Journal of Atmospheric and Environmental Optics, Volume. 18, Issue 6, 532(2023)

Design of intelligent unmanned observation and operation system framework for cloud and fog environment

CAI Jun1, XU Liren2、*, SUN Haiyang2, ZHAO Yiming3, and DAI Xuebing3
Author Affiliations
  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
  • 2State Key Laboratory of Geo-Information Engineering, Xi'an 710054, China
  • 3Beijing Research Institute of Telemetry, Beijing 100094, China
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    In order to meet the observation and operation requirements of artificial cloud and fog environment, based on the advanced active microwave laser detection and sensor loads, route meteorological instruments and cloud catalytic seeding devices equipped on a unmanned aerial vehicle (UAV) platform, three-dimensional monitoring of cloud, rain, aerosol and wind below the route, the continuous observation of conventional meteorological elements such as temperature, humidity, pressure and wind speed on the route, and the sowing of cold cloud/warm cloud catalyst are realized respectively. Furthermore, an integrated control software is designed to realize the intelligent command and control of UAV and the observation and operation loads through data information link. And an intelligent unmanned observation and operation system, which integrates the observation, operation and evaluation of artificial cloud and fog, is developed finally to achieve the goals of multi-element fine observation, cold and warm cloud efficient catalytic operation, intelligent command and control, and quantitative evaluation.

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    Jun CAI, Liren XU, Haiyang SUN, Yiming ZHAO, Xuebing DAI. Design of intelligent unmanned observation and operation system framework for cloud and fog environment[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(6): 532

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    Paper Information

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    Received: Mar. 21, 2022

    Accepted: --

    Published Online: Dec. 22, 2023

    The Author Email: XU Liren (xuliren2016@sina.com)

    DOI:10.3969/j.issn.1673-6141.2023.06.003

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