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A sequential pattern mining driven framework for developing construction logic knowledge bases
Automation in Construction ( IF 10.3 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.autcon.2020.103439
Chau Le , K. Joseph Shrestha , H. David Jeong , Ivan Damnjanovic

Abstract One vital task of a project's owner is to determine a reliable and reasonable construction time for the project. A U.S. highway agency typically uses the bar chart or critical path method for estimating project duration, which requires the determination of construction logic. The current practice of activity sequencing is challenging, time-consuming, and heavily dependent upon the agency schedulers' knowledge and experience. Several agencies have developed templates of repetitive projects based on expert inputs to save time and support schedulers in sequencing a new project. However, these templates are deterministic, dependent on expert judgments, and get outdated quickly. This study aims to enhance the current practice by proposing a data-driven approach that leverages the readily available daily work report data of past projects to develop a knowledge base of construction sequence patterns. With a novel application of sequential pattern mining, the proposed framework allows for the determination of common sequential patterns among work items and proposed domain measures such as the confidence level of applying a pattern for future projects under different project conditions. The framework also allows for the extraction of only relevant sequential patterns for future construction time estimation.

中文翻译:

用于开发构造逻辑知识库的序列模式挖掘驱动框架

摘要 项目业主的一项重要任务是确定一个可靠、合理的项目建设工期。美国公路机构通常使用条形图或关键路径法来估算项目工期,这需要确定施工逻辑。当前的活动排序实践具有挑战性、耗时,并且在很大程度上依赖于机构调度员的知识和经验。一些机构已经根据专家输入开发了重复项目的模板,以节省时间并支持调度员对新项目进行排序。然而,这些模板是确定性的,依赖于专家的判断,并且很快就会过时。本研究旨在通过提出一种数据驱动的方法来增强当前的实践,该方法利用过去项目的现成的日常工作报告数据来开发施工序列模式的知识库。通过序列模式挖掘的新应用,所提出的框架允许确定工作项之间的共同序列模式和提议的领域度量,例如在不同项目条件下为未来项目应用模式的置信度。该框架还允许仅提取相关的序列模式以用于未来的施工时间估计。提议的框架允许确定工作项和提议的领域度量之间的共同顺序模式,例如在不同项目条件下为未来项目应用模式的置信度。该框架还允许仅提取相关的序列模式以用于未来的施工时间估计。提议的框架允许确定工作项和提议的领域度量之间的共同顺序模式,例如在不同项目条件下为未来项目应用模式的置信度。该框架还允许仅提取相关的序列模式以用于未来的施工时间估计。
更新日期:2021-01-01
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