scholarly journals The Integration of Earthwork Design Review and Planning Using UAV-Based Point Cloud and BIM

2021 ◽  
Vol 11 (8) ◽  
pp. 3435
Author(s):  
Jeonghwan Kim ◽  
Soomin Lee ◽  
Jongwon Seo ◽  
Dong-Eun Lee ◽  
Hee Seon Choi
Keyword(s):  
Point Cloud ◽  
Integrated Approach ◽  
Information Modeling ◽  
Cost Overrun ◽  
Task Sequence ◽  
Design Review ◽  
Planning And Design ◽  
Building Information ◽  
Aerial Vehicle ◽  
High Level

Earthwork is seemingly guesswork, but it requires a high level of accuracy and precise planning. Differences between earthwork design and finishing levels cause project delays and cost overrun due to the time-consuming nature of earthwork re-work. Therefore, error-free earthwork planning and design review is a key to the success of earthwork projects. This study utilized an integrated approach of an unmanned aerial vehicle (UAV)-based point cloud and BIM (Building Information Modeling) to verify the design and to operate the earthwork planning. The integrated approach was proposed and applied to a 420 square meters housing construction project to review an original earthwork design and create an earthwork plan for excavator work. As a result, errors in earthwork design that caused by inaccurate initial DEM was revealed, thus the earthwork design was revised with a UAV-based point cloud map. Additionally, the integrated approach was able to generate an explicit task sequence for an excavator.

Ecological mass timber as an answer to affordable housing in Switzerland?

2019 ◽  
Author(s):  
Laurent Gaudry ◽  
Martial Chabloz ◽  
Darius Golchan ◽  
Julien Nembrini ◽  
Matthias Schmid
Keyword(s):  
Affordable Housing ◽  
Information Modeling ◽  
Earthquake Resistance ◽  
Structural Walls ◽  
High Rise ◽  
Concrete Layer ◽  
Building Information ◽  
High Level ◽  
Mass Timber ◽  
High Degree

<p>The lightness and thermal performances of timber has led designers to consider using it for urban densification and to make it the key for a more sustainable and affordable construction industry.</p><p>This project of a timber-framed high-rise building will become one of the tallest in Switzerland to adopt a wooden construction, using a mix of two types of manufactured wood: cross-laminated timber (CLT) for structural walls and glue-laminated timber (a.k.a. glulam) combined to an upper concrete layer linked with screws for the slabs. The use of timber sourced from local forest is considered by the engineers because its abundance in Switzerland.</p><p>The concrete layer is needed to reach a high level of acoustic performance and to efficiently create horizontal diaphragms for earthquake resistance. It also enables the reduction of the thickness of the complex. The lower wooden surfaces with warm natural appearance are visible from the rooms, as well as the vertical surfaces of the CLT wall supporting them.</p><p>The project reveals the complexity for timber structures to simultaneously comply with regulations concerning structural, fire safety, acoustical and earthquake-resistance performances. Building Information Modeling (BIM) allows excellent technical installations coordination to reach a high degree of prefabrication.</p>

Calculation Method of Complex Tank Capacity Based on Laser Point Cloud and Building Information Modeling Technology

2019 ◽  
Vol 56 (5) ◽  
pp. 052802
Author(s):  
邬镇伦 Wu Zhenlun ◽  
程效军 Cheng Xiaojun ◽  
辛佩康 Xin Peikang ◽  
张立朔 Zhang Lishuo ◽  
胡敏捷 Hu Minjie
Keyword(s):  
Calculation Method ◽  
Point Cloud ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Modeling Technology ◽  
Building Information ◽  
Tank Capacity

scholarly journals Topology Reconstruction of BIM Wall Objects from Point Cloud Data

2020 ◽  
Vol 12 (11) ◽  
pp. 1800 ◽  
Author(s):  
Maarten Bassier ◽  
Maarten Vergauwen
Keyword(s):  
Point Cloud ◽  
Point Clouds ◽  
Evaluation Framework ◽  
Information Modeling ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Current State ◽  
Building Information ◽  
Popular Subject ◽  
Best Fit

