MACHINE LEARNING DEVICE FOR DETERMINING OPERATION CONDITION OF PRECOOLING OPERATION OR PREHEATING OPERATION OF AIR CONDITIONER

Title:

MACHINE LEARNING DEVICE FOR DETERMINING OPERATION CONDITION OF PRECOOLING OPERATION OR PREHEATING OPERATION OF AIR CONDITIONER

Document Type and Number:

WIPO Patent Application WO/2020/189544

Kind Code:

A1

Abstract:

This machine learning device (100) determines an operation condition of a precooling operation or a preheating operation of an air conditioner (10). The machine learning device (100) is provided with an acquisition unit (451) and a learning unit (452). The acquisition unit (451) acquires, as state variables, room temperature data, setting temperature data (Ts), and outside air temperature data upon executing the precooling operation or the preheating operation. The learning unit (452) learns the operation condition of the precooling operation or the preheating operation on the basis of the state variables, and the room temperature and the setting temperature data (Ts) after starting the precooling operation or the preheating operation.

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Inventors:

YOSHIMI MANABU
NISHIMURA TADAFUMI

Application Number:

PCT/JP2020/011038

Publication Date:

September 24, 2020

Filing Date:

March 13, 2020

Export Citation:

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Assignee:

DAIKIN IND LTD (JP)

International Classes:

F24F11/48; F24F11/63; F24F11/64; F24F110/12; F24F130/00; F24F130/10

Domestic Patent References:

WO2015079502A1

2015-06-04

Foreign References:

JPS629137A	1987-01-17
JP2001021198A	2001-01-26
JP2018071853A	2018-05-10
JP6270996B2	2018-01-31

Other References: