Development of an IoT-Based Construction Worker Physiological Data Monitoring Platform at High Temperatures
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jung Hoon | - |
dc.contributor.author | Jo, Byung Wan | - |
dc.contributor.author | Jo, Jun Ho | - |
dc.contributor.author | Kim, Do Keun | - |
dc.date.accessioned | 2021-08-02T08:51:54Z | - |
dc.date.available | 2021-08-02T08:51:54Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2020-10 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/8898 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.title | Development of an IoT-Based Construction Worker Physiological Data Monitoring Platform at High Temperatures | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jo, Byung Wan | - |
dc.identifier.doi | 10.3390/s20195682 | - |
dc.identifier.scopusid | 2-s2.0-85092253147 | - |
dc.identifier.wosid | 000587215500001 | - |
dc.identifier.bibliographicCitation | SENSORS, v.20, no.19, pp.1 - 17 | - |
dc.relation.isPartOf | SENSORS | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 20 | - |
dc.citation.number | 19 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 17 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | HEALTH | - |
dc.subject.keywordPlus | SAFETY | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | HOT | - |
dc.subject.keywordPlus | EXERCISE | - |
dc.subject.keywordPlus | INDUSTRY | - |
dc.subject.keywordAuthor | physiological data | - |
dc.subject.keywordAuthor | monitoring | - |
dc.subject.keywordAuthor | smart band | - |
dc.subject.keywordAuthor | construction worker | - |
dc.subject.keywordAuthor | fuzzy logic | - |
dc.identifier.url | https://www.mdpi.com/1424-8220/20/19/5682 | - |
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