the monitoring points’ Time-displacement could be divided into different levels. If the number of monitoring points on the deformation body is less, the interpolation points would be laid along the direction of the original monitoring sites. By the method of decision tree classification, the interpolation points’ Time-displacement could be figured out. Finally, with the original monitoring points and the interpolation points, the figure about deformation body’s Time-displacement could be drawn, which can reflect the displacement situation about the deformation body more dynamically.

scholarly journals A Fractal Prediction Method for Safety Monitoring Deformation of Core Rockfill Dams

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Liang Pei ◽  
Jiankang Chen ◽  
Jingren Zhou ◽  
Huibao Huang ◽  
Zhengjun Zhou ◽  
...  
Keyword(s):  
Fractal Dimension ◽  
Prediction Method ◽  
Safety Monitoring ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Dimension Theory ◽  
Deformation Prediction ◽  
The Core ◽  
Dam Deformation ◽  
And Control

Deformation mechanism in the core rockfill dams with heavy load and high-stress level is difficult to predict and control, which is one of the key problems to be solved in the dam operation safety management and control. Aiming at the large error problems obtained by the parameter-based functional models (regression model, grey theory model, etc.) in the deformation prediction of the core rockfill dams, a fractal prediction method and its technical process by combining the variable dimension fractal dimension and the "metabolism" of prediction data are proposed through analyzing the fractal adaptability and deformation characteristics of original monitoring data based on the resealed-range (R/S) method and fractal dimension theory. It effectively solves the error in the process of constant dimension fractal accumulation and transformation greatly in dam deformation prediction and provides a new way for dam safety monitoring deformation prediction and early warning. The trend analysis of deformation monitoring data of the Pubugou core rockfill dam and the deformation prediction show that the fractal prediction information of dam deformation has a good corresponding relationship with its physical causes, which is in line with the actual deformation trend and operation state of the dam. Compared with the traditional stepwise regression method, the prediction results obtained by the proposed method in this paper are of high accuracy, implying that the improved fractal prediction of dam deformation is effective and the Hurst fractal index is applicable in the evaluation of the dam deformation trend.

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