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:
Jul. 16, 2019

Filed:

Oct. 28, 2015
Applicant:

Mitsubishi Electric Corporation, Chiyoda-ku, JP;

Inventors:

Masae Sawada, Chiyoda-ku, JP;

Mio Motodani, Chiyoda-ku, JP;

Osamu Nakajima, Chiyoda-ku, JP;

Takaya Yamamoto, Chiyoda-ku, JP;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
F24F 11/00 (2018.01); F24F 11/89 (2018.01); G05B 13/04 (2006.01); G05D 23/19 (2006.01); F24F 110/70 (2018.01); F24F 120/10 (2018.01); G06F 19/00 (2018.01);
U.S. Cl.
CPC ...
G05B 13/048 (2013.01); F24F 11/0008 (2013.01); F24F 11/89 (2018.01); G05D 23/1932 (2013.01); G06F 19/00 (2013.01); F24F 2110/70 (2018.01); F24F 2120/10 (2018.01); Y02P 90/84 (2015.11);
Abstract

An indoor environment model creation device is configured to create an indoor environment model of an indoor space in which air-conditioning equipment configured to condition air, an indoor humidity sensor configured to measure an indoor humidity of the indoor space, and a COsensor configured to measure a COconcentration in the indoor space are installed. The indoor environment model includes a plurality of physics models in which heat, moisture, and COconcentration parameters are included. The indoor environment model creation device includes: a data storage unit configured to store operation data of the air-conditioning equipment in a learning target period as learning-use input data, and store measurement data measured by the COsensor and the humidity sensor; and a model parameter learning unit configured to comprehensively learn the plurality of physics models with use of the learning-use input data and the measurement data, which are stored in the data storage unit.


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