Title:
METHOD FOR CREATING MACHINE LEARNING MODEL FOR ESTIMATING STATE OF FLUID INSIDE TANK, AND METHOD FOR ESTIMATING STATE OF FLUID INSIDE TANK USING MACHINE LEARNING MODEL
Document Type and Number:
WIPO Patent Application WO/2024/090302
Kind Code:
A1
Abstract:
[Problem] To provide a method for creating a machine learning model capable of quickly and accurately estimating a state of the inside of a tank. [Solution] This method for creating a machine learning model for estimating the state of a fluid inside a tank includes: a step for creating a plurality of parameter sets by varying operating conditions and substance information, the parameter sets containing tank information including at least the shape and the dimensions of the tank, tank operating conditions, and substance information including at least the amount and the properties of a plurality of substances contained in the fluid; a step for performing numerical fluid dynamics analysis on the basis of the plurality of parameter sets, and acquiring a plurality of results of computation with respect to fluid information which includes at least substance amounts and the distribution of physical amounts relating to the fluid inside the tank; and a step for creating a machine learning model by performing machine learning using, as teaching data, the plurality of computation results corresponding to the plurality of parameter sets.
Inventors:
YASUI TAKEHITO (JP)
ITO YUZURU (JP)
KITAMOTO JUNKO (JP)
SUGIYAMA SATOSHI (JP)
ITO YUZURU (JP)
KITAMOTO JUNKO (JP)
SUGIYAMA SATOSHI (JP)
Application Number:
PCT/JP2023/037667
Publication Date:
May 02, 2024
Filing Date:
October 18, 2023
Export Citation:
Assignee:
CHIYODA CORP (JP)
International Classes:
C12M1/34; G06N20/00
Domestic Patent References:
| WO2020189219A1 | 2020-09-24 | |||
| WO2020039683A1 | 2020-02-27 | |||
| WO2020021860A1 | 2020-01-30 |
Foreign References:
| JP2006296423A | 2006-11-02 |
Other References:
安井威公, プロセス産業のスマート化への挑戦-Smart Manufacturing, Industrie 4.0, IoT-AI 活用によるプロセスプラント運転･保守最適化への道, 化学工学, 05 April 2019, vol. 83, no. 4, pages 226-228, (Chemical Engineering of Japan.), non-official translation (YASUI, Takehiko. The challenge of making the process industry smarter-Smart Manufacturing, Industrie 4.0, IoT-The road to optimizing process plant operation and maintenance using AI.)
Attorney, Agent or Firm:
OSHIMA & PARTNERS (JP)
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