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Research on Intelligent Cost Estimation of Engineering Foundation Projects Based on CSIs Theory

作     者:Jie Di Wenhao Xing Meng Wu Dan Zhang Jiashuo Zhao 

作者机构:Shijiazhuang Highway Construction and Development CenterShijiazhuang 050019Hebei ProvinceChina Shijiazhuang Tiedao UniversityShijiazhuang 050043Hebei ProvinceChina Information Department of Hebei Airlines Co.Ltd.Shijiazhuang 050802Hebei ProvinceChina Sifang CollegeShijiazhuang Tiedao UniversityShijiazhuang 051133Hebei ProvinceChina Huaxin CollegeHebei University of GeosciencesShijiazhuang 050702Hebei ProvinceChina School of Civil Engineering and TransportationNortheast Forestry UniversityHarbin 150006Heilongjiang ProvinceChina 

出 版 物:《Journal of World Architecture》 (世界建筑(百图))

年 卷 期:2024年第8卷第5期

页      面:29-35页

学科分类:0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 

主  题:Project management Cost Significant Items(CSIs) Engineering costing Intelligent estimation 

摘      要:Against the backdrop of rapid development in China’s construction and infrastructure sectors,discrepancies between project budgets and actual costs have become pronounced,manifesting in project overruns and suspensions,posing significant *** address inaccuracies in investment targets and operational complexities,this study focuses on a beam-bridge construction project in a district of Shijiazhuang city as a case *** upon historical analogs,the project employs a Work Breakdown Structure(WBS)to decompose the engineering *** on theories of Cost Significant(CS)and Whole Life Costing(WLC),the study constructs Cost Significant Items(CSIs)and develops a CNN-BiLSTM-Attention neural network for nonlinear *** identifying significant cost drivers in engineering projects,this paper presents a streamlined cost estimation method that significantly reduces computational burdens,simplifies data collection processes,and optimizes data analysis and forecasting,thereby enhancing prediction ***,validation with real-world cost fluctuation data demonstrates minor errors,meeting predictive requirements across project execution phases.

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