A conceptual framework of underground pipeline relocation management through building information modeling and geographic information system integration - Details

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Abstract：

This　study　puts　forward　the　concept　framework　of　a　cloud　collaborative　method　for　underground　pipeline　relocation.　It　is　expected　that　through　the　use　of　advanced　technologies　such　as　building　information　modeling　(BIM),　geographic　information　system　(GIS),　mobile　Internet,　cloud　computing,　etc.,　the　information　management　of　pipeline　relocation　work　will　be　carried　out　to　solve　the　problem　of　data　islands　in　actual　projects,　so　as　to　break　through　the　information　fault　and　establish　accurate　and　reliable　underground　pipeline　data,　effectively　improve　the　current　pipeline　information　management　problems,　bring　effective　prospects　for　the　development　of　underground　pipeline　relocation　projects.　©　2021　SPIE.　Downloading　of　the　abstract　is　permitted　for　personal　use　only.

Keyword：

Architectural design Data flow analysis Geographic information systems Information management Information systems Information theory Information use Water pipelines

Community：

[ 1 ] [Wei, Jiangang]College of Civil Engineering, Fuzhou University (FZU), College of Civil Engineering, Fujian University of Technology (FJUT), Fuzhou, China
[ 2 ] [Wang, Jun]School of Architecture and Built Environment, Deakin University, Dku, Geelong, Australia
[ 3 ] [Chen, Gang]College of Civil Engineering, Fuzhou University, Fzu, Fuzhou, China
[ 4 ] [Lin, Xin]College of Civil Engineering, Fuzhou University, Fzu, Fuzhou, China
[ 5 ] [Huang, Jizhuo]College of Civil Engineering, Fuzhou University, Fzu, Fuzhou, China
[ 6 ] [Xu, Li]College of Civil Engineering, Fuzhou University, Fzu, Fuzhou, China
[ 7 ] [Yang, Yan]College of Civil Engineering, Fuzhou University, Fzu, Fuzhou, China

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ISSN： 0277-786X

Year： 2021

Volume： 12050

Language： English

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 1

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 6

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