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Article: Image-Based Technologies for Constructing As-Is Building Information Models for Existing Buildings

TitleImage-Based Technologies for Constructing As-Is Building Information Models for Existing Buildings
Authors
Issue Date2017
PublisherAmerican Society of Civil Engineers.
Citation
Journal of Computing in Civil Engineering, 2017, v. 31 n. 4, p. 04017005:1-14 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.issued2017-
dc.identifier.citationJournal of Computing in Civil Engineering, 2017, v. 31 n. 4, p. 04017005:1-14-
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.titleImage-Based Technologies for Constructing As-Is Building Information Models for Existing Buildings-
dc.typeArticle-
dc.identifier.emailLee, SH: shlathku@gmail.com-
dc.identifier.authorityLee, SH=rp01910-
dc.identifier.doi10.1061/(ASCE)CP.1943-5487.0000652-
dc.identifier.hkuros270075-
dc.identifier.hkuros272403-
dc.identifier.volume31-
dc.identifier.issue4-
dc.identifier.spage04017005:1-
dc.identifier.epage14-
dc.publisher.placeUnited States-

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