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Research on schedule optimization and prediction of construction projects based on data models

Zhaozhao Chang, Ziqing Cao, Ganbo Wang, Wenna Ma

Abstract


This paper studies the optimization and prediction method of construction project schedule based on data model. Aiming
at the problems of extensive management and unspecific schedule goal setting in traditional project schedule management, this paper
introduces the intelligent site management system, and uses advanced technologies such as BIM technology, big data and Internet of things
to perform fi ne management of construction schedule. By analyzing the infl uencing factors of the construction schedule, including human,
material supply, environment, design, capital and construction organization, a construction schedule prediction model is constructed to
realize the simulation and real-time monitoring of the construction process. Research shows that this model can significantly improve
construction progress forecast accuracy, for the construction industry information management provides a strong support, and construction
schedule optimization and control for the future research provides a new direction.

Keywords


Construction project; Data model; Schedule optimization; Schedule prediction

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References


[1] Sun Tao, Li Changjiang, Xia Fan, et al. Research on intelligent construction schedule management based on information technology [J]. Intelligent

Building and City Information, 2021, 000(012):107-109.

[2] ZHANG Hua, Peng Zhaohui, Zhang Qiang, et al. Risk assessment of construction progress of Ailsia highway based on DBN [J]. Journal of Zhengzhou

University (Engineering Science Edition), 2023, 44(05):108-113.]

[3] LIAO K Yi. Research on Dynamic Control of engineering Project construction Schedule for Smart Site [D]. Changsha University of Science and

Technology, 2020.

[4] LI Zongkun, WANG Te, GE Wei, et al. [4] [Li Z K, Wang T, GE W, et al.Risk analysis of Hong Kong-Zhuhai-Macao Bridge artifi cial island construction

based on WABS-RBS and AHP [J]. Journal of Zhengzhou University (Engineering Science Edition), 2020, 41(03):62-66.

[5] Wang Zhangjun, Gu Weihong, Li Jianqiang. Risk assessment of Metro TBM construction schedule based on WSR-GCM [J]. Railway Standard Design,

2020, 64(09):127-132.

[6] LI Zongkun, WANG Te, GE Wei, et al. [6] LI Zongkun, Wang T, GE Wei, et al. Risk analysis of Hong Kong-Zhuhai-Macao Bridge Artifi cial Island

Construction based on WBS-RBS and AHP [J]. Journal of Zhengzhou University (Engineering Science Edition),2020,41(03):62-66.

[7] WANG Zhangjun. Research on Risk Management of Subway Tunnel TBM Construction Schedule [D]. Lanzhou Jiaotong University,2020.




DOI: http://dx.doi.org/10.18686/modern-management-forum.v8i8.13814

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