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

doi:10.3969/j.issn.1673-6141.2023.06.003

Journal of Atmospheric and Environmental Optics ›› 2023, Vol. 18 ›› Issue (6): 532-540.doi: 10.3969/j.issn.1673-6141.2023.06.003

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

CAI Jun 1, XU Liren 2*, SUN Haiyang 2, ZHAO Yiming 3, DAI Xuebing 3

1 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China; 2 State Key Laboratory of Geo-Information Engineering, Xi'an 710054, China; 3 Beijing Research Institute of Telemetry, Beijing 100094, China

Received:2022-03-21 Revised:2022-05-04 Online:2023-11-28 Published:2023-12-04
Contact: Jun Cai JunCAI E-mail:xuliren2004@sohu.com

Abstract

Abstract: 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.

Key words: intelligence, unmanned observation and operation, cloud and fog environment, weather modification

CLC Number:

TP29

CAI Jun , XU Liren , SUN Haiyang , ZHAO Yiming , DAI Xuebing . Design of intelligent unmanned observation and operation system framework for cloud and fog environment[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(6): 532-540.

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

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