scholarly journals 3D Point Cloud to BIM: Semi-Automated Framework to Define IFC Alignment Entities from MLS-Acquired LiDAR Data of Highway Roads

2020 ◽  
Vol 12 (14) ◽  
pp. 2301
Author(s):  
Mario Soilán ◽  
Andrés Justo ◽  
Ana Sánchez-Rodríguez ◽  
Belén Riveiro
Keyword(s):  
Information Exchange ◽  
Point Cloud ◽  
Laser Scanning ◽  
Information Modeling ◽  
Cloud Data ◽  
Industry Foundation Classes ◽  
Cloud Processing ◽  
Building Information ◽  
Definition Of ◽  
Key Steps

Building information modeling (BIM) is a process that has shown great potential in the building industry, but it has not reached the same level of maturity for transportation infrastructure. There is a standardization need for information exchange and management processes in the infrastructure that integrates BIM and Geographic Information Systems (GIS). Currently, the Industry Foundation Classes standard has harmonized different infrastructures under the Industry Foundation Classes (IFC) 4.3 release. Furthermore, the usage of remote sensing technologies such as laser scanning for infrastructure monitoring is becoming more common. This paper presents a semi-automated framework that takes as input a raw point cloud from a mobile mapping system, and outputs an IFC-compliant file that models the alignment and the centreline of each road lane in a highway road. The point cloud processing methodology is validated for two of its key steps, namely road marking processing and alignment and road line extraction, and a UML diagram is designed for the definition of the alignment entity from the point cloud data.

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 From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage

2020 ◽  
Vol 12 (7) ◽  
pp. 1094 ◽  
Author(s):  
Mesrop Andriasyan ◽  
Juan Moyano ◽  
Juan Enrique Nieto-Julián ◽  
Daniel Antón
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Accuracy Assessment ◽  
Parametric Modelling ◽  
Point Cloud Data ◽  
Building Information Modelling ◽  
Historical Interpretation ◽  
Information Modelling ◽  
Cloud Data ◽  
Building Information

Building Information Modelling (BIM) is a globally adapted methodology by government organisations and builders who conceive the integration of the organisation, planning, development and the digital construction model into a single project. In the case of a heritage building, the Historic Building Information Modelling (HBIM) approach is able to cover the comprehensive restoration of the building. In contrast to BIM applied to new buildings, HBIM can address different models which represent either periods of historical interpretation, restoration phases or records of heritage assets over time. Great efforts are currently being made to automatically reconstitute the geometry of cultural heritage elements from data acquisition techniques such as Terrestrial Laser Scanning (TLS) or Structure From Motion (SfM) into BIM (Scan-to-BIM). Hence, this work advances on the parametric modelling from remote sensing point cloud data, which is carried out under the Rhino+Grasshopper-ArchiCAD combination. This workflow enables the automatic conversion of TLS and SFM point cloud data into textured 3D meshes and thus BIM objects to be included in the HBIM project. The accuracy assessment of this workflow yields a standard deviation value of 68.28 pixels, which is lower than other author’s precision but suffices for the automatic HBIM of the case study in this research.

scholarly journals Interoperability Analyses of BIM Platforms for Construction Management

2020 ◽  
Vol 10 (13) ◽  
pp. 4437 ◽  
Author(s):  
Carlo Iapige De Gaetani ◽  
Mertkan Mert ◽  
Federica Migliaccio
Keyword(s):  
Information Exchange ◽  
Data Exchange ◽  
Information Modeling ◽  
Practical Applications ◽  
Four Dimensions ◽  
Industry Foundation Classes ◽  
Software Packages ◽  
Building Information ◽  
Exchange Data ◽  
Aec Industry

It is incontrovertible that an exchange of files is essentially required at several stages of the workflow in the architecture, engineering, and construction (AEC) industry. Therefore, investigating and detecting the capabilities/inabilities of building information modeling (BIM) software packages with respect to interoperability can be informative to stakeholders who exchange data between various BIM packages. The work presented in this paper includes a discussion on the interoperability of different software platforms commonly used in the AEC industry. Although, in theory, flawless interoperability of some types of files between different BIM platforms is ensured, in practical applications, this is not always the case. Hence, this research aims to identify faults in data exchange by assessing different possible scenarios where a sample Industry Foundation Classes (IFC) four-dimensions (4D) BIM model and related Gantt charts are exchanged. Throughout the interoperability analysis of both IFC file and Gantt charts, the following checks were carried out: geometrical and nongeometrical information exchange through IFC files, 4D information correct readability, and presence of missing schedule information in Gantt charts after their import/export procedure. The results show that interoperability between the analyzed platforms is not always ensured, providing useful insight into realistic scenarios.

scholarly journals Automatic 2D Floorplan CAD Generation from 3D Point Clouds

2020 ◽  
Vol 10 (8) ◽  
pp. 2817 ◽  
Author(s):  
Uuganbayar Gankhuyag ◽  
Ji-Hyeong Han
Keyword(s):  
Point Clouds ◽  
Detection Algorithm ◽  
Information Modeling ◽  
Ongoing Research ◽  
Cloud Data ◽  
Industry Foundation Classes ◽  
Automated Method ◽  
3D Point Clouds ◽  
Building Information ◽  
Geometric Quality

