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dc.contributor.authorZhao, Zhenping
dc.contributor.authorGao, Yu
dc.contributor.authorHu, Xingyi
dc.contributor.authorZhou, Yin
dc.contributor.authorGuocheng, Qin
dc.contributor.authorGuo, Jieming
dc.contributor.authorLiu, Yachao
dc.contributor.authorYu, Chenchen
dc.contributor.authorHan, Daguang
dc.date.accessioned2020-01-30T12:03:08Z
dc.date.accessioned2020-04-02T21:46:19Z
dc.date.available2020-01-30T12:03:08Z
dc.date.available2020-04-02T21:46:19Z
dc.date.issued2019
dc.identifier.citationZhao, Gao, Hu, Zhou Y, Guocheng Q, Guo J, Liu, Yu, Han D. Integrating BIM and IoT for smart bridge management. IOP Conference Series: Earth and Environmental Science (EES). 2019(022034)en
dc.identifier.issn1755-1307
dc.identifier.issn1755-1307
dc.identifier.issn1755-1315
dc.identifier.urihttps://hdl.handle.net/10642/8378
dc.description.abstractConsidering high risk, long construction period, high construction and maintenance costs, bridge management is asynchronous, unintelligent and inefficient. The purpose of this research is to investigate a new approach with its supporting building information modelling (BIM) and Internet of Things (IoT) tool to enhance the smart management in bridge life cycle. BIM provides detailed geometric and semantic information and IoT contains the management and analysis of the actual condition of the bridge. An example of a super bridge under construction in Xinjiang is used to illustrate the developed system. Results show that the developed system can significantly grasp the quality of the bridge in time, reduce the construction risk and construction period. The developed BIM/IoT-based system is also effective and practical in the quality and risk management among multiple locations, such as smart buildings, smart tunnels, and even smart cities.en
dc.description.sponsorshipThis research has obtained the financial support of: The Seventh Engineering Co., LTD. of CFHEC, and Chongqing-Leuven Academy of Smart City and Sustainable Development.en
dc.language.isoenen
dc.publisherIOP Publishingen
dc.relation.ispartofseriesIOP Conference Series: Earth and Environmental Science;Volume 371
dc.rightsContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.en
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectBuilding information modellingen
dc.subjectInternet of Thingsen
dc.subjectSmart bridge managementen
dc.titleIntegrating BIM and IoT for smart bridge managementen
dc.typeJournal articleen
dc.typePeer revieweden
dc.date.updated2020-01-30T12:03:08Z
dc.description.versionpublishedVersionen
dc.identifier.doihttps://dx.doi.org/10.1088/1755-1315/371/2/022034
dc.identifier.cristin1786374
dc.source.journalIOP Conference Series: Earth and Environmental Science (EES)


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Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Med mindre annet er angitt, så er denne innførselen lisensiert som Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.