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Article: Image-Based Technologies for Constructing As-Is Building Information Models for Existing Buildings
Title | Image-Based Technologies for Constructing As-Is Building Information Models for Existing Buildings |
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Authors | |
Keywords | As-is building information model (BIM) Existing building Image Operations and maintenance |
Issue Date | 2017 |
Publisher | American Society of Civil Engineers. |
Citation | Journal of Computing in Civil Engineering, 2017, v. 31 n. 4, p. 04017005:1-04017005:14 How to Cite? |
Abstract | Building Information Model (BIM) has proved to be a data-rich, object-oriented, intelligent and parametric digital representation of a building to support diverse activities throughout the life-cycle of the building. Despite the growing use of BIM for new construction projects in recent years, most existing buildings today often do not have complete as-is information documents, nor existed meaningful BIM. Thus, incomplete or even incorrect information in as-is records is still one of the main reasons for the low-level efficiency in facilities management for existing buildings. Furthermore, as-is BIM modeling for existing buildings is considered to be a time-consuming and expensive process, which requires great effort, time, costs and skilled workers. Convenient, efficient and economical approaches with high accuracy to constructing an as-is BIM would be essentially the foremost step for effective operations and maintenance of existing buildings. To this end, this study aims at categorizing and analyzing the state-of-the-art technologies in image-based BIM construction processes as the first step. For effective review, a general framework for image-based as-is BIM construction processes is proposed with the following key steps: 1) data capturing and processing; 2) object recognition; and 3) as-is BIM modeling. Detailed comparative analyses of methods commonly used in each step were conducted and a prospective model is proposed. Finally, based on the prospective model, knowledge gaps and future development of image-based as-is BIM construction processes are identified. This paper presents the results of systematic review and analyses for image-based as-is BIM construction processes, contributing to the development and widespread adoption of this technology in the construction industry. |
Persistent Identifier | http://hdl.handle.net/10722/234552 |
ISSN | 2023 Impact Factor: 4.7 2023 SCImago Journal Rankings: 1.137 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | LU, Q | - |
dc.contributor.author | Lee, SH | - |
dc.date.accessioned | 2016-10-14T13:47:36Z | - |
dc.date.available | 2016-10-14T13:47:36Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Journal of Computing in Civil Engineering, 2017, v. 31 n. 4, p. 04017005:1-04017005:14 | - |
dc.identifier.issn | 0887-3801 | - |
dc.identifier.uri | http://hdl.handle.net/10722/234552 | - |
dc.description.abstract | Building Information Model (BIM) has proved to be a data-rich, object-oriented, intelligent and parametric digital representation of a building to support diverse activities throughout the life-cycle of the building. Despite the growing use of BIM for new construction projects in recent years, most existing buildings today often do not have complete as-is information documents, nor existed meaningful BIM. Thus, incomplete or even incorrect information in as-is records is still one of the main reasons for the low-level efficiency in facilities management for existing buildings. Furthermore, as-is BIM modeling for existing buildings is considered to be a time-consuming and expensive process, which requires great effort, time, costs and skilled workers. Convenient, efficient and economical approaches with high accuracy to constructing an as-is BIM would be essentially the foremost step for effective operations and maintenance of existing buildings. To this end, this study aims at categorizing and analyzing the state-of-the-art technologies in image-based BIM construction processes as the first step. For effective review, a general framework for image-based as-is BIM construction processes is proposed with the following key steps: 1) data capturing and processing; 2) object recognition; and 3) as-is BIM modeling. Detailed comparative analyses of methods commonly used in each step were conducted and a prospective model is proposed. Finally, based on the prospective model, knowledge gaps and future development of image-based as-is BIM construction processes are identified. This paper presents the results of systematic review and analyses for image-based as-is BIM construction processes, contributing to the development and widespread adoption of this technology in the construction industry. | - |
dc.language | eng | - |
dc.publisher | American Society of Civil Engineers. | - |
dc.relation.ispartof | Journal of Computing in Civil Engineering | - |
dc.rights | Journal of Computing in Civil Engineering. Copyright © American Society of Civil Engineers. | - |
dc.subject | As-is building information model (BIM) | - |
dc.subject | Existing building | - |
dc.subject | Image | - |
dc.subject | Operations and maintenance | - |
dc.title | Image-Based Technologies for Constructing As-Is Building Information Models for Existing Buildings | - |
dc.type | Article | - |
dc.identifier.email | Lee, SH: shlathku@gmail.com | - |
dc.identifier.authority | Lee, SH=rp01910 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1061/(ASCE)CP.1943-5487.0000652 | - |
dc.identifier.scopus | eid_2-s2.0-85018789155 | - |
dc.identifier.hkuros | 270075 | - |
dc.identifier.hkuros | 272403 | - |
dc.identifier.volume | 31 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 04017005:1 | - |
dc.identifier.epage | 04017005:14 | - |
dc.identifier.isi | WOS:000399894800007 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0887-3801 | - |