Automated BIM Reconstruction of Full-Scale Complex Tubular Engineering Structures Using Terrestrial Laser Scanning

Liu, Jiepeng; Fu, Lihua; Cheng, Guozhong; Li, Dongsheng; Zhou, Jing; Cui, Na; Chen, Y. Frank

doi:10.3390/rs14071659

Cited by 8 publications

(6 citation statements)

References 35 publications

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“…Wang et al (2021) introduces an end-to-end method for generating MEP scenes from scanned data. Until now, these end-to-end methods are limited to specific scopes, such as reconstructing a purely tubular structure (Liu et al, 2022). This paper aims to address the research gap in the current lack of versatile and robust end-to-end methods.…”

Section: Background and Related Workmentioning

confidence: 99%

From Enriched Point Cloud to Structural and MEP Models: An Automated Approach to Create Semantic-Geometric Models for Industrial Facilities

Noichl,

Pan,

Mafipour

et al. 2024

Computing in Civil Engineering 2023

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While helpful for engineering applications, digital models representing the as-is status of the built environment are rarely available and costly to create using conventional methods. Commonly, editable and preferably parametric model geometries are preferred over less easy-to-process, triangulated meshes where possible; additional semantic information beyond the geometry is required in almost any case. We propose an end-to-end method starting from conventional laserscanned point clouds including RGB color information: The captured data is processed using semantic and instance segmentation and model fitting first to identify semantic clusters and object instances, and then selected structural and MEP elements are reconstructed using geometric primitives and procedural geometric operations such as sweeps to generate meaningful, ready-touse models. We describe all steps individually, along with a prototypical implementation in which we use state-of-the-art segmentation and reconstruction methods on a real-world dataset collected by the authors. Intermediate and final results are showcased and critically discussed.

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Section: Background and Related Workmentioning

confidence: 99%

From Enriched Point Cloud to Structural and MEP Models: An Automated Approach to Create Semantic-Geometric Models for Industrial Facilities

Noichl,

Pan,

Mafipour

et al. 2024

Computing in Civil Engineering 2023

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“…These approaches have superiority in handling scenes with noise and missing point clouds. Liu et al [ 37 ] proposed a BIM automation reconstruction method for full-size complex tubular engineering structures (CTES) based on TLS, which particularly introduces a new algorithm for extracting the medial axis of tubular structures. In the beginning, a region-growing-based extended axis algorithm is utilized to segment the point cloud, and then the geometric parameters of the tubular structure are estimated using a slicing method.…”

Section: Related Workmentioning

confidence: 99%

Generating Topologically Consistent BIM Models of Utility Tunnels from Point Clouds

Yang

Zhang

Yang

et al. 2023

Sensors

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The development and utilization of urban underground space is an important way to solve the “great urban disease”. As one of the most important types of urban underground foundations, utility tunnels have become increasingly popular in municipal construction. The investigation of utility tunnels is a general task and three-dimensional laser scanning technology has played a significant role in surveying and data acquisition. However, three-dimensional laser scanning technology suffers from noise and occlusion in narrow congested utility tunnel spaces, and the acquired point clouds are imperfect; hence, errors and redundancies are introduced in the extracted geometric elements. The topology of reconstructed BIM objects cannot be ensured. Therefore, in this study, a hierarchical segmentation method for point clouds and a topology reconstruction method for building information model (BIM) objects in utility tunnels are proposed. The point cloud is segmented into facades, planes, and pipelines hierarchically. An improved mean-shift algorithm is proposed to extract wall line features and a local symmetry-based medial axis extraction algorithm is proposed to extract pipelines from point clouds. A topology reconstruction method that searches for the neighbor information of wall and pipeline centerlines and establishes collinear, perpendicular, and intersecting situations is used to reconstruct a topologically consistent 3D model of a utility tunnel. An experiment on the Guangzhou’s Nansha District dataset successfully reconstructed 24 BIM wall objects and 12 pipelines within the utility tunnel, verifying the efficiency of the method.

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“…By calculating the 3D coordinates of a large number of dense points on the surface of an object to be measured by recording its distance from the measuring device, horizontal and vertical angles, and reflectivity, the 3D model of the object can be quickly reconstructed along with the associated diagram data, such as lines, surfaces, and bodies [ 11 , 12 , 13 , 14 ]. Because 3D laser scanning can obtain the surface information of objects with a panoramic view, high precision, and fast speed, it is widely used in various civil engineering applications such as automated modeling, construction progress tracking, construction safety management, and automated construction [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 ]. Moreover, 3D laser scanners can be used in disaster prevention and reduction applications to monitor and calculate landslide, rock fall, bank collapse, and mine collapse deformations in dangerous and difficult-to-reach locations.…”

Section: Introductionmentioning

confidence: 99%

Full-Section Deformation Monitoring of High-Altitude Fault Tunnels Based on Three-Dimensional Laser Scanning Technology

Tan,

Tao,

et al. 2024

Sensors

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In traditional tunnel monitoring, the characteristic points of an object within a tunnel are measured to obtain information about the object. Considering the limitations of the traditional method in measuring the complex surface structure of tunnels, such as limited monitoring points, a long measurement period, and low precision, this study introduces an approach that uses three-dimensional (3D) laser scanning for monitoring tunnel cross-section deformation. Using this approach, the soft surrounding rock of a high-altitude ultralong tunnel was taken as the monitoring object. The test tunnel was first scanned using a 3D laser scanner, and the collected data were processed. The internal structural data of the tunnel were subsequently compared with its actual contour lines and the data of its primary branch and secondary lining on different dates. The results indicate that the arch roof of the tunnel tended to be stable within a certain time range when the positions of the primary branch and secondary lining were at different measuring points with different pile numbers. The deformation of the pile number on the left and right sides did not generally exceed 0.02 m, except at a few measuring points. A comparison between the actual cross section of the initial branch and that of the designed section showed that the actual elevation of the arch of the initial branch of the tunnel was greater than its designed elevation by no more than 0.3 m. Hence, through this study, a convenient and practical method is presented for monitoring deformation in complex curved tunnel structures.

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Automated BIM Reconstruction of Full-Scale Complex Tubular Engineering Structures Using Terrestrial Laser Scanning

Cited by 8 publications

References 35 publications

From Enriched Point Cloud to Structural and MEP Models: An Automated Approach to Create Semantic-Geometric Models for Industrial Facilities

From Enriched Point Cloud to Structural and MEP Models: An Automated Approach to Create Semantic-Geometric Models for Industrial Facilities

Generating Topologically Consistent BIM Models of Utility Tunnels from Point Clouds

Full-Section Deformation Monitoring of High-Altitude Fault Tunnels Based on Three-Dimensional Laser Scanning Technology

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