A Model Study of Building Seismic Damage Information Extraction and Analysis on Ground‐Based LiDAR Data

Yang, Fan; Wen, Xintao; Wang, Xiaoshan; Li, Xiaoli; Li, Zhiqiang

doi:10.1155/2021/5542012

Cited by 12 publications

(4 citation statements)

References 25 publications

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“…These instruments could also allow the monitoring of structures over time, if they have resolution and uncertainty requirements sufficient to detect even small movements [1,2]. For this purpose, two types of instruments have been identified, Laser Scanner (LS) and Total Station (TS) [3][4][5], which possess good requirements in terms of accuracy, resolution, ease of use, acquisition speed, possibility of operating at a safe distance, cost. In addition, TS and LS are suitable for outdoor use, thanks to the easy installation and real-time output, wide range of operating temperatures and robustness with respect to environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

Metrological comparison between instruments for status monitoring of buildings after earthquake

Natale¹,

D’Emilia²,

Chiominto³

et al. 2023

Proceedings of the 18th IMEKO TC10 Conference on Measurement for Diagnostics, Optimisation and Control

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This paper aims to investigate the possibility of using measuring instruments to obtain objective indications of the state of a building following an earthquake, to facilitate the planning of interventions in safe conditions and to design provisional structures. The use of such tools would also be useful for monitoring both buildings and provisional structures over time. In particular, a Laser Scanner and a Total Station are examined and compared from a metrological point of view, to evaluate the possibility of using them in emergency situations, which present particular criticalities for measurements, if the reliability of the results has to be guaranteed. The façade of a historical building is used as a test case, and is subjected to measurement campaigns, distributed over time, with the aim of evaluating repeatability and reproducibility of results. Furthermore, applying known thicknesses to the monitoring points, the systems measuring thresholds are evaluated. This work would like to represent a first step towards the standardization of procedures for the adoption of Laser Scanner and Total Stations by rescuers in emergency situations.

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Section: Introductionmentioning

confidence: 99%

Metrological comparison between instruments for status monitoring of buildings after earthquake

Natale¹,

D’Emilia²,

Chiominto³

et al. 2023

Proceedings of the 18th IMEKO TC10 Conference on Measurement for Diagnostics, Optimisation and Control

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“…TLS uses a laser to measure the 3D spatial information of objects within a certain distance from the ground, which can break through the limitations of traditional singlepoint measurement methods and has the advantages of the non-contact, efficient, and high-precision acquisition of 3D point cloud data on the surface of objects [10]. In recent years, TLS has been widely used in many fields, such as 3D modeling, ancient building conservation, deformation monitoring, and forest structure investigation [11].…”

Section: Introductionmentioning

confidence: 99%

Surface Defect Detection of Nanjing City Wall Based on UAV Oblique Photogrammetry and TLS

Shi

Wang

et al. 2023

Remote Sensing

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Ancient architecture, with its long history, has a high cultural value, artistic achievement, and scientific value. The Nanjing City Wall was constructed in the mid-to-late 14th century, and it ranks first among the world’s city walls in terms of both length and size, whether historically or in the contemporary era. However, these sites are subject to long-term degradation and are sensitive to disturbances from the surrounding landscape, resulting in the potential deterioration of the architecture. Therefore, it is urgent to detect the defects and repair and protect Nanjing City Wall. In this paper, a novel method is proposed to detect the surface defects of the city walls by using the unmanned aerial vehicle (UAV) oblique photogrammetry and terrestrial laser scanning (TLS) data. On the one hand, the UAV oblique photogrammetry was used to collect the image data of the city wall, and a three-dimensional (3D) model of the wall was created using the oblique images. With this model, 43 cracks with lengths greater than 30 cm and 15 shedding surfaces with an area greater than 300 cm2 on the wall can be effectively detected. On the other hand, the point cloud data obtained by TLS were firstly preprocessed, and then, the KNN algorithm was used to construct a local neighborhood for each sampling point, and the neighborhood was fitted using the least squares method. Next, five features of the point cloud were calculated, and the results were visualized. Based on the visualization results, surface defects of the wall were identified, and 18 cracks with lengths greater than 30 cm and 5 shedding surfaces with an area greater than 300 cm2 on the wall were detected. To verify the accuracy of these two techniques in measuring cracks, the coordinates of some cracks were surveyed using a prism-free total station, and the lengths were calculated. The root mean square error (RMSE) of crack lengths based on the UAV oblique photogrammetry model and TLS point cloud model were calculated to be 0.73 cm and 0.34 cm, respectively. The results of the study showed that both techniques were able to detect the defects on the wall surface, and the measurement accuracy could meet the accuracy requirements of the surface defect detection of the city wall. Considering their low cost and high efficiency, these two techniques provide help for the mapping and conservation of historical buildings, which is of great significance for the conservation and repair of ancient buildings.

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“…Among them, the use of drone tilt photogrammetry is an important part of remote sensing technology. In post-earthquake building damage detection, the three-dimensional observation of the top and elevation of the ground object [3] is an important supplement to the detection methods such as high-resolution remote sensing images [4,5], synthetic aperture radar ( SAR ) images [6,7] and airborne lidar technology [8,9], which can greatly improve the actual work efficiency. In recent years, with the rapid growth of data accumulation and various advanced methods, artificial intelligence (AI) techniques have been applied to image recognition [10,11] audio recognition, [12] natural language processing, [13,14] autopilots [15,16]among other applications.…”

Section: Introductionmentioning

confidence: 99%

Classification of Earthquake Damage of Buildings in Songyuan Area Based on Image Recognition

Chen

Gao

Cheng

et al. 2023

J. Phys.: Conf. Ser.

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Since the emergence of human beings on the earth, various disasters have been accompanied. Among many natural disasters, the earthquake is undoubtedly one of the most threatening disasters. This project uses Res Net-50 model for deep learning and image recognition of building structural damage. Through the program to assess the local earthquake damage, given the feasible standards to facilitate a unified understanding of the earthquake situation, thereby improving the efficiency of disaster relief. Through experiments, the accuracy of the training set of the two classifications finally reached about 89.3 %, and the prediction accuracy of the test set finally reached about 71.4 %, Through the identification of post-earthquake building damage in Songyuan area, it can be learned that the accuracy of the software identification binary classification task is 73.21 %. Experiments show that taking photos can be used to predict the damage level of buildings in a certain area, and seismic damage identification can provide basis and support for post-disaster rescue and reconstruction and economic loss assessment.

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A Model Study of Building Seismic Damage Information Extraction and Analysis on Ground‐Based LiDAR Data

Cited by 12 publications

References 25 publications

Metrological comparison between instruments for status monitoring of buildings after earthquake

Metrological comparison between instruments for status monitoring of buildings after earthquake

Surface Defect Detection of Nanjing City Wall Based on UAV Oblique Photogrammetry and TLS

Classification of Earthquake Damage of Buildings in Songyuan Area Based on Image Recognition

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