Deterioration information systems and programs

Abstract

To provide a deterioration information system and program for outputting feature quantities that enables accurate determination of deterioration of a compressor.SOLUTION: A deterioration information system 1 for computing information correlating to deterioration of a compressor 2 is provided, the deterioration information system 1 comprising a control unit having a computation function for computing feature quantities correlating with deterioration of the compressor 2 from waveform data obtained from the compressor 2, and a selection function for outputting feature quantities that allow an operating condition of the compressor 2 to be within a given range when acquiring waveform data.SELECTED DRAWING: Figure 11

Description

[Technical Field]

[0001] Degradation information systems and programs. [Background technology]

[0002] Patent Document 1 (Japanese Patent Application Laid-Open No. 2022-101344) discloses a power conversion device that can diagnose deterioration and abnormalities in an AC motor with a simpler configuration. Summary of the Invention [Problem to be solved by the invention]

[0003] However, the diagnosis based on the monitoring results shown in Patent Document 1 may not provide high diagnostic accuracy.

[0004] The present disclosure proposes a degradation information system and program that outputs a suitable feature quantity correlated with degradation. [Means for solving the problem]

[0005] A deterioration information system according to a first aspect is a deterioration information system that calculates information correlated with compressor deterioration and includes a control unit. The control unit has a calculation function that calculates a feature value correlated with compressor deterioration from waveform data obtained from the compressor, and a selection function that outputs a feature value for which the operating conditions of the compressor at the time the waveform data was obtained fall within a predetermined range.

[0006] The control unit of this deterioration information system has a calculation function for calculating feature quantities correlated with compressor deterioration and a selection function for outputting feature quantities for which the compressor operating conditions fall within a predetermined range. Therefore, this deterioration information system can output feature quantities suitable for diagnosing deterioration.

[0007] A degradation information system according to a second aspect is the degradation information system according to the first aspect, further comprising a storage device that stores feature quantities of the plurality of compressors.

[0008] A degradation information system according to a third aspect is the degradation information system according to the second aspect, in which the storage device is a server or a cloud. The feature quantities stored in the storage device are selected based on the operating conditions of the compressor when the waveform data used in the calculation was acquired.

[0009] A deterioration information system according to a fourth aspect is the deterioration information system according to any one of the first to third aspects, wherein the waveform data is current waveform data showing a waveform of a current of a motor of the compressor. The feature amount is the magnitude of a frequency component that is N times or N / M times the rotation speed of the motor. N and M are integers. M is greater than N.

[0010] A deterioration information system according to a fifth aspect is the deterioration information system according to any one of the first to fourth aspects, wherein the compressor has a motor driven by a motor drive device. The motor drive device has a DC generator and a converter. The DC generator generates a DC voltage according to a power supply voltage supplied from an external power supply. The converter converts the DC voltage generated by the DC generator into an AC voltage by switching operation and supplies the AC voltage to the motor. The operating conditions are at least one of the rotation speed of the motor of the compressor, the pressure of the refrigerant discharged from the compressor, the pressure of the refrigerant drawn into the compressor, the temperature of the refrigerant discharged from the compressor, the temperature of the refrigerant drawn into the compressor, the frequency component of the rotation speed of the torque of the compressor, and the DC voltage. The predetermined range is a range of operating conditions when the operating state of the compressor is steady.

[0011] A deterioration information system according to a sixth aspect is the deterioration information system according to any one of the first to fifth aspects, wherein the operating conditions are at least one of the rotation speed of a motor included in the compressor, the pressure of the refrigerant discharged from the compressor, the pressure of the refrigerant drawn into the compressor, the temperature of the refrigerant discharged from the compressor, and the temperature of the refrigerant drawn into the compressor. The predetermined range is a range of operating conditions that is set in advance.

[0012] A seventh aspect of the degraded information system is the degraded information system according to any one of the first to sixth aspects, in which the predetermined range is externally changeable.

[0013] The program of an eighth aspect is a program for causing a computer of a control device that calculates information correlated with compressor deterioration to execute a calculation function and a selection function. The calculation function is a function for calculating a feature correlated with compressor deterioration from waveform data obtained from the compressor. The selection function is a function for outputting a feature whose compressor operating conditions at the time the waveform data was obtained fall within a predetermined range.

[0014] A program according to a ninth aspect is the program according to the eighth aspect, further causing the program to execute a storage function of storing feature quantities of a plurality of compressors in a storage device.

