Failure diagnosis support device and failure diagnosis support method

Abstract

To solve a problem that even when an apparatus is normal, there is a possibility that a predetermined difference between a first state value and a second state value might cause a user to misunderstand failure of the apparatus.SOLUTION: A failure diagnosis support device 1 includes an output section 13 and a control section 19. The output section 13 displays a state of an apparatus included in a refrigeration cycle device 2. The control section 19 displays a first state value and a second state value on the output section 13. The first state value is an actual value of a state value. The second state value is a prediction value of a state value when the refrigeration cycle device 2 is performing a normal operation. The control section 19 determines whether or not the apparatus is normal. When there is a predetermined difference between the first state value and the second state value and when the apparatus is normal, the control section 19 displays first information 80 on the output section 13. The first information 80 is information indicating that the apparatus is normal.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a fault diagnosis support device and a fault diagnosis support method. [Background technology]

[0002] As shown in Patent Document 1 (International Publication No. 2021-245898), there is a technology that displays a first status value, which is the actual value of a status value indicating the status of equipment included in the diagnostic object, and a second status value, which is a predicted value of the status value when the diagnostic object is operating normally. Summary of the Invention [Problem to be solved by the invention]

[0003] Even when the device is normal, a certain deviation may occur between the first status value and the second status value due to other factors. In this case, the user may mistakenly believe that the device is broken due to the certain deviation between the first status value and the second status value. [Means for solving the problem]

[0004] A fault diagnosis support device according to a first aspect includes an output unit and a control unit. The output unit displays the status of equipment included in the refrigeration cycle apparatus. The control unit displays a first status value and a second status value on the output unit. The first status value is an actual value of the status value. The status value indicates the status of the equipment. The second status value is a predicted value of the status value when the refrigeration cycle apparatus is operating normally. The control unit determines whether the equipment is normal. If there is a predetermined deviation between the first status value and the second status value and the equipment is normal, the control unit displays first information on the output unit. The first information is information indicating that the equipment is normal. The equipment includes a sensor or a first device that operates based on an indication value.

[0005] In the fault diagnosis support device of the first aspect, the control unit displays first information on the output unit when there is a predetermined deviation between the first status value and the second status value and the device is normal. The first information is information indicating that the device is normal. As a result, the fault diagnosis support device can prevent a user from mistakenly believing that the device is faulty when there is a predetermined deviation between the first status value and the second status value and the device is normal.

[0006] A fault diagnosis support device according to a second aspect is the fault diagnosis support device according to the first aspect, wherein the state value includes a sensor measurement value, a value calculated from the sensor measurement value, or an indication value.

[0007] A fault diagnosis support device according to a third aspect is the fault diagnosis support device according to the first or second aspect, wherein, when there is a predetermined deviation between the first and second state values ​​and the device is normal, the control unit identifies a reason for the deviation between the first and second state values. The first information includes the reason for the deviation.

[0008] With this configuration, the fault diagnosis support device according to the third aspect can show the user the reason why the device is normal.

[0009] A fault diagnosis support device according to a fourth aspect is the fault diagnosis support device according to any one of the first to third aspects, wherein the control unit calculates a predicted range of a state value when the refrigeration cycle device is operating normally, and the control unit displays the predicted range on the output unit.

[0010] With such a configuration, the fault diagnosis support device according to the fourth aspect can provide the user with further information for determining whether a device has malfunctioned.

[0011] A fault diagnosis support device according to a fifth aspect is the fault diagnosis support device according to any one of the first to fourth aspects, wherein the control unit predicts a probability that the device is faulty, and the control unit displays the probability on the output unit.

[0012] With such a configuration, the fault diagnosis support device according to the fifth aspect can provide the user with further information for determining whether a device has malfunctioned.

[0013] A fault diagnosis support method according to a sixth aspect is a fault diagnosis support method performed by a fault diagnosis support device. The fault diagnosis support device includes an output unit and a control unit. The output unit displays the status of devices included in a refrigeration cycle apparatus. The fault diagnosis support method has a first step, a second step, and a third step. The first step displays a first state value and a second state value on the output unit. The first state value is an actual value of the state value. The state value indicates the status of the device. The second state value is a predicted value of the state value when the refrigeration cycle apparatus is operating normally. The second step determines whether the device is normal. The third step displays first information on the output unit if there is a predetermined deviation between the first state value and the second state value and the device is normal. The first information is information indicating that the device is normal. The device includes a sensor or a first device that operates based on an indication value. [Brief explanation of the drawings]

[0014] [Figure 1] FIG. 2 is a functional block diagram of the fault diagnosis support device. [Figure 2] FIG. 2 is a functional block diagram of the refrigeration cycle device. [Figure 3] FIG. 2 is a diagram showing a refrigerant circuit of the refrigeration cycle device. [Figure 4] FIG. 10 is a diagram illustrating a display example of an output unit. [Figure 5] FIG. 10 is a diagram showing an example of a display on an output unit that displays a failure probability. [Figure 6] 4 is a flowchart for explaining the processing of the fault diagnosis support device. [Figure 7] FIG. 10 is a diagram illustrating an example of a display on an output unit where a predicted range is displayed. [Figure 8] FIG. 10 is a diagram showing another example of display on the output unit where a predicted range is displayed. DETAILED DESCRIPTION OF THE INVENTION

[0015] (1) Overall structure The fault diagnosis support device 1 supports fault diagnosis of devices included in the refrigeration cycle apparatus 2. FIG. 1 is a functional block diagram of the fault diagnosis support device 1. FIG. 2 is a functional block diagram of the refrigeration cycle apparatus 2. As shown in FIG. 1-2, the fault diagnosis support device 1 and the refrigeration cycle apparatus 2 are communicably connected via a network NW. The network NW is, for example, the Internet.

[0016] (2) Detailed configuration (2-1) Refrigeration cycle equipment The refrigeration cycle device 2 forms a vapor compression refrigeration cycle and performs air conditioning of a target space. In this embodiment, the refrigeration cycle device 2 is a so-called multi-type air conditioning system for a building. The refrigeration cycle device 2 may be, for example, a water heater.

[0017] Fig. 3 is a diagram showing a refrigerant circuit 50 of the refrigeration cycle apparatus 2. As shown in Fig. 3, the refrigeration cycle apparatus 2 mainly has one or a plurality of indoor units 20, an outdoor unit 30, and a control unit 40. In Fig. 3, one indoor unit 20 is depicted as a representative. The refrigerant circuit 50 is configured by connecting the indoor unit 20 and the outdoor unit 30 by a liquid refrigerant communication pipe 51 and a gas refrigerant communication pipe 52. The indoor unit 20 and the outdoor unit 30 are connected by a communication line 90 so that they can communicate with each other.

