scholarly journals Research on Monitoring Method of Remote Deformation and System Application Based on Image

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yu Zhang ◽  
Ruofei Zhong ◽  
Yongrong Li ◽  
Haili Sun
Keyword(s):  
Monitoring System ◽  
High Precision ◽  
Engineering Application ◽  
Deformation Monitoring ◽  
Image Feature ◽  
Deformation Analysis ◽  
Monitoring Cost ◽  
Scale Invariant ◽  
Monitoring Method ◽  
Reference Target

The development of information technology and computer science has put forward higher requirements on the intelligence of deformation monitoring. We study a method based on image deformation analysis, which uses Scale-Invariant Feature Transform (SIFT) to extract image feature points after preprocessing the acquired images, applies All-Pixels Matching (APM) method to the sequence images to do further high-precision matching to achieve the accuracy of subpixels, and finally solves the deformation variables according to the relationship of the real size of the reference target and its pixel. Wavelet analysis and least squares are used to improve the image quality and matching accuracy. Based on this method, we design and develop a new remotely automated deformation monitoring system. In this paper, we introduce the algorithm principle of deformation analysis, the integration of the system, and the engineering application example of the monitoring system. The monitoring accuracy of the system satisfying 0.1 mm within 10 m and 0.8 mm within 60 m is verified in the simultaneous comparison observation according to the high-precision total station, which illustrates the effectiveness of the present deformation analysis method and monitoring system and also has the characteristics of low monitoring cost and high degree of automation.

The Application of Combined GPS.RTK with Electronic Level on High-Precision Surface Monitoring

2013 ◽  
Vol 718-720 ◽  
pp. 1191-1194
Author(s):  
Yang Yang Li ◽  
Wei Jia Guo ◽  
Hao Qiang Zhang ◽  
Zhong Ju Wei
Keyword(s):  
High Precision ◽  
Coal Mine ◽  
Surface Deformation ◽  
Deformation Monitoring ◽  
Mining Method ◽  
Monitoring Method ◽  
Electronic Level ◽  
Working Face ◽  
Surface Monitoring ◽  
Measurement Area

2351 working face of Daizhuang coal mine is paste filling working face, its mining method is full mining and full backfilling. It is expected that its surface deformation is very small and traditional surface deformation monitoring method is difficult to meet high-precision demand. In order to meet the high precision of measurement area in Daizhuang coal mine, the combination of GPS.RTK and electronic level were studied to measure filled working face, which has achieved good results.

Laser Scanning Based Growth Analysis of Plants as a New Challenge for Deformation Monitoring

2016 ◽  
Vol 10 (1) ◽  
Author(s):  
Jan Dupuis ◽  
Christoph Holst ◽  
Heiner Kuhlmann
Keyword(s):  
Leaf Area ◽  
High Precision ◽  
Laser Scanning ◽  
Leaf Surface ◽  
Leaf Growth ◽  
Spline Approximation ◽  
Point Clouds ◽  
Deformation Monitoring ◽  
Deformation Analysis ◽  
Absolute Size

AbstractNowadays, the areal deformation analysis has become an important task in engineering geodesy. Thereby, not only manmade objects are of high interest, also natural objects, like plant organs, are focused more frequently. Thus, the analysis of leaf growth, i. e. the spatial development of the leaf surface, can be seen as a problem of deformation monitoring. In contrast to classical geodetic tasks, the absolute size of the deformation of the leaf surface is small, but usually great compared to the object size. Due to the optical characteristics of leaf surfaces, the point clouds, commonly acquired with high precision close-up laser scanners, provide a point-to-point distance that is small or equal compared to the measurement accuracy. Thus, the point clouds are usually processed and the leaf area is derived from a triangulation-based surface representation (mesh), resulting in a significant uncertainty of area calculation. In this paper, we illustrate the lacks of the mesh-based leaf area calculation. Using high precision gauge blocks as well as a number of tomato leaves, uncertainties of the area derivation are revealed and evaluated. The application of a B-spline approximation illustrates the advantages of an approximation-based approach and introduces the prospect for further research.