[0015] A tenth aspect of the present invention is a program according to the ninth aspect, wherein the storage device is a server or a cloud. The feature quantities stored in the storage device are selected based on the operating conditions of the compressor when the waveform data used in the calculation was acquired.

[0016] A program according to an eleventh aspect is the program according to any one of the eighth to tenth aspects, wherein the waveform data is current waveform data showing a waveform of a current of a motor of the compressor. The feature amount is the magnitude of a frequency component that is N times or N / M times the rotation speed of the motor. N and M are integers. M is greater than N.

[0017] A program according to a twelfth aspect is the program according to any one of the eighth to eleventh aspects, wherein the compressor has a motor driven by a motor drive device. The motor drive device has a DC generator and a converter. The DC generator generates a DC voltage according to a power supply voltage supplied from an external power supply. The converter converts the DC voltage generated by the DC generator into an AC voltage through a switching operation and supplies the AC voltage to the motor. The operating conditions are at least one of the rotation speed of the motor of the compressor, the pressure of the refrigerant discharged from the compressor, the pressure of the refrigerant drawn into the compressor, the temperature of the refrigerant discharged from the compressor, the temperature of the refrigerant drawn into the compressor, a frequency component of the rotation speed of the torque of the compressor, and the DC voltage. The predetermined range is a range of operating conditions when the compressor is in a steady operating state.

[0018] A thirteenth aspect of the present invention is a program according to any one of the eighth to twelfth aspects, wherein the operating conditions are at least one of the rotation speed of a motor included in the compressor, the pressure of the refrigerant discharged from the compressor, the pressure of the refrigerant drawn into the compressor, the temperature of the refrigerant discharged from the compressor, and the temperature of the refrigerant drawn into the compressor. The predetermined range is a range of operating conditions that has been set in advance.

[0019] A program according to a fourteenth aspect is a program according to any one of the eighth to thirteenth aspects, wherein the predetermined range is externally changeable.

[0020] A degradation information system according to a fifteenth aspect is the degradation information system according to any one of the first to seventh aspects, wherein the selection function includes a first selection function and a second selection function. The first selection function is a function of selecting waveform data whose compressor operating conditions fall within a predetermined range. The second selection function is a function of selecting, from among the feature amounts calculated by the calculation function from the waveform data selected by the first selection function, a feature amount whose compressor operating conditions are closest to preset operating conditions. [Brief explanation of the drawings]

[0021] [Figure 1]1 is a schematic diagram showing a degradation information system 1. FIG. [Figure 2] FIG. 2 is a configuration diagram of a compressor 2. [Figure 3] FIG. 2 is a configuration diagram of a control device 11. [Figure 4] 10 is a graph showing a case where oil shortage occurs. [Figure 5] 10 is a graph showing a case where liquid compression occurs. [Figure 6] 10 is a graph showing the case where insulation deterioration occurs. [Figure 7] 10 is a graph showing V0 when worn. [Figure 8] 10 is a graph showing VF when worn. [Figure 9] 10 is a graph showing Vfr when worn. [Figure 10] FIG. 1 is a diagram illustrating the configuration of a terminal 13. [Figure 11] 10 is a flowchart showing the operation of the deteriorated information system 1. [Figure 12] FIG. 2 is a configuration diagram of a control device 11. [Figure 13] 10 is a flowchart showing the operation of the deteriorated information system 1. [Figure 14] FIG. 2 is a configuration diagram of a control device 11. [Figure 15] FIG. 1 is a diagram illustrating the configuration of a terminal 13. [Figure 16] 10 is a flowchart showing the operation of the deteriorated information system 1. [Figure 17] FIG. 1 is a diagram illustrating the configuration of a terminal 13. [Figure 18] FIG. 2 is a schematic diagram showing the configuration of a degradation information system 3. [Figure 19] FIG. 2 is a configuration diagram of a control device 31. [Figure 20] 10 is a flowchart showing the operation of the degradation information system 3. [Figure 21] FIG. 2 is a configuration diagram of a control device 31. [Figure 22] 10 is a flowchart showing the operation of the degradation information system 3. [Figure 23]FIG. 2 is a schematic diagram showing a degradation information system 4. [Figure 24] FIG. 2 is a configuration diagram of a control device 41. [Figure 25] 10 is a flowchart showing the operation of the degradation information system 4. DETAILED DESCRIPTION OF THE INVENTION

[0022] First Embodiment A deterioration information system 1 according to the first embodiment will be described. The deterioration information system 1 is a system that calculates information correlated with the deterioration of the compressor 2.