[0018] (2-1-1) Indoor unit The indoor unit 20 is installed in a target space within the building in which the refrigeration cycle apparatus 2 is installed. The indoor unit 20 is, for example, a ceiling-embedded unit, a ceiling-suspended unit, or a floor-standing unit. As shown in Fig. 3, the indoor unit 20 mainly has an indoor heat exchanger 21, an indoor fan 22, an indoor expansion valve 23, an indoor control unit 29, and various sensors. The indoor unit 20 also has a liquid refrigerant piping 57 that connects the liquid side end of the indoor heat exchanger 21 to the liquid refrigerant communication piping 51. The indoor unit 20 also has a gas refrigerant piping 58 that connects the gas side end of the indoor heat exchanger 21 to the gas refrigerant communication piping 52.

[0019] The indoor heat exchanger 21 exchanges heat between the refrigerant flowing inside the indoor heat exchanger 21 and the air in the target space. The indoor heat exchanger 21 is, for example, a fin-and-tube heat exchanger having a plurality of heat transfer fins and a plurality of heat transfer tubes.

[0020] The indoor fan 22 draws air from the target space into the indoor unit 20, exchanges heat between the drawn air and the refrigerant in the indoor heat exchanger 21, and supplies the heat-exchanged air to the target space. The indoor fan 22 is, for example, a centrifugal fan such as a turbo fan or a sirocco fan. As shown in FIG. 3, the indoor fan 22 is driven by an indoor fan motor 22m. The rotation speed of the indoor fan motor 22m can be controlled by an inverter.

[0021] The indoor expansion valve 23 is a mechanism for adjusting the pressure and flow rate of the refrigerant flowing through the liquid refrigerant pipe 57. The indoor expansion valve 23 is provided in the liquid refrigerant pipe 57. The indoor expansion valve 23 is an electronic expansion valve whose opening degree can be adjusted.

[0022] The various sensors included in the indoor unit 20 include a liquid-side temperature sensor 61, a gas-side temperature sensor 62, and an indoor temperature sensor 63.

[0023] The liquid side temperature sensor 61 measures the temperature of the refrigerant flowing through the liquid refrigerant pipe 57. The liquid side temperature sensor 61 is provided in the liquid refrigerant pipe 57. The liquid side temperature sensor 61 is, for example, a thermistor.

[0024] The gas side temperature sensor 62 measures the temperature of the refrigerant flowing through the gas refrigerant pipe 58. The gas side temperature sensor 62 is provided in the gas refrigerant pipe 58. The gas side temperature sensor 62 is, for example, a thermistor.

[0025] The indoor temperature sensor 63 measures the temperature of the air in the target space that is drawn in by the indoor unit 20. The indoor temperature sensor 63 is provided near the air intake port of the indoor unit 20. The indoor temperature sensor 63 is, for example, a thermistor.

[0026] The indoor control unit 29 is connected to various devices of the indoor unit 20, including the indoor fan motor 22m, the indoor expansion valve 23, the liquid-side temperature sensor 61, the gas-side temperature sensor 62, and the indoor temperature sensor 63, so as to be able to communicate with them.

[0027] The indoor control unit 29 has a control and arithmetic device and a storage device. The control and arithmetic device is a processor such as a CPU or GPU. The storage device is a storage medium such as a RAM, a ROM, or a flash memory. The control and arithmetic device reads out programs stored in the storage device and performs predetermined arithmetic processing in accordance with the programs, thereby controlling the operation of various devices in the indoor unit 20. The control and arithmetic device can also write calculation results to the storage device and read out information stored in the storage device in accordance with the programs.

[0028] The indoor control unit 29 is configured to be able to receive various signals transmitted from an operation remote control (not shown). The various signals include, for example, a signal instructing the start or stop of operation and signals related to various settings. The signals related to various settings include, for example, signals related to the set temperature and airflow rate.

[0029] The indoor control unit 29 exchanges control signals and the like with the outdoor control unit 39 of the outdoor unit 30 via a communication line 90. The indoor control unit 29 and the outdoor control unit 39 cooperate to function as a control unit 40.

[0030] (2-1-2) Outdoor unit The outdoor unit 30 is installed on the roof or the like of the building in which the refrigeration cycle apparatus 2 is installed. As shown in Fig. 3, the outdoor unit 30 mainly has a compressor 31, a flow path switching valve 32, an outdoor heat exchanger 33, an outdoor expansion valve 34, an accumulator 35, an outdoor fan 36, a liquid shut-off valve 37, a gas shut-off valve 38, an outdoor control unit 39, and various sensors. The outdoor unit 30 also has a suction pipe 54a, a discharge pipe 54b, gas refrigerant pipes 54c and 54e, and a liquid refrigerant pipe 54d.

[0031] The suction pipe 54a connects the flow path switching valve 32 and the suction side of the compressor 31. The accumulator 35 is provided on the suction pipe 54a. The discharge pipe 54b connects the discharge side of the compressor 31 and the flow path switching valve 32. The gas refrigerant pipe 54c connects the flow path switching valve 32 and the gas side end of the outdoor heat exchanger 33. The liquid refrigerant pipe 54d connects the liquid side end of the outdoor heat exchanger 33 and the liquid refrigerant communication pipe 51. The liquid refrigerant pipe 54d is provided with the outdoor expansion valve 34. A liquid shut-off valve 37 is provided at the connection between the liquid refrigerant pipe 54d and the liquid refrigerant communication pipe 51. The gas refrigerant pipe 54e connects the flow path switching valve 32 and the gas refrigerant communication pipe 52. A gas shut-off valve 38 is provided at the connection between the gas refrigerant pipe 54e and the gas refrigerant communication pipe 52. The liquid shutoff valve 37 and the gas shutoff valve 38 are valves that are manually opened and closed.

[0032] The compressor 31 draws low-pressure refrigerant through a suction pipe 54a, compresses the refrigerant using a compression mechanism (not shown), and discharges the compressed refrigerant to a discharge pipe 54b. The compressor 31 is, for example, a rotary or scroll type positive displacement compressor. The compression mechanism of the compressor 31 is driven by a compressor motor 31m. The rotation speed of the compressor motor 31m can be controlled by an inverter.

[0033] The flow path switching valve 32 is a mechanism that switches the refrigerant flow path between a third state and a fourth state. In the third state, the flow path switching valve 32 connects the suction pipe 54a to the gas refrigerant pipe 54e and the discharge pipe 54b to the gas refrigerant pipe 54c, as shown by the solid lines in the flow path switching valve 32 in Fig. 3. In the fourth state, the flow path switching valve 32 connects the suction pipe 54a to the gas refrigerant pipe 54c and the discharge pipe 54b to the gas refrigerant pipe 54e, as shown by the dashed lines in the flow path switching valve 32 in Fig. 3.

