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Analyzing Scaffolding Needs for Industrial Construction Sites Using Historical Data

机译:使用历史数据分析工业建筑工地的脚手架需求

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Industrial construction includes a wide range of construction projects such as petroleum refineries and chemical plants, which involve several trades such as civil, mechanical, and electrical. Different trades carry out different tasks on these projects, and often depend on scaffolds to access their work areas. Quantification of scaffold requirements of large projects is difficult due to variability in work area heights and congestion, and the multiple trades that need to be serviced by the scaffold system. Traditional estimating methods rely on percentages of direct trade hours or volume of work area and usually result in significant deviation from real scaffold costs. The study presented in this paper aims to develop better understanding and estimates of scaffold needs for industrial construction sites, based on analysis of data collected from a mega project over the course of two and a half years by a major contractor. The study seeks to discover patterns and reliable correlations that may exist between required scaffold hours and other work attributes that can allow for development of a reliable estimation model. The paper presents the results of initial analysis and exploration of data mining experiments, in addition to the challenges faced, and future research recommendations.
机译:工业建筑包括广泛的建筑项目,如石油炼油厂和化工厂,涉及若干交易,如民事,机械和电气。不同的交易对这些项目进行了不同的任务,并且通常依赖脚手架来访问其工作区域。由于工作区域高度和拥塞的可变性,大型项目的脚手架要求的量化难以,以及脚手架系统需要维修的多个交易。传统估算方法依赖于直接交易时间或工作区数量的百分比,并且通常导致实际脚手架成本的显着偏差。本文提出的这项研究旨在为工业建筑地点的脚手架需求提高和估计,根据主要承包商在两年半的历程中的数据的数据分析。该研究旨在发现可能存在于所需的脚手架和其他工作属性之间可能存在的模式和可靠的相关性,这些属性可以允许开发可靠的估计模型。除面临的挑战和未来的研究建议外,本文还提出了初步分析和探索数据挖掘实验的结果。

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