Air conditioning apparatus and control method thereof
Abstract
Disclosed are an air conditioning apparatus and a control method thereof. An air conditioning apparatus comprises: a driving unit for performing a pre-configured function of the air conditioning apparatus; a sensor for collecting environmental information around the air conditioning apparatus; a memory for storing the collected environmental information; and a processor for controlling an operation of the driving unit on the basis of schedule information including an operating state defined according to a time change, and modifying the schedule information on the basis of environmental information collected during a pre-configured period of time.
Claims
exact text as granted — not AI-modified1 . An air conditioning apparatus comprising:
a driver configured to perform a predetermined function of the air conditioning apparatus; a sensor configured to collect ambient environmental information of the air conditioning apparatus; a memory configured to store the collected environmental information therein; and a processor configured to control an operation of the driver on the basis of schedule information in which an operation state is defined according to a time change and modify the schedule information on the basis of environmental information collected during a predetermined period.
2 . The air conditioning apparatus as claimed in claim 1 , wherein the processor is configured to modify the schedule information by classifying the collected environmental information as stored in the memory for each time zone, and comparing the classified environmental information for each time zone with an operation state for each time zone in the schedule information.
3 . The air conditioning apparatus as claimed in claim 2 , wherein the processor is configured to predict a load for each time zone on the basis of the classified environmental information for each time zone and modify the operation state for each time zone in the schedule information on the basis of the predicted load for each time zone.
4 . The air conditioning apparatus as claimed in claim 3 , wherein the processor is configured to predict the operation state for each time zone from the classified environmental information for each time zone using a predetermined learning model.
5 . The air conditioning apparatus as claimed in claim 3 , wherein the processor is configured to modify the operation state for each time zone in the schedule information by determining an operation mode of the air conditioning apparatus and an output intensity in the operation mode for the each time zone on the basis of the predicted load for each time zone.
6 . The air conditioning apparatus as claimed in claim 3 , wherein the processor is configured to modify the operation state for each time zone in the schedule information on the basis of the predicted load for each time zone and spatial information of an air conditioning target.
7 . The air conditioning apparatus as claimed in claim 1 , wherein the environmental information includes at least one of an indoor temperature, an outdoor temperature, a humidity, the number of persons in an air conditioning target, or an amount of dust.
8 . The air conditioning apparatus as claimed in claim 1 , wherein the memory is configured to store a plurality of schedule information for each day of the week, and
the processor is configured to control the driver on the basis of schedule information corresponding to a current day of the week among the plurality of schedule information.
9 . The air conditioning apparatus as claimed in claim 1 , wherein the memory is configured to store a plurality of initial schedule information, and
the processor is configured to control the operation of the driver on the basis of initial schedule information selected by a user among the plurality of initial schedule information.
10 . The air conditioning apparatus as claimed in claim 1 , wherein the processor is configured to control the operation of the driver on the basis of the collected environmental information rather than the schedule information, when a difference between a load for a current time zone in the schedule information and a load corresponding to currently collected environmental information is a predetermined value or more.
11 . A control method of an air conditioning apparatus, the control method comprising:
performing a predetermined function of the air conditioning apparatus on the basis of schedule information in which an operation state is defined according to a time change; collecting ambient environmental information of the air conditioning apparatus; storing the collected environmental information; and modifying the schedule information on the basis of environmental information collected during a predetermined period.
12 . The control method as claimed in claim 11 , wherein in the modifying, the schedule information is modified by classifying the collected environmental information as stored for each time zone, and comparing the classified environmental information for each time zone with an operation state for each time zone in the schedule information.
13 . The control method as claimed in claim 12 , wherein in the modifying, a load for each time zone is predicted on the basis of the classified environmental information for each time zone, and the operation state for each time zone in the schedule information is modified on the basis of the predicted load for each time zone.
14 . The control method as claimed in claim 13 , wherein in the modifying, the operation state for each time zone is predicted from the classified environmental information for each time zone using a predetermined learning model.
15 . The control method as claimed in claim 13 , wherein in the modifying, the operation state for each time zone in the schedule information is modified by determining an operation mode of the air conditioning apparatus and an output intensity in the operation mode for the each time zone on the basis of the predicted load for each time zone.Join the waitlist — get patent alerts
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