US 11,920,807 B2
Electronic apparatus and method to train neural network to determine defective air conditioner
Sunggeun Song, Suwon-si (KR); Kyungjae Kim, Suwon-si (KR); Kwanwoo Song, Suwon-si (KR); Jehyeon Lee, Suwon-si (KR); and Hyejung Cho, Suwon-si (KR)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Appl. No. 17/428,125
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
PCT Filed Jul. 27, 2021, PCT No. PCT/KR2021/009677
§ 371(c)(1), (2) Date Aug. 3, 2021,
PCT Pub. No. WO2022/039400, PCT Pub. Date Feb. 24, 2022.
Claims priority of application No. 10-2020-0104395 (KR), filed on Aug. 20, 2020.
Prior Publication US 2022/0316731 A1, Oct. 6, 2022
Int. Cl. F24F 11/38 (2018.01); F24F 11/52 (2018.01); F24F 11/64 (2018.01); F24F 110/12 (2018.01); F24F 130/10 (2018.01)
CPC F24F 11/38 (2018.01) [F24F 11/52 (2018.01); F24F 11/64 (2018.01); F24F 2110/12 (2018.01); F24F 2130/10 (2018.01)] 15 Claims
OG exemplary drawing
 
1. An electronic apparatus controlling an air conditioner comprising:
a communication interface;
a memory storing at least one instruction; and
a processor,
wherein, when the at least one instruction is executed by the processor, the processor is configured to:
acquire weather information comprising an external temperature of a region where the air conditioner is installed and information on a space comprising a temperature of the space where the air conditioner is installed,
train a neural network model based on the weather information and the information on the space, where the information on the space includes information on a type of use of the space where the air conditioner is installed, information on a location within a building in which the space exists, information on a number and size of windows present in the space, and a number of occupants of the space,
based on acquiring driving information of the air conditioner comprising a set temperature and the acquired temperature of the space through the communication interface, input the acquired temperature of the space and the external temperature into the neural network model and acquire predicted temperature information per time for the space,
determine whether a defect exists in the air conditioner based on a difference between the predicted temperature information of the neural network model and the acquired temperature of the space, and
based on determining that a defect exists in the air conditioner, generate a notification signal,
wherein, when the at least one instruction is executed by the processor, the processor is further configured to:
acquire a heat characteristic for the space based on the acquired temperature of the space and the external temperature, and
correct the predicted temperature information based on the heat characteristic, and
wherein the heat characteristic comprises a temperature distribution for the space where the air conditioner is installed.