MODULAR TIME SERIES DATA PREDICTION DEVICE, MODULAR TIME SERIES DATA PREDICTION METHOD, AND PROGRAM

Title:

MODULAR TIME SERIES DATA PREDICTION DEVICE, MODULAR TIME SERIES DATA PREDICTION METHOD, AND PROGRAM

Document Type and Number:

WIPO Patent Application WO/2022/239609

Kind Code:

A1

Abstract:

Provided is a modular time series data prediction device that logically explains a prediction result and that enables easy adjustment of the prediction result.　The device according to an embodiment includes: a function 2 for collecting and storing, at a prescribed cycle, time series data for a plurality of process variables, selecting an output variable to be predicted from among the plurality of process variables, and selecting an input variable candidate from among the plurality of process variables; a function 4 for defining a 1-input/1-output pairwise prediction model by using data for identifying a plurality of input variables and an output variable extracted from the time series data; a function 5 for defining a method for synthesizing prediction values of a plurality of pairwise prediction models; a function 6 for inputting prediction data for the plurality of input variables into a plurality of pairwise prediction models, and calculating prediction values corresponding respectively to the plurality of input variables; and a function 7 for calculating a prediction value for the output variable by synthesizing the plurality of prediction values according to the defined synthesis method.

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Inventors:

YAMANAKA OSAMU (JP)
HIRAOKA YUKIO (JP)

Application Number:

PCT/JP2022/018118

Publication Date:

November 17, 2022

Filing Date:

April 19, 2022

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Assignee:

TOSHIBA KK (JP)
TOSHIBA INFRASTRUCTURE SYSTEMS & SOLUTIONS CORP (JP)

International Classes:

G05B23/02

Foreign References:

JP2018116545A	2018-07-26
JP2016507113A	2016-03-07
JP2012515902A	2012-07-12
JP2005222444A	2005-08-18
JP2004062440A	2004-02-26
JP6261960B2	2018-01-17

Attorney, Agent or Firm:

KURATA, Masatoshi et al. (JP)

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