[0034] During cooling operation, the flow path switching valve 32 sets the refrigerant flow path to the third state. At this time, the refrigerant discharged from the compressor 31 flows through the refrigerant circuit 50 in the order of the outdoor heat exchanger 33, the outdoor expansion valve 34, the indoor expansion valve 23, and the indoor heat exchanger 21, before returning to the compressor 31. In the third state, the outdoor heat exchanger 33 functions as a condenser, and the indoor heat exchanger 21 functions as an evaporator.

[0035] During heating operation, the flow path switching valve 32 sets the refrigerant flow path to the fourth state. At this time, the refrigerant discharged from the compressor 31 flows through the refrigerant circuit 50 in the following order: indoor heat exchanger 21, indoor expansion valve 23, outdoor expansion valve 34, outdoor heat exchanger 33, and then returns to the compressor 31. In the fourth state, the outdoor heat exchanger 33 functions as an evaporator, and the indoor heat exchanger 21 functions as a condenser.

[0036] The outdoor heat exchanger 33 exchanges heat between the refrigerant flowing through the outdoor heat exchanger 33 and the air around the outdoor unit 30. The outdoor heat exchanger 33 is, for example, a fin-and-tube heat exchanger having a plurality of heat transfer fins and a plurality of heat transfer tubes.

[0037] The outdoor expansion valve 34 is a mechanism for adjusting the pressure and flow rate of the refrigerant flowing through the liquid refrigerant pipe 54d. As shown in Fig. 3, the outdoor expansion valve 34 is provided in the liquid refrigerant pipe 54d. The outdoor expansion valve 34 is an electronic expansion valve whose opening degree can be adjusted.

[0038] The accumulator 35 is a container having a gas-liquid separation function that separates the refrigerant that flows in into the accumulator 35 into gas refrigerant and liquid refrigerant. As shown in Fig. 3, the accumulator 35 is provided in the suction pipe 54a. The refrigerant that flows into the accumulator 35 is separated into gas refrigerant and liquid refrigerant, and the gas refrigerant that collects in the upper space flows into the compressor 31.

[0039] The outdoor fan 36 draws outdoor air into the outdoor unit 30 and exchanges heat between the drawn air and the refrigerant in the outdoor heat exchanger 33. The outdoor fan 36 is, for example, an axial flow fan such as a propeller fan. As shown in FIG. 3, the outdoor fan 36 is driven by an outdoor fan motor 36m. The rotation speed of the outdoor fan motor 36m can be controlled by an inverter.

[0040] The various sensors included in the outdoor unit 30 include a suction pressure sensor 64 , a discharge pressure sensor 65 , an outdoor heat exchanger temperature sensor 66 , an outdoor temperature sensor 67 , and a current sensor 68 .

[0041] The suction pressure sensor 64 measures the suction pressure of the compressor 31. The suction pressure sensor 64 is provided in the suction pipe 54a. The suction pressure is a refrigerant pressure that corresponds to the evaporation pressure during cooling operation.

[0042] The discharge pressure sensor 65 measures the discharge pressure of the compressor 31. The discharge pressure sensor 65 is provided on the discharge pipe 54b. The discharge pressure is a refrigerant pressure that corresponds to the condensation pressure during heating operation.

[0043] The outdoor heat exchanger temperature sensor 66 measures the temperature of the refrigerant flowing through the outdoor heat exchanger 33. During cooling operation, the outdoor heat exchanger temperature sensor 66 measures the condensation temperature of the refrigerant flowing through the outdoor heat exchanger 33. During heating operation, the outdoor heat exchanger temperature sensor 66 measures the evaporation temperature of the refrigerant flowing through the outdoor heat exchanger 33. The outdoor heat exchanger temperature sensor 66 is provided in the outdoor heat exchanger 33. The outdoor heat exchanger temperature sensor 66 is, for example, a thermistor.

[0044] The outdoor temperature sensor 67 measures the temperature of the outdoor air drawn into the outdoor unit 30. The outdoor temperature sensor 67 is provided near the air intake port of the outdoor unit 30. The outdoor temperature sensor 67 is, for example, a thermistor.

[0045] The current sensor 68 measures the value of the current flowing through the compressor 31 .

[0046] The outdoor control unit 39 is connected to be able to communicate with various devices of the outdoor unit 30, including the compressor motor 31m, the flow path switching valve 32, the outdoor expansion valve 34, the outdoor fan motor 36m, the suction pressure sensor 64, the discharge pressure sensor 65, the outdoor heat exchanger temperature sensor 66, the outdoor temperature sensor 67, and the current sensor 68.

[0047] The outdoor control unit 39 has a control and arithmetic device and a storage device. The control and arithmetic device is a processor such as a CPU or GPU. The storage device is a storage medium such as a RAM, a ROM, or a flash memory. The control and arithmetic device reads out programs stored in the storage device and performs predetermined arithmetic processing in accordance with the programs, thereby controlling the operation of various devices in the outdoor unit 30. The control and arithmetic device can also write arithmetic results to the storage device and read out information stored in the storage device in accordance with the programs.

[0048] The outdoor control unit 39 exchanges control signals and the like with the indoor control unit 29 of the indoor unit 20 via a communication line 90. The outdoor control unit 39 and the indoor control unit 29 cooperate to function as a control unit 40.

[0049] (2-1-3) Control Unit The control unit 40 is composed of an indoor control unit 29 and an outdoor control unit 39. The control unit 40 controls the operation of the entire refrigeration cycle apparatus 2 by causing the control and arithmetic devices of the indoor control unit 29 and the outdoor control unit 39 to execute programs stored in their respective storage devices.

[0050] 2, the control unit 40 is communicatively connected to the indoor fan motor 22m, the indoor expansion valve 23, the liquid-side temperature sensor 61, the gas-side temperature sensor 62, the indoor temperature sensor 63, the compressor motor 31m, the flow path switching valve 32, the outdoor expansion valve 34, the outdoor fan motor 36m, the suction pressure sensor 64, the discharge pressure sensor 65, the outdoor heat exchanger temperature sensor 66, the outdoor temperature sensor 67, and the current sensor 68. The control unit 40 is also communicatively connected to the fault diagnosis support device 1 via the network NW. The control unit 40 controls the operation of the devices included in the refrigeration cycle apparatus 2 based on signals received from the operation remote control via the indoor unit 20, actual measured values ​​of various sensors, etc.

