scholarly journals Integration of point cloud data and hyperspectral imaging as a data gathering methodology for refurbishment projects using building information modelling (BIM)

2019 ◽  
Vol 17 (1) ◽  
pp. 57-75 ◽  
Author(s):  
Kinjiro Amano ◽  
Eric C.W. Lou ◽  
Rodger Edwards
Keyword(s):  
Hyperspectral Imaging ◽  
Point Cloud ◽  
Laser Scanning ◽  
Spatial Information ◽  
Data Gathering ◽  
Facilities Management ◽  
Building Information Modelling ◽  
Content Type ◽  
Cloud Data ◽  
Building Information

Purpose Building information modelling (BIM) is a digital representation of the physical and functional characteristics of a building. Its use offers a range of benefits in terms of achieving the efficient design, construction, operation and maintenance of buildings. Applying BIM at the outset of a new build project should be relatively easy. However, it is often problematic to apply BIM techniques to an existing building, for example, as part of a refurbishment project or as a tool supporting the facilities management strategy, because of inadequacies in the previous management of the dataset that characterises the facility in question. These inadequacies may include information on as built geometry and materials of construction. By the application of automated retrospective data gathering for use in BIM, such problems should be largely overcome and significant benefits in terms of efficiency gains and cost savings should be achieved. Design/methodology/approach Laser scanning can be used to collect geometrical and spatial information in the form of a 3D point cloud, and this technique is already used. However, as a point cloud representation does not contain any semantic information or geometrical context, such point cloud data must refer to external sources of data, such as building specification and construction materials, to be in used in BIM. Findings Hyperspectral imaging techniques can be applied to provide both spectral and spatial information of scenes as a set of high-resolution images. Integrating of a 3D point cloud into hyperspectral images would enable accurate identification and classification of surface materials and would also convert the 3D representation to BIM. Originality/value This integrated approach has been applied in other areas, for example, in crop management. The transfer of this approach to facilities management and construction would improve the efficiency and automation of the data transition from building pathology to BIM. In this study, the technological feasibility and advantages of the integration of laser scanning and hyperspectral imaging (the latter not having previously been used in the construction context in its own right) is discussed, and an example of the use of a new integration technique is presented, applied for the first time in the context of buildings.

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 Extracting features from laser scanning point cloud

2018 ◽  
Vol 44 ◽  
pp. 00013 ◽  
Author(s):  
Vladimir Badenko ◽  
Alexander Fedotov ◽  
Dmitry Zotov
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Historical Buildings ◽  
Historical Building ◽  
Building Information Modelling ◽  
Historic Building ◽  
Technology Application ◽  
Information Modelling ◽  
Hybrid Technology ◽  
Building Information

Analyses of gaps in processing of raw laser scanning data and results of bridging the gaps discovered on the basis of usage of laser scanning data for historic building information modelling are presented. Some results of the development of a unified hybrid technology for the processing, storage, access and visualization of combined laser scanning and photography data about historical buildings are analyzed. The first result of the technology application to historical building of St. Petersburg Polytechnic University shows the robustness of the approaches proposed.

scholarly journals The use of building information modelling by quantity surveyors in facilities management roles

2020 ◽  
Vol 27 (8) ◽  
pp. 1795-1812
Author(s):  
Melanie Stride ◽  
Carol K.H. Hon ◽  
Rui Liu ◽  
Bo Xia
Keyword(s):  
Resistance To Change ◽  
Facilities Management ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Platform ◽  
Information Modelling ◽  
Building Information ◽  
Management Roles ◽  
Operation Phase ◽  
Asset Data

PurposeAdoption of building information modelling (BIM) in facilities management (FM) provides an information platform to store and exchange asset data. Quantity Surveyors, with cost management expertise, are increasingly involved in FM roles in the operation phase. However, no study has been conducted on how BIM may assist Quantity Surveyors when contracted in FM roles. This study aims to identify the potential benefits and challenges of using BIM by Quantity Surveyors in FM roles.Design/methodology/approachInterviews were conducted with eight professionals from an international built and natural asset design and management company and its FM business partner in Australia.FindingsLack of complete and accurate data was the main issue faced by Quantity Surveyors in FM. The benefits of BIM in FM were digitizing and storing asset information and developing a cost database that would be useful for Quantity Surveyors, whereas challenges included keeping model data up to date, cost, industry resistance to change and contractors' lack of model use.Originality/valueThis study contributes to revealing the niche adoption of BIM by Quantity Surveyors in FM and identifying the issues faced by Quantity Surveyors in FM roles using BIM. It contributes to the knowledge of BIM adoption in post-construction. Findings will be useful to develop strategies for adopting BIM in FM and supporting Quantity Surveyors' roles in FM.

