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 

机构地区：[1]Shijiazhuang Highway Construction and Development Center,Shijiazhuang 050019,Hebei Province,China [2]Shijiazhuang Tiedao University,Shijiazhuang 050043,Hebei Province,China [3]Information Department of Hebei Airlines Co.,Ltd.,Shijiazhuang 050802,Hebei Province,China [4]Sifang College,Shijiazhuang Tiedao University,Shijiazhuang 051133,Hebei Province,China [5]Huaxin College,Hebei University of Geosciences,Shijiazhuang 050702,Hebei Province,China [6]School of Civil Engineering and Transportation,Northeast Forestry University,Harbin 150006,Heilongjiang Province,China

出　　处：《Journal of World Architecture》2024年第5期29-35,共7页世界建筑（百图）

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 challenges.To 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 study.Drawing upon historical analogs,the project employs a Work Breakdown Structure(WBS)to decompose the engineering works.Building 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 prediction.By 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 accuracy.Finally,validation with real-world cost fluctuation data demonstrates minor errors,meeting predictive requirements across project execution phases.

关 键 词：Project management Cost Significant Items(CSIs) Engineering costing Intelligent estimation 

分 类 号：F42[经济管理—产业经济]