[0051] The control unit 40 mainly performs cooling operation and heating operation, and also mainly has a data transmission function.

[0052] (2-1-3-1) Cooling operation When the control unit 40 receives an instruction to perform cooling operation via the indoor unit 20, for example, from the operation remote controller, it switches the flow path switching valve 32 to the third state. Then, the control unit 40 controls the compressor motor 31m, the outdoor expansion valve 34, the indoor expansion valve 23, etc. so that the evaporation temperature of the refrigerant flowing through the indoor heat exchanger 21 becomes a target evaporation temperature. The evaporation temperature of the refrigerant flowing through the indoor heat exchanger 21 is converted, for example, from the measurement value (suction pressure) of the suction pressure sensor 64. The target evaporation temperature is set, for example, according to the set temperature received from the operation remote controller.

[0053] As described above, the operations of the various devices are controlled, so that the refrigerant flows through the refrigerant circuit 50 during cooling operation as follows.

[0054] When the compressor 31 is started, low-pressure gas refrigerant is sucked into the compressor 31 and compressed by the compressor 31 to become high-pressure gas refrigerant. The high-pressure gas refrigerant is sent to the outdoor heat exchanger 33 via the flow path switching valve 32, where it exchanges heat with the air around the outdoor unit 30 supplied by the outdoor fan 36, condensing to become high-pressure liquid refrigerant. The high-pressure liquid refrigerant flows through the liquid refrigerant pipe 54d and passes through the outdoor expansion valve 34. The high-pressure liquid refrigerant sent to the indoor unit 20 is reduced in pressure by the indoor expansion valve 23 to near the suction pressure of the compressor 31, becoming refrigerant in a two-phase gas-liquid state, and sent to the indoor heat exchanger 21. In the indoor heat exchanger 21, the refrigerant in the two-phase gas-liquid state exchanges heat with the air in the target space supplied to the indoor heat exchanger 21 by the indoor fan 22, evaporating to become low-pressure gas refrigerant. The low-pressure gas refrigerant is sent to the outdoor unit 30 via the gas refrigerant communication pipe 52, and flows into the accumulator 35 via the flow path switching valve 32. The low-pressure gas refrigerant that has flowed into the accumulator 35 is again sucked into the compressor 31. The temperature of the air supplied to the indoor heat exchanger 21 is lowered by heat exchange with the refrigerant flowing through the indoor heat exchanger 21, and the air cooled by the indoor heat exchanger 21 is blown out into the target space.

[0055] (2-1-3-2) Heating operation When the control unit 40 receives an instruction to perform heating operation via the indoor unit 20, for example, from the operation remote controller, it switches the flow path switching valve 32 to the fourth state. Then, the control unit 40 controls the compressor motor 31m, the outdoor expansion valve 34, the indoor expansion valve 23, etc. so that the condensing temperature of the refrigerant flowing through the indoor heat exchanger 21 becomes a target condensing temperature. The condensing temperature of the refrigerant flowing through the indoor heat exchanger 21 is converted, for example, from the measured value (discharge pressure) of the discharge pressure sensor 65. The target condensing temperature is set, for example, according to the set temperature received from the operation remote controller.

[0056] As described above, the operations of the various devices are controlled, so that the refrigerant flows through the refrigerant circuit 50 during heating operation as follows.

[0057] When the compressor 31 is started, low-pressure gas refrigerant is drawn into the compressor 31 and compressed by the compressor 31 to become high-pressure gas refrigerant. The high-pressure gas refrigerant is sent to the indoor heat exchanger 21 via the flow path switching valve 32, where it exchanges heat with air in the target space that is supplied to the indoor heat exchanger 21 by the indoor fan 22, condensing and becoming high-pressure liquid refrigerant. The temperature of the air supplied to the indoor heat exchanger 21 increases through heat exchange with the refrigerant flowing through the indoor heat exchanger 21, and the air heated by the indoor heat exchanger 21 is blown into the target space. The high-pressure liquid refrigerant that has passed through the indoor heat exchanger 21 is decompressed by the indoor expansion valve 23. The decompressed liquid refrigerant is sent to the outdoor unit 30 via the liquid refrigerant connection pipe 51 and flows into the liquid refrigerant pipe 54d. The refrigerant flowing through the liquid refrigerant pipe 54d is decompressed by the outdoor expansion valve 34 to near the suction pressure of the compressor 31, becoming gas-liquid two-phase refrigerant and flowing into the outdoor heat exchanger 33. The low-pressure gas-liquid two-phase refrigerant that has flowed into the outdoor heat exchanger 33 exchanges heat with the air around the outdoor unit 30 that is supplied by the outdoor fan 36, and evaporates, becoming low-pressure gas refrigerant. The low-pressure gas refrigerant flows into the accumulator 35 via the flow path switching valve 32. The low-pressure gas refrigerant that has flowed into the accumulator 35 is again sucked into the compressor 31.

[0058] (2-1-3-3) Data transmission function The control unit 40 transmits operation data 83 of the devices included in the refrigeration cycle apparatus 2 to the fault diagnosis support device 1. Hereinafter, the devices that transmit the operation data 83 may be referred to as target devices.

[0059] The operating data 83 transmitted to the fault diagnosis support device 1 includes actual measurement values ​​of sensors such as the actual measurement value of the liquid side temperature sensor 61, the actual measurement value of the gas side temperature sensor 62, the actual measurement value of the indoor temperature sensor 63, the actual measurement value of the suction pressure sensor 64, the actual measurement value of the discharge pressure sensor 65, the actual measurement value of the outdoor heat exchanger temperature sensor 66, the actual measurement value of the outdoor temperature sensor 67, and the actual measurement value of the current sensor 68. Hereinafter, the sensors included in the target equipment group may be referred to as sensor A, sensor B, sensor C, etc.

[0060] Furthermore, the operation data 83 transmitted to the fault diagnosis support device 1 includes actual instruction values ​​for the first devices that operate based on instruction values, such as the actual rotation speed of the indoor fan motor 22m, the actual opening of the indoor expansion valve 23, the actual rotation speed of the compressor motor 31m, the actual opening of the outdoor expansion valve 34, and the actual rotation speed of the outdoor fan motor 36m. Hereinafter, the first devices included in the target devices may be referred to as first devices A, etc.

[0061] The control unit 40 transmits the driving data 83 to the fault diagnosis support device 1, for example, every 30 seconds.

[0062] (2-2) Fault diagnosis support device As shown in FIG. 1, the fault diagnosis support device 1 mainly includes a storage unit 11, an input unit 12, an output unit 13, a communication unit 14, and a control unit 19.

