IoT module improves smart environment reliability

Enver Derun Karabeyolu, Tufan Coskun Karalar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Many mission critical infrastructure systems directly impact the longevity and the usefulness of the systems they support. Heating and cooling equipment (HVAC) are important support equipment for sensitive industrial systems including manufacturing, IT, high tech testing and measuring equipment. Therefore it is important to monitor functionality and health of this sensitive equipment. Moreover, it is critical to track failures in these systems as they are indicative of future outages of the supported systems. In this paper, we present an IoT based module that monitors the heating cooling element. The module can detect outages in HVAC equipment and notify operators about the sensitive system failures following these events. The module has been deployed to find that it detects the system failures can relay this information to operators to act timely. Therefore, improves the system reliability. Moreover, the module can support logging of HVAC equipment as well as supported sensitive equipment power usage to generate usage patterns and allow operators identify key trends and potential problems.

Original languageEnglish
Title of host publicationRTSI 2017 - IEEE 3rd International Forum on Research and Technologies for Society and Industry, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538639061
DOIs
Publication statusPublished - 11 Oct 2017
Event3rd IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2017 - Modena, Italy
Duration: 11 Sept 201713 Sept 2017

Publication series

NameRTSI 2017 - IEEE 3rd International Forum on Research and Technologies for Society and Industry, Conference Proceedings

Conference

Conference3rd IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2017
Country/TerritoryItaly
CityModena
Period11/09/1713/09/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • data fusion
  • industry4.0
  • Internet of Things
  • quality of infrastructure
  • quality of service

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