Title:
WIND CONDITION LEARNING DEVICE, WIND CONDITION PREDICTING DEVICE, AND DRONE SYSTEM
Document Type and Number:
WIPO Patent Application WO/2023/152862
Kind Code:
A1
Abstract:
A wind condition learning device according to the present disclosure comprises an input unit (32) that receives input of a training data set, and an arithmetic unit (34) with an AI that performs learning on the basis of the training data set. One side of the training data set is a wind condition altitude distribution model value that follows a power law on the inflow side, and the other side of the training data set includes a wind speed average value, a wind speed maximum value, a turbulence energy, or a turbulence intensity in the wind condition distribution of an environment space obtained by simulation.
Inventors:
IMAKI MASAHARU (JP)
KAMEYAMA SHUMPEI (JP)
ITO YUSUKE (JP)
KAMEYAMA SHUMPEI (JP)
ITO YUSUKE (JP)
Application Number:
PCT/JP2022/005311
Publication Date:
August 17, 2023
Filing Date:
February 10, 2022
Export Citation:
Assignee:
MITSUBISHI ELECTRIC CORP (JP)
International Classes:
B64C39/00; G01W1/00; G01W1/10; G08G9/00
Domestic Patent References:
| WO2021039164A1 | 2021-03-04 | |||
| WO2022029847A1 | 2022-02-10 |
Foreign References:
| JP2019089538A | 2019-06-13 | |||
| JP2017102760A | 2017-06-08 | |||
| JP2020159725A | 2020-10-01 | |||
| JP2021043598A | 2021-03-18 | |||
| JP2018142302A | 2018-09-13 | |||
| CN112782660A | 2021-05-11 | |||
| US20190271563A1 | 2019-09-05 | |||
| JP2021111090A | 2021-08-02 | |||
| JP2021056073A | 2021-04-08 | |||
| CN113536685A | 2021-10-22 | |||
| US20110172920A1 | 2011-07-14 | |||
| JP2019022258A | 2019-02-07 | |||
| JPH06110860A | 1994-04-22 |
Attorney, Agent or Firm:
SANNO PATENT ATTORNEYS OFFICE (JP)
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