[0063] (2-2-1) Storage section The storage unit 11 is a storage device such as a RAM, a ROM, and a HDD, etc. The storage unit 11 stores programs executed by the control unit 19, data necessary for executing the programs, and the like.

[0064] The storage unit 11 particularly stores a first prediction model 81 (described later), a second prediction model 82 (described later), operation data 83, and failure information 84 of each device included in the target device group. The failure information 84 includes the failure period of each device included in the target device group.

[0065] (2-2-2) Input section The input unit 12 is a keyboard and a mouse. Various commands and information for the fault diagnosis support device 1 can be input using the input unit 12.

[0066] The user uses the input unit 12 to input one or more devices from the group of target devices, the status of which will be displayed on the output unit 13. Hereinafter, the devices whose statuses will be displayed on the output unit 13 may be referred to as diagnostic devices.

[0067] The user may input one or more sensors, one or more first devices, or both a sensor and a first device as the diagnostic device.

[0068] (2-2-3) Output section The output unit 13 is a monitor, and can display various data stored in the storage unit 11.

[0069] The output unit 13 displays the status of the diagnostic device (device included in the refrigeration cycle apparatus 2). The status of the diagnostic device is indicated by a status value in a first period P1. The first period P1 is a period going back a predetermined time from the time of the most recent operating data 83 acquired by the acquisition unit 191. If the diagnostic device is a sensor, the status value is a measurement value of the sensor. If the diagnostic device is a first device, the status value is an instruction value for the first device.

[0070] The state value is composed of a first state value and a second state value. The first state value is the actual value of the state value. The first state value is acquired by the acquisition unit 191. When the diagnostic device is a sensor, the first state value is the actual measurement value of the sensor. When the diagnostic device is the first device, the first state value is the actual instruction value to the first device. The second state value is a predicted value of the state value when the refrigeration cycle apparatus 2 is operating normally. The second state value is predicted by the prediction unit 193. When the diagnostic device is a sensor, the second state value is a predicted value of the measurement value of the sensor when the refrigeration cycle apparatus 2 is operating normally (normal predicted value of the sensor). When the diagnostic device is the first device, the second state value is a predicted value of the instruction value to the first device when the refrigeration cycle apparatus 2 is operating normally.

[0071] (2-2-4) Communications Department The communication unit 14 is a network interface device for communicating with the refrigeration cycle apparatus 2 via the network NW.

[0072] (2-2-5) Control Unit The control unit 19 is a processor such as a CPU or a GPU. The control unit 19 reads and executes programs stored in the storage unit 11 to realize various functions of the fault diagnosis support device 1. The control unit 19 can write calculation results to the storage unit 11 and read information stored in the storage unit 11 according to the programs.

[0073] As shown in FIG. 1, the control unit 19 mainly includes an acquisition unit 191, a generation unit 192, a prediction unit 193, a determination unit 194, and a display unit 195 as functional blocks.

[0074] (2-2-5-1) Acquisition section The acquisition unit 191 acquires the operating data 83 from the refrigeration cycle apparatus 2. In other words, the acquisition unit 191 acquires the first status values ​​of the devices included in the target device group from the refrigeration cycle apparatus 2. In further other words, the acquisition unit 191 acquires, from the refrigeration cycle apparatus 2, the actual measured values ​​of the sensors included in the target device group and the actual instruction values ​​for the first device included in the target device group.

[0075] The acquisition unit 191 acquires the operating data 83 every time the operating data 83 is transmitted from the refrigeration cycle apparatus 2 by the data transmission function of the control unit 40.

[0076] (2-2-5-2) Generation part The generation unit 192 generates a first prediction model 81 for each device included in the target device group. The first prediction model 81 predicts the second state value of the device included in the target device group.

[0077] When the target device is sensor A, the first prediction model 81 predicts the second state value of sensor A, for example, from the first state values ​​of devices included in the target device group other than sensor A. At this time, the generation unit 192 generates the first prediction model 81 by learning the first state values ​​of devices included in the target device group other than sensor A, which are acquired by the acquisition unit 191, in association with the first state value of sensor A.

[0078] When the target device is sensor A, the first prediction model 81 predicts the second state value of sensor A from, for example, the first state values ​​of sensors included in the target device group other than sensor A. At this time, the generation unit 192 generates the first prediction model 81 by learning the first state values ​​of sensors included in the target device group other than sensor A, which are acquired by the acquisition unit 191, in association with the first state value of sensor A.

[0079] When the target device is the first device A, the first prediction model 81 predicts the second state value of the first device A, for example, from the first state values ​​of devices included in the target device group other than the first device A. At this time, the generation unit 192 generates the first prediction model 81 by learning the first state values ​​of the devices included in the target device group other than the first device A, which are acquired by the acquisition unit 191, in association with the first state value of the first device A.

[0080] When the target device is the first device A, for example, the first prediction model 81 predicts the second state value of the first device A from the first state values ​​of the first devices included in the target device group other than the first device A. At this time, the generation unit 192 generates the first prediction model 81 by learning the first state values ​​of the first devices included in the target device group other than the first device A, which are acquired by the acquisition unit 191, in association with the first state value of the first device A.

[0081] Furthermore, the generation unit 192 generates a second prediction model 82. The second prediction model 82 predicts the failure probability (probability that the device is broken) of each device included in the target device group during the first period P1.

[0082] The second prediction model 82 predicts the failure probability of each device included in the target device group during the first period P1, for example, from the deviation for each device included in the target device group during the first period P1. The deviation for the first period P1 is calculated, for example, by averaging the difference between the first state value and the second state value over the first period P1. The generation unit 192 generates the second prediction model 82 by, for example, associating the deviation for a predetermined period of each device included in the target device group with failure information 84 for the predetermined period of each device included in the target device group, and learning the correlation between the deviation. The deviation for a predetermined period of each device included in the target device group is calculated using the first state value for the predetermined period acquired by the acquisition unit 191 and the second state value for the predetermined period predicted by the prediction unit 193.

[0083] The second prediction model 82 may, for example, predict the failure probability of each sensor included in the target device group during the first period P1 from the deviation of each sensor included in the target device group during the first period P1. Furthermore, the second prediction model 82 may, for example, predict the failure probability of each first device included in the target device group during the first period P1 from the deviation of each first device included in the target device group during the first period P1.

[0084] (2-2-5-3) Prediction section The prediction unit 193 uses the first prediction model 81 to predict the second state value of each device included in the target device group.

[0085] The prediction unit 193 predicts the second state value for the predetermined period by inputting the first state value for the predetermined period acquired by the acquisition unit 191 into the first prediction model 81, for example.

[0086] (2-2-5-4) Judgment section The determination unit 194 determines whether the diagnostic equipment is normal or not. In this embodiment, the determination unit 194 determines whether the diagnostic equipment is normal or not based on the first state value and the second state value.

[0087] The determination unit 194, for example, calculates the degree of deviation for each device included in the target device group during the first period P1. The determination unit 194 predicts the failure probability of the diagnostic device during the first period P1 by inputting the degree of deviation for each device included in the target device group during the first period P1 into the second prediction model 82. If the failure probability of the diagnostic device is smaller than the first threshold, the determination unit 194 determines that the diagnostic device is normal. If the failure probability of the diagnostic device is equal to or greater than the first threshold, the determination unit 194 determines that the diagnostic device is malfunctioning.

[0088] The determination unit 194 determines whether or not there is a predetermined deviation between the first state value and the second state value of the diagnostic device during the first period P1. For example, if the degree of deviation during the first period P1 of the diagnostic device is greater than a second threshold, the determination unit 194 determines that there is a predetermined deviation between the first state value and the second state value. The determination unit 194 may determine whether or not there is a predetermined deviation between the first state value and the second state value using, for example, a statistical index, a relative error, or the like.

[0089] If there is a predetermined difference between the first and second state values ​​of the diagnostic device during the first period P1 and the diagnostic device is normal, the determination unit 194 generates first information 80. The first information 80 is information indicating that the diagnostic device is normal.

[0090] If there is a predetermined deviation between the first and second state values ​​of the diagnostic device during the first period P1 and the diagnostic device is normal, the determination unit 194 identifies a deviation reason 85 for the predetermined deviation between the first and second state values ​​of the diagnostic device. The first information 80 includes the deviation reason 85.

[0091] When the diagnostic device is normal, the predetermined deviation between the first and second state values ​​of the diagnostic device occurs, for example, because a failure of a device other than the diagnostic device has changed the control of the diagnostic device. In this case, the reason for deviation 85 may be, for example, "The actual measurement value of sensor C has increased due to a failure of sensor C, and the actual indication value of first device A has increased, so the actual measurement value of sensor A is larger than the normal predicted value."

[0092] If the diagnostic device is normal, the predetermined deviation between the first and second status values ​​of the diagnostic device is caused by, for example, an abnormality in the refrigerant state. In this case, the reason for the deviation 85 may be, for example, "The actual measurement value of sensor A is greater than the normal predicted value because the refrigerant superheat level has increased due to a shortage of refrigerant."

[0093] When the diagnostic device is normal, the predetermined deviation between the first and second state values ​​of the diagnostic device occurs due to, for example, a relatively special condition. In this case, the reason for the deviation 85 may be, for example, "The actual measurement value of sensor A is larger than the normal predicted value because the prediction accuracy of the normal predicted value has decreased due to low outdoor air temperature operation."

[0094] When the diagnostic device is normal, the predetermined deviation between the first and second state values ​​of the diagnostic device occurs due to, for example, temporary behavior, noise, etc. In this case, the reason for deviation 85 may be, for example, "due to control reasons, the actual measured value of sensor A is temporarily larger than the normal predicted value."

[0095] When the diagnostic equipment is normal, the predetermined deviation between the first and second state values ​​of the diagnostic equipment occurs, for example, by inputting the actual measurement value of a faulty sensor into the first prediction model 81 or the second prediction model 82. In this case, the reason for deviation 85 may be, for example, "Due to the failure of sensor C, the actual measurement value of sensor C increased, and the increased actual measurement value of sensor C was used to calculate the predicted normal value of sensor A, resulting in a deviation between the actual measurement value of sensor A and the predicted normal value."

[0096] The determination unit 194 may identify the deviation reason 85 by using, for example, a correspondence table between the deviation degree and determination result and the occurring phenomenon for each device included in the target device group, which is stored in advance in the storage unit 11. The determination unit 194 may identify the deviation reason 85 by, for example, statistical causal inference, SHAP analysis, etc. The determination unit 194 may identify the deviation reason 85 by, for example, using a statistical model, a machine learning model, a deep learning model, etc., which is prepared in advance and whose input is the first state value, the second state value, or the deviation degree of each device included in the target device group and whose output is the deviation reason 85.

[0097] (2-2-5-5)Display section Display unit 195 displays the first state value and the second state value of the diagnostic equipment in first period P1 on output unit 13. Display unit 195 also displays the determination result by determination unit 194 on output unit 13.

[0098] Fig. 4 is a diagram showing an example of a display on the output unit 13. In Fig. 4, the diagnostic equipment is sensor A. In graph G1 shown in Fig. 4, the horizontal axis represents time, and the vertical axis represents the measurement value of the sensor (status value of the diagnostic equipment). In graph G1, the actual measurement value V1 of sensor A (first status value of the diagnostic equipment) is shown by a solid line, and the normal predicted value V2 of sensor A (second status value of the diagnostic equipment) is shown by a dashed line. Outside graph G1, the judgment result by judgment unit 194, "normal," is displayed.

[0099] If there is a predetermined deviation between the first status value and the second status value of the diagnostic device during the first period P1 and the diagnostic device is normal, the display unit 195 displays the first information 80 on the output unit 13.

[0100] The deviation reason 85 may be displayed outside the graph showing the status of the diagnostic equipment, or may be displayed when the user selects a simple icon showing the deviation reason 85, or may be displayed when the user selects a specific location.

[0101] In Figure 4, assuming that there is a predetermined deviation between the actual measurement value V1 of sensor A and the normal predicted value V2 and that sensor A is normal, a deviation reason 85 is displayed outside graph G1, stating that "the actual measurement value of sensor C increased due to a failure of sensor C, and the actual indication value to first device A increased, so the actual measurement value of sensor A is larger than the normal predicted value."

[0102] The display unit 195 may further display the failure probability of the diagnostic device in the first period P1 predicted by the determination unit 194. Fig. 5 is a diagram showing an example of a display on the output unit 13 in which the failure probability is displayed. In Fig. 5, the failure probability is added to the determination result in Fig. 4.

[0103] (3) Processing An example of the processing of the fault diagnosis support device 1 will be described with reference to the flowchart of Fig. 6. As a premise, the fault diagnosis support device 1 periodically acquires the operating data 83 from the refrigeration cycle device 2.

[0104] As shown in step S1, the fault diagnosis support device 1 receives a diagnostic device input from the user.

[0105] After step S1 is completed, the fault diagnosis support device 1 displays the first state value of the diagnostic device in the first period P1 acquired by the acquisition unit 191 on the output unit 13, as shown in step S2.

