Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Development of Rainfall Information Production Technology Using Optical Sensors (Estimation of Real-Time Rainfall Information Using Optima Rainfall Intensity Technique)

광학센서를 이용한 강우정보 생산기법 개발 (최적 강우강도 기법을 이용한 실시간 강우정보 산정)

  • Lee, Byung-Hyun (Department of Urban and Environmental and Disaster Management, Graduate School of Disaster Prevention, Kangwon National University) ;
  • Kim, Byung-Sik (Department of Urban and Environmental and Disaster Management, Graduate School of Disaster Prevention, Kangwon National University) ;
  • Lee, Young-Mi (ECOBRAIN Co. Ltd.) ;
  • Oh, Cheong-Hyeon (Department of Urban and Environmental and Disaster Management, Graduate School of Disaster Prevention, Kangwon National University) ;
  • Choi, Jung-Ryel (Department of Urban and Environmental and Disaster Management, Graduate School of Disaster Prevention, Kangwon National University) ;
  • Jun, Weon-Hyouk (Department of Urban and Environmental and Disaster Management, Graduate School of Disaster Prevention, Kangwon National University)
  • 이병현 (강원대학교 방재전문대학원) ;
  • 김병식 (강원대학교 방재전문대학원) ;
  • 이영미 ((주)에코브레인) ;
  • 오청현 (강원대학교 방재전문대학원) ;
  • 최정렬 (강원대학교 방재전문대학원) ;
  • 전원혁 (강원대학교 방재전문대학원)
  • Received : 2021.12.06
  • Accepted : 2021.12.28
  • Published : 2021.12.31
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Abstract

In this study, among the W-S-R(Wiper-Signal-Rainfall) relationship methods used to produce sensor-based rain information in real time, we sought to produce actual rainfall information by applying machine learning techniques to account for the effects of wiper operation. To this end, we used the gradient descent and threshold map methods for pre-processing the cumulative value of the difference before and after wiper operation by utilizing four sensitive channels for optical sensors which collected rain sensor data produced by five rain conditions in indoor artificial rainfall experiments. These methods produced rainfall information by calculating the average value of the threshold according to the rainfall conditions and channels, creating a threshold map corresponding to the 4 (channel) × 5 (considering rainfall information) grid and applying Optima Rainfall Intensity among the big data processing techniques. To verify these proposed results, the application was evaluated by comparing rainfall observations.

Keywords

Acknowledgement

본 연구는 한국기상산업기술원 미래유망 민간기상서비스 성장기술개발사업(KMI2019-00410)의 지원을 받아 수행되었습니다.

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