scholarly journals Tank Modeling and Its Condition Assessment using Terrestrial Laser Scanner

2021 ◽  
Vol 936 (1) ◽  
pp. 012004
Author(s):  
Irwan Gumilar ◽  
Samuel Van Livtrik Lumban Gaol ◽  
Made Munarda ◽  
Brian Bramanto ◽  
Agus Lukmanulhakim
Keyword(s):  
Data Processing ◽  
Point Cloud ◽  
Good Condition ◽  
Laser Scanner ◽  
Condition Assessment ◽  
American Petroleum Institute ◽  
Terrestrial Laser Scanner ◽  
Cloud Data ◽  
Data Assessment ◽  
The Difference

Abstract Condition assessment of the tank must be carried out since it is related to Health, Safety, and Environment (HSE). Assessment is carried out by referring to the applicable standards. This study aims to create a 3D (Dimension) model and assess the tank using Terrestrial Laser Scanner technology. This includes planning, data acquisition, data processing, and data visualization. The data processing process starts with the registration stage with the cloud-to-cloud method, georeferencing, 3D modeling using point cloud, and tank assessment filtered point cloud data. Assessment includes analysis of volume, verticality/slope (in terms of the difference between upper and lower tank), and roundness calculations. The 3D model of the tank was generated with a registration error of less than 1 cm. The volume of tank I and tank II were calculated to 134.108 m3 and 134.067 m3, respectively. The difference between the upper and lower radius for each tank ranges from 2 to 10 mm. Considering the results and recalling the API 650 standard (American Petroleum Institute), each tank is considered reliable and in a good condition.

scholarly journals Comparison of Depth Camera and Terrestrial Laser Scanner in Monitoring Structural Deflections

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 201
Author(s):  
Michael Bekele Maru ◽  
Donghwan Lee ◽  
Kassahun Demissie Tola ◽  
Seunghee Park
Keyword(s):  
Optical Sensors ◽  
Point Cloud ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Point Clouds ◽  
Depth Camera ◽  
Terrestrial Laser Scanner ◽  
Cloud Data ◽  
3D Point Clouds ◽  
3D Information

Modeling a structure in the virtual world using three-dimensional (3D) information enhances our understanding, while also aiding in the visualization, of how a structure reacts to any disturbance. Generally, 3D point clouds are used for determining structural behavioral changes. Light detection and ranging (LiDAR) is one of the crucial ways by which a 3D point cloud dataset can be generated. Additionally, 3D cameras are commonly used to develop a point cloud containing many points on the external surface of an object around it. The main objective of this study was to compare the performance of optical sensors, namely a depth camera (DC) and terrestrial laser scanner (TLS) in estimating structural deflection. We also utilized bilateral filtering techniques, which are commonly used in image processing, on the point cloud data for enhancing their accuracy and increasing the application prospects of these sensors in structure health monitoring. The results from these sensors were validated by comparing them with the outputs from a linear variable differential transformer sensor, which was mounted on the beam during an indoor experiment. The results showed that the datasets obtained from both the sensors were acceptable for nominal deflections of 3 mm and above because the error range was less than ±10%. However, the result obtained from the TLS were better than those obtained from the DC.

Point Cloud Data Processing Method of Cavity 3D Laser Scanner

2013 ◽  
Vol 33 (8) ◽  
pp. 0812003 ◽  
Author(s):  
陈凯 Chen Kai ◽  
张达 Zhang Da ◽  
张元生 Zhang Yuansheng
Keyword(s):  
Data Processing ◽  
Point Cloud ◽  
Laser Scanner ◽  
Processing Method ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Data Processing Method ◽  
Cloud Data Processing

scholarly journals An Automatic Tree Skeleton Extracting Method Based on Point Cloud of Terrestrial Laser Scanner

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Ronghao Li ◽  
Guochao Bu ◽  
Pei Wang
Keyword(s):  
Topological Structure ◽  
Point Cloud ◽  
Laser Scanner ◽  
High Accuracy ◽  
Terrestrial Laser Scanner ◽  
Peach Tree ◽  
Point Cloud Data ◽  
Breadth First Search ◽  
Cloud Data ◽  
Real Tree