[0106] After completing step S2, as shown in step S3, the fault diagnosis support device 1 predicts the second state value of the diagnostic equipment in the first period P1 by inputting the first state value of the diagnostic equipment other than the diagnostic equipment acquired by the acquisition unit 191 into the first prediction model 81, and displays the predicted second state value on the output unit 13.

[0107] After completing step S3, as shown in step S4, the fault diagnosis support device 1 predicts the failure probability of the diagnostic equipment in the first period P1 by inputting the deviation degree of each equipment included in the target equipment group in the first period P1 into the second prediction model 82.

[0108] After step S4, the fault diagnosis support device 1 determines whether the failure probability of the diagnostic equipment is smaller than the first threshold value as shown in step S5. If the failure probability of the diagnostic equipment is smaller than the first threshold value, the process proceeds to step S6. If the failure probability of the diagnostic equipment is equal to or greater than the first threshold value, the process proceeds to step S9.

[0109] When the process proceeds from step S5 to step S6, the fault diagnosis support device 1 determines that the diagnostic equipment is normal, and displays the determination result "normal" on the output unit 13.

[0110] After step S6, the fault diagnosis support device 1 determines whether the deviation of the diagnostic equipment in the first period P1 is greater than the second threshold value as shown in step S7. If the deviation of the diagnostic equipment in the first period P1 is greater than the second threshold value, the process proceeds to step S8.

[0111] When proceeding from step S7 to step S8, the fault diagnosis support device 1 identifies a deviation reason 85 for a predetermined deviation occurring between the first state value and the second state value of the diagnostic equipment, and displays the identified deviation reason 85 on the output unit 13.

[0112] When the process proceeds from step S5 to step S9, the fault diagnosis support device 1 determines that the diagnostic equipment is faulty, and displays the determination result "fault" on the output unit 13.

[0113] (4) Features (4-1) Conventionally, there is a technology that displays a first status value, which is the actual value of a status value indicating the status of a device included in a diagnostic object, and a second status value, which is a predicted value of the status value when the diagnostic object is operating normally.

[0114] Even when the device is normal, a certain deviation may occur between the first status value and the second status value due to other factors. In this case, the user may mistakenly believe that the device is broken due to the certain deviation between the first status value and the second status value.

[0115] The fault diagnosis support device 1 of this embodiment includes an output unit 13 and a control unit 19. The output unit 13 displays the status of the equipment included in the refrigeration cycle apparatus 2. The control unit 19 displays a first status value and a second status value on the output unit 13. The first status value is the actual value of the status value. The status value indicates the status of the equipment. The second status value is a predicted value of the status value when the refrigeration cycle apparatus 2 is operating normally. The control unit 19 determines whether the equipment is normal. If there is a predetermined deviation between the first status value and the second status value and the equipment is normal, the control unit 19 displays first information 80 on the output unit 13. The first information 80 is information indicating that the equipment is normal. The equipment includes a sensor or a first device that operates based on an indication value.

[0116] In the fault diagnosis support device 1 of this embodiment, when there is a predetermined deviation between the first status value and the second status value and the device is normal, the control unit 19 displays first information 80 on the output unit 13. The first information 80 is information indicating that the device is normal.

[0117] As a result, the fault diagnosis support device 1 can prevent the user from misunderstanding that the equipment is faulty when there is a predetermined deviation between the first status value and the second status value and the equipment is normal.

[0118] (4-2) In the fault diagnosis support device 1 of this embodiment, the state value includes a measurement value of a sensor or an instruction value to the first device.

[0119] (4-3) In the fault diagnosis support device 1 of this embodiment, when there is a predetermined deviation between the first status value and the second status value and the device is normal, the control unit 19 identifies a deviation reason 85 for the predetermined deviation between the first status value and the second status value. The first information 80 includes the deviation reason 85.

[0120] As a result, the fault diagnosis support device 1 can show the user the reason why the device is normal.

[0121] (4-4) In the fault diagnosis support device 1 of this embodiment, the control unit 19 predicts a fault probability (probability that the device is faulty). The control unit 19 displays the fault probability on the output unit 13.

[0122] As a result, the fault diagnosis support device 1 can provide the user with more information for determining whether the device is faulty.

[0123] (4-5) The fault diagnosis support method of this embodiment is a fault diagnosis support method performed by a fault diagnosis support device 1. The fault diagnosis support device 1 includes an output unit 13 and a control unit 19. The output unit 13 displays the status of the devices included in the refrigeration cycle apparatus 2. The fault diagnosis support method includes first steps S2 to S3, second steps S4 to S6 and S9, and third steps S7 to S8. The first steps S2 and S3 display a first status value and a second status value on the output unit 13. The first status value is an actual value of the status value. The status value indicates the status of the device. The second status value is a predicted value of the status value when the refrigeration cycle apparatus 2 is operating normally. The second steps S4 to S6 and S9 determine whether the device is normal. The third steps S7 and S8 display first information 80 on the output unit if there is a predetermined deviation between the first status value and the second status value and the device is normal. The first information 80 is information indicating that the device is normal. The device includes a sensor or a first device that operates based on an indication value.

[0124] (5) Variations (5-1) Variation 1A In this embodiment, the status value is a measurement value of the sensor or an instruction value to the first device. However, the status value may be a value calculated from the measurement value of the sensor. Examples of values ​​calculated from the measurement value of the sensor include the degree of superheat of the refrigerant, the degree of subcooling of the refrigerant, and a COP (Coefficient of Performance). In this case, the first status value is calculated from the actual measurement value of the sensor, and the second status value is calculated from the normal predicted value of the sensor.

[0125] For example, if the value calculated from the sensor measurement value is the discharge superheat of the refrigerant (discharge temperature - high pressure equivalent saturation temperature), the second state value of the discharge superheat of the refrigerant may be calculated by "normal predicted value of discharge temperature - normal predicted value of high pressure equivalent saturation temperature", or may be calculated using a machine learning model that predicts the second state value of the discharge superheat of the refrigerant.

[0126] When the diagnostic device is normal, the predetermined deviation between the first and second state values ​​of the diagnostic device occurs, for example, because a measurement value of a faulty sensor is used to calculate the COP, etc. In this case, the deviation reason 85 may be, for example, "Due to the failure of sensor C, the actual measurement value of sensor C increased, and the increased actual measurement value of sensor C was used to calculate the actual value of COP, so the actual value of COP is larger than the normal predicted value."

[0127] (5-2) Variation 1B In this embodiment, the fault diagnosis support device 1 predicts the failure probability of the diagnostic equipment using the second prediction model 82. However, the fault diagnosis support device 1 may predict the failure probability of the diagnostic equipment by designing a scoring system for each failure based on the type of failure, the frequency of the failure, the magnitude of the impact of the failure, etc. Alternatively, the fault diagnosis support device 1 may predict the failure probability of the diagnostic equipment by using statistical indices.

