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A Study on Development of Small Sensor Observation System Based on IoT Using Drone

드론을 활용한 IoT기반의 소형센서 관측시스템 개발 가능성에 대한 소고

  • Ahn, Yoseop (Environmental GIS/RS center, Korea University) ;
  • Moon, Jongsub (Department of Electronics & Information Engineering, Korea University) ;
  • Kim, Baek-Jo (Applied Meteorology Research Laboratory, National Institute of Meteorological Research) ;
  • Lee, Woo-Kyun (Division of Environmental Science & Ecological Engineering) ;
  • Cha, Sungeun (Division of Environmental Science & Ecological Engineering)
  • 안요섭 (고려대학교 환경 GIS/RS센터) ;
  • 문종섭 (고려대학교 전자정보공학과) ;
  • 김백조 (국립기상과학원 응용기상연구과) ;
  • 이우균 (고려대학교 환경생태공학과) ;
  • 차성은 (고려대학교 환경생태공학과)
  • Received : 2018.04.26
  • Accepted : 2018.09.13
  • Published : 2018.11.30

Abstract

We developed a small sensor observation system (SSOS) at a relatively low cost to observe the atmospheric boundary layer. The accuracy of the SSOS sensor was compared with that of the automatic weather system (AWS) and meteorological tower at the Korea Meteorological Administration (KMA). Comparisons between SSOS sensors and KMA sensors were carried out by dividing into ground and lower atmosphere. As a result of comparing the raw data of the SSOS sensor with the raw data of AWS and the observation tower by applying the root-mean-square-error to the error, the corresponding values were within the error tolerance range (KMA meteorological reference point: humidity ${\pm}5%$, atmospheric pressure ${\pm}0.5hPa$, temperature ${\pm}0.5^{\circ}C$. In the case of humidity, even if the altitude changed, it tends to be underestimated. In the case of temperature, when the altitude rose to 40 m above the ground, the value changed from underestimation to overestimation. However, it can be confirmed that the errors are within the KMA's permissible range after correction.

Keywords

References

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