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Switchboard Fire Detection System Using Expert Inference Method Based on Improved Fire Discrimination

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Abstract

This paper proposes a switchboard fire detection system that uses the expert inference method based on improved fire probability for accurate fire identification. The conventional expert inference method has a disadvantage in that the range of the evaluation index for fire probability is limited because the defuzzification process uses a quantified set shape. To overcome this problem, we propose an improved expert inference method that uses a defuzzification correction operation after defuzzification. This technique applies a quadratic function to a range of reduced fire potentials, and then gradually expands the reduced range. The fire probability range was expanded using the improved expert inference method with the defuzzification correction operation, which also extended the fire detection range. As a result, it is expected that the fire awareness of this watchdog can be improved by the defuzzification correction operation.

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Acknowledgements

This work was supported by the Enersolar Co., Ltd. And this research was also supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy(MOTIE) of the Republic of Korea (No. 20174030201470).

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Gachon University, Songnam, Gyeonggi-do, Korea

    Hyun-Jae Lee, Dong-Eun Kim & Jin-Geun Shon

  2. Department of Heavy Electric Business, Enersolar Co. Ltd, Chuncheon, Gyeonggi-do, Korea

    Jae-Don Park

Authors
  1. Hyun-Jae Lee
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  2. Dong-Eun Kim
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  3. Jin-Geun Shon
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  4. Jae-Don Park
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Correspondence to Jin-Geun Shon.

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Lee, HJ., Kim, DE., Shon, JG. et al. Switchboard Fire Detection System Using Expert Inference Method Based on Improved Fire Discrimination. J. Electr. Eng. Technol. 14, 1007–1015 (2019). https://doi.org/10.1007/s42835-019-00092-2

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  • DOI: https://doi.org/10.1007/s42835-019-00092-2

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