Application of FBG Sensor in Shaft Structural Deformation Monitoring of JINCHUAN Mine No.3

2011 ◽  
Vol 243-249 ◽  
pp. 5420-5426 ◽  
Author(s):  
Zeng Hui Liu ◽  
Qian Gao ◽  
Zhi Qiang Yang
Keyword(s):  
Monitoring System ◽  
Practical Experience ◽  
Structural Condition ◽  
Deformation Monitoring ◽  
Reinforced Concrete Beams ◽  
Structural Deformation ◽  
Mine Shaft ◽  
Monitoring Method ◽  
Shaft Deformation

In order to effectively evaluate the security status of shaft and to make timely and accurate forecasts before the shaft break disaster, lead into fiber brag grating technology in the mine shaft deformation monitoring. Designing laboratory experiments verified FBG sensing the reliability of deformation and strain transfer law in reinforced concrete beams, while provide practical experience to the FBG sensors installed on the actual shaft structure. According to the structural condition of the main shaft of JINCHUAN Mine No.3, designed 8 monitoring sections in different level ingate upper and lower and installed fiber optic grating sensors, forming a fully automatic real-time and long-term deformation monitoring system. Initial monitoring results indicate that only the No.4 (down) sensors was failure, but the other seven monitoring sections can effectively detect the corresponding strain, and the monitoring system was stable. The fiber optical sensing technology has broad application prospects in the state's long-term monitoring deformation of the mine project, for the mine shaft deformation monitoring provides a more reliable monitoring method.

Structural displacement and strain monitoring based on the edge detection operator

2016 ◽  
Vol 20 (2) ◽  
pp. 191-201 ◽  
Author(s):  
Wei Lu ◽  
Yan Cui ◽  
Jun Teng
Keyword(s):  
Edge Detection ◽  
Image Features ◽  
Image Feature ◽  
Monitoring Method ◽  
Strain Monitoring ◽  
Morphological Operator ◽  
Filtering Effect ◽  
Circular Target ◽  
Plane Displacement ◽  
The Cost

To decrease the cost of instrumentation for the strain and displacement monitoring method that uses sensors as well as considers the structural health monitoring challenges in sensor installation, it is necessary to develop a machine vision-based monitoring method. For this method, the most important step is the accurate extraction of the image feature. In this article, the edge detection operator based on multi-scale structure elements and the compound mathematical morphological operator is proposed to provide improved image feature extraction. The proposed method can not only achieve an improved filtering effect and anti-noise ability but can also detect the edge more accurately. Furthermore, the required image features (vertex of a square calibration board and centroid of a circular target) can be accurately extracted using the extracted image edge information. For validation, the monitoring tests for the structural local mean strain and in-plane displacement were designed accordingly. Through analysis of the error between the measured and calculated values of the structural strain and displacement, the feasibility and effectiveness of the proposed edge detection operator are verified.

scholarly journals A New Approach for Cylindrical Steel Structure Deformation Monitoring by Dense Point Clouds

2021 ◽  
Vol 13 (12) ◽  
pp. 2263
Author(s):  
Dongfeng Jia ◽  
Weiping Zhang ◽  
Yuhao Wang ◽  
Yanping Liu
Keyword(s):  
Steel Structure ◽  
Steel Structures ◽  
Point Clouds ◽  
Deformation Monitoring ◽  
Deformation Analysis ◽  
Relative Deformation ◽  
Structure Deformation ◽  
Single Time ◽  
Cylindrical Steel ◽  
Cylinder Fitting

As fundamental load-bearing parts, the cylindrical steel structures of transmission towers relate to the stability of the main structures in terms of topological relation and performance. Therefore, the periodic monitoring of a cylindrical steel structure is necessary to maintain the safety and stability of existing structures in energy transmission. Most studies on deformation analysis are still focused on the process of identifying discrepancies in the state of a structure by observing it at different times, yet relative deformation analysis based on the data acquired in single time has not been investigated effectively. In this study, the piecewise cylinder fitting method is presented to fit the point clouds collected at a single time to compute the relative inclination of a cylindrical steel structure. The standard deviation is adopted as a measure to evaluate the degree of structure deformation. Meanwhile, the inclination rate of each section is compared with the conventional method on the basis of the piecewise cylinder fitting parameters. The validity and accuracy of the algorithm are verified by real transmission tower point cloud data. Experimental results show that the piecewise cylinder fitting algorithm proposed in this research can meet the accuracy requirements of cylindrical steel structure deformation analysis and has high application value in the field of structure deformation monitoring.

