基于建筑信息模型的施工阶段进度-成本协同管理研究

(1.武汉理工大学 土木工程与建筑学院,湖北 武汉 430070; 2.武汉市工程建设标准定额管理站,湖北 武汉 430020; 3.武汉宾孚建设工程顾问有限公司,湖北 武汉 430050)

进度-成本协同管理; 5D-BIM; 施工阶段; 改进挣值法; 挣值曲线

Research on joint management of schedule and cost based on BIM in construction stage
ZHANG Runyi1, GUO Yanle2, FU Jianhua2, LI HongLing3

(1.School of Civil Engineering,Wuhan University of Technology,Wuhan 430070,China; 2.Wuhan Engineering Construction Standard Quota Management Station, Wuhan 430020,China; 3.Wuhan Binfo Construction Engineering Consulting Co., Ltd, Wuhan 430050,China)

joint management of schedule and cost; 5D-BIM; construction stage; improved earned value method; earned value curve

DOI: 10.15986/j.1006-7930.2021.02.021

备注

建设项目施工进度与成本目标值分配及控制是达成项目综合目标的关键工作之一,但由于相关计划活动数量众多且关联性强的特点,形成了工作精度要求高和工作难度大的矛盾和瓶颈问题.在深入分析该问题的基础上,利用BIM软件的搜索算法,准确快速地提取相关计划活动的工程量; 然后依据合同单价,计算相关活动成本; 并运用5D-BIM针对性地研发出改进的挣值绩效计算软件,结合进度管理模块和成本管理模块,形成进度-成本协同管理平台; 将成本-进度信息输入平台内,能准确生成挣值曲线,提供施工阶段进度-成本协同管理决策信息.实证分析结果表明,该方法能提高项目管控效率与联动性,提供更加有效的辅助决策支持.
The allocation and control of the construction's schedule and cost target value in the construction project is one of the key tasks to achieve the overall project objectives. However, due to the large number of related planned activities and the strong correlation, the contradiction and bottleneck of high precision and difficult work has been formed a problem. Based on the in-depth analysis of the problem, using Revit's search algorithm to get the quantities of the relevant planned activities accurately and quickly. Then calculating the relevant activity costs based on the contract unit price; Using 5D-BIM to develop improved earned value performance calculation software, combined with schedule management module and cost management module, forms a schedule-cost collaborative management platform; Inputting cost-schedule information into the platform,accurately calculate and generate earned value curve, and provide construction stage schedule-cost collaborative management decision information. The empirical analysis results show that this method can improve the efficiency and linkage of project management and control, and provide more effective auxiliary decision support.