Real-time Judgment of Workload using Heart Rate and Physical Activity
Real-time Judgment of Workload using Heart Rate and Physical Activity
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DOI：
10.22260/isarc2020/0117
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Nobuki Hashiguchi;Lim Yeongjoo;C. Sya;Shinichi Kuroishi;Yasuhiro Miyazaki;Shigeo Kitahara;Taizo Kobayashi;K. Tateyama;Kota Kodama
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文献类型：
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作者：
Nobuki Hashiguchi;Lim Yeongjoo;C. Sya;Shinichi Kuroishi;Yasuhiro Miyazaki;Shigeo Kitahara;Taizo Kobayashi;K. Tateyama;Kota Kodama
建筑工地的工人可能面临各种危险和风险，可能会超负荷工作，超出他们的体力范围。对于建筑公司来说，重要的是在不牺牲工人安全和健康的工作环境中维持一支劳动力，并保持所需的生产率。这项研究的目的是开发一种实时估计建筑工地个体工人工作量风险的方法。在前人研究的基础上，我们开发了一个除了心率储备(%HRR)之外，还包括工人的行为信息和身体特征的工作负荷模型。最近的可穿戴设备具有足够的性能来测量生物和物理负载数据，而不会干扰它们的工作。在本案例研究中，使用配备了生物传感器、加速度传感器和我们研究开发的物联网系统的智能穿戴来测量心率和体力活动。采用Logistic回归分析作为统计方法，SPSS作为分析工具，分析了工作量带来的风险。因此，很明显，体力活动和心率将是估计建筑工程工作量风险的重要参数。然而，工人的年龄和体重指数(BMI)对估计工作量风险没有显著影响。在施工现场，工种和工人的技能会随着工程的进展而变化。为了确保稳定的劳动力和生产力，建筑业有必要对工人的健康和安全进行管理。综上所述，我们建议将施工过程中的心率和体力活动的实时监测用于人力资源管理。随着这项研究的发展，将有可能确定工人的工作量如何影响生产率。相信这项研究将有助于利用信息和通信技术工具对整个建筑工地进行综合管理。
Workers in a construction site may be exposed various hazards and risks and may work with excessive demands beyond their physical abilities. It is important for construction companies to sustain a workforce in the work environment that does not sacrifice worker safety and health and maintains the required productivity. The purpose of this study was to develop a method for real-time estimation of the workload risk of individual workers at a construction site. Based on previous studies, we developed a workload model that includes behavioral information and physical characteristics of workers in addition to heart rate reserve (%HRR). Recent wearable devices have sufficient performance for measuring biological and physical load data without interfering from their work. In this case study, heart rate and physical activity were measured using smart wear equipped with a biosensor, an acceleration sensor and IoT system developed in our research. Using a logistic regression analysis as the statistical methods and SPSS as the analysis tool, we analyzed the risk caused by the workload. As a result, it became clear that the physical activity and the heart rate will be the important parameters for estimating workload risk in construction works. However, worker age and body mass index (BMI) did not have a significant effect on estimating workload risk. In the construction site, types of works and skills of workers will change according to the progress of the project. In order to ensure a stable workforce and productivity, it is necessary for construction industry to manage workers’ health and safety. In conclusion of this paper, we propose that the real-time monitoring of heart rate and physical activity during construction work can be used for human resource management (HRM). With the development of this study, it will be possible to determine how the workers’ workload affects productivity. It is believed that this research will be useful as an element of the integrated management technology of the entire construction site using ICT tools.