[0128] (5-3) Variation 1C In this embodiment, the fault diagnosis assistance device 1 displays the deviation reason 85 as the first information 80. However, the display of the first information 80 may include updating the display of the second status value to not display or updating the display of the second status value to be grayed out.

[0129] (5-4) Variation 1D The control unit 19 may calculate a prediction range of the state value when the refrigeration cycle apparatus 2 is operating normally, and display the prediction range on the output unit 13. The prediction range is displayed as an interval representing the confidence level around the second state value. The interval representing the confidence level indicates how accurate the prediction is or how much uncertainty is included in a particular prediction.

[0130] The control unit 19 calculates the prediction range by a statistical method using, for example, the distribution of data, standard deviation, and other statistical indicators.

[0131] Fig. 7 is a diagram showing an example of a display on the output unit 13 displaying a predicted range. In Fig. 7, a diagonal line indicating a predicted range R1 is added to the normal predicted value V2 (second state value of the diagnostic device) of the sensor A in Fig. 4.

[0132] FIG. 8 is a diagram showing another example of display on the output unit 13 in which a predicted range is displayed. In FIG. 8, the diagnostic device is sensor B. In graph G2 shown in FIG. 8, the actual measured value V3 of sensor B is shown by a solid line, and the normal predicted value V4 of sensor B is shown by a dashed line. In FIG. 8, diagonal lines are drawn to indicate the predicted range R2, and first information 80 is displayed stating, "The actual measured value V3 of sensor B is statistically within the range that the normal predicted value V4 of sensor B can take, and therefore sensor B is normal."

[0133] As a result, the fault diagnosis support device 1 can provide the user with further information for determining whether the device is faulty. For example, even if the first status value and the second status value are different from each other, the fault diagnosis support device 1 can inform the user that the device being diagnosed is likely to be normal if the first status value is within the predicted range of the second status value.

[0134] (5-5) Variation 1E In this embodiment, the determination unit 194 predicts the failure probability of the diagnostic device in the first period P1 using the second prediction model 82 and determines whether the diagnostic device is normal by comparing the failure probability with the first threshold. However, the determination unit 194 may determine whether the diagnostic device is normal by using a third prediction model that directly predicts whether the diagnostic device is normal.

[0135] The third prediction model predicts whether each device included in the target device group is normal during the first period P1, for example, from the degree of deviation of each device included in the target device group during the first period P1.

[0136] (5-6) Variation 1F In this embodiment, the determination unit 194 determines whether the diagnostic device is normal based on the first state value and the second state value. However, the determination unit 194 may determine whether the diagnostic device is normal by other methods.

[0137] The determination unit 194 may determine whether the diagnostic device is normal or not using a rule base based on the first status value, as shown in Non-Patent Document 1, for example. The determination unit 194 may predict whether the diagnostic device is normal or not by, for example, processing the first status value of each device included in the target device group using the rule base. The determination unit 194 may further identify the cause of failure of the diagnostic device determined to be faulty using the rule base.

[0138] The determination unit 194 may determine whether the diagnostic device is normal based on the first state value using a statistical method, machine learning, or deep learning, as disclosed in Patent Document 2, for example. The determination unit 194 may predict whether the diagnostic device is normal by, for example, inputting the first state value of each device included in the target device group into a statistical model, a machine learning model, or a deep learning model. The determination unit 194 may predict the failure probability of the diagnostic device by, for example, inputting the first state value of each device included in the target device group into a statistical model, a machine learning model, or a deep learning model, and determine whether the diagnostic device is normal by comparing the failure probability with a third threshold. The determination unit 194 may further identify the cause of failure of the diagnostic device determined to be faulty using a statistical method, machine learning, or deep learning.

[0139] (5-7) Although the embodiments of the present disclosure have been described above, it will be understood that various changes in form and details can be made without departing from the spirit and scope of the present disclosure as defined in the claims. [Explanation of symbols]

[0140] 1. Fault diagnosis support device 2 Refrigeration cycle equipment 13 Output section 19 Ministry of Control 22m, 23, 31m, 34, 36m 1st Machine 61~68 センサ 80 First Intelligence 85 Reasons for Separation S2~S3 1st ステップ S4~S6,S9 2nd ステップ S7~S8 3rd ステップ

Prior Technical Literature

Charter Documents

[0141] [Patent Document 1] International Publication No. 2021-245898 [Patent Document 2] International Publication No. 2018-092258

Non-patent document 1

Claims

1. an output unit (13) that displays the status of devices included in the refrigeration cycle device (2); A control unit (19); Equipped with The control unit a first state value which is an actual value of a state value indicating a state of the device, and a second state value which is a predicted value of the state value when the refrigeration cycle apparatus is operating normally, are displayed on the output unit; Determine whether the device is normal; When there is a predetermined difference between the first status value and the second status value and the device is normal, first information (80) indicating that the device is normal is displayed on the output unit; The device includes a sensor (61 to 68) or a first device (22m, 23, 31m, 34, 36m) that operates based on an indicated value. Fault diagnosis support device (1).

2. The state value includes a measurement value of the sensor, a value calculated from the measurement value of the sensor, or the indication value. A fault diagnosis support device (1) according to claim 1.

3. When there is a predetermined deviation between the first status value and the second status value and the device is normal, the control unit identifies a deviation reason (85) for the predetermined deviation between the first status value and the second status value; The first information includes the reason for the deviation. A fault diagnosis support device (1) according to claim 1 or 2.

4. The control unit calculating a predicted range of the state value when the refrigeration cycle device is operating normally; displaying the prediction range on the output unit; A fault diagnosis support device (1) according to claim 1 or 2.

5. The control unit predicting the probability that the device is faulty; displaying the probability on the output unit; A fault diagnosis support device (1) according to claim 1 or 2.

6. A fault diagnosis support method performed by a fault diagnosis support device (1) including an output unit (13) that displays the state of a device included in a refrigeration cycle device (2) and a control unit (19), comprising: a first step (S2 to S3) of displaying on the output unit a first state value which is an actual value of a state value indicating a state of the device, and a second state value which is a predicted value of the state value when the refrigeration cycle apparatus is operating normally; A second step (S4 to S6, S9) of determining whether the device is normal; a third step (S7-S8) of displaying first information (80) indicating that the device is normal on the output unit when there is a predetermined deviation between the first status value and the second status value and the device is normal; and The device includes a sensor (61 to 68) or a first device (22m, 23, 31m, 34, 36m) that operates based on an indicated value. Fault diagnosis support method.

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