A simulation method of ocean wind speed based on anti-pulse average filter method and first-order lag filter method

Abstract

The present invention provides an ocean wind speed simulation method based on the anti-pulse average filter method and the first-order lag filter method, comprising: step 1: using unmanned aerial vehicles to collect wind speed data at sampling points of ocean data to obtain ocean wind speed data sets; step 2: Extract and count the sampled ocean wind speed data to obtain the sea surface wind speed reference value, judge the reasonable threshold value of the sea surface wind speed reference value, and preprocess the ocean wind speed data set by gradually approaching the threshold setting method; Step 3: preprocess Good ocean wind speed data is processed by anti-pulse average filtering to obtain primary filtered data; step 4: perform primary lag filtering on primary filtered data to obtain secondary filtered data. The invention performs effective filtering processing on the ocean wind speed data; improves the accuracy and precision of the measurement data collected by the unmanned aerial vehicle and is easily disturbed by unstable factors; through the combination of two classic algorithms, the improvement of the filtering algorithm is provided. a new path.

Description

technical field [0001] The invention relates to the field of meteorological data acquisition by unmanned aerial vehicles, in particular to the field of data processing for measuring disturbed wind fields under the steady movement of unmanned aerial vehicles. Background technique [0002] At present, marine data collection mainly uses aerial remote sensing, satellite remote sensing, marine data buoys, seabed-based automatic observation and other means, and basically adopts the method of long-distance data collection and transmission to the station, but this method has obvious lack of data accuracy However, the emergence of drones to collect marine data has solved this problem very well, and it does not need to collect data at close range like marine survey ships, but the data collected by drones is due to the disturbance wind Field interference, so there are too many noise points in the data itself, and the information accuracy is not enough, and the present invention solves ...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of insufficient accuracy and precision of ocean data collected by existing unmanned aerial vehicles, the present invention provides an ocean wind speed simulation method based on the anti-pulse average filter method and the first-order lag filter method, which can well solve the problem of unmanned The wind field interference problem caused by the disturbance of the machine itself

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