摘要：在剖析城市轨道交通土建成本构成、土建成本控制机理及控制方法的基础上，提出城市轨道交通土建工程成本数字化管控模型的思路。首先搭建BIM5D信息数据库，其次构建基于BP神经网络的成本预测模型和基于赢得值的成本预警模型，并利用模糊层次法识别土建成本关键影响因素，最后通过成都市轨道交通27号线案例应用情况验证数字化管控模型的有效性。

关键词：土建成本管控；BIM 5D；BP神经网络；赢得值；模糊层次法

Abstract：On the basis of analyzing the construction cost composition，control mechanism and control method of urban rail transit civil engineering cost，puts forward the idea of digital control model of urban rail transit civil engineering cost. Firstly，builds the BIM5D information database，then constructs the cost prediction model based on BP neural network and cost warning model based on earned value method，and uses the fuzzy hierarchy method to identify the key influencing factors of civil construction cost. Finally，verifies the effectiveness of the digital control model by the case application of Chengdu rail transit Line 27. It provides reference for urban rail transit civil construction cost control.

Keywords：civil engineering cost control；BIM5D；BP neural network；earned value method；fuzzy hierarchy method

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建筑经济，2022（02）：28-37