File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Augmented reality-based computational fieldwork support for equipment operations and maintenance

TitleAugmented reality-based computational fieldwork support for equipment operations and maintenance
Authors
KeywordsAugmented reality
Building information modeling
Fieldwork efficiency
Operations and maintenance
Issue Date2011
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/autcon
Citation
Automation in Construction, 2011, v. 20 n. 4, p. 338-352 How to Cite?
AbstractThis paper describes the development of an Augmented Reality (AR)-based equipment Operations and Maintenance (O&M) fieldwork support application to improve efficiency at the site and the experimental evaluation of the application. The application consists of an AR-based interface for intuitive GUI and an O&M information model developed with various types of O&M specific information obtained through observing tradespeople's fieldwork activities, and those from Computerized Maintenance Management System (CMMS) and Building Automation System (BAS). In addition, the BACnet protocol is used to get sensor-derived operation data in real time from BAS. A series of experiments was conducted to quantitatively measure improvement in equipment O&M fieldwork efficiency by using a software prototype of the application. The results show that with the application the subjects saved, on average, 51% of time spent at task when they located target areas and 8% of time at task while obtaining sensor-based performance data from BAS.
Persistent Identifierhttp://hdl.handle.net/10722/199855
ISSN
2015 Impact Factor: 2.442
2015 SCImago Journal Rankings: 1.571
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLee, SH-
dc.contributor.authorAkin, O-
dc.date.accessioned2014-07-22T02:55:14Z-
dc.date.available2014-07-22T02:55:14Z-
dc.date.issued2011-
dc.identifier.citationAutomation in Construction, 2011, v. 20 n. 4, p. 338-352-
dc.identifier.issn0926-5805-
dc.identifier.urihttp://hdl.handle.net/10722/199855-
dc.description.abstractThis paper describes the development of an Augmented Reality (AR)-based equipment Operations and Maintenance (O&M) fieldwork support application to improve efficiency at the site and the experimental evaluation of the application. The application consists of an AR-based interface for intuitive GUI and an O&M information model developed with various types of O&M specific information obtained through observing tradespeople's fieldwork activities, and those from Computerized Maintenance Management System (CMMS) and Building Automation System (BAS). In addition, the BACnet protocol is used to get sensor-derived operation data in real time from BAS. A series of experiments was conducted to quantitatively measure improvement in equipment O&M fieldwork efficiency by using a software prototype of the application. The results show that with the application the subjects saved, on average, 51% of time spent at task when they located target areas and 8% of time at task while obtaining sensor-based performance data from BAS.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/autcon-
dc.relation.ispartofAutomation in Construction-
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Automation in Construction. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Automation in Construction, [VOL 20, ISSUE 4, 2011] DOI 10.1016/j.autcon.2010.11.004-
dc.subjectAugmented reality-
dc.subjectBuilding information modeling-
dc.subjectFieldwork efficiency-
dc.subjectOperations and maintenance-
dc.titleAugmented reality-based computational fieldwork support for equipment operations and maintenanceen_US
dc.typeArticleen_US
dc.identifier.emailLee, SH: shlee1@hku.hk-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.autcon.2010.11.004-
dc.identifier.scopuseid_2-s2.0-79954599428-
dc.identifier.volume20-
dc.identifier.issue4-
dc.identifier.spage338-
dc.identifier.epage352-
dc.identifier.isiWOS:000290976300004-
dc.publisher.placeNetherlands-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats