| Abstract:Aiming at the problem of low timeliness of UAV meteorological detection data extraction and difficult to associate with actual data, a method of mining association rules of UAV meteorological detection data considering environmental characteristics is studied. Based on the wing type and engine performance, confirm the optimal meteorological detection environment, establish the UAV detection data mining model based on the association rule algorithm, compare the elevation change law, analyze the correlation between the characteristics of meteorological detection environment parameters and UAV meteorological detection data, and mine UAV meteorological detection data. The experimental results show that: Taking the 20 hour UAV meteorological detection time as the standard, on the basis of the continuous growth of meteorological data entries, this method can control the mining time within 4.8s, and in the process of relative humidity data association, it can be close to the actual data, ensure the timeliness of Meteorological data mining, and has practical application value. |
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