[0023] (1) Overall structure The overall configuration of the degraded information system 1 will be described. FIG. 1 is a schematic diagram showing the degraded information system 1. The degraded information system 1 includes a control device 11, a storage device 12, and a terminal 13. The degraded information system 1 may include multiple control devices 11. The degraded information system 1 may include multiple storage devices 12. The degraded information system 1 may include multiple terminals 13. In this embodiment, the control device 11 and the terminal 13 form a control unit.

[0024] (1-1) Control device 11 The control device 11 is connected to the compressor 2 and the storage device 12 by wire or wirelessly. The detailed configuration of the control device 11 will be described later.

[0025] (1-2) Storage device 12 The storage device 12 stores features correlated with deterioration of the compressor 2, etc. Details of the features will be described later. The storage device 12 can be used as a database. Examples of the storage device 12 include HDDs, SSDs, EEPROMs, and flash memories. The storage device 12 is connected to the control device 11 by wire or wirelessly. The storage device 12 is connected to the terminal 13 by wire or wirelessly in response to an operation by a user of the terminal 13.

[0026] (1-3) Terminal 13 The terminal 13 is a tablet terminal. The terminal 13 may be any of a notebook computer, a smartphone, and a desktop computer. The terminal 13 is connected to the storage device 12 via a wired or wireless connection by an operation of a user of the terminal 13. An example of the user of the terminal 13 is a service engineer. The detailed configuration of the terminal 13 will be described later.

[0027] (1-4) Compressor 2 The compressor 2 is provided in a refrigeration cycle device (not shown). The refrigeration cycle device is a device that uses a vapor compression refrigeration cycle to condition the air of a space to be air-conditioned. Examples of air conditioning include cooling, freezing, heating, humidification, dehumidification, air purification, ventilation, etc.

[0028] 2 is a configuration diagram of the compressor 2. The compressor 2 mainly includes a motor driving device 21 and a motor 22 driven by the motor driving device 21. The motor driving device 21 mainly includes a DC generating unit 211 and a conversion unit 212.

[0029] (1-4-1) DC generation section 211 The DC generating unit 211 generates a DC voltage in response to a power supply voltage supplied from an external power supply. For example, it is configured by a diode bridge circuit in which a plurality of rectifying diodes are connected in a bridge shape, and a DC unit having a capacitor and smoothing the output of the diode bridge circuit.

[0030] (1-4-2) Conversion unit 212 The converter 212 converts the DC voltage generated by the DC generator 211 into an AC voltage by a switching operation and supplies the AC voltage to the motor 22. AC voltage The rotation speed of the compressor 2 changes in accordance with the frequency of the inverter 2. The conversion unit 212 controls the rotation speed of the compressor 2 to match the command value by a switching operation.

[0031] (1-5) Hardware configuration The control device 11 and the terminal 13 are realized by a computer. The control device 11 and the terminal 13 include a control and arithmetic device and a storage device. The control and arithmetic device can be a processor such as a CPU or a GPU. The control and arithmetic device reads a program stored in the storage device and performs predetermined image processing and arithmetic processing according to the program. Furthermore, the control and arithmetic device can write the results of calculations to the storage device and read information stored in the storage device according to the program.

[0032] (2) Detailed configuration (2-1) Control device 11 The detailed configuration of the control device 11 will be described. Fig. 3 is a configuration diagram of the control device 11. Fig. 3 shows various functions realized by the control arithmetic device. The control device 11 has an acquisition unit 111, a first selection unit 112, a calculation unit 113, a time information generation unit 114, and a recording unit 115.

[0033] (2-1-1) Acquisition part 111 The acquisition unit 111 acquires operating conditions and waveform data based on information obtained from the compressor 2 and various sensors provided in the refrigeration cycle device. The operating conditions are at least one of the rotation speed of the motor 22, the pressure of the refrigerant discharged from the compressor 2, the pressure of the refrigerant drawn into the compressor 2, the temperature of the refrigerant discharged from the compressor 2, the temperature of the refrigerant drawn into the compressor 2, the frequency component of the rotation speed of the torque of the compressor 2, and the DC voltage generated by the DC generation unit 211. Some compressors 2 have two ports, a suction port and an injection port, through which the refrigerant is drawn. In this case, the pressure of the refrigerant drawn into the compressor 2 refers to either the pressure of the suction port or the pressure of the injection port, or both. The temperature of the refrigerant drawn into the compressor 2 refers to either the temperature of the suction port or the temperature of the injection port, or both.

