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

  • Hyun-Jae Lee
  • Dong-Eun Kim
  • Jin-Geun ShonEmail author
  • Jae-Don Park
Original Article

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.

Keywords

Defuzzification correction operation Expert inference method Fire detection system Switchboard 

Notes

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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Copyright information

© The Korean Institute of Electrical Engineers 2019

Authors and Affiliations

  • Hyun-Jae Lee
    • 1
  • Dong-Eun Kim
    • 1
  • Jin-Geun Shon
    • 1
    Email author
  • Jae-Don Park
    • 2
  1. 1.Department of Electrical and Electronic EngineeringGachon UniversitySongnamKorea
  2. 2.Department of Heavy Electric BusinessEnersolar Co. LtdChuncheonKorea

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