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Smart Power Management Using RTOS-based Uninterruptable Generator Supply

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dc.contributor.author이철주-
dc.contributor.author강경태-
dc.contributor.author노동건-
dc.date.accessioned2021-06-22T17:45:03Z-
dc.date.available2021-06-22T17:45:03Z-
dc.date.issued2016-06-
dc.identifier.issn1598-849X-
dc.identifier.issn2383-9945-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/15172-
dc.description.abstractAn uninterruptible power supply (UPS) allows small companies and domestic users to cope with power outages; but existing designs lack flexibility of control and require expensive battery maintenance, with a cost proportional to the outage compensation time. We combine a compact synchronous generator with a battery, with 10% of the capacity that would otherwise be required, to obtain a UPS with reduced maintenance costs for the same performance. Any UPS must respond immediately to a power loss, and our uninterruptible generator supply (UGS) is therefore built around real-time scheduling of its internal operations; this also makes it suitable for integration into the industrial gateway. The UGS is based on a real-time operating system, with an integrated wireless module providing connectivity to a web server, for monitoring and management, which can be performed remotely on a mobile device.-
dc.format.extent7-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국컴퓨터정보학회-
dc.titleSmart Power Management Using RTOS-based Uninterruptable Generator Supply-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.9708/jksci.2016.21.6.001-
dc.identifier.bibliographicCitation한국컴퓨터정보학회논문지, v.21, no.6, pp 1 - 7-
dc.citation.title한국컴퓨터정보학회논문지-
dc.citation.volume21-
dc.citation.number6-
dc.citation.startPage1-
dc.citation.endPage7-
dc.identifier.kciidART002120193-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorUninterruptable generator supply-
dc.subject.keywordAuthorReal-time OS-
dc.subject.keywordAuthorMonitoring server-
dc.subject.keywordAuthorMobile device-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06699576-
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Kang, Kyung tae
ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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