Automated Design Information Extraction from Construction Specifications to Support Wood Construction Cost Estimation
Automated Design Information Extraction from Construction Specifications to Support Wood Construction Cost Estimation
复制标题
从施工规范中自动提取设计信息以支持木结构建筑成本估算
DOI：
10.1061/9780784482889.069
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Zhang, Jiansong
中科院分区：
文献类型：
--
作者：
Akanbi, Temitope;Zhang, Jiansong
为了实现工程成本估算的完全自动化，计算成本估算所涉及的整个过程必须自动化。实现成本估算所涉及的典型过程是：(1)将模型元素分类并与它们的各种类别相匹配；（二）从设计文件或建筑信息模型中提取工程量；(3)从成本数据库中检索单位成本；(4)运用单位成本和数量计算成本概算。尽管数量提取的自动化水平已经相对较高，但是大多数商业软件程序仍然需要估算人员手动输入：(1)将构建元素的材料与工作项相匹配；和/或(2)满足设计模型中可能缺少的基本信息需求，以进行准确的成本估算计算。这些缺失的信息通常是从补充设计模型的施工规范中获得的。从施工规范中提取设计信息的自动化过程可以帮助减少：(1)估算的时间和成本，(2)成本估算计算中所需的人工输入，以及(3)成本估算中的人为错误。本文探讨了使用自然语言处理技术来帮助处理建筑规范，作者提出了一种新的算法方法，用于从建筑规范中提取所需的设计信息，以支持木结构建筑成本估算。以某木结构工程为例，对本文提出的方法进行了评价。结果表明，该方法成功地从建筑规范中搜索和发现设计细节，满足详细木结构成本估算的基本信息要求，准确率为94.9%，召回率为97.4%。
In achieving full automation of construction cost estimation, the complete processes involved in computing cost estimates must be automated. The typical processes involved in achieving cost estimates are: (1) classification and matching of model elements to their various categories; (2) taking off quantities from design documents or building information models; (3) retrieving unit cost from a cost database; and (4) applying the unit costs and quantities in computing the cost estimate. Although, the level of automation in quantity takeoff has been relatively high, most commercial software programs still require manual inputs from estimators to: (1) match materials of building elements to work items; and/or (2) fulfill essential information requirements that may be missing from design models for accurate cost estimate computations. These missing information are usually obtained from the construction specifications in supplement to the design models. Automating the process of design information extraction from construction specifications can help reduce: (1) the time and cost of the estimation, (2) the manual inputs required in cost estimation computations, and (3) human errors in cost estimates. This paper explores the use of natural language processing techniques to help process construction specifications and the authors propose a new algorithmic method for extracting the needed design information from construction specifications to support wood construction cost estimation. A case study was conducted on a wood construction project to evaluate the authors’ proposed method. The results showed that the proposed method successfully searched for and found design details from construction specifications to fulfil essential information requirements for detailed wood construction cost estimation, with a 94.9% precision and a 97.4% recall.
自动化木结构成本估算
影响因子：
10.3
作者：
Temitope Akanbi;Jiansong Zhang
通讯作者：
Jiansong Zhang