scholarly journals Application of Structural Deformation Monitoring Based on Close-Range Photogrammetry Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jun Hu ◽  
Ensheng Liu ◽  
Jiayu Yu
Keyword(s):  
Coordinate System ◽  
Linear Transformation ◽  
Measurement Methods ◽  
Deformation Monitoring ◽  
Structural Deformation ◽  
Measurement Point ◽  
Measuring Point ◽  
Close Range Photogrammetry ◽  
Close Range ◽  
Load Action

The problem of structural deformation monitoring has always been a research hotspot in engineering architecture. Research on structural deformation monitoring is the main way to solve the risk of engineering construction. Based on using close-range photogrammetry technology to monitor structural deformation, combining with image recognition technology to collect and process image data, and using the conditions of direct linear transformation and collinear equation to calculate based on the extracted coordinates of the measuring point, finally, according to the coordinates of the measuring point and the deflection value of the bridge structure, the study is carried out. Experiment: first, five sets of data are used to calibrate the close-range photogrammetry equipment of measurement point accuracy are analyzed, then the bridge piers and the measurement point coordinates, the lasso, under different load on the accuracy of close-range photogrammetry technology is analyzed, according to the relevant data of the error of the close-range photogrammetry technology are analyzed, and through the calculation of different measurement methods to analyze the direct linear transformation manifested in the article. The final results show that the X-axis coordinate range of the measured points in the auxiliary spatial coordinate system is 25∼40, Y-axis coordinate range is 8∼36, and Z-axis coordinate range is 10∼35. The coordinates of measuring points of bridge cables are distributed in the fourth quadrant of the spatial coordinate system. The accuracy values of all coordinates of the measuring points under the close-range photogrammetry equipment are less than 0.1 mm, indicating that the close-range photogrammetry equipment has a good effect on the calibration of measuring points, and the error generated when the load action of each measuring point of the bridge cable is 10 N is greater than that generated when the load action is 20 N. In different calculation and measurement methods, the results obtained by total station measurement and calculation method are reduced by about 0.04∼0.07 m compared with the actual value; the results obtained by direct linear transformation method are increased by about 0.02∼0.04 m compared with the actual value; and the results obtained by other measurement and calculation methods are increased by about 0.04∼0.06 m compared with the actual value.

Using Close-Range Photogrammetry to Measure Pavement Texture Characteristics and Predict Pavement Friction

2020 ◽  
Vol 2674 (10) ◽  
pp. 794-805
Author(s):  
Mohammad Al-Assi ◽  
Emad Kassem ◽  
Richard Nielsen
Keyword(s):  
Friction Model ◽  
Measurement Methods ◽  
Excellent Correlation ◽  
Close Range Photogrammetry ◽  
Pavement Surface ◽  
Texture Parameters ◽  
Texture Characteristics ◽  
Close Range ◽  
Friction Measurements ◽  
Pavement Friction

Pavement friction measurements are collected and used to assess the functional characteristics of pavements to ensure an adequate level of friction. There are several factors that affect pavement friction including the properties of the tire rubber materials and pavement surface texture characteristics. This study utilized the close-range photogrammetry (CRP) technique to measure the pavement macrotexture and microtexture. Texture parameters were calculated from the collected and analyzed images of the pavement surface. The results of the CRP texture measurements were compared with typical measurement methods. The CRP texture measurements had excellent correlation with the measurement methods used in this study; however, the CRP offers a simple and accurate, yet inexpensive, alternative to the current methods used to measure surface macrotexture and microtexture. In addition, the CRP texture parameters were incorporated in the Persson friction model to predict skid friction as a function of rubber properties. The results demonstrated an excellent correlation between measured and predicted friction. This study greatly simplified the texture parameter calculations needed in the Persson friction model with good accuracy.

scholarly journals Structure from Motion Point Clouds for Structural Monitoring

2019 ◽  
Vol 11 (16) ◽  
pp. 1940 ◽  
Author(s):  
Fausto Mistretta ◽  
Giannina Sanna ◽  
Flavio Stochino ◽  
Giuseppina Vacca
Keyword(s):  
Structure From Motion ◽  
Point Clouds ◽  
Structural Deformation ◽  
Beam Loading ◽  
Close Range Photogrammetry ◽  
Laser Scanners ◽  
Dense Point ◽  
Close Range ◽  
Bending Loading ◽  
Geometric Primitives

Dense point clouds acquired from Terrestrial Laser Scanners (TLS) have proved to be effective for structural deformation assessment. In the last decade, many researchers have defined methodology and workflow in order to compare different point clouds, with respect to each other or to a known model, assessing the potentialities and limits of this technique. Currently, dense point clouds can be obtained by Close-Range Photogrammetry (CRP) based on a Structure from Motion (SfM) algorithm. This work reports on a comparison between the TLS technique and the Close-Range Photogrammetry using the Structure from Motion algorithm. The analysis of two Reinforced Concrete (RC) beams tested under four-points bending loading is presented. In order to measure displacement distributions, point clouds at different beam loading states were acquired and compared. A description of the instrumentation used and the experimental environment, along with a comprehensive report on the calculations and results obtained is reported. Two kinds of point clouds comparison were investigated: Mesh to mesh and modeling with geometric primitives. The comparison between the mesh to mesh (m2m) approach and the modeling (m) one showed that the latter leads to significantly better results for both TLS and CRP. The results obtained with the TLS for both m2m and m methodologies present a Root Mean Square (RMS) levels below 1 mm, while the CRP method yields to an RMS level of a few millimeters for m2m, and of 1 mm for m.

