File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

이영주

Lee, Young-Joo
Structural Reliability and Disaster Risk Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.endPage 1786 -
dc.citation.number 8 -
dc.citation.startPage 1775 -
dc.citation.title SENSORS AND MATERIALS -
dc.citation.volume 30 -
dc.contributor.author Smaoui, Nour -
dc.contributor.author Kim, Kyungki -
dc.contributor.author Gnawali, Omprakash -
dc.contributor.author Lee, Young-Joo -
dc.contributor.author Suh, Wonho -
dc.date.accessioned 2023-12-21T20:36:39Z -
dc.date.available 2023-12-21T20:36:39Z -
dc.date.created 2018-04-24 -
dc.date.issued 2018-08 -
dc.description.abstract Construction activities, involving cutting, drilling, and grinding of materials, often produce toxic respirable dust that can cause fatal diseases and illnesses. To protect workers from breathing excessive amounts of respirable dust at job sites, superintendents should continuously monitor the level of respirable dust in workspaces and make timely interventions for over-exposed workers. However, current practices of respirable dust monitoring have critical drawbacks, and superintendents cannot accurately estimate workers’ exposures to respirable dust or make prompt decisions to protect the workers. Therefore, there is a need for real-time air dust monitoring that can be deployed ubiquitously at a construction site and be integrated as part of daily construction management. In this research, we developed a real-time dust monitoring system that comprises a network of low-cost mobile dust sensors and visualization in building information modeling (BIM). Single-board computers and dust sensors were integrated as field deployment units. Inaccurate sensors were calibrated automatically on the basis of an accurate ground truth sensor. A BIM-based visualization system was developed to present the data collected from dust sensors in real time. A prototype system was developed and tested in a controlled environment. -
dc.identifier.bibliographicCitation SENSORS AND MATERIALS, v.30, no.8, pp.1775 - 1786 -
dc.identifier.doi 10.18494/SAM.2018.1871 -
dc.identifier.issn 0914-4935 -
dc.identifier.scopusid 2-s2.0-85052653856 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/24037 -
dc.identifier.url http://myukk.org/SM2017/article.php?ss=1871 -
dc.identifier.wosid 000441725100017 -
dc.language 영어 -
dc.publisher MYU -
dc.title Respirable Dust Monitoring in Construction Sites and Visualization in Building Information Modeling Using Real-time Sensor Data -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Instruments & Instrumentation; Materials Science, Multidisciplinary -
dc.relation.journalResearchArea Instruments & Instrumentation; Materials Science -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor dust monitoring -
dc.subject.keywordAuthor sensor data -
dc.subject.keywordAuthor BIM -
dc.subject.keywordAuthor real-time monitoring -
dc.subject.keywordAuthor construction site monitoring -
dc.subject.keywordPlus SAFETY -
dc.subject.keywordPlus SYSTEM -
dc.subject.keywordPlus BIM -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.