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Computational algorithm to automate as-built schedule development using digital daily work reports

机译:计算算法,可使用数字化日常工作报告自动完成已建立的进度计划

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摘要

As-built schedules prepared during and after construction are valuable tools for State Highway Agencies (SHAs) to monitor construction progress, evaluate contractor's schedule performance, and defend against any potential disputes. However, previous studies indicate that current as-built schedule development methods are manual and rely on information scattered in various field diaries and meeting minutes. SHAs have started to collect field activity data in digital databases that can be used to automatically generate as-built schedules if proper computational algorithms are developed. This study develops computational algorithms and a prototype system to automatically generate and visualize project level and activity level as-built schedules during and after construction. The algorithm is validated using a real highway project data. The study is expected to significantly aid SHAs in making better use of field data, facilitate as-built schedule development, monitor construction progress with higher granularity, and utilize as-built schedule for productivity analysis.
机译:施工期间和施工后准备的竣工进度表是州公路局(SHA)监控施工进度,评估承包商的进度表绩效并防御任何潜在纠纷的宝贵工具。但是,以前的研究表明,当前的进度计划编制方法是手动的,并且依赖散布在各种现场日记和会议纪要中的信息。 SHA已开始在数字数据库中收集现场活动数据,如果开发了适当的计算算法,则可将这些数据用于自动生成竣工时间表。这项研究开发了计算算法和原型系统,以在生成期间和之后自动生成和可视化项目级别和活动级别的已建进度表。使用实际的公路项目数据验证了该算法。预计该研究将极大地帮助SHA更好地利用现场数据,促进竣工进度表的开发,以更高的粒度监控施工进度以及利用竣工进度表进行生产率分析。

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