scholarly journals Evaluation of Long-Range Mobile Mapping System (MMS) and Close-Range Photogrammetry for Deformation Monitoring. A Case Study of Cortes de Pallás in Valencia (Spain)

2020 ◽  
Vol 10 (19) ◽  
pp. 6831
Author(s):  
Francesco Di Stefano ◽  
Miriam Cabrelles ◽  
Luis García-Asenjo ◽  
José Luis Lerma ◽  
Eva Savina Malinverni ◽  
...  
Keyword(s):  
Long Range ◽  
New Technologies ◽  
3D Models ◽  
Deformation Monitoring ◽  
Mobile Mapping ◽  
Close Range Photogrammetry ◽  
Mapping System ◽  
Mobile Mapping System ◽  
Close Range ◽  
Landslide Deformation

This contribution describes the methodology applied to evaluate the suitability of a Long-Range Mobile Mapping System to be integrated with other techniques that are currently used in a large and complex landslide deformation monitoring project carried out in Cortes de Pallás, in Valencia (Spain). Periodical geodetic surveys provide a reference frame realized by 10 pillars and 15 additional check points placed in specific points of interest, all with millimetric accuracy. The combined use of Close-Range Photogrammetry provides a well-controlled 3D model with 1–3 cm accuracy, making the area ideal for testing new technologies. Since some zones of interest are usually obstructed by construction, trees, or lamp posts, a possible solution might be the supplementary use of dynamic scanning instruments with the mobile mapping solution Kaarta Stencil 2 to collect the missing data. However, the reliability of this technology has to be assessed and validated before being integrated into the existing 3D models in the well-controlled area of Cortes de Pallás. The results of the experiment show that the accuracy achieved are compatible with those obtained from Close-Range Photogrammetry and can also be safely used to supplement image-based information for monitoring with 3–8 cm overall accuracy.

scholarly journals CLOSE-RANGE PHOTOGRAMMETRY METHOD FOR SF6 GAS INSULATED LINE (GIL) DEFORMATION MONITORING

2021 ◽  
Vol XLIII-B2-2021 ◽  
pp. 503-510
Author(s):  
K. N. Fauzan ◽  
D. Suwardhi ◽  
A. Murtiyoso ◽  
I. Gumilar ◽  
T. P. Sidiq
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Field Data ◽  
Planning Process ◽  
Deformation Monitoring ◽  
Technical Data ◽  
Close Range Photogrammetry ◽  
Observation Methods ◽  
Average Accuracy ◽  
Close Range

Abstract. Close-Range Photogrammetry (CRP) technology advanced rapidly along with the development of camera sensors. CRP has many advantages over other methods in terms of technical data acquisition, product quality, and cost. Because of these advantages, the CRP method can be used in various applications. In this study, the CRP method is used to monitor the deformation of the SF6 Gas Insulated Line (GIL) object between two substations of the Indonesian National Electricity Service in Kuningan Barat, South Jakarta. Planning was carried out with a simulation using 3D field data obtained from reconnaissance process. During the survey, photo data was collected using a smartphone and processed to form a 3D model. The simulation produced a configuration of control points, check points, and camera stations that have the best Strength of Figure (SoF) values. In the planning process, camera pre-calibration is carried out to get the best camera orientation parameter values from several experiments. The planning results are used in the next stage, namely field data acquisition and data processing. The data acquisition process was carried out for two sessions. This is done to see the changes in coordinates that occur between these sessions. Data processing was carried out by following the classical photogrammetric stages. The results obtained from this study are the average accuracy produced by Close-Range Photogrammetry method for measuring deformation which is below a tolerance of 3 mm. With this method, deformation measurements can be carried out quickly, accurately, and at a relatively lower cost than other observation methods.

Development of a 3D Full-Field Monitoring System for Large-Scale Static Deformation Based on close Range Photogrammetry

2012 ◽  
Vol 468-471 ◽  
pp. 1074-1077
Author(s):  
Jian Wei Liu ◽  
Zhi Qiang Jiang ◽  
Yuan Peng Liu ◽  
Hao Hu
Keyword(s):  
Large Scale ◽  
Power Transmission ◽  
Deformation Monitoring ◽  
Static Deformation ◽  
Transmission Tower ◽  
Full Field ◽  
Monitoring Task ◽  
Close Range Photogrammetry ◽  
Displacement Sensors ◽  
Close Range

A non-contact deformation measurement method is proposed for monitoring the 3D full-field static deformation of large-scale structures under loads, which could not be achieved by traditional displacement sensors and resistance strain gauges. This method is based on the close range photogrammetry technology. By tracking and comparing the 3D coordinates of the targets between different epoch, the load–deformation diagram in 3D form for the whole large-scale structure is obtained, which is valuable for further mechanical behavior analysis. Real-scale power transmission tower experiment shows that the proposed method can fulfill the efficiency and accuracy requirement in large-scale full-field deformation monitoring task

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