Development of an IoT-Based Construction Worker Physiological Data Monitoring Platform at High Temperaturesopen access
- Authors
- Kim, Jung Hoon; Jo, Byung Wan; Jo, Jun Ho; Kim, 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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