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

Title
Development of an IoT-Based Construction Worker Physiological Data Monitoring Platform at High Temperatures
Author
조병완
Keywords
physiological data; monitoring; smart band; construction worker; fuzzy logic
Issue Date
2020-10
Publisher
MDPI
Citation
SENSORS, v. 20, no. 19, article no. 5682, page. 1-17
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.
URI
https://www.mdpi.com/1424-8220/20/19/5682https://repository.hanyang.ac.kr/handle/20.500.11754/171954
ISSN
1424-8220
DOI
10.3390/s20195682
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > CIVIL AND ENVIRONMENTAL ENGINEERING(건설환경공학과) > Articles
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