Tree skeleton could describe the shape and topological structure of a tree, which are useful to forest researchers. Terrestrial laser scanner (TLS) can scan trees with high accuracy and speed to acquire the point cloud data, which could be used to extract tree skeletons. An adaptive extracting method of tree skeleton based on the point cloud data of TLS was proposed in this paper. The point cloud data were segmented by artificial filtration and k-means clustering, and the point cloud data of trunk and branches remained to extract skeleton. Then the skeleton nodes were calculated by using breadth first search (BFS) method, quantifying method, and clustering method. Based on their connectivity, the skeleton nodes were connected to generate the tree skeleton, which would be smoothed by using Laplace smoothing method. In this paper, the point cloud data of a toona tree and peach tree were used to test the proposed method and for comparing the proposed method with the shortest path method to illustrate the robustness and superiority of the method. The experimental results showed that the shape of tree skeleton extracted was consistent with the real tree, which showed the method proposed in the paper is effective and feasible.

scholarly journals TERRAIN EXTRACTION BY INTEGRATING TERRESTRIAL LASER SCANNER DATA AND SPECTRAL INFORMATION

2015 ◽  
Vol XL-2/W4 ◽  
pp. 45-51 ◽  
Author(s):  
C. L. Lau ◽  
S. Halim ◽  
M. Zulkepli ◽  
A. M. Azwan ◽  
W. L. Tang ◽  
...  
Keyword(s):  
Point Cloud ◽  
Laser Scanner ◽  
Digital Camera ◽  
Digital Terrain Model ◽  
Point Clouds ◽  
Spectral Information ◽  
Terrestrial Laser Scanner ◽  
Cloud Data ◽  
Terrain Model ◽  
Colour Image

The extraction of true terrain points from unstructured laser point cloud data is an important process in order to produce an accurate digital terrain model (DTM). However, most of these spatial filtering methods just utilizing the geometrical data to discriminate the terrain points from nonterrain points. The point cloud filtering method also can be improved by using the spectral information available with some scanners. Therefore, the objective of this study is to investigate the effectiveness of using the three-channel (red, green and blue) of the colour image captured from built-in digital camera which is available in some Terrestrial Laser Scanner (TLS) for terrain extraction. In this study, the data acquisition was conducted at a mini replica landscape in Universiti Teknologi Malaysia (UTM), Skudai campus using Leica ScanStation C10. The spectral information of the coloured point clouds from selected sample classes are extracted for spectral analysis. The coloured point clouds which within the corresponding preset spectral threshold are identified as that specific feature point from the dataset. This process of terrain extraction is done through using developed Matlab coding. Result demonstrates that a higher spectral resolution passive image is required in order to improve the output. This is because low quality of the colour images captured by the sensor contributes to the low separability in spectral reflectance. In conclusion, this study shows that, spectral information is capable to be used as a parameter for terrain extraction.

Surface Reconstruction and Nc Simulation of Auto Rearview Mirror Based on Geomagic Studio

2012 ◽  
Vol 271-272 ◽  
pp. 515-518 ◽  
Author(s):  
Huan Lin ◽  
Dong Qiang Gao ◽  
Jiang Miao Yi
Keyword(s):  
Data Processing ◽  
Surface Reconstruction ◽  
Point Cloud ◽  
Laser Scanner ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Data Registration ◽  
Nc Simulation ◽  
Cnc Programming ◽  
Rearview Mirror

The key techniques of reverse engineering include data acquisition, data processing and model reconstruction.In this paper, with the automobile rearview mirror shell for example, scan the rearview mirror shell surface by laser scanner; then carries on the data processing to point cloud data(data processing include point cloud data registration, joining together and polygon stage processing). On the basis of data processing, fitting NURBS surface by Geomagic Studio software, thus completing surface reconstruction; Finally through the NC machining simulation, gets CNC programming, and to make the rearview mirror surface reconstruction and the numerical simulation.

