Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, 1-1, Iseigaoka, Yahatanishi-ku, Kitakyushu, Fukuoka 807-8555, Japan.
Department of Environmental Health Engineering, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, 1-1, Iseigaoka, Yahatanishi-ku, Kitakyushu, Fukuoka 807-8555, Japan.
Sensors (Basel). 2021 Oct 31;21(21):7261. doi: 10.3390/s21217261.
Monitoring of personal exposure to hazardous substances has garnered increasing attention over the past few years. However, no straightforward and exact indoor positioning technique has been available until the recent discovery of Wi-Fi round trip time (Wi-Fi RTT). In this study, we investigated the possibility of using a combination of Wi-Fi RTT for indoor positioning and a wearable particle monitor (WPM) to observe dust concentration during walking in a simulated factory. Ultrasonic humidifiers were used to spray sodium chloride solution inside the factory. The measurements were recorded three times on different routes (Experiments A, B, and C). The error percentages, i.e., measurements that were outside the expected measurement area, were 7% (49 s/700 s) in Experiment A, 2.3% (15 s/660 s) in Experiment B, and 7.8% (50 s/645 s) in Experiment C. The dust measurements were also recorded without any obstruction. A heat map was created based on the results from both measured values. Wi-Fi RTT proved useful for computing the indoor position with high accuracy, suggesting the applicability of the proposed methodology for occupational health monitoring.
近年来，对个人接触危险物质的监测受到了越来越多的关注。然而，直到最近发现 Wi-Fi 往返时间（Wi-Fi RTT），才出现了一种简单而准确的室内定位技术。在这项研究中，我们研究了使用 Wi-Fi RTT 进行室内定位和可穿戴粒子监测器（WPM）来观察模拟工厂中行走时粉尘浓度的可能性。我们在工厂内使用超声波加湿器喷洒氯化钠溶液。在不同的路线上（实验 A、B 和 C）进行了三次测量。在实验 A 中，误差百分比（超出预期测量区域的测量值）为 7%（49 s/700 s），在实验 B 中为 2.3%（15 s/660 s），在实验 C 中为 7.8%（50 s/645 s）。在没有任何障碍物的情况下也记录了粉尘测量值。根据测量值创建了一个热图。Wi-Fi RTT 证明了其在计算室内位置方面的高精度，这表明了所提出的方法在职业健康监测中的适用性。
