scholarly journals Combining Indoor Positioning Using Wi-Fi Round Trip Time with Dust Measurement in the Field of Occupational Health

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7261
Author(s):  
Hajime Ando ◽  
Shingo Sekoguchi ◽  
Kazunori Ikegami ◽  
Hidetaka Yoshitake ◽  
Hiroka Baba ◽  
...  

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.

2021 ◽  
Author(s):  
Hajime Ando ◽  
Shingo Sekoguchi ◽  
Kazunori Ikegami ◽  
Hidetaka Yoshitake ◽  
Hiroka Baba ◽  
...  

[Objectives] The measurement of personal exposure has been attracting increased attention for the control of hazardous substances. Although the combination of location information and personal exposure is considered highly useful, to-this-date, no simple or highly accurate indoor positioning method has been presented. Recently, Wi-Fi round-trip time (RTT) has attracted scientific attention as a highly accurate indoor positioning method. In this study, we investigated the possibility of the use of a combination of this indoor positioning method and small-dust sensors. [Methods] We measured indoor positioning and dust concentration three times during a walk in a simulated factory. A wearable particle monitor was worn on both upper arms, and a smartphone was attached to the helmet for positioning. An ultrasonic humidifier was used to spray sodium chloride solution in the factory. The measurements were conducted three times on different routes on foot (Experiment A, B, C). [Results] In indoor positioning, the error percentages, i.e., measurements that were outside the correct 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 taken without interruption. A heat map was created based on the results of both measurements. [Conclusions] Wi-Fi RTT was able to implement indoor positioning with high accuracy. Thus, the combination of indoor positioning and various sensors can be considered useful for occupational health.


2021 ◽  
pp. 101416
Author(s):  
Omar Hashem ◽  
Khaled A. Harras ◽  
Moustafa Youssef

2014 ◽  
Vol E97.B (10) ◽  
pp. 2145-2156
Author(s):  
Xinjie GUAN ◽  
Xili WAN ◽  
Ryoichi KAWAHARA ◽  
Hiroshi SAITO

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