[0034] The waveform data is current waveform data that indicates the waveform of the current of the motor 22. The current waveform data is obtained from current sensors attached to the three windings of the motor. Alternatively, the current waveform data may be derived from the DC current detected by a shunt resistor provided in the DC section and the switching pattern. The waveform data may be either sound waveform data that indicates the waveform of the sound of the compressor 2 or vibration waveform data that indicates the waveform of the vibration of the compressor 2. An example of the sound of the compressor 2 is sound acquired from a microphone near the compressor 2. Examples of the vibration of the compressor 2 are vibration acquired from a vibration sensor on the housing of the compressor 2, vibration acquired from a vibration sensor on the suction pipe of the compressor 2, and vibration acquired from a vibration sensor on the discharge pipe of the compressor 2.

[0035] The acquisition unit 111 acquires, at predetermined time intervals, the operating conditions and waveform data from the compressor 2. For example, the acquisition unit 111 acquires the operating conditions and waveform data from the compressor 2 every second.

[0036] (2-1-2) First sorting unit 112 The first selection unit 112 selects waveform data for which the operating conditions of the compressor 2 at the time of waveform data acquisition fall within a predetermined range. "Time of waveform data acquisition" indicates the time when the acquisition unit 111 acquired the waveform data. Alternatively, "time of waveform data acquisition" may be the time period when the acquisition unit 111 acquired the waveform data.

[0037] Examples of the "operating conditions of the compressor 2 when the waveform data was acquired" include the average value of the operating conditions for a predetermined period of time and the operating conditions at a predetermined time. An example of the predetermined period is a time period during which the acquiring unit 111 acquired the waveform data. An example of the predetermined time is a specific time during the time period during which the acquiring unit 111 acquired the waveform data, or the time at which the acquiring unit 111 acquired the waveform data.

[0038] When the waveform data selected by the first screening unit 112 is data that includes time, examples of the time include a time that is the same as a time that includes "the time of waveform data acquisition", a time that is different from the time that includes "the time of waveform data acquisition", etc. When the waveform data selected by the first screening unit 112 is data that includes time, examples of the time include a time that is the same as "the time of waveform data acquisition", a time that is different from "the time of waveform data acquisition", etc.

[0039] In addition, when calculating feature quantities using sequential estimation such as a Kalman filter, current feature quantities are calculated from previously calculated feature quantities and waveform data from a predetermined period A. In this case, the current feature quantity is also influenced by waveform data from a period prior to the predetermined period A, with the influence of waveform data from a period close to the predetermined period A being greater and the influence of waveform data from a period far from the predetermined period A being relatively smaller. For the above reasons, when calculating feature quantities using sequential estimation, the time of waveform data acquisition is defined as the time period from a predetermined time before the feature quantity calculation time to the feature quantity calculation time. For example, the predetermined time is 5 minutes.

[0040] The state where "the operating conditions of compressor 2 are within a predetermined range" means that the operating conditions are within a steady state. Alternatively, the state where "the operating conditions of compressor 2 are within a predetermined range" means that the operating conditions are within a preset range of operating conditions. The predetermined range refers to the range in which the operating state of compressor 2 is within a steady state, or the preset range of operating conditions.

[0041] The predetermined range is written in an EEPROM or flash memory and can be changed externally. For example, a service engineer or administrator rewrites the predetermined range during on-site maintenance or remotely. The predetermined range may be changed based on operating conditions accumulated through the operation of one or more users over a certain period of time. For example, the predetermined range may be changed based on an operating condition that appears more frequently than a certain frequency among the operating conditions accumulated through the operation of one or more users over a certain period of time. For example, when the rotation speed is divided into increments of 5 rps, the range of the rotation speed with the highest frequency of appearance is determined. The predetermined range is changed to the determined range of rotation speeds. By changing the predetermined range in this way, it is possible to avoid the risk that the operating conditions do not fall within the predetermined range, making it difficult to obtain waveform data for feature calculation.

