Computer system and apparatus condition search support method

Patent metadata

Field	Value
Publication number	US-2024353803-A1
Application number	US-202218684866-A
Country	US
Kind code	A1
Filing date	Aug 12, 2022
Priority date	Nov 4, 2021
Publication date	Oct 24, 2024
Grant date	—

Abstract

A computer system is configured to: receive input of a plurality of pieces of learning data, a piece of learning data includes a combination of a value of at least one input parameter which is the apparatus condition and a value of at least one output parameter which is a result of processing; analyze a structure of manufacturing steps of the processing in a piece of standard learning data and a structure of manufacturing steps of the processing in a piece of other learning data; execute, based on a result of the analysis, classification processing of identifying a piece of learning data which is aggregable with a same dataset as the piece of standard learning data; generate a dataset; execute processing of training a model; execute search processing of searching for the value of the at least one input parameter; and present a result of the search processing.

First claim

What is claimed is:

1 . A computer system for supporting a search for an apparatus condition for controlling a manufacturing apparatus that performs processing, the computer system comprising at least one computer including:
a calculation device; a storage device coupled to the calculation device; and a coupling interface coupled to the calculation device, the processing including at least one manufacturing step, the computer system being configured to: present a first interface for receiving input of a plurality of pieces of learning data, a piece of learning data includes a combination of a value of at least one input parameter which is the apparatus condition and a value of at least one output parameter which is a result of the processing; store the plurality of pieces of learning data input via the first interface in the storage device; analyze a structure of the at least one manufacturing step of the processing in a piece of standard learning data and a structure of the at least one manufacturing step of the processing in a piece of other learning data, and based on a result of the analysis, execute classification processing of identifying a piece of learning data which is aggregable with a same dataset as the piece of standard learning data; generate a dataset by aggregating the plurality of pieces of learning data based on a result of the classification processing; execute, by using the dataset, processing of training a model for predicting the value of the at least one output parameter from the value of the at least one input parameter, and store the generated model in the storage device; execute search processing of searching for the value of the at least one input parameter based on the model and a target value of the at least one output parameter; and present a second interface for displaying a result of the search processing.

2 . The computer system according to claim 1 ,
wherein the computer system is configured to: select the piece of standard learning data from among the plurality of pieces of learning data; select a piece of target learning data from among the plurality of pieces of learning data; determine that the piece of target learning data is aggregable with the same dataset as the piece of standard learning data in a case where all manufacturing steps of the processing in the piece of target learning data are included in the processing of the piece of standard learning data, and an execution order of all the manufacturing steps of the processing in the piece of target learning data matches an execution order of the processing of the piece of standard learning data.

3 . The computer system according to claim 2 , wherein the computer system is configured to format, in a case where the dataset is generated by using at least one of piece of learning data which is aggregable with the piece of standard learning data, the at least one of piece of learning data which is aggregable such that the structure of the at least one manufacturing step of the processing in the at least one of piece of learning data which is aggregable is the same as the structure of the at least one manufacturing step of the processing in the piece of standard learning data.

4 . The computer system according to claim 2 , wherein the computer system is configured to present a third interface for specifying the piece of standard learning data.

5 . The computer system according to claim 2 , wherein the computer system is configured to present a fourth interface for selecting at least one learning data to be aggregated.

6 . An apparatus condition search support method of supporting a search for an apparatus condition for controlling a manufacturing apparatus that performs processing, the apparatus condition search support method being executed by a computer system,
the computer system including at least one computer including: a calculation device; a storage device coupled to the calculation device; and a coupling interface coupled to the calculation device, the processing including at least one manufacturing step, the apparatus condition search support method including: a first step of presenting, by the at least one computer, a first interface for receiving input of a plurality of pieces of learning data, a piece of learning data includes a combination of a value of at least one input parameter which is the apparatus condition and a value of at least one output parameter which is a result of the processing; a second step of storing, by the at least one computer, the plurality of pieces of learning data input via the first interface in the storage device; a third step of analyzing, by the at least one computer, a structure of the at least one manufacturing step of the processing in a piece of standard learning data and a structure of the at least one manufacturing step of the processing in a piece of other learning data, and based on a result of the analysis, execute classification processing of identifying a piece of learning data which is aggregable with a same dataset as the piece of standard learning data; a fourth step of generating, by the at least one computer, a dataset by aggregating the plurality of pieces of learning data based on a result of the classification processing; a fifth step of executing, by the at least one computer, by using the dataset, processing of training a model for predicting the value of the at least one output parameter from the value of the at least one input parameter, and storing the generated model in the storage device; a sixth step of executing, by the at least one computer, search processing of searching for the value of the at least one input parameter based on the model and a target value of the at least one output parameter; and a seventh step of presenting, by the at least one computer, a second interface for displaying a result of the search processing.

7 . The apparatus condition search support method according to claim 6 , wherein the third step includes the steps of:
selecting, by the at least one computer, the piece of standard learning data from among the plurality of pieces of learning data; selecting, by the at least one computer, a piece of target learning data from among the plurality of pieces of learning data; and determining, by the at least one computer, that the piece of target learning data is aggregable with the same dataset as the piece of standard learning data in a case where all manufacturing steps of the processing in the piece of target learning data are included in the processing of the piece of standard learning data, and an execution order of all the manufacturing steps of the processing in the piece of target learning data matches an execution order of the processing of the piece of standard learning data.

8 . The apparatus condition search support method according to claim 7 , wherein the fourth step includes a step of formatting, by the at least one computer, at least one of piece of learning data which is aggregable such that the structure of the at least one manufacturing step of the processing in the at least one of piece of learning data which is aggregable is the same as the structure of the at least one manufacturing step of the processing in the piece of standard learning data.

9 . The apparatus condition search support method according to claim 7 , wherein the third step includes a step of presenting, by the at least one computer, a third interface for specifying the piece of standard learning data.

10 . The apparatus condition search support method according to claim 7 , wherein the fourth step includes a step of presenting, by the at least one computer, a fourth interface for selecting at least on

Assignees

• Hitachi Ltd

Inventors

• Ohmori Takeshi
• Okuyama Yutaka
• Nakada Hyakka

Classifications

• G05B13/0265 Primary

  the criterion being a learning criterion · CPC title

• G06N20/00 Primary

  Machine learning · CPC title

• G06N99/00

  Subject matter not provided for in other groups of this subclass · CPC title