Automated Wood Construction Cost Estimation
Automated Wood Construction Cost Estimation
复制标题
自动化木结构成本估算
DOI：
10.1061/9780784480823.018
复制
发表时间：
2017
影响因子：
10.3
通讯作者：
Jiansong Zhang
中科院分区：
文献类型：
--
作者：
Temitope Akanbi;Jiansong Zhang
人工成本估算是一项需要经验的任务；它繁琐、繁琐，而且容易出错。因此，人工估计结果会受到每个估计者的判断或意见的影响。计算技术的使用有助于实现成本估算过程的自动化，减少估算的主观性，提高成本估算的效率和准确性。各种建筑信息建模(BIM)软件产品的成功证明了这一点。然而，这些工具中现有的成本估算自动化方法在以下方面仍然受到限制：(1)互操作性-尽管它们符合行业基础类(IFC)模式，但遵守IFC的详细实施在很大程度上是专有的；(2)完全自动化-需要以各种方式手动输入，以满足成本估算自动化的信息需求。为了解决这两个限制，在这项研究中，作者开发了一种用于木结构全自动成本估计的方法和算法，利用IFC模型中木结构对象表示的基本几何表示进行数量计算，并使用由RSMeans组装成本数据生成的成本数据库进行价格计算。开发的自动化成本估算方法和算法已在Java程序中实现，并在密歇根州卡拉马祖地区的一个木结构建筑项目中进行了测试。通过与现有BIM工具的估计相比，使用作者新开发的方法和算法可以观察到互操作性的改善和手动输入的减少。
Manual cost estimation is a task that requires experience; it is tedious, cumbersome and error-prone. As a result, manual estimation results are influenced by each estimator’s judgement or opinion. The use of computing technology can help automate this cost estimation process, reducing the subjectivity in estimation, improving the efficiency and the accuracy of cost estimation. This has been shown by the success of various building information modeling (BIM) software products. Nevertheless, existing cost estimation automation methods in these tools are still limited in terms of: (1) interoperability-in spite of their compliance with the industry foundation classes (IFC) schema, the detailed implementation in complying with IFC is largely proprietary; and (2) full automation-manual input is needed in various ways to fulfill the information need of the cost estimation automation. To address these two limitations, in this study, the authors developed a method and algorithms for fully automated cost estimation in wood construction, leveraging the fundamental geometric representation of wood building object representations in IFC models for quantity takeoff, and a price computation using a cost database generated from RSMeans Assemblies Cost Data 2015. The developed automated cost estimation method and algorithms were implemented in java programs and tested in a case study wood building project in Kalamazoo, MI, area. By comparing with estimates from existing BIM tools, improvement in interoperability and a reduction in manual input were observed using the authors’ newly developed method and algorithms.