In the architecture, engineering, and construction (AEC) industry, creating an indoor model of existing buildings has been a challenging task since the introduction of building information modeling (BIM). Because the process of BIM is primarily manual and implies a high possibility of error, the automated creation of indoor models remains an ongoing research. In this paper, we propose a fully automated method to generate 2D floorplan computer-aided designs (CADs) from 3D point clouds. The proposed method consists of two main parts. The first is to detect planes in buildings, such as walls, floors, and ceilings, from unstructured 3D point clouds and to classify them based on the Manhattan-World (MW) assumption. The second is to generate 3D BIM in the industry foundation classes (IFC) format and a 2D floorplan CAD using the proposed line-detection algorithm. We experimented the proposed method on 3D point cloud data from a university building, residential houses, and apartments and evaluated the geometric quality of a wall reconstruction. We also offer the source code for the proposed method on GitHub.

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 EXTRACTION AND TRANSFORMATION OF IFC DATA TO CITYGML FORMAT

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 595-601 ◽  
Author(s):  
M. J. Sani ◽  
I. A. Musliman ◽  
A. Abdul Rahman
Keyword(s):  
Information Exchange ◽  
Data Exchange ◽  
Transformation Process ◽  
Information Modeling ◽  
Data Interoperability ◽  
Industry Foundation Classes ◽  
Gis Applications ◽  
Two Systems ◽  
Building Information ◽  
The Difference

Abstract. The integration of Geographic Information System (GIS) and the Building Information Modeling (BIM) referred to as the merging of the two systems for the purpose of data interoperability. The need to share information between the two systems is what motivated the integration process purposely for geospatial analysis. This can be achieved through their data exchange formats such as; City Markup Language (CityGML) and Industry Foundation Classes (IFC). The formats are the two most prominent key schemas of GIS and BIM systems respectively. The integration is a step towards information exchange or sharing (data interoperability) between the two systems. The selection of the two most prominent data exchange formats is as a result of their widespread applications in the GIS and BIM domains. However, the differences in geometric and the semantics information hinders data interoperability (information sharing) between GIS and BIM. Also, coupled with the difference in schema structure and the level of information richness between IFC and CityGML. This paper, propose a geometry transformation process that can be used to extract and transform IFC building objects to that of CityGML building objects to enable 3D model design and constructed using BIM tool to be easily reused in 3D GIS applications which will be able to support the CityGML model format. Where the geometric information will be extracted using the IFC tree-structure (hierarchy) and transformed to destination CityGML.

scholarly journals An Automatic Density Clustering Segmentation Method for Laser Scanning Point Cloud Data of Buildings

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Jianghong Zhao ◽  
Yan Dong ◽  
Siyu Ma ◽  
Huajun Liu ◽  
Shuangfeng Wei ◽  
...  
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Point Cloud Data ◽  
Segmentation Method ◽  
Cloud Data ◽  
Dbscan Algorithm ◽  
Density Clustering ◽  
Low Efficiency ◽  
Definition Of

Segmentation is an important step in point cloud data feature extraction and three-dimensional modelling. Currently, it is also a challenging problem in point cloud processing. There are some disadvantages of the DBSCAN method, such as requiring the manual definition of parameters and low efficiency when it is used for large amounts of calculation. This paper proposes the AQ-DBSCAN algorithm, which is a density clustering segmentation method combined with Gaussian mapping. The algorithm improves upon the DBSCAN algorithm by solving the problem of automatic estimation of the parameter neighborhood radius. The improved algorithm can carry out density clustering processing quickly by reducing the amount of computation required.

scholarly journals Using Open BIM and IFC to Enable a Comprehensive Consideration of Building Services within a Whole-Building LCA

2020 ◽  
Vol 12 (14) ◽  
pp. 5644
Author(s):  
Sebastian Theißen ◽  
Jannick Höper ◽  
Jan Drzymalla ◽  
Reinhard Wimmer ◽  
Stanimira Markova ◽  
...  
Keyword(s):  
Life Cycle ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Life Cycle Assessments ◽  
Data Format ◽  
Industry Foundation Classes ◽  
Building Information ◽  
Definition Of ◽  
First Time ◽  
Machine Readability

Holistic views of all environmental impacts for buildings such as Life Cycle Assessments (LCAs) are rarely performed. Building services are mostly included in this assessment only in a simplified way, which means that their embodied impacts are usually underestimated. Open Building Information Modeling (BIM) and Industry Foundation Classes (IFC) provide for significantly more efficient and comprehensive LCA performance. This study investigated how building services can be included in an open BIM-integrated whole-building LCA for the first time, identified challenges and showed six solution approaches. Based on the definition of 222 exchange requirements and their mapping with IFC, an example BIM model was modeled before the linking of 7312 BIM objects of building services with LCA data that were analyzed in an LCA tool. The results show that 94.5% of the BIM objects could only be linked by applying one of the six solution approaches. The main problems were due to: (1) modeling by a lack of standardization of attributes of BIM objects; (2) difficult machine readability of the building services LCA datasets as well as a general lack of these; and (3) non-standardized properties of building services and LCA specific dataset information in the IFC data format.

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