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基于体力活动、工作条件和工人年龄的施工现场工作量的实际判断。

Practical Judgment of Workload Based on Physical Activity, Work Conditions, and Worker's Age in Construction Site.

机构信息

Graduate School of Technology Management, Ritsumeikan University, Osaka 567-8570, Japan.

Center for Research and Education on Drug Discovery, Faculty of Pharmaceutical Sciences Hokkaido University, Sapporo 060-0817, Japan.

出版信息

Sensors (Basel). 2020 Jul 6;20(13):3786. doi: 10.3390/s20133786.

Abstract

It is important for construction companies to sustain a productive workforce without sacrificing its health and safety. This study aims to develop a practical judgement method to estimate the workload risk of individual construction workers. Based on studies, we developed a workload model comprising a hygrothermal environment, behavioral information, and the physical characteristics of workers). The construction workers' heart rate and physical activity were measured using the data collected from a wearable device equipped with a biosensor and an acceleration sensor. This study is the first report to use worker physical activity, age, and the wet bulb globe temperature (WBGT) to determine a worker's physical workload. The accuracy of this health risk judgment result was 89.2%, indicating that it is possible to easily judge the health risk of workers even in an environment where it is difficult to measure the subject in advance. The proposed model and its findings can aid in monitoring the health impacts of working conditions during construction activities, and thereby contribute toward determining workers' health damage. However, the sampled construction workers are 12 workers, further studies in other working conditions are required to accumulate more evidence and assure the accuracy of the models.

摘要

对于建筑公司来说,在不牺牲员工健康和安全的前提下保持生产力至关重要。本研究旨在开发一种实用的判断方法来估计个体建筑工人的工作量风险。基于研究,我们开发了一个包含湿热环境、行为信息和工人物理特征的工作量模型。通过佩戴配备生物传感器和加速度传感器的可穿戴设备收集数据,测量建筑工人的心率和身体活动。本研究首次报告使用工人的身体活动、年龄和湿球黑球温度(WBGT)来确定工人的体力工作量。该健康风险判断结果的准确率为 89.2%,表明即使在难以提前测量对象的环境中,也可以轻松判断工人的健康风险。所提出的模型及其研究结果可以帮助监测建筑活动期间工作条件对健康的影响,从而有助于确定工人的健康损害。然而,所采样的建筑工人只有 12 人,需要在其他工作条件下进行进一步研究,以积累更多证据并确保模型的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ced6/7374462/aea17e7091b0/sensors-20-03786-g001.jpg

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