IoT-BIM-based digital transformation in facilities management: a conceptual model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kalani Chamika Dahanayake ◽  
Nipuni Sumanarathna
Keyword(s):  
Digital Transformation ◽  
Facilities Management ◽  
Digital Information ◽  
Building Information Modelling ◽  
Content Type ◽  
Space Management ◽  
Recent Approach ◽  
Building Information ◽  
Operations And Maintenance ◽  
Effectiveness And Efficiency

Purpose This paper aims to explore the opportunities of integrating internet of things (IoT) with building information modelling (BIM) to support the digital transformation of facilities management (FM). In this regard, a conceptual framework is proposed to implement IoT-BIM-based smart FM in buildings. Design/methodology/approach A semi-systematic literature review was conducted to examine the opportunities of integrating IoT-BIM-based smart FM. Findings BIM models are seldom used during the operations stage, and the comprehensive digital information developed during the design and construction stage is not efficiently used throughout the building’s life cycle. Therefore, this paper suggests that IoT-BIM can be effectively integrated into six FM functions, namely, energy management, operations and maintenance management, space management, FM project management, emergency management and quality management. IoT-BIM provides a beneficial platform for the digital transformation in FM, optimising the effectiveness and efficiency of buildings. Originality/value As a recent approach, the integration of BIM with IoT has created a new direction for moving from traditional FM to digitalise smart FM. However, the adaptation of IoT-BIM concept, particularly for FM, is yet to be explored. Hence, this paper contributes to the IoT-BIM research in the FM domain by highlighting six IoT-BIM-based smart FM for digital transformation in FM.

scholarly journals Building 3D Realistic Modeling Based on Air-ground Multi-source Data Fusion

2020 ◽  
Vol 213 ◽  
pp. 03025
Author(s):  
Yan Wang ◽  
Tingting Zhang ◽  
Jingyi Wang
Keyword(s):  
Data Fusion ◽  
Point Cloud ◽  
Laser Scanning ◽  
Spatial Information ◽  
Complex Structure ◽  
Three Dimensional ◽  
Point Cloud Data ◽  
3D Laser Scanning ◽  
Cloud Data ◽  
Source Data

Three-dimensional point cloud data is a new form of three-dimensional collection, which not only contains the geometric topology information of the object, but also has high simplicity and flexibility. In this paper, the air-ground multi-source data fusion technology is used to study the fine reconstruction of the 3D scene: based on the 3D laser scanning laser point cloud, the 3D spatial information of the ground visible objects is obtained, and the orthophoto obtained by the drone aerial photography is assisted, Obtain the three-dimensional space information of the top of the ground feature, and the ground three-dimensional laser scanner can quickly obtain the three-dimensional surface information of the building facade, ground, and trees. Due to the complex structure of the building and the occlusion of spatial objects, sub-station scanning is required when acquiring point cloud data. This article uses the Sino-German Energy Conservation Center Building of Shenyang Jianzhu University as the research area, using drone tilt photography technology and ground lidar technology to integrate. During the experiment, the field industry adopted the UAV image acquisition strategy of “automatic shooting of regular routes, supplemented by manual shooting of areas of interest”; in the field industry, the method of “manual coarse registration and ICP algorithm fine registration” The example results show that the ground 3D laser point cloud air-ground image fusion 3D modeling effect proposed in this paper is better and the quality is greatly improved, which makes up for the ground 3D laser scanning. In point cloud modeling, a large number of holes are insufficient due to occlusion and missing top information.

scholarly journals Phased Reverse Engineering Framework for Sustainable Cultural Heritage Archives Using Laser Scanning and BIM: The Case of the Hwanggungwoo (Seoul, Korea)

2020 ◽  
Vol 12 (19) ◽  
pp. 8108
Author(s):  
Namhyuk Ham ◽  
Baek-Il Bae ◽  
Ok-Kyung Yuh
Keyword(s):  
Cultural Heritage ◽  
Reverse Engineering ◽  
Point Cloud ◽  
Laser Scanning ◽  
Information Model ◽  
Point Cloud Data ◽  
Building Information Model ◽  
Cloud Data ◽  
Building Information

