Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
PAYLOAD MANAGEMENT APPARATUS AND PAYLOAD MANAGEMENT METHOD
Document Type and Number:
WIPO Patent Application WO/2024/014086
Kind Code:
A1
Abstract:
The present invention provides a payload management apparatus that calculates a weight that can safely be loaded on an aircraft of the rotary wing type, suppresses a decrease in transport efficiency, and increases flight safety of the aircraft of the rotary wing type. The payload management apparatus 1 manages payloads 25A to 25D that are to be loaded on rotary-wing moving bodies 20A to 20C. The payload management apparatus 1 comprises: a meteorological prediction data acquisition unit 2 that acquires meteorological prediction data for an airspace where the moving bodies 20A to 20C fly; a disturbance predicting unit 3 that predicts disturbance that acts on the moving bodies 20A to 20C on the basis of the meteorological prediction data acquired by the meteorological prediction data acquisition unit 2, specifications of the moving bodies 20A to 20C, and a planned flight path 31; a load weight setting unit 4 that sets loadable weight ranges for the moving bodies 20A to 20C on the basis of the disturbance predicted by the disturbance predicting unit 3 and the specifications of the moving bodies 20A to 20C; and a load weight output unit 5 that outputs the loadable weight ranges set by the load weight setting unit 4.

Inventors:
SHIMIZU TAKU (JP)
ITO TAKAHIRO (JP)
BANDO MIKIO (JP)
MATSUBARA MITSURU (JP)
Application Number:
PCT/JP2023/015849
Publication Date:
January 18, 2024
Filing Date:
April 21, 2023
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
HITACHI LTD (JP)
International Classes:
B64C27/08; B64F1/36; B64C39/02; B64U10/10; B64U80/82; B64U101/64
Domestic Patent References:
WO2022249319A12022-12-01
Foreign References:
JP2020152522A2020-09-24
JP2011013023A2011-01-20
JP2017096704A2017-06-01
Attorney, Agent or Firm:
KAICHI IP (JP)
Download PDF:



 
Previous Patent: CHILD CAR SEAT

Next Patent: PREDICTIVELY ROBUST MODEL TRAINING