[0042] An example of how to set the "preset operating condition range" is described below. Assume that the feature quantity is a current frequency component that correlates with the magnitude of torque pulsation generated during the compression process of compressor 2. In this case, the "preset operating condition range" is set to a low rotation speed range. Specifically, the "preset operating condition range" is set to a rotation speed range of 50% or less of the maximum rotation speed of compressor 2. This is because, as wear of the components constituting the compression mechanism of compressor 2 increases, the frequency component of the torque of compressor 2 that is N times the rotation speed changes, and because the transfer characteristics from the torque to the current of compressor 2 attenuate more at higher frequencies due to the influence of inertia. By setting the "preset operating condition range" to a rotation speed range of 50% or less of the maximum rotation speed of compressor 2, it is possible to focus on low-frequency components with little attenuation. This results in a larger change in the feature quantity when wear occurs, making it suitable for observing the state of wear.

[0043] The steady state of the compressor 2 will be described in detail below.

[0044] (2-1-2-1) Steady state of the rotation speed of the motor 22 The rotation speed of the motor is detected by a sensor or estimated sensorlessly. The steady state of the rotation speed of the motor 22 is, for example, a state in which the difference between the rotation speed command value and the actual rotation speed value is within a predetermined difference. For example, the predetermined difference is 0.1 rps. The steady state of the rotation speed of the motor 22 may also be a state in which the difference between the current value and the previous value of the actual rotation speed value is within a predetermined difference. For example, the previous value is the actual rotation speed value acquired one second before the current value, and the predetermined difference is 0.1 rps.

[0045] Note that a rotation speed command value may be used instead of the above-mentioned rotation speed actual measurement value. For example, the steady state of the rotation speed of the motor 22 may be a state in which the difference between the current rotation speed command value and the previous rotation speed command value is within a predetermined difference.

[0046] Alternatively, the steady state of the rotation speed of motor 22 may be a state in which neither the acceleration flag nor the deceleration flag for the rotation speed held in control device 11 is set. When increasing the rotation speed of motor 22, control device 11 may set the acceleration flag for the rotation speed held in control device 11, and when not increasing the rotation speed of motor 22, may clear the acceleration flag. Furthermore, when decreasing the rotation speed of motor 22, control device 11 may set the deceleration flag for the rotation speed held in control device 11, and when not increasing the deceleration flag, may clear the deceleration flag.

[0047] (2-1-2-2) Steady state of pressure of refrigerant discharged from compressor 2 A discharge pressure sensor attached to the discharge pipe of the compressor detects the pressure of the refrigerant discharged from the compressor 2. The steady state of the pressure of the refrigerant discharged from the compressor 2 is, for example, a state in which the difference between the current value and the previous value of the pressure of the refrigerant discharged from the compressor 2 is within a predetermined difference. For example, the previous value is the pressure of the refrigerant discharged from the compressor 2 acquired one second before the current value, and the predetermined difference is 0.1 MPa.

[0048] Alternatively, the steady state of the pressure of the refrigerant discharged from the compressor 2 may be a state in which the difference between the current value and the previous value of the saturation temperature of the refrigerant discharged from the compressor 2 is within a predetermined difference. Hereinafter, the saturation temperature of the refrigerant discharged from the compressor 2 will be referred to as the "discharge saturation temperature." For example, the previous value is the discharge saturation temperature of the compressor 2 acquired one second before the current value, and the predetermined difference is 0.1°C.

[0049] Alternatively, the steady state of the pressure of the refrigerant discharged from the compressor 2 may be a state in which the difference between the "moving average value of the pressure of the refrigerant discharged from the compressor 2 within a first hour" and the "moving average value of the pressure of the refrigerant discharged from the compressor 2 within a second hour" is within a predetermined difference. The second hour is shorter than the first hour. For example, the moving average value within the first hour is a moving average value over a 3-minute period, and the moving average value within the second hour is a moving average value over a 10-second period, and the predetermined difference is 1°C.

[0050] (2-1-2-3) Steady state of pressure of refrigerant sucked into compressor 2 The pressure of the refrigerant being drawn into the compressor 2 is detected by a suction pressure sensor attached to the suction pipe of the compressor. The steady state of the pressure of the refrigerant being drawn into the compressor 2 may be a state in which the difference between the current value and the previous value of the saturation temperature of the refrigerant being drawn into the compressor 2 is within a predetermined difference. Hereinafter, the saturation temperature of the refrigerant being drawn into the compressor 2 will be referred to as the "suction saturation temperature." For example, the previous value is the suction saturation temperature of the compressor 2 acquired one second before the current value, and the predetermined difference is 0.1°C.

