RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      드론 기반 대기환경 이상 물질 감지 및 대응 시스템 = Development of a Drone-Based Abnormal Atmospheric Substance Detection and Response System

      한글로보기

      https://www.riss.kr/link?id=A109765568

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Industrialization and urbanization have diversified sources of air pollution, while climate change complicates pollutant movement. Traditional stationary air monitoring systems are limited in coverage. They also fail to respond quickly to local changes. To solve these problems, we proposed a drone-based system equipped with various air quality sensors. Drones can detect excessive pollutant levels in real time during flight and enable precise observation and analysis of the affected areas. The developed device can collect air quality data and issue warnings when hazards are detected. Virtual simulations and experiments confirmed the system's effectiveness in monitoring pollution, identifying problems, and conducting reconnaissance.
      번역하기

      Industrialization and urbanization have diversified sources of air pollution, while climate change complicates pollutant movement. Traditional stationary air monitoring systems are limited in coverage. They also fail to respond quickly to local change...

      Industrialization and urbanization have diversified sources of air pollution, while climate change complicates pollutant movement. Traditional stationary air monitoring systems are limited in coverage. They also fail to respond quickly to local changes. To solve these problems, we proposed a drone-based system equipped with various air quality sensors. Drones can detect excessive pollutant levels in real time during flight and enable precise observation and analysis of the affected areas. The developed device can collect air quality data and issue warnings when hazards are detected. Virtual simulations and experiments confirmed the system's effectiveness in monitoring pollution, identifying problems, and conducting reconnaissance.

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