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Design and Implementation of IoT-Based Intelligent Condition Management System for the Industrial Facilities

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Internet of Things. User-Centric IoT (IoT360 2014)

Abstract

A condensation phenomenon occurs when the water vapor in the air turn into water droplets. Many industrial facilities are damaged by the condensation phenomenon. An ammunition storage is one of the facilities that are damaged by this phenomenon. Therefore, this paper proposes an IoT-based intelligent condition management system (ICMS) in for the industrial facilities. The proposed system prevents a condensation phenomenon by measuring the temperature and humidity and provides alerting service about intrusion and gas exposure through a smartphone application. Therefore, it has become possible to manage the ammunition efficiently.

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References

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Acknowledgments

This work was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (NIPA-2014-H0301-14-1044) supervised by the NIPA (National IT Industry Promotion Agency), and by the Human Resources Development (No. 20124030200060) and the Energy Efficiency & Resources (No. 20132010101850) of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant funded by the Korea government Ministry of Trade, Industry and Energy.

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Correspondence to Sehyun Park .

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Lee, J., Seo, S., Choi, Mi., Hwang, Y., Lee, T., Park, S. (2015). Design and Implementation of IoT-Based Intelligent Condition Management System for the Industrial Facilities. In: Giaffreda, R., et al. Internet of Things. User-Centric IoT. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 150. Springer, Cham. https://doi.org/10.1007/978-3-319-19656-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-19656-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19655-8

  • Online ISBN: 978-3-319-19656-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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