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IoT 기반의 건설현장 미세먼지 모니터링 시스템 개발에 관한 연구

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dc.contributor.author김현식-
dc.contributor.author태성호-
dc.date.accessioned2023-09-04T05:42:32Z-
dc.date.available2023-09-04T05:42:32Z-
dc.date.issued2021-11-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114876-
dc.description.abstractRecently, particulate matter(PM) caused by internal factors such as industrialization and urbanization as well as external factors such as Asian dust is a serious problem in Korea. In particular, while the emission due to construction appears to be very serious among the internal factors, it is necessary to manage PM in consideration of the characteristics of construction sites. Accordingly, in this study, a PM management system suitable for construction sites was developed to reduce civil complaints caused by PM and to minimize damage to field workers and nearby residents by supporting the fine dust management system of the state and local governments. The factors to be considered when measuring PM due to the specificity of construction sites were considered, and the system components were developed based on the considerations. As a result, an IoT based construction site PM monitoring system (CPMS) that integrates each component was established.-
dc.format.extent2-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국건축시공학회-
dc.titleIoT 기반의 건설현장 미세먼지 모니터링 시스템 개발에 관한 연구-
dc.title.alternativeParticulate Matter Monitoring System Based on IoT for Construction Sites-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation한국건축시공학회 2021 가을학술발표대회 논문집, v.21, no.2, pp 40 - 41-
dc.citation.title한국건축시공학회 2021 가을학술발표대회 논문집-
dc.citation.volume21-
dc.citation.number2-
dc.citation.startPage40-
dc.citation.endPage41-
dc.type.docTypeProceeding-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthor:건설현장-
dc.subject.keywordAuthor미세먼지-
dc.subject.keywordAuthor모니터링-
dc.subject.keywordAuthor사물인터넷-
dc.subject.keywordAuthor: construction site-
dc.subject.keywordAuthorparticulate matter-
dc.subject.keywordAuthormonitoring-
dc.subject.keywordAuthorIoT-
dc.identifier.urlhttps://kiss.kstudy.com/Detail/Ar?key=3912143-
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