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

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dc.contributor.authorKim, Jung Hoon-
dc.contributor.authorJo, Byung Wan-
dc.contributor.authorJo, Jun Ho-
dc.contributor.authorKim, Do Keun-
dc.date.accessioned2021-08-02T08:51:54Z-
dc.date.available2021-08-02T08:51:54Z-
dc.date.created2021-05-12-
dc.date.issued2020-10-
dc.identifier.issn1424-8220-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/8898-
dc.description.abstractThis 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.language영어-
dc.language.isoen-
dc.publisherMDPI-
dc.titleDevelopment of an IoT-Based Construction Worker Physiological Data Monitoring Platform at High Temperatures-
dc.typeArticle-
dc.contributor.affiliatedAuthorJo, Byung Wan-
dc.identifier.doi10.3390/s20195682-
dc.identifier.scopusid2-s2.0-85092253147-
dc.identifier.wosid000587215500001-
dc.identifier.bibliographicCitationSENSORS, v.20, no.19, pp.1 - 17-
dc.relation.isPartOfSENSORS-
dc.citation.titleSENSORS-
dc.citation.volume20-
dc.citation.number19-
dc.citation.startPage1-
dc.citation.endPage17-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.subject.keywordPlusHEALTH-
dc.subject.keywordPlusSAFETY-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordPlusHOT-
dc.subject.keywordPlusEXERCISE-
dc.subject.keywordPlusINDUSTRY-
dc.subject.keywordAuthorphysiological data-
dc.subject.keywordAuthormonitoring-
dc.subject.keywordAuthorsmart band-
dc.subject.keywordAuthorconstruction worker-
dc.subject.keywordAuthorfuzzy logic-
dc.identifier.urlhttps://www.mdpi.com/1424-8220/20/19/5682-
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서울 공과대학 (서울 건설환경공학과)
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