[0051] Alternatively, the steady state of the pressure of the refrigerant sucked into the compressor 2 may be a state in which the difference between the "moving average value of the pressure of the refrigerant sucked into the compressor 2 within a first time period" and the "moving average value of the pressure of the refrigerant sucked into the compressor 2 within a second time period" is within a predetermined difference. The second time period is shorter than the first time period. For example, the moving average value within the first time period is a moving average value over a 3-minute period, and the moving average value within the second time period is a moving average value over a 10-second period, and the predetermined difference is 1°C.

[0052] (2-1-2-4) Steady state of the temperature of the refrigerant discharged from compressor 2 A temperature sensor attached around the discharge port of the compressor detects the temperature of the refrigerant discharged from the compressor 2. The steady state of the temperature of the refrigerant discharged from the compressor 2 is, for example, a state in which the difference between the current value and the previous value of the temperature of the refrigerant discharged from the compressor 2 is within a predetermined difference. For example, the previous value is the value acquired one second before the current value, and 0.1°C is used as the predetermined difference.

[0053] Alternatively, the steady state of the temperature of the refrigerant discharged from the compressor 2 may be a state in which the difference between the "moving average value of the temperature of the refrigerant discharged from the compressor 2 within a first hour" and the "moving average value of the temperature of the refrigerant discharged from the compressor 2 within a second hour" is within a predetermined difference. The second hour is shorter than the first hour. For example, a 3-minute moving average value is used as the moving average value within the first hour, a 10-second moving average value is used as the moving average value within the second hour, and 1°C is used as the predetermined difference.

[0054] (2-1-2-5) Steady state of the temperature of the refrigerant sucked into compressor 2 The temperature of the refrigerant drawn into the compressor 2 is detected by a temperature sensor attached around the suction port of the compressor. The steady state of the temperature of the refrigerant drawn into the compressor 2 is, for example, a state in which the difference between the current value and the previous value of the temperature of the refrigerant drawn into the compressor 2 is within a predetermined difference. For example, the previous value is the temperature of the refrigerant drawn into the compressor 2 acquired one second before the current value. Furthermore, the predetermined difference is 0.1°C.

[0055] Alternatively, the steady state of the temperature of the refrigerant drawn into the compressor 2 may be a state in which the difference between the "moving average value of the temperature of the refrigerant drawn into the compressor 2 within a first hour" and the "moving average value of the temperature of the refrigerant drawn into the compressor 2 within a second hour" is within a predetermined difference. The second hour is shorter than the first hour. For example, a 3-minute moving average value may be used as the moving average value within the first hour, a 10-second moving average value may be used as the moving average value within the second hour, and 1°C may be used as the predetermined difference.

[0056] (2-1-2-6) Steady state of DC voltage generated by DC generator 211 The steady state of the DC voltage generated by the DC generating unit 211 is, for example, a state in which the absolute value of the AC component extracted from the instantaneous waveform of the DC voltage generated by the DC generating unit 211 is calculated and the instantaneous value is equal to or less than a threshold. The threshold is set to, for example, a value obtained by calculating the average value of the absolute value of the AC component extracted from the instantaneous waveform of the DC voltage generated by the DC generating unit 211 and multiplying the calculated average value by a predetermined coefficient. If the DC voltage is non-steady, the waveform will be disturbed and the feature amount will be affected. However, in this case, waveform data in which the DC voltage is steady and has little disturbance can be selected, and therefore, feature amounts that can be used for highly accurate deterioration diagnosis can be calculated and output from the waveform data.

[0057] (2-1-2-7) Steady state of frequency components of torque and rotation speed of compressor 2 An example of the "frequency component of the rotation speed of the torque of the compressor 2" is the first-order mechanical angle component (unit: ampere) of the current vector amplitude. The current vector amplitude is a value expressed as the square root of the sum of the squares of the three phase currents input to the compressor 2.