This study proposed a phased reverse engineering framework to construct cultural heritage archives using laser scanning and a building information model (BIM). This framework includes acquisition of point cloud data through laser scanning. Unlike previous studies, in this study, a standard for authoring BIM data was established through comparative analysis of existing archives and point cloud data, and a method of building valuable BIM data as an information model was proposed. From a short-term perspective, additional archives such as member lists and drawings can be extracted from BIM data built as an information model. In addition, from a long-term perspective, a scenario for using the cultural heritage archive consisting of historical records, point cloud data, and BIM data was presented. These scenarios were verified through a case study. In particular, through the BIM data building and management method, relatively very light BIM data (499 MB) could be built based on point cloud data (more than 917 MB), which is a large amount of data.

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 3D GEOLOGICAL OUTCROP CHARACTERIZATION: AUTOMATIC DETECTION OF 3D PLANES (AZIMUTH AND DIP) USING LiDAR POINT CLOUDS

2016 ◽  
Vol III-5 ◽  
pp. 105-112 ◽  
Author(s):  
K. Anders ◽  
M. Hämmerle ◽  
G. Miernik ◽  
T. Drews ◽  
A. Escalona ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
Point Cloud ◽  
Laser Scanning ◽  
Spatial Information ◽  
Point Clouds ◽  
Rock Surface ◽  
Cloud Data ◽  
Surface Data ◽  
Data Volume

Terrestrial laser scanning constitutes a powerful method in spatial information data acquisition and allows for geological outcrops to be captured with high resolution and accuracy. A crucial aspect for numerous geologic applications is the extraction of rock surface orientations from the data. This paper focuses on the detection of planes in rock surface data by applying a segmentation algorithm directly to a 3D point cloud. Its performance is assessed considering (1) reduced spatial resolution of data and (2) smoothing in the course of data pre-processing. The methodology is tested on simulations of progressively reduced spatial resolution defined by varying point cloud density. Smoothing of the point cloud data is implemented by modifying the neighborhood criteria during normals estima-tion. The considerable alteration of resulting planes emphasizes the influence of smoothing on the plane detection prior to the actual segmentation. Therefore, the parameter needs to be set in accordance with individual purposes and respective scales of studies. Fur-thermore, it is concluded that the quality of segmentation results does not decline even when the data volume is significantly reduced down to 10%. The azimuth and dip values of individual segments are determined for planes fit to the points belonging to one segment. Based on these results, azimuth and dip as well as strike character of the surface planes in the outcrop are assessed. Thereby, this paper contributes to a fully automatic and straightforward workflow for a comprehensive geometric description of outcrops in 3D.

scholarly journals How can century-old architectural hierarchies for the design of public libraries be re-interpreted and re-used?

2018 ◽  
Vol 8 (4) ◽  
pp. 481-494 ◽  
Author(s):  
Oriel Prizeman ◽  
Christopher Bernard Jones ◽  
Mariangela Parisi ◽  
Camilla Pezzica
Keyword(s):  
Laser Scanning ◽  
Survey Methods ◽  
Public Library ◽  
Automatic Generation ◽  
Public Buildings ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
The Uk

PurposeThe purpose of this paper is to describe a novel approach to inform heritage conservation based on the effective integration of documentation-based research with advanced survey methods for the creation of a sharable historic building information modelling (HBIM) objects database, specifically oriented to the study of Carnegie libraries whose designs in the USA and the UK were somewhat systematised by early principles of standardisation. The aim is to generate an exemplar developing new methodologies for the salvage, re-use and re-invigoration of shared inherited public buildings which have many common and standardized features.Design/methodology/approachThis project will also involve the collaboration of conservation practice and digital recording together with library history. Digital laser scanning and structure from motion will be used together with archival documents to accurately build an information-rich framework for CAD and building information modelling applications.FindingsBy providing the base elements for the semi-automatic generation of a wide variety of morphological typologies and construction elements, this work ultimately promotes a shift towards the implementation of HBIM to support the conservation, maintenance and management of a high number of insufficiently protected public buildings from the turn of the last century.Originality/valueThe intention is that the resulting multidimensional parametric object library will provide suitable support for the faster generation of enriched 3D historic models and ultimately support the preservation of a large proportion of the huge but threatened public library building heritage in the UK and USA.

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