Automatic Recognition of Piping System from Large-scale Terrestrial Laser Scanned Point Cloud

Kawashima, Kazuaki; Kanai, Satoshi; Date, Hiroaki

doi:10.2493/jjspe.78.722

Cited by 11 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this way, the full-ring deformation data, rather than deformation data at disperse locations, can be obtained by analyzing the collection of data points, which is termed as 'point cloud data'. The applications of TLS have been widespread in many fields, especially in geometry documentation and structure monitoring of, e.g., landforms [9][10][11], building structures [12][13][14], road markings [15][16][17], river banks [18][19][20], pipelines [21,22], landslides [23][24][25], and tunnels [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Identification and Visualization of the Full-Ring Deformation Characteristics of a Large Stormwater Sewage and Storage Tunnel Using Terrestrial Laser Scanning Technology

et al. 2019

View full text Add to dashboard Cite

Constructing deeply-buried stormwater sewage and storage tunnels is an effective method to mitigate the waterlogging and sewer overflow problems in modern cities. Prior to construction of such tunnels, a structural loading test is essential for acquiring the mechanical responses under complex loading conditions, such as cyclic inner hydraulic head, during which capturing the full-ring deformation of the tunnel lining is significant for a comprehensive understanding of the tunnel’s mechanical behaviors. This paper introduces the application of terrestrial laser scanning (TLS) technology in the full-scale structural loading tests of a large stormwater sewage and storage tunnel, which gives the full-ring deformation throughout the tests. A data processing methodology was developed to extract the key data points of the lining segments from the original data cloud by removing noise points and mitigating data jump, based on which the deformation of testing the lining segments at arbitrary locations can be calculated. Furthermore, a post-processing software was developed to visualize the full-ring deformation. The full-ring deformation at different loading conditions and its evolution under cyclic loading were captured. It is shown that the lining’s convergence deformation is more sensitive to the inner hydraulic head than to the external soil-water pressure, and the deformation cannot fully recover in a water-inflow-and-drainage cycle due to the presence of joints.

show abstract

Section: Introductionmentioning

confidence: 99%

Identification and Visualization of the Full-Ring Deformation Characteristics of a Large Stormwater Sewage and Storage Tunnel Using Terrestrial Laser Scanning Technology

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The model is comprised of straight pipes, elbows, reducers, and tee pipes with specific diameters, lengths, orientations, and locations. Therefore, this model can effectively be used during the ongoing operations, maintenance, and retrofitting of the plant facility (Ermes 2000;Kawashima et al 2012). For example, piping components are periodically renewed by preventive maintenance; however, unplanned emergency repairs or replacements may also be necessary after accidents or failures.…”

Section: Introductionmentioning

confidence: 99%

“…To this end, several research studies have been initiated (e.g., Bosché (2003), Rabbani et al (2006), Kawashima et al (2012), and Lee et al (2013)) to automate the generation of an as-built 3D pipeline model. These studies have yielded advancements in terms of automatic performance.…”

Section: Introductionmentioning

confidence: 99%

“…However, the previous methods are limited to only parts of an entire 3D pipeline, for example, straight pipes, elbows, and tees in the most recent study by Lee et al (2013). Although the study by Kawashima et al (2012) attempted to achieve an improvement in terms of the completeness of the generated models of the entire 3D pipelines, only 55% of the individual pipes (other than the straight pipes) were accurately modeled from their actual pipe forms. In addition, in the studies by Kawashima et al (2012) and Lee et al (2013), the detection of the as-built pipelines from laser-scanned data was performed manually before the proposed reconstruction process was initiated.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automatic 3D Reconstruction of As-built Pipeline Based on Curvature Computations from Laser-Scanned Data

Son

Kim

2014

Construction Research Congress 2014

View full text Add to dashboard Cite

Demand has been growing for three-dimensional (3D) reconstruction of asbuilt pipelines that occupy large areas within operating plants. In practice, measurements are efficiently performed using laser-scanning technology; however reconstructing an as-built pipeline from this laser-scanned data remains challenging. The data acquired from the plant facility can be incomplete due to complex occlusion, or it can be affected by noise due to the reflective surfaces of the pipelines and other parts. The aim of this study is to propose a method for generating models of entire pipelines that include straight pipes, elbows, reducers, and tee pipes from laserscanned data. The proposed 3D reconstruction method for as-built pipelines is divided into three main tasks: (1) identifying the types and locations of the pipelines from the laser-scanned data; (2) segmenting the pipelines into each type of pipe form; and (3) reconstructing the pipelines' geometry and topology and generating models of them. Field experiments were performed at an operating industrial plant in order to validate the proposed method. The results revealed that the proposed method can indeed contribute to the automation of 3D reconstruction of as-built pipelines.

show abstract

“…Land-based mobile laser scanners mounted on vans or cars represent the best and a cost-effective solution for capturing 3D point clouds of urban areas with an high recording rate, high point density/accuracy and remote acquisition mode. Thanks to these benefits and to continuous developments in both scanning and navigation technologies, MMSs are gaining more and more importance in many application fields, such as civil engineering and construction (Slattery et al, 2012), environment (Bitenc et al, 2011), pipeline design (Kawashima et al, 2012), road inventory (Pu et al, 2011) and cultural heritage (Ziparo et al, 2013). A general review of the different solutions available on the market and a comparison of their technical specifications can be found in Puente et al (2013).…”

Section: Mms Technologymentioning

confidence: 99%

Accuracy Evaluation of a Mobile Mapping System With Advanced Statistical Methods

Toschi

Rodríguez‐Gonzálvez

Remondino

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:This paper discusses a methodology to evaluate the precision and the accuracy of a commercial Mobile Mapping System (MMS) with advanced statistical methods. So far, the metric potentialities of this emerging mapping technology have been studied in few papers, where generally the assumption that errors follow a normal distribution is made. In fact, this hypothesis should be carefully verified in advance, in order to test how well the Gaussian classic statistics can adapt to datasets that are usually affected by asymmetrical gross errors. The workflow adopted in this study relies on a Gaussian assessment, followed by an outlier filtering process. Finally, non-parametric statistical models are applied, in order to achieve a robust estimation of the error dispersion. Among the different MMSs available on the market, the latest solution provided by RIEGL is here tested, i.e. the VMX-450 Mobile Laser Scanning System. The test-area is the historic city centre of Trento (Italy), selected in order to assess the system performance in dealing with a challenging and historic urban scenario. Reference measures are derived from photogrammetric and Terrestrial Laser Scanning (TLS) surveys. All datasets show a large lack of symmetry that leads to the conclusion that the standard normal parameters are not adequate to assess this type of data. The use of non-normal statistics gives thus a more appropriate description of the data and yields results that meet the quoted a-priori errors.

show abstract

Automatic Recognition of Piping System from Large-scale Terrestrial Laser Scanned Point Cloud

Cited by 11 publications

References 6 publications

Identification and Visualization of the Full-Ring Deformation Characteristics of a Large Stormwater Sewage and Storage Tunnel Using Terrestrial Laser Scanning Technology

Identification and Visualization of the Full-Ring Deformation Characteristics of a Large Stormwater Sewage and Storage Tunnel Using Terrestrial Laser Scanning Technology

Automatic 3D Reconstruction of As-built Pipeline Based on Curvature Computations from Laser-Scanned Data

Accuracy Evaluation of a Mobile Mapping System With Advanced Statistical Methods

Contact Info

Product

Resources

About