The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 15, 2021

Filed:

Feb. 04, 2019
Applicant:

Hitachi, Ltd., Tokyo, JP;

Inventors:

Kanako Esaki, Tokyo, JP;

Kohsei Matsumoto, Tokyo, JP;

Kiyoto Ito, Tokyo, JP;

Yuzo Shirakawa, Tokyo, JP;

Hiroto Naito, Tokyo, JP;

Assignee:

Hitachi, Ltd., Tokyo, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06G 7/70 (2006.01); F02D 41/26 (2006.01); F02D 41/00 (2006.01); F02D 41/24 (2006.01); F02D 19/06 (2006.01); G05B 13/02 (2006.01); G06N 20/00 (2019.01); F02D 35/02 (2006.01); F02D 41/14 (2006.01);
U.S. Cl.
CPC ...
F02D 41/263 (2013.01); F02D 19/0652 (2013.01); F02D 41/0025 (2013.01); F02D 41/2451 (2013.01); F02D 41/2477 (2013.01); F02D 35/023 (2013.01); F02D 41/2441 (2013.01); F02D 2041/1433 (2013.01); F02D 2200/0614 (2013.01); F02D 2200/0618 (2013.01); G05B 13/0265 (2013.01); G06N 20/00 (2019.01);
Abstract

According to one embodiment, a machine control system includes: a selecting unit which acquires a state quantity of a machine converted from data acquired by a sensor provided in the machine to select two or more learning models according to the acquired state quantity; a composing unit which inputs the state quantity acquired by the selecting unit to each of the two or more learning models selected by the selecting unit to calculate a composed value using a command value output from each of the learning models; and a learning unit which outputs a command value with respect to the machine in a range based on the composed value calculated by the composing unit, acquires a state quantity of the machine, searches for a command value of a specific condition from a combination of the output command value and the acquired state quantity, and outputs the searched command value to the machine, thereby creating a new learning model.


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