Abstract: An air conditioning apparatus includes a refrigerant circuit in which a plurality of indoor units respectively including an indoor heat exchanger and an indoor expansion valve are connected to an outdoor unit including an outdoor expansion valve via a liquid-refrigerant connection pipe. The air conditioning apparatus individually controls each of the indoor units to operate or stop. The air conditioning apparatus includes a controller. When at least one of the indoor heat exchangers functions as a radiator, the controller controls an opening degree of the indoor expansion valve and an opening degree of the outdoor expansion valve. The apparatus—determines whether a refrigerant amount in the refrigerant circuit is appropriate on the basis of an amount of change corresponding to a change in state of a refrigerant between the indoor expansion valve and the outdoor expansion valve.

Abstract: A fluid leakage detection system includes a detection device, a communication device, and a power supply unit. The detection device includes a detector that detects a leakage of a fluid from a flow path. The communication device includes a communicator to transmit and receive, to and from the detection device, predetermined information as to whether there is a leakage of the fluid. The power supply unit supplies power to the detection device in a wireless manner.

Abstract: A refrigerant amount determining device includes: an operation data acquiring unit configured to acquire operation data of an air conditioning system; a calculating unit configured to calculate a refrigerant amount index value from the operation data acquired; an inferring unit configured to infer information regarding correction of the refrigerant amount index value using a correction model and at least one of the acquired operation data or the calculated refrigerant amount index value; and a determining unit configured to determine a refrigerant amount of the air conditioning system based on the information regarding correction of the refrigerant amount index value.

Abstract: A machine learning apparatus determines an operation condition of a precooling operation or preheating operation of an air conditioner. The machine learning apparatus includes an acquisition unit and a learning unit. The acquisition unit acquires, as state variables, room temperature data at a time of the precooling operation or preheating operation, set temperature data, and outside air temperature data. The learning unit learns the operation condition of the precooling operation or preheating operation based on the state variables, a room temperature after start of the precooling operation or preheating operation, and a set temperature.

Abstract: An additional-filling-amount management system includes a mass correlation data obtaining unit, an additional-filling-amount determination unit, and a storage unit. The mass correlation data obtaining unit obtains mass correlation data correlating with a mass of a refrigerant container from which refrigerant is supplied to a refrigeration cycle apparatus that is additionally filled with refrigerant. The additional-filling-amount determination unit determines an additional filling amount based on the mass correlation data, the additional filling amount being an amount of refrigerant, from the refrigerant container, with which the refrigeration cycle apparatus has been additionally filled.

Abstract: An object is to predict an operational state from operational data when there is no operational data to learn from. An apparatus according to an embodiment of the present disclosure is an apparatus configured to perform correction regarding a predicted value for an operational state predicted from operational data of a device, and includes a provisional prediction model that is trained by machine learning based on training data including operational data and an operational state of a device different from the device, and a correction unit configured to perform correction regarding the predicted value for the operational state of the device, the predicted value being predicted using the provisional prediction model.

Abstract: A precooling operation/preheating operation control apparatus includes: an air conditioner, a ventilation apparatus, and a controller. The air conditioner performs heat exchange between air in a target space for precooling or preheating and a heat medium. The ventilation apparatus replaces part of the air in the target space with outside air that is air outside a building. The controller determines, on the basis of a set temperature of the target space at a designated time and a quantity related to an outside air temperature, operation details of the air conditioner and operation details of the ventilation apparatus during a precooling operation or preheating operation.

Abstract: A refrigerant amount determining device includes: an operation data acquiring unit configured to acquire operation data of an air conditioning system; a calculating unit configured to calculate a refrigerant amount index value from the operation data acquired; an inferring unit configured to infer information regarding correction of the refrigerant amount index value using a correction model and at least one of the acquired operation data or the calculated refrigerant amount index value; and a determining unit configured to determine a refrigerant amount of the air conditioning system based on the information regarding correction of the refrigerant amount index value.

Abstract: A refrigerant amount management system manages an amount of refrigerant with which a plurality of refrigeration cycle apparatuses is filled. Each refrigeration cycle apparatus has a refrigerant circuit. The refrigerant amount management system includes an additional-filling-amount obtaining unit that obtains an additional filling amount of refrigerant with which a refrigeration cycle apparatus has been additionally filled after installation, a storage unit, and a useful-information creation unit. The storage unit stores apparatus information regarding the refrigeration cycle apparatus that has been additionally filled with refrigerant and the additional filling amount of the refrigeration cycle apparatus identified with the apparatus information in association with each other.

Abstract: A refrigerant leakage determination system includes a refrigerant circuit including a compressor, a condenser, an expansion mechanism, and an evaporator. The system performs a first determination, and a second determination. The first determination determines that refrigerant has leaked from the refrigerant circuit, by using a first state amount of refrigerant as a determination index, the first state amount including at least one of an outlet temperature of the condenser, a suction temperature of the compressor, and a discharge temperature of the compressor. The second determination determines that refrigerant has leaked from the refrigerant circuit, based on information different from the first state amount.

Abstract: A refrigerant leakage determination system capable of detecting leakage of refrigerant without requiring complicated processing is provided. A refrigerant leakage determination system is a refrigerant leakage determination system of a refrigeration cycle apparatus that includes a refrigerant circuit including a heat-source-side heat exchanger and has, as operating modes, a normal mode in which the heat-source-side heat exchanger is caused to function as an evaporator and a defrosting mode in which the heat-source-side heat exchanger frosted during a normal operation is defrosted. The refrigerant leakage determination system includes a processor configured to acquire defrosting information regarding a relationship between a normal operation period and the number of defrosting operations, and memory that stores the defrosting information. The processor is further configured to determine, based on the acquired defrosting information, leakage of refrigerant in the refrigerant circuit.