[0058] An example of a steady state of the frequency component of the rotational speed of the torque of the compressor 2 is a state in which the first-order mechanical angle component of the current vector amplitude is within a specific range. Examples of the specific range include the range of the first-order mechanical angle component of the current vector amplitude in a state in which no oil shortage occurs, and the range of the first-order mechanical angle component of the current vector amplitude in a state in which no liquid compression occurs.

[0059] Figure 4 is a graph showing the relationship between VF and T before and after oil shortage occurs. VF is the first-order mechanical angle component of the current vector amplitude. T is time. Time T1 is the time when oil shortage occurs. Before oil shortage occurs, the value of VF is VF1. When oil shortage occurs, the value of VF changes to VF2. If the steady state is defined as a state in which the first-order mechanical angle component of the current vector amplitude is within a specific range (a range near VF1), when oil shortage occurs, the first-order mechanical angle component of the current vector amplitude falls outside the specific range, resulting in an unsteady state.

[0060] Figure 5 is a graph showing the relationship between VF and T before and after liquid compression occurs. Time T2 is the time when liquid compression occurs. Before liquid compression occurs, the value of VF is VF3. When liquid compression occurs, the value of VF changes. If a steady state is defined as a state in which the first-order mechanical angle component of the current vector amplitude is within a specific range (a range near VF3), when liquid compression occurs, the first-order mechanical angle component of the current vector amplitude falls outside the specific range, resulting in an unsteady state.

[0061] Therefore, when the frequency component of the rotation speed of the torque of the compressor 2 is in a steady state, the first sorting unit 112 can sort waveform data when there is no oil shortage or liquid compression. When there is oil shortage or liquid compression, the waveform becomes distorted and the feature values ​​are affected, but here, waveform data with little disturbance when there is no oil shortage or liquid compression is sorted, and from that waveform data, feature values ​​that can be used to diagnose deterioration with high accuracy can be found and output.

[0062] (2-1-3) Calculation unit 113 The calculation unit 113 calculates a feature quantity correlated with deterioration of the compressor 2 from the waveform data selected by the first selection unit 112. The "function of calculating a feature quantity correlated with deterioration of the compressor 2 from the waveform data obtained from the compressor 2" is referred to as the calculation function. The calculation unit 113 realizes the calculation function. Examples of methods by which the calculation unit 113 calculates the feature quantity include Fourier transform, Fourier series expansion, and Kalman filter.

[0063] The feature quantity is the magnitude of a frequency component that is N or N / M times the rotation speed of the motor 22, or a value other than a frequency component. N and M are integers. M is greater than N. Specific examples of the feature quantity (the magnitude of a frequency component) include the third-order component of the phase current electrical angle, the first-order component of the mechanical angle of the current vector amplitude, and the fractional frequency component of the current vector amplitude. Specific examples of the feature quantity (values ​​other than frequency components) include the zeroth-order component of the current vector amplitude and the effective value of the phase current. The effective value of the phase current is the square root of the average value (the value obtained by integrating the instantaneous value of the phase current over one period and dividing by the period) of the squared value. Note that the feature quantity may also be the magnitude of the frequency component of sound, vibration, voltage, or power. The feature quantity is information correlated with deterioration. Examples of deterioration include insulation deterioration and wear. The correlation between each feature quantity and deterioration of the compressor 2 will be described below.

[0064] (2-1-3-1) Correlation between insulation deterioration and feature quantities FIG. 6 is a graph showing the relationship between the degree of deterioration and the third-order component of the phase current electrical angle when the insulation of the windings of the motor 22 deteriorates and a short circuit occurs. D is the degree of deterioration (the proportion of the number of short-circuited turns in the windings of the motor 22, in units of percent). PT is the third-order component of the phase current electrical angle (in units of amperes). The greater the degree of deterioration, the more advanced the deterioration. D and PT show a positive correlation. There is a correlation between the deterioration (insulation deterioration) of the compressor 2 and the feature quantity (third-order component of the phase current electrical angle).

[0065] (2-1-3-2) Correlation between wear and features When wear occurs in the compressor 2, the degree of deterioration of the compressor 2 increases. When wear occurs in the compressor 2, the waveform of the compression torque changes, and the current waveform and vibration waveform also change. For example, the second, third, or subharmonic of the rotational frequency component of the vibration waveform changes. For this reason, wear in the compressor 2 can be detected from the vibration waveform and current waveform. Below, we will explain an example of the change in current when wear occurs.