scholarly journals Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yunjeong Yang ◽  
Ji Eun Kim ◽  
Hak Jin Song ◽  
Eun Bin Lee ◽  
Yong-Keun Choi ◽  
...  
Keyword(s):  
Water Content ◽  
Monitoring System ◽  
Standing Wave ◽  
Magnetic Particles ◽  
Experimental Plant ◽  
Invasive Monitoring ◽  
Monitoring Method ◽  
Non Invasive ◽  
Content Variation ◽  
Stem Water

Abstract Background Water content variation during plant growth is one of the most important monitoring parameters in plant studies. Conventional parameters (such as dry weight) are unreliable; thus, the development of rapid, accurate methods that will allow the monitoring of water content variation in live plants is necessary. In this study, we aimed to develop a non-invasive, radiofrequency-based monitoring system to rapidly and accurately detect water content variation in live plants. The changes in standing wave ratio (SWR) caused by the presence of stem water and magnetic particles in the stem water flow were used as the basis of plant monitoring systems. Results The SWR of a coil probe was used to develop a non-invasive monitoring system to detect water content variation in live plants. When water was added to the live experimental plants with or without illumination under drought conditions, noticeable SWR changes at various frequencies were observed. When a fixed frequency (1.611 GHz) was applied to a single experimental plant (Radermachera sinica), a more comprehensive monitoring, such as water content variation within the plant and the effect of illumination on water content, was achieved. Conclusions Our study demonstrated that the SWR of a coil probe could be used as a real-time, non-invasive, non-destructive parameter for detecting water content variation and practical vital activity in live plants. Our non-invasive monitoring method based on SWR may also be applied to various plant studies.

Study on Fiber-Reinforced Laminated Composite Textile Tearing Behavior and Strength Prediction

2014 ◽  
Vol 651-653 ◽  
pp. 1370-1373
Author(s):  
Yun Chao Gu ◽  
Long Bin Liu ◽  
Shuai Cao ◽  
Hou Di Xiao ◽  
Ming Yun Lv
Keyword(s):  
Engineering Application ◽  
Laminated Composite ◽  
Initial Crack ◽  
Strength Prediction ◽  
Deformation Analysis ◽  
Fiber Reinforced ◽  
Mechanics Performance ◽  
Envelope Material ◽  
Safety And Stability ◽  
Tearing Strength

The tearing behavior of fiber-reinforced laminated composite textile plays the key role in the decision of mechanics performance of high altitude airship envelop material, even directly deciding its safety and stability. This paper, based on typical woven fabricated fiber yarns’ characteristics of geometry and mechanics, adopts Euler-displacement deformation analysis to explore yarn bundles deformation effects on tearing behavior and strength of envelope material with prefabricated damage and crack. Also, models with prefabricated crack with different size and textile density are respectively built to find factors that affect tearing behavior and strength of envelope material. From tests, it can be observed that the built models for predicting its tearing strength are in conformity with the experimental data. Nonlinear relationship is reflected between the initial crack width or yarn bundles density with tearing strength. Conclusively, the methods and models adopted in this paper provide an effective and innovative mind on tearing behavior and strength of fiber reinforced envelope material and make the foundation for its engineering application.

Ultrasonic Transceiver-Based Structural Deformation Monitoring with Location Ability

2014 ◽  
Vol 721 ◽  
pp. 442-445
Author(s):  
Wei Zheng ◽  
Chun Xian Wu ◽  
Rong Rong Cui
Keyword(s):  
Spatial Relations ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Structural Deformation ◽  
Monitoring Method ◽  
Regional Monitoring ◽  
Space Deformation ◽  
Structural Surface

Regional coverage monitoring for structural deformation remains a challenge for current technologies. A coverage regional monitoring method based on dual ultrasonic transceivers and exhibiting deformation location ability is presented. The spatial projecting model of dual ultrasonic beams is established to determine the monitoring scope of the structural surface in space. Deformation location principles are induced by analyzing the spatial relations of the monitoring data of dual ultrasonic transceivers. Finally, an experiment is proposed to illustrate the method.

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