Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Wireless remote central monitoring system for freshwater lakes

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Byung Mun-
dc.contributor.authorKang, Un Gu-
dc.date.available2020-02-28T10:46:32Z-
dc.date.created2020-02-12-
dc.date.issued2015-06-
dc.identifier.issn1738-9984-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/11015-
dc.description.abstractThe management of water resources is closely related to human life. Thus the operation of various devices for water circulation, algae control and water quality control of scattered freshwater lakes is paramount. In this paper, the author designed and implemented a system which monitors water quality in real time. The subjects for monitoring include amount of sunlight collected from various types of photovoltaic inverters, power consumption and data from water quality analysis sensors, e.g. temperature, hydrogen-iron concentration (pH), amount of dissolved oxygen (DO), electrical conductivity (EC), chlorophyll-a (Chl-a), and turbidity. These were accumulated in a BD server on a real-time basis. By using this data, the author developed a system which facilitates real-time integrative monitoring and transmits an SMS alert in the event of an emergency. The suggested system is able to reduce time and manpower because there is no need to visit sites to measure the water quality, thereby increasing efficiency of water quality management and preventing disasters through real-time monitoring of water quality and swift reaction. © 2015 SERSC.-
dc.language영어-
dc.language.isoen-
dc.publisherScience and Engineering Research Support Society-
dc.relation.isPartOfInternational Journal of Software Engineering and its Applications-
dc.titleWireless remote central monitoring system for freshwater lakes-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.doi10.14257/ijseia.2015.9.6.22-
dc.identifier.bibliographicCitationInternational Journal of Software Engineering and its Applications, v.9, no.6, pp.235 - 246-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-84938684736-
dc.citation.endPage246-
dc.citation.startPage235-
dc.citation.titleInternational Journal of Software Engineering and its Applications-
dc.citation.volume9-
dc.citation.number6-
dc.contributor.affiliatedAuthorLee, Byung Mun-
dc.contributor.affiliatedAuthorKang, Un Gu-
dc.type.docTypeArticle-
dc.subject.keywordAuthorAlgae control-
dc.subject.keywordAuthorFreshwater lake-
dc.subject.keywordAuthorWater cycle-
dc.subject.keywordAuthorWater quality analysis-
dc.subject.keywordAuthorWater quality monitoring-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
IT융합대학 > 컴퓨터공학과 > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Kang, Un Gu photo

Kang, Un Gu
College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
Read more

Altmetrics

Total Views & Downloads

BROWSE