Server, air conditioner and method for controlling thereof
A server is provided. The server includes a communication device configured to receive operation information from an air conditioner, a memory configured to store information of a plurality of groups and a cooling capacity prediction model for predicting a cooling capacity that corresponds to each of the plurality of groups, and a processor to map the air conditioner to one group among the plurality of groups based on the received operation information, and control the communication device to enable the air conditioner to use the cooling capacity prediction model corresponding to the mapped group.
1. A server comprising:
a communication device configured to receive operation information from an air conditioner;
a memory configured to store information of a plurality of groups and a cooling capacity prediction model for predicting a cooling capacity that corresponds to each of the plurality of groups; and
a processor configured to:
map the air conditioner to one group among the plurality of groups based on the received operation information, and
control the communication device to enable the air conditioner to use the cooling capacity prediction model corresponding to the mapped group.
2. The server of claim 1 ,
wherein the received operation information comprises at least one of temperature information, operation mode information, or wind volume information, and
wherein the processor is further configured to:
calculate the cooling capacity of the air conditioner based on the received operation information, and
map the air conditioner to one group among the plurality of groups based on the calculated cooling capacity and the received operation information.
3. The server of claim 1 ,
wherein the memory is further configured to store a classification prediction model that maps the air conditioner to the one group among the plurality of groups, and
wherein the processor is further configured to map the air conditioner to the one group among the plurality of groups using the received operation information and the classification prediction model.
4. The server of claim 3 , wherein the classification prediction model is a K-means model.
5. The server of claim 1 ,
wherein the memory is further configured to store operation information of each of a plurality of air conditioners, and
wherein the processor is further configured to generate the cooling capacity prediction model for each of the plurality of groups using the operation information of the air conditioner corresponding to each of the plurality of groups.
6. The server of claim 5 , wherein the cooling capacity prediction model is a decision tree regression model.
7. The server of claim 5 , wherein the processor is further configured to generate the cooling capacity prediction model for the mapped group using the operation information corresponding to the mapped group from among the stored operation information of the air conditioner and the received operation information.
8. The server of claim 5 , wherein the processor is further configured to:
control the communication device to update the cooling capacity prediction model corresponding to the mapped group based on the received operation information, and
control the communication device to enable the air conditioner to use the updated cooling capacity prediction model.
9. The server of claim 1 , wherein the processor is further configured to control the communication device to transmit the cooling capacity prediction model corresponding to the mapped group to the air conditioner.
10. The server of claim 1 , wherein the processor is further configured to:
predict the cooling capacity of the air conditioner based on the cooling capacity prediction model corresponding to the mapped group and the received operation information, and
control the communication device to transmit information on the predicted cooling capacity to the air conditioner.
11. The server of claim 1 , wherein the processor is further configured to:
predict the cooling capacity of the air conditioner based on the cooling capacity prediction model corresponding to the mapped group and the received operation information,
generate control data on the air conditioner corresponding to the predicted cooling capacity, and
control the communication device to transmit the generated control data to the air conditioner.
12. An air conditioner comprising:
an air cooler configured to perform air conditioning;
a communication device configured to communicate with a server; and
a processor configured to:
control the communication device to transmit operation information of the air conditioner to the server,
receive information on a cooling capacity predicted based on the transmitted operation information,
generate control data on the air cooler based on the received information on the cooling capacity, and
control the air cooler based on the generated control data.
13. The air conditioner of claim 12 , wherein the operation information comprises at least one of temperature information, operation mode information, or wind volume information.
14. A controlling method of a server, the method comprising:
storing information of a plurality of groups and a cooling capacity prediction model for predicting a cooling capacity that corresponds to each of the plurality of groups;
receiving operation information from an air conditioner;
mapping the air conditioner to one group among a plurality of groups based on the received operation information;
predicting a cooling capacity of the air conditioner using the cooling capacity prediction model corresponding to the mapped group; and
transmitting information on the predicted cooling capacity to the air conditioner.
15. The method of claim 14 ,
wherein the operation information comprises at least one of temperature information, operation mode information, or wind volume information, and
wherein the mapping comprises:
calculating the cooling capacity of the air conditioner based on the received operation information, and
mapping the air conditioner to one group among the plurality of groups based on the calculated cooling capacity and the received operation information.
16. The method of claim 14 , wherein the mapping comprises mapping the air conditioner to one group among the plurality of groups using the classification prediction model which maps the air conditioner to one group among the plurality of groups and the received operation information.
17. The method of claim 14 , further comprising:
storing operation information of each of a plurality of air conditioners; and
generating the cooling capacity prediction model for each of the plurality of groups using the operation information of the air conditioner corresponding to each of the plurality of groups.
18. The method of claim 17 , wherein the generating of the cooling capacity prediction model comprises generating the cooling capacity prediction model for the mapped group using the operation information corresponding to the mapped group from among the stored operation information of the air conditioner and the received operation information.
19. The method of claim 17 , further comprising:
updating the cooling capacity prediction model corresponding to the mapped group based on the received operation information,
wherein the predicting comprises predicting the cooling capacity of the air conditioner using an updated cooling capacity prediction model.
20. The method of claim 14 , wherein the transmitting of the information on the predicted cooling capacity to the air conditioner comprises:
generating control data on the air conditioner corresponding to the predicted cooling capacity, and
transmitting the generated control data to the air conditioner.