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Development of an IoT-Based Construction Worker Physiological Data Monitoring Platform at High Temperaturesopen access

Authors
Kim, Jung HoonJo, Byung WanJo, Jun HoKim, Do Keun
Issue Date
Oct-2020
Publisher
MDPI
Keywords
physiological data; monitoring; smart band; construction worker; fuzzy logic
Citation
SENSORS, v.20, no.19, pp.1 - 17
Indexed
SCIE
SCOPUS
Journal Title
SENSORS
Volume
20
Number
19
Start Page
1
End Page
17
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/8898
DOI
10.3390/s20195682
ISSN
1424-8220
Abstract
This study presents an IoT-based construction worker physiological data monitoring platform using an off-the-shelf wearable smart band. The developed platform is designed for construction workers performing under high temperatures, and the platform is composed of two parts: an overall heat assessment (OHS) and a personal management system (PMS). OHS manages the breaktimes for groups of workers based using a thermal comfort index (TCI), as provided by the Korea Meteorological Administration (KMA), while PMS assesses the individual health risk level based on fuzzy theory using data acquired from a commercially available smart band. The device contains three sensors (PPG, Acc, and skin temperature), two modules (LoRa and GPS), and a power supply, which are embedded into a microcontroller (MCU). Thus, approved personnel can monitor the status as well as the current position of a construction worker via a PC or smartphone, and can make necessary decisions remotely. The platform was tested in both indoor and outdoor environment for reliability, achieved less than 1% of error, and received satisfactory feedback from on-site users.
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서울 공과대학 > 서울 건설환경공학과 > 1. Journal Articles

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서울 공과대학 (서울 건설환경공학과)
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