Air-conditioning controller

Abstract

An air-conditioning controller includes: a control board configured to control an air-conditioning apparatus; an enclosure housing the control board; and a plurality of temperature sensors. The control board includes at least one heat-generating component that is a heat source raising a temperature in the enclosure when powered. The plurality of temperature sensors are located at a plurality of respective positions in the enclosure. Heat from the at least one heat-generating component causes a difference in temperature between the plurality of positions. The control board stores a trained model for room temperature estimation generated by machine learning and is configured to estimate a temperature of a room installed with the air-conditioning controller using temperature data from each of the plurality of temperature sensors and the trained model.

What is claimed is: 
     
         1 . An air-conditioning controller comprising:
 a control board configured to control an air-conditioning apparatus;   an enclosure housing the control board; and   a plurality of temperature sensors, wherein   the control board includes at least one heat-generating component, the at least one heat-generating component being a heat source that raises a temperature in the enclosure when powered,   the plurality of temperature sensors are located at a plurality of respective positions in the enclosure and heat from the at least one heat-generating component causes a difference in temperature between the plurality of positions, and   the control board stores a trained model for room temperature estimation generated by machine learning and is configured to estimate a temperature of a room installed with the air-conditioning controller using temperature data from each of the plurality of temperature sensors and the trained model.   
     
     
         2 . The air-conditioning controller according to  claim 1 , wherein
 the plurality of temperature sensors include a first temperature sensor and a second temperature sensor, and   a distance from the at least one heat-generating component to the first temperature sensor is shorter than a distance from the at least one heat-generating component to the second temperature sensor.   
     
     
         3 . The air-conditioning controller according to  claim 1 , wherein
 the at least one heat-generating component includes a plurality of heat-generating components, and   the plurality of temperature sensors include a first temperature sensor located in a predetermined region in which the plurality of heat-generating components are located and a second temperature sensor located in a region other than the predetermined region.   
     
     
         4 . The air-conditioning controller according to  claim 2 , wherein
 the first temperature sensor is located at a position to which the heat is to be transferred from the at least one heat-generating component through the control board.   
     
     
         5 . The air-conditioning controller according to  claim 2 , wherein
 the second temperature sensor is located on the control board and partially separated from the at least one heat-generating component on the control board.   
     
     
         6 . The air-conditioning controller according to  claim 1 , wherein
 the trained model is generated by the machine learning based on training data based on the temperature data from each of the plurality of temperature sensors and label data based on room temperature data.   
     
     
         7 . The air-conditioning controller according to  claim 6 , wherein
 the training data is moving average data of the temperature data from each of the plurality of temperature sensors.