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Location-Based Leading Indicators in BIM for Construction Safety.

机译:BIM中基于位置的建筑安全领先指标。

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摘要

The US construction industry continues to experience a high number of injuries and fatalities in comparison to other US industrial sectors (BLS 2013). Although the U.S. construction accounts for only 4% of total employment, the industry experiences a disproportionate 19% of the total fatalities experienced by the U.S. workforce (BLS 2014). An enhanced understanding of safety leading indicators for construction sites can be an influential factor in mitigating existing hazards and predicting future hazards (Hinze et al. 2013, Hinze 2006). Although construction companies in the U.S. are required by OSHA regulation to report all fatalities, injuries, and illnesses that occur on construction sites, a more concerted effort including research and implementation is required for safety leading indicators including near miss reporting and hazard identification.;This research seeks to test the hypothesis that it is feasible to collect, analyze, and disseminate safety leading indicators through location-based information and visualization. Because one of the most impactful transitions in the construction industry in the past decade has been a transition to digitized construction documents with visualization of construction processes through Building Information Modeling (BIM), BIM provides a real-time visualization and communication platform for construction stakeholders (Azhar 2011, Eastman et al. 2011). Furthermore, the construction industry is transitioning from lagging or reactive safety data collection (i.e., injuries, illnesses and fatalities) to pro-active or leading indicator safety data collection (i.e., near misses and hazard identification) (Hallowell et al. 2013). This research advocates for the effective retrieval, analysis, visualization and dissemination of safety leading indicator data through created databases, algorithms and BIM functionality.;Since a large majority of function components in a BIM are location-based, the outcome of this research is limited to location-based safety leading indicators (i.e., leading indicator safety data that can be assigned to a specific location). The research approach is divided into three major components: 1) near miss reporting, 2) automatic hazardous proximity zone generation, and 3) site location optimization. The framework will be evaluation in controlled laboratory settings as well as active construction sites. Throughout the research methodology, feedback and mentorship from construction engineering and management employees will be collected and integrated. This research connects the capabilities of BIM to safety data collection, storage, analysis and visualization.
机译:与美国其他工业部门相比,美国建筑业继续遭受大量伤亡(BLS 2013)。尽管美国建筑业仅占总就业人数的4%,但该行业在美国劳动者死亡总数中所占比例却高达19%(BLS 2014)。增强对建筑工地安全领先指标的理解可能是减轻现有危害和预测未来危害的影响因素(Hinze等,2013; Hinze,2006)。尽管OSHA法规要求美国的建筑公司报告在建筑工地上发生的所有死亡,受伤和疾病,但仍需要包括研究和实施在内的更多共同努力,以确保包括铅漏失报告和危险识别在内的安全领先指标。研究旨在检验以下假设:通过基于位置的信息和可视化来收集,分析和传播安全领先指标是可行的。由于过去十年中建筑业最有影响力的转变之一是通过建筑信息模型(BIM)可视化了施工过程,从而实现了数字化施工文件的可视化,因此BIM为施工相关方提供了实时可视化和交流平台( Azhar,2011;伊士曼(Eastman)等人,2011)。此外,建筑行业正在从落后或反应迟钝的安全数据收集(即伤害,疾病和死亡)过渡到主动或领先的指标安全数据收集(即未命中和危险识别)(Hallowell等,2013)。这项研究主张通过创建的数据库,算法和BIM功能来有效地检索,分析,可视化和分发安全领先指标数据。由于BIM中的大多数功能组件都是基于位置的,因此该研究的成果有限到基于位置的安全领先指标(即可以分配给特定位置的领先指标安全数据)。该研究方法分为三个主要部分:1)未命中报告,2)自动危险邻近区域生成和3)站点位置优化。该框架将在受控的实验室环境以及活跃的施工现场进行评估。在整个研究方法中,将收集并整合来自建筑工程和管理人员的反馈和指导。这项研究将BIM的功能与安全数据收集,存储,分析和可视化联系起来。

著录项

  • 作者

    Shen, Xu.;

  • 作者单位

    The University of Alabama.;

  • 授予单位 The University of Alabama.;
  • 学科 Civil engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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