Smart personal protective equipment for intelligent construction safety monitoring

IF 3.5 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
A. Rashidi, George Lukic Woon, Miyami Dasandara, Mohsen Bazghaleh, P. Pasbakhsh
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引用次数: 0

Abstract

Purpose The construction industry remains one of the most hazardous industries worldwide, with a higher number of fatalities and injuries each year. The safety and well-being of workers at a job site are paramount as they face both immediate and long-term risks such as falls and musculoskeletal disorders. To mitigate these dangers, sensor-based technologies have emerged as a crucial tool to promote the safety and well-being of workers on site. The implementation of real-time sensor data-driven monitoring tools can greatly benefit the construction industry by enabling the early identification and prevention of potential construction accidents. This study aims to explore the innovative method of prototype development regarding a safety monitoring system in the form of smart personal protective equipment (PPE) by taking advantage of the recent advances in wearable technology and cloud computing.Design/methodology/approach The proposed smart construction safety system has been meticulously crafted to seamlessly integrate with conventional safety gear, such as gloves and vests, to continuously monitor construction sites for potential hazards. This state-of-the-art system is primarily geared towards mitigating musculoskeletal disorders and preventing workers from inadvertently entering high-risk zones where falls or exposure to extreme temperatures could occur. The wearables were introduced through the proposed system in a non-intrusive manner where the safety vest and gloves were chosen as the base for the PPE as almost every construction worker would be required to wear them on site. Sensors were integrated into the PPE, and a smartphone application which is called SOTER was developed to view and interact with collected data. This study discusses the method and process of smart PPE system design and development process in software and hardware aspects.Findings This research study posits a smart system for PPE that utilises real-time sensor data collection to improve worksite safety and promote worker well-being. The study outlines the development process of a prototype that records crucial real-time data such as worker location, altitude, temperature and hand pressure while handling various construction objects. The collected data are automatically uploaded to a cloud service, allowing supervisors to monitor it through a user-friendly smartphone application. The worker tracking ability with the smart PPE can help to alleviate the identified issues by functioning as an active warning system to the construction safety management team. It is steadily evident that the proposed smart PPE system can be utilised by the respective industry practitioners to ensure the workers' safety and well-being at construction sites through monitoring of the workers with real-time sensor data.Originality/valueThe proposed smart PPE system assists in reducing the safety risks posed by hazardous environments as well as preventing a certain degree of musculoskeletal problems for workers. Ultimately, the current study unveils that the construction industry can utilise cloud computing services in conjunction with smart PPE to take advantage of the recent advances in novel technological avenues and bring construction safety management to a new level. The study significantly contributes to the prevailing knowledge of construction safety management in terms of applying sensor-based technologies in upskilling construction workers' safety in terms of real-time safety monitoring and safety knowledge sharing.
用于智能化建筑安全监控的智能个人防护设备
目的 建筑业仍然是全球最危险的行业之一,每年的伤亡人数较多。施工现场工人的安全和福祉至关重要,因为他们面临着跌倒和肌肉骨骼疾病等直接和长期风险。为了减少这些危险,基于传感器的技术已成为促进现场工人安全和健康的重要工具。实施实时传感器数据驱动的监测工具可以及早识别和预防潜在的建筑事故,从而使建筑行业受益匪浅。本研究旨在利用可穿戴技术和云计算的最新进展,探索以智能个人防护设备(PPE)为形式的安全监控系统原型开发的创新方法。 设计/方法/途径 所提议的智能建筑安全系统经过精心设计,可与手套和背心等传统安全装备无缝集成,以持续监控建筑工地的潜在危险。这种最先进的系统主要用于减轻肌肉骨骼疾病,防止工人无意中进入可能发生坠落或暴露在极端温度下的高风险区域。可穿戴设备是通过拟议系统以非侵入方式引入的,安全背心和手套被选为个人防护设备的基础,因为几乎每个建筑工人都需要在工地上穿戴它们。传感器被集成到个人防护设备中,并开发了一款名为 SOTER 的智能手机应用程序,用于查看收集到的数据并与之互动。本研究从软件和硬件方面讨论了智能个人防护设备系统设计和开发过程的方法和流程。 研究结果 本研究提出了一种个人防护设备智能系统,该系统利用实时传感器数据收集来改善工地安全和提高工人福利。研究概述了一个原型的开发过程,该原型可记录重要的实时数据,如工人在处理各种建筑物体时的位置、高度、温度和手压。收集到的数据会自动上传到云服务,管理人员可以通过用户友好型智能手机应用程序进行监控。智能个人防护设备对工人的跟踪能力可作为建筑安全管理团队的主动预警系统,有助于缓解已发现的问题。显然,相关行业的从业人员可以利用建议的智能个人防护设备系统,通过实时传感器数据对工人进行监控,确保建筑工地工人的安全和健康。最终,当前的研究揭示了建筑行业可以利用云计算服务与智能个人防护设备相结合,利用新技术途径的最新进展,将建筑安全管理提升到一个新的水平。在应用传感器技术提高建筑工人的实时安全监控和安全知识共享水平方面,本研究为建筑安全管理的现有知识做出了重要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Smart and Sustainable Built Environment
Smart and Sustainable Built Environment GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
9.20
自引率
8.30%
发文量
53
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