등록
극미량 가스성분 탐지를 위한 센서 어래이 장치 및 딥러닝 방법
- 발명자
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최재훈, 박흰돌, 안창근, 김도현, 장용원, 노형욱, 김승환, 정광효
- 출원번호
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17401449 (2021.08.13)
- 공개번호
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20220170900 (2022.06.02)
- 등록번호
- 11747314 (2023.09.05)
- 출원국
- 미국
- 협약과제
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20HR5500, Sub-ppb급 가스성분 감지를 위한 후각지능 기술 개발,
김승환
- 초록
- Disclosed are a gas detection intelligence training system and an operating method thereof. The gas detection intelligence training system includes a mixing gas measuring device that collects an environmental gas from a surrounding environment, generates a mixing gas based on the collected environmental gas and a target gas, senses the mixing gas by using a first sensor array and a second sensor array under a first sensing condition and a second sensing condition, respectively, and generates measurement data based on the sensed results of the first sensor array and the second sensor array, and a detection intelligence training device including a processor that generates an ensemble prediction model based on the measurement data.
- KSP 제안 키워드
- Ensemble prediction, Gas detection, Sensor array, Surrounding environment, Target gas, Training device, Training system, measurement data, measuring device, model-based, prediction model
- 패밀리
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