Patent ID: 11959652
Assignee: DAIKIN INDUSTRIES, LTD.
Field: Thermal processes and apparatus (Mechanical engineering)
Classification: CPC F  G | IPC F  G

Claim 15:
16. A machine learning apparatus for learning at least one pair of: a pair of temperatures that are a temperature of cooling water supplied by a cooling water pump and a temperature of cold water supplied by a cold water pump; or a pair of flowrates that are a flowrate of the cooling water supplied by the cooling water pump and a flowrate of the cold water supplied by the cold water pump, in an air conditioning system including a water-cooled chiller, a cooling water pump configured to supply cooling water for cooling refrigerant by performing heat exchange in the water-cooled chiller, a cooling tower configured to bring the cooling water transferred from the water-cooled chiller into contact with outside air to cool the cooling water, an air-conditioning apparatus, and a cold water pump configured supply the cold water cooled by the refrigerant in the heat exchange performed in the water-cooled chiller to the air-conditioning apparatus,
wherein the machine learning apparatus comprises:
a memory; and

a processor coupled to the memory and configured to:
obtain state variables including an operation condition of the cooling tower, an operation condition of the air-conditioning apparatus, and a load of the air-conditioning apparatus;
perform learning by associating the state variables with the at least one pair; and
calculate a reward, based on a total value of energy consumptions of the cooling tower, the water-cooled chiller, the cooling water pump, the cold water pump, and the air-conditioning apparatus,
wherein the processor is configured to:
perform the learning by using the calculated reward, and
control, based on the calculated reward, the air conditioning system to reduce power consumption.