WIND CONDITION LEARNING DEVICE, WIND CONDITION PREDICTING DEVICE, AND DRONE SYSTEM

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United States of America Patent

APP PUB NO 20240337773A1
SERIAL NO

18746347

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Abstract

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A wind condition learning device according to the present disclosed technique includes: an input terminal to which a learning data set is input; and a calculator including AI to perform learning on the basis of the learning data set, in which one piece of the learning data set is a wind condition altitude distribution model value following a power law on an inflow side, and the other piece of the learning data set includes a wind speed average value, a wind speed maximum value, turbulence energy, or turbulence intensity in a wind condition distribution of an environmental space obtained by simulation.

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Patent Owner(s)

Patent OwnerAddress
MITSUBISHI ELECTRIC CORPORATION7-3 MARUNOUCHI 2-CHOME CHIYODA-KU TOKYO 1008310 ?1008310

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
IMAKI, Masaharu Tokyo, JP 37 203
ITO, Yusuke Tokyo, JP 94 687
KAMEYAMA, Shumpei Tokyo, JP 47 376

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