scholarly journals STUDI PEMANFAATAN TEKNOLOGI TERRESTRIAL LASER SCANNER UNTUK MENGHITUNG VOLUME PENGUPASAN OVERBURDEN DI PIT 2 ELEKTRIFIKASI BANKO BARAT PT. BUKIT ASAM, TBK. TANJUNG ENIM, SUMATERA SELATAN

2019 ◽  
Vol 1 (1) ◽  
pp. 47-60
Author(s):  
Ezil Defri Maharfi ◽  
Taufik Arief ◽  
Diana Purbasari
Keyword(s):  
Point Cloud ◽  
Laser Scanner ◽  
Point Clouds ◽  
Terrestrial Laser Scanner ◽  
Total Station ◽  
Cloud Data ◽  
Data Point ◽  
Cut And Fill

PT. Bukit Asam, Tbk. merupakan perusahaan pertambangan batubara yang terletak di Tanjung Enim, Kabupaten Muara Enim, Provinsi Sumatera Selatan. Selama ini pengukuran volume pengupasan overburden dilakukan menggunakan alat Total Station. Pengukuran area overburden yang luas dan bentuk permukaan yang beragam menggunakan Total Station dinilai kurang efektif karena lamanya waktu yang dibutuhkan dan rendahnya tingkat ketelitian. Oleh kerena itu, diperlukan alat yang dapat mengukur volume dengan cepat serta menghasilkan data ukuran volume yang detail dan dengan kerapatan tinggi. Salah satunya yaitu penggunaan Terrestrial Laser Scanner. Metode yang digunakan dalam melakukan pengukuran yaitu metode occupation and backsight. Pengukuran menggunakan metode occupation and backsight diperlukan dua titik yang telah diketahui koordinatnya yang digunakan sebagai titik berdiri alat dan untuk titik acuan (backsight). Metode registrasi yang digunakan yaitu metode occupation and backsight dan metode cloud to cloud. Data point clouds yang telah diregistrasi perlu dilakukan filtering untuk menghilangkan noise dan objek asing yang bukan lapisan overburden. Perhitungan volume dilakukan dengan metode cut and fill terhadap model tiga dimensi dari point cloud yang terbentuk. Data hasil perhitungan didapatkan volume pengupasan overburden selama Desember 2017 sampai dengan Mei 2018 adalah sebesar 847.937 m3, dengan rincian 255.700 m3 di bulan Desember 2017, 299.120 m3 di bulan Januari 2018, 227.543 m3 di Bulan Februari 2018 dan 65.572 m3 di bulan Maret 2018.

scholarly journals DRAWING AND LANDSCAPE SIMULATION FOR JAPANESE GARDEN BY USING TERRESTRIAL LASER SCANNER

2015 ◽  
Vol XL-4/W5 ◽  
pp. 233-238
Author(s):  
R. Kumazaki ◽  
Y. Kunii
Keyword(s):  
Point Cloud ◽  
Landscape Architecture ◽  
Laser Scanner ◽  
Terrestrial Laser Scanner ◽  
3D Point Cloud ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Contour Lines ◽  
Japanese Garden ◽  
Laser Scanners

Recently, many laser scanners are applied for various measurement fields. This paper investigates that it was useful to use the terrestrial laser scanner in the field of landscape architecture and examined a usage in Japanese garden. As for the use of 3D point cloud data in the Japanese garden, it is the visual use such as the animations. Therefore, some applications of the 3D point cloud data was investigated that are as follows. Firstly, ortho image of the Japanese garden could be outputted for the 3D point cloud data. Secondly, contour lines of the Japanese garden also could be extracted, and drawing was became possible. Consequently, drawing of Japanese garden was realized more efficiency due to achievement of laborsaving. Moreover, operation of the measurement and drawing could be performed without technical skills, and any observers can be operated. Furthermore, 3D point cloud data could be edited, and some landscape simulations that extraction and placement of tree or some objects were became possible. As a result, it can be said that the terrestrial laser scanner will be applied in landscape architecture field more widely.

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