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Web-Based Architecture for Automating Quantity Surveying Construction Cost Calculation

机译:基于Web的自动化量测量施工成本计算的架构

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Quantity Surveying (QS) is a process concerned with controlling and managing the costsof construction projects. QS Measurement relies on sophisticated measurement rules that areunderstood by experienced practitioners. Traditional QS systems, such as standard paperwork, aretime-consuming and only approximate the cost estimate. This paper aims to design and deploy aweb-based framework for automating the cost estimation of concrete construction, using ASP.NET.It introduces a user-friendly interface, which ensures that the work is completed in the chronologicalorder of the construction phases. The proposed QS framework offers a reliable and time-efficientestimation method, in comparison to other methods (i.e., human labor using paper or Excel), whichwas tested using real data and was validated by experts and consultant companies. Furthermore, itautomated the reading of project information from construction maps, which reduced errors whenestimating costs. It could also automatically determine the project location using Google Maps andcould quickly guide the user to the location. The proposed QS framework automated the manualand Excel work of cost computing with an accuracy of 99%, reducing human calculation errors. Italso effectively reduced the calculation time to only three days (compared to 114 days of manualwork or 19 days of Excel work). The comparison result of the Quantity Surveyor’s average paidsalary indicated that using web-based QS framework helps in reducing the cost estimation time andlabor costs.
机译:数量测量(QS)是一个有关控制和管理建筑项目成本的过程。 QS测量依赖于经验丰富的从业者的复杂测量规则。传统的QS系统,如标准文书工作,Aretime消费,仅近似成本估算。本文旨在使用ASP.NET设计设计和部署基于AWEB的框架,用于自动化混凝土结构的成本估算,推出用户友好的界面,这确保了在施工阶段的按时间顺序完成工作。所提出的QS框架提供了一种可靠且时间促进的方法,与其他方法相比(即,使用纸张或Excel的人工劳动力),使用真实数据测试并由专家和顾问公司验证。此外,它是从施工地图读取项目信息的阅读,这减少了估计成本的误差。它还可以使用Google地图自动确定项目位置,并快速将用户指导到该位置。所提出的QS框架自动化手册和成本计算的Excel工作,精度为99%,降低人工计算误差。 Italso有效地将计算时间减少到仅仅三天(与手动工作的114天或19天的Excel工作相比)。数量测量师平均付费持量值的比较结果表明,使用基于Web的QS框架有助于降低成本估计时间和标签成本。

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