The processing of remote sensing measurements to Building Information Modeling (BIM) is a popular subject in current literature. An important step in the process is the enrichment of the geometry with the topology of the wall observations to create a logical model. However, this remains an unsolved task as methods struggle to deal with the noise, incompleteness and the complexity of point cloud data of building scenes. Current methods impose severe abstractions such as Manhattan-world assumptions and single-story procedures to overcome these obstacles, but as a result, a general data processing approach is still missing. In this paper, we propose a method that solves these shortcomings and creates a logical BIM model in an unsupervised manner. More specifically, we propose a connection evaluation framework that takes as input a set of preprocessed point clouds of a building’s wall observations and compute the best fit topology between them. We transcend the current state of the art by processing point clouds of both straight, curved and polyline-based walls. Also, we consider multiple connection types in a novel reasoning framework that decides which operations are best fit to reconstruct the topology of the walls. The geometry and topology produced by our method is directly usable by BIM processes as it is structured conform the IFC data structure. The experimental results conducted on the Stanford 2D-3D-Semantics dataset (2D-3D-S) show that the proposed method is a promising framework to reconstruct complex multi-story wall elements in an unsupervised manner.

scholarly journals UAV, Digital Processing and Vectorization Techniques Applied to Building Condition Assessment and Follow-up

2020 ◽  
Vol 14 (4) ◽  
pp. 507-513
Author(s):  
Carles Serrat ◽  
Sebastian Banaszek ◽  
Anna Cellmer ◽  
Vicenç Gilbert ◽  
Anna Banaszek
Keyword(s):  
Expert Knowledge ◽  
Digital Processing ◽  
Condition Assessment ◽  
Information Modeling ◽  
Building Information ◽  
Aerial Vehicle ◽  
Building Condition ◽  
Video Material

The aim of the paper is to explain the basic principles of carrying out an inventory and follow-up of buildings and their condition assessment, by using the Full Interactive Visualization Method for Building Condition Assessment platform. It is a platform enabling the implementation of construction inventory based on the remote cooperation of many specialists in the field of, among others: building construction, architecture, civil engineering, photogrammetry, CAD, UAV. This type of cooperation is of particular importance especially in the context of the current epidemiological situation related to COVID-19. The idea of the presented platform fits into the broadly understanding of Building Information Modeling. After introducing the methodology, stages of the inventory and follow-up process carried out within the platform are illustrated and discussed on the basis of a case study. Based on the obtained results it can be concluded that the proposed methodology creates a convenient, efficient and inexpensive tool for massive inspection of building resources in large areas. The inventory is based primarily on high-quality photo and video material obtained from the deck of an unmanned aerial vehicle and the expert knowledge of the inspector conducting the inspection. By combining digital images data (photos, 3D model, orthophotos) with substantive data (facade element classification tables, wear / defect classification tables), we get a platform that allows intuitive access to viewing, classification, editing and analysis of selected data.

scholarly journals IFCWALL RECONSTRUCTION FROM UNSTRUCTURED POINT CLOUDS

2018 ◽  
Vol IV-2 ◽  
pp. 33-39 ◽  
Author(s):  
M. Bassier ◽  
R. Klein ◽  
B. Van Genechten ◽  
M. Vergauwen
Keyword(s):  
Point Cloud ◽  
Input Data ◽  
Initial Point ◽  
Point Clouds ◽  
Information Modeling ◽  
Point Cloud Data ◽  
Ongoing Research ◽  
Cloud Data ◽  
Building Information ◽  
Wall Geometry

