Journal of the Society of Naval Architects of Korea (대한조선학회논문집)

The Society of Naval Architects of Korea (대한조선학회)
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Study on Modeling and Simulation for Fire Localization Using Bayesian Estimation

화원 위치 추정을 위한 베이시안 추정 기반의 모델링 및 시뮬레이션 연구

  • Kim, Taewan (Department of Mechanical & Systems Engineering, Korea Military Academy) ;
  • Kim, Soo Chan (Department of Mechanical & Systems Engineering, Korea Military Academy) ;
  • Kim, Jong-Hwan (Department of Mechanical & Systems Engineering, Korea Military Academy)
  • 김태완 (육군사관학교 기계시스템공학과) ;
  • 김수찬 (육군사관학교 기계시스템공학과) ;
  • 김종환 (육군사관학교 기계시스템공학과)
  • Received : 2021.07.19
  • Accepted : 2021.11.19
  • Published : 2021.12.20
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Abstract

Fire localization is a key mission that must be preceded for an autonomous fire suppression system. Although studies using a variety of sensors for the localization are actively being conducted, the fire localization is still unfinished due to the high cost and low performance. This paper presents the modeling and simulation of the fire localization estimation using Bayesian estimation to determine the probabilistic location of the fire. To minimize the risk of fire accidents as well as the time and cost of preparing and executing live fire tests, a 40m × 40m-virtual space is created, where two ultraviolet sensors are simulated to rotate horizontally to collect ultraviolet signals. In addition, Bayesian estimation is executed to compute the probability of the fire location by considering both sensor errors and uncertainty under fire environments. For the validation of the proposed method, sixteen fires were simulated in different locations and evaluated by calculating the difference in distance between simulated and estimated fire locations. As a result, the proposed method demonstrates reliable outputs, showing that the error distribution tendency widens as the radial distance between the sensor and the fire increases.

Keywords

Acknowledgement

본 연구는 대한민국 정부 산업통상자원부 및 방위사업청 재원으로 민군협력진흥원에서 수행하는 민군기술협력사업의 연구비 지원으로 수행되었습니다. 협약번호(No. 18CM5061).

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