Abstract: A machine learning apparatus determines an operation condition of a precooling operation or preheating operation of an air conditioner. The machine learning apparatus includes an acquisition unit and a learning unit. The acquisition unit acquires, as state variables, room temperature data at a time of the precooling operation or preheating operation, set temperature data, and outside air temperature data. The learning unit learns the operation condition of the precooling operation or preheating operation based on the state variables, a room temperature after start of the precooling operation or preheating operation, and a set temperature.

Abstract: A precooling operation/preheating operation control apparatus includes: an air conditioner, a ventilation apparatus, and a controller. The air conditioner performs heat exchange between air in a target space for precooling or preheating and a heat medium. The ventilation apparatus replaces part of the air in the target space with outside air that is air outside a building. The controller determines, on the basis of a set temperature of the target space at a designated time and a quantity related to an outside air temperature, operation details of the air conditioner and operation details of the ventilation apparatus during a precooling operation or preheating operation.

Abstract: A refrigerant leakage determination system capable of detecting leakage of refrigerant without requiring complicated processing is provided. A refrigerant leakage determination system is a refrigerant leakage determination system of a refrigeration cycle apparatus that includes a refrigerant circuit including a heat-source-side heat exchanger and has, as operating modes, a normal mode in which the heat-source-side heat exchanger is caused to function as an evaporator and a defrosting mode in which the heat-source-side heat exchanger frosted during a normal operation is defrosted. The refrigerant leakage determination system includes a processor configured to acquire defrosting information regarding a relationship between a normal operation period and the number of defrosting operations, and memory that stores the defrosting information. The processor is further configured to determine, based on the acquired defrosting information, leakage of refrigerant in the refrigerant circuit.

Abstract: An additional-filling-amount management system includes a mass correlation data obtaining unit, an additional-filling-amount determination unit, and a storage unit. The mass correlation data obtaining unit obtains mass correlation data correlating with a mass of a refrigerant container from which refrigerant is supplied to a refrigeration cycle apparatus that is additionally filled with refrigerant. The additional-filling-amount determination unit determines an additional filling amount based on the mass correlation data, the additional filling amount being an amount of refrigerant, from the refrigerant container, with which the refrigeration cycle apparatus has been additionally filled.

Abstract: A refrigerant amount management system manages an amount of refrigerant with which a plurality of refrigeration cycle apparatuses is filled. Each refrigeration cycle apparatus has a refrigerant circuit. The refrigerant amount management system includes an additional-filling-amount obtaining unit that obtains an additional filling amount of refrigerant with which a refrigeration cycle apparatus has been additionally filled after installation, a storage unit, and a useful-information creation unit. The storage unit stores apparatus information regarding the refrigeration cycle apparatus that has been additionally filled with refrigerant and the additional filling amount of the refrigeration cycle apparatus identified with the apparatus information in association with each other.

Abstract: A refrigerant leakage determination system capable of detecting leakage of refrigerant without requiring complicated processing is provided. A refrigerant leakage determination system is a refrigerant leakage determination system of a refrigeration cycle apparatus that includes a refrigerant circuit including a heat-source-side heat exchanger and has, as operating modes, a normal mode in which the heat-source-side heat exchanger is caused to function as an evaporator and a defrosting mode in which the heat-source-side heat exchanger frosted during a normal operation is defrosted. The refrigerant leakage determination system includes a processor configured to acquire defrosting information regarding a relationship between a normal operation period and the number of defrosting operations, and memory that stores the defrosting information. The processor is further configured to determine, based on the acquired defrosting information, leakage of refrigerant in the refrigerant circuit.

Abstract: To highly accurately determine whether a refrigerant amount in a refrigerant circuit is appropriate. An air conditioning apparatus comprises a refrigerant circuit in which a plurality of indoor units respectively including an indoor heat exchanger and an indoor expansion valve are connected to an outdoor unit including an outdoor expansion valve via a liquid-refrigerant connection pipe. Moreover, the air conditioning apparatus individually controls each of the indoor units to operate or stop. The air conditioning apparatus includes a controller. When at least one of the indoor heat exchangers functions as a radiator, the controller controls an opening degree of the indoor expansion valve and an opening degree of the outdoor expansion valve. The apparatus determines whether a refrigerant amount in the refrigerant circuit is appropriate on the basis of an amount of change corresponding to a change in state of a refrigerant between the indoor expansion valve and the outdoor expansion valve.

Abstract: A demand-response system includes first and second aggregators and a power aggregator. The first aggregator performs demand-response-related control of a first heating device group including a heat pump device, and the second aggregator performs demand-response related control of a second heating device group. The power aggregator sends a second power adjustment request to the first and second aggregators using a command being common to the first and second aggregators. In accordance with the second power adjustment request, the first aggregator performs demand-response-related control of the first heating device group using a first dedicated command, and the second aggregator performs demand-response-related control of the second heating device group using a second dedicated command that is different from the first dedicated command.

Abstract: A demand-response system includes first and second aggregators and a power aggregator. The first aggregator performs demand-response-related control of a first heating device group including a heat pump device, and the second aggregator performs demand-response-related control of a second heating device group. The power aggregator sends a second power adjustment request to the first and second aggregators using a command being common to the first and second aggregators. In accordance with the second power adjustment request, the first aggregator performs demand-response-related control of the first heating device group using a first dedicated command, and the second aggregator performs demand-response-related control of the second heating device group using a second dedicated command that is different from the first dedicated command.