The automated reconstruction of Building Information Modeling (BIM) objects from point cloud data is still ongoing research. A key aspect is the creation of accurate wall geometry as it forms the basis for further reconstruction of objects in a BIM. After segmenting and classifying the initial point cloud, the labelled segments are processed and the wall topology is reconstructed. However, the preocedure is challenging due to noise, occlusions and the complexity of the input data.<br>In this work, a method is presented to automatically reconstruct consistent wall geometry from point clouds. More specifically, the use of room information is proposed to aid the wall topology creation. First, a set of partial walls is constructed based on classified planar primitives. Next, the rooms are identified using the retrieved wall information along with the floors and ceilings. The wall topology is computed by the intersection of the partial walls conditioned on the room information. The final wall geometry is defined by creating IfcWallStandardCase objects conform the IFC4 standard. The result is a set of walls according to the as-built conditions of a building. The experiments prove that the used method is a reliable framework for wall reconstruction from unstructured point cloud data. Also, the implementation of room information reduces the rate of false positives for the wall topology. Given the walls, ceilings and floors, 94% of the rooms is correctly identified. A key advantage of the proposed method is that it deals with complex rooms and is not bound to single storeys.

scholarly journals Indoor and Outdoor Backpack Mapping with Calibrated Pair of Velodyne LiDARs

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3944 ◽  
Author(s):  
Martin Velas ◽  
Michal Spanel ◽  
Tomas Sleziak ◽  
Jiri Habrovec ◽  
Adam Herout
Keyword(s):  
Point Cloud ◽  
Large Scale ◽  
Laser Intensity ◽  
Information Modeling ◽  
Indoor Environments ◽  
Data Density ◽  
Universal Solution ◽  
Building Information ◽  
Sufficient Precision ◽  
Indoor And Outdoor

This paper presents a human-carried mapping backpack based on a pair of Velodyne LiDAR scanners. Our system is a universal solution for both large scale outdoor and smaller indoor environments. It benefits from a combination of two LiDAR scanners, which makes the odometry estimation more precise. The scanners are mounted under different angles, thus a larger space around the backpack is scanned. By fusion with GNSS/INS sub-system, the mapping of featureless environments and the georeferencing of resulting point cloud is possible. By deploying SoA methods for registration and the loop closure optimization, it provides sufficient precision for many applications in BIM (Building Information Modeling), inventory check, construction planning, etc. In our indoor experiments, we evaluated our proposed backpack against ZEB-1 solution, using FARO terrestrial scanner as the reference, yielding similar results in terms of precision, while our system provides higher data density, laser intensity readings, and scalability for large environments.

scholarly journals Building information modeling in construction conflict management

2017 ◽  
Vol 9 ◽  
pp. 184797901774625 ◽  
Author(s):  
Aref Charehzehi ◽  
ChangSaar Chai ◽  
Aminah Md Yusof ◽  
Heap-Yih Chong ◽  
Siaw Chuing Loo
Keyword(s):  
Conflict Management ◽  
Construction Industry ◽  
Construction Projects ◽  
Building Information Modeling ◽  
3D Visualization ◽  
Information Modeling ◽  
Primary Data ◽  
Potential Conflict ◽  
Building Information ◽  
High Level

Dispute is recognized as critical cause of deficiency and low performance in construction projects. Plenty of studies have been done in construction dispute management recently; however, there are no studies on construction dispute elimination. This study aims to propose a building information modeling (BIM) approach to control conflict causes before the occurrence of dispute. BIM is one of the latest platforms that promote a high level of collaboration, information sharing, and coordination where its implementation ranges from project initialization to completion stage. The circumstances associating with BIM technology can be utilized to explore the possibilities in conflict and dispute resolution system. Questionnaire surveys are used to collect the primary data. Analytical hierarchy process (AHP) and multi attribute utility technique (MAUT) are adopted to develop an algorithm and a decision-making framework to manage and resolve the potential conflict causes, particularly for the Malaysian construction industry. Data analysis emerged that five critical conflict factors in Malaysian construction industry are insufficient monitoring of CPM scheduling and updates requirements; failures to understand and correctly bid or price the works; delay in running bill payment; inadequate contractors’ management, supervision, and coordination; and error and omission in design that are originated from time, cost, quality, and documentation. Further analysis to prioritize BIM functions in construction conflict management has been done by the combination of AHP and MAUT results. Consequently, it is affirmed that clash detection and cost estimating, 4D scheduling, 3D visualization and structure analysis as BIM functions obtained the highest score to control conflicting factors.

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