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Article: Review on Image-based Technologies to Construct As-Is Building Information Models for Existing Buildings

TitleReview on Image-based Technologies to Construct As-Is Building Information Models for Existing Buildings
Authors
Issue Date2016
PublisherAmerican Society of Civil Engineers.
Citation
Journal of Computing in Civil Engineering (Forthcoming) How to Cite?
AbstractBuilding 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 Identifierhttp://hdl.handle.net/10722/234552
ISSN
2015 Impact Factor: 1.855
2015 SCImago Journal Rankings: 1.219

 

DC FieldValueLanguage
dc.contributor.authorLU, Q-
dc.contributor.authorLee, SH-
dc.date.accessioned2016-10-14T13:47:36Z-
dc.date.available2016-10-14T13:47:36Z-
dc.date.issued2016-
dc.identifier.citationJournal of Computing in Civil Engineering (Forthcoming)-
dc.identifier.issn0887-3801-
dc.identifier.urihttp://hdl.handle.net/10722/234552-
dc.description.abstractBuilding 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.languageeng-
dc.publisherAmerican Society of Civil Engineers.-
dc.relation.ispartofJournal of Computing in Civil Engineering-
dc.rightsJournal of Computing in Civil Engineering. Copyright © American Society of Civil Engineers.-
dc.titleReview on Image-based Technologies to Construct As-Is Building Information Models for Existing Buildings-
dc.typeArticle-
dc.identifier.emailLee, SH: shlathku@gmail.com-
dc.identifier.authorityLee, SH=rp01910-
dc.identifier.hkuros270075-
dc.publisher.placeUnited States-

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