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Ambient Intelligence to Improve Construction Site Safety: Case of High-Rise Building in Thailand

机译:完善施工现场安全的环境智能:泰国高层建筑案例

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摘要

The relatively high rate of injuries in construction is not surprising, as site work by its very nature ranks highly on fundamental risk factors. Working at heights often magnifies these risk factors. The literature reveals that falls from heights accounts for a large percentage of injuries in construction worldwide. Thailand is no exception, where fall accidents constitute the majority of high-rise construction accidents despite preventive measures being implemented. This paper examines how the use of a simple Ambient Intelligence (AmI) system—a device comprising a microcontroller, microwave sensors, Light Emitting Diode (LED) and audio alarm—could help to affect safety behavioural change of on-site construction workers in order to decrease the potential for fall accidents. An experiment was conducted at a high-rise building construction site in Bangkok, Thailand to examine the effectiveness of the AmI in helping workers mitigate the risk of falling from heights. The analysis of the data collected over two work weeks from the pre- and post-AmI application using X-bar charts and one-way analysis of variance (ANOVA) revealed a significant reduction of about 78% in the number of workers passing through the fall hazard zones. The finding established the potential of a simple AmI for reducing the risk of fall accidents.
机译:施工中的伤害率相对较高并不令人惊讶,因为现场通过其本质上的基础征收基本危险因素的努力。在高度工作经常放大这些风险因素。文献揭示了从高度占据占全球建筑造成的大量伤害。尽管正在实施预防措施,但秋季事故也不例外,落后事故构成了大多数高层建设事故。本文研究了一种简单的环境智能(AMI)系统的使用方式 - 一种包括微控制器,微波传感器,发光二极管(LED)和音频报警的设备 - 可能有助于影响现场建筑工人的安全行为变化减少堕落事故的潜力。在泰国曼谷的高层建筑施工现场进行了一个实验,以研究AMI在帮助工人降低高度风险的效果。使用X-Bar图表的AMI应用程序和AMI前后应用周内收集的数据的分析以及方差的单向分析(ANOVA)显示,通过X-BAR图(ANOVA)的单向分析(ANOVA)显着减少了约78%的人数秋天危险区域。该发现建立了简单AMI的潜力,以降低堕落事故的风险。

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