[0066] Figure 7 is a graph showing V0 in the case of wear. V is the current vector amplitude (unit: amperes, omitted below). f is the frequency (unit: hertz, omitted below). V0 is the zeroth component of the current vector amplitude. The solid line S shows the relationship between V and f in the case of wear. The dotted line W shows the relationship between V and f in a normal state. V0S, the zeroth component of the current vector amplitude in the case of wear, increases more than V0W, the zeroth component of the current vector amplitude in a normal state. There is a correlation between the deterioration (wear) of the compressor 2 and the characteristic quantity (zeroth component of the current vector amplitude).

[0067] FIG. 8 is a graph showing VF (first-order component of mechanical angle of current vector amplitude) when worn. VFS, which is the first-order component of mechanical angle of current vector amplitude when worn, is lower than VFW, which is the first-order component of mechanical angle of current vector amplitude in a normal state. There is a correlation between the deterioration (wear) of the compressor 2 and the characteristic quantity (first-order component of mechanical angle of current vector amplitude).

[0068] FIG. 9 is a graph showing Vfr when there is wear. Vfr is the fractional frequency component of the current vector amplitude. When there is wear, Vfr increases. There is a correlation between the deterioration (wear) of the compressor 2 and the characteristic quantity (fractional frequency component of the current vector amplitude).

[0069] (2-1-4) Time information generation unit 114 When the calculation unit 113 calculates the feature amount, the time information generation unit 114 generates time information. The time information generation unit 114 may generate the time information at regular intervals. Here, the time information is information indicating the cumulative operating time of the compressor 2. The time information may be information indicating the time when the calculation unit 113 calculated the feature amount, and information indicating the cumulative order and recording period in which the recording unit 115 recorded the feature amount, etc. The time information generation unit 114 realizes the time information generation function.

[0070] (2-1-5) Recording unit 115 The recording unit 115 links the feature calculated by the calculation unit 113 and the time information generated by the time information generation unit 114 to the compressor individual information stored in the storage device 12. Then, the recording unit 115 records the linked feature, time information, and compressor individual information in the storage device 12.

[0071] Examples of the compressor individual information include unique identification information of the compressor 2, and information indicating the model and model number of the machine in which the compressor 2 is installed. The compressor individual information is stored in the storage device 12 in advance.

[0072] The recording unit 115 associates the feature amount with the time information every hour and records them in the storage device 12. Note that the recording unit 115 may also associate the feature amount with the time information and record them in the storage device 12 for each preset recording cycle.

[0073] (2-2) Terminal 13 The detailed configuration of the terminal 13 will be described. Fig. 10 is a configuration diagram of the terminal 13. Fig. 10 shows various functions realized by the control and arithmetic device. The terminal 13 has a receiving unit 131, a degradation information generating unit 132, and an output unit 133.

[0074] (2-2-1) Reception Section 131 The reception unit 131 receives an output instruction input by a user of the terminal 13. The output instruction is an instruction to output deterioration information. The deterioration information is information in which feature amounts, time information, actual service information, and compressor individual information are linked together. The deterioration information includes feature amounts that correlate with deterioration, and therefore can also be said to be information that correlates with deterioration.

[0075] The actual service information is information that links information about the timing of compressor 2 failures, such as error code history and maintenance history, with property information and compressor individual information. Examples of property information include information indicating the name of the property, property ID, property address, user name, email address, etc. The actual service information is recorded in an external storage device (not shown) by a service engineer, for example, when the service engineer performs maintenance (service) on the compressor 2.

[0076] The receiving unit 131 may receive an output instruction from an external component that transmits an output instruction to the receiving unit 131 when the feature amount exceeds a predetermined value. An example of the predetermined value is a value set in advance by a service engineer.

[0077] (2-2-2) Deterioration information generation unit 132 The degradation information generation unit 132 generates degradation information when the reception unit 131 receives an output instruction. The degradation information generation unit 132 realizes a degradation information generation function. Specific processing by which the degradation information generation unit 132 generates degradation information will be described below.

[0078] The degradation information generation unit 132 acquires information in which feature amounts, time information, and compressor individual information are linked from the storage device 12. The degradation information generation unit 132 acquires actual service information including the compressor individual information from an external storage device based on the compressor individual information acquired from the storage device 12. The degradation information generation unit 132 links the information in which feature amounts, time information, and compressor individual information are linked, acquired from the storage device 12, with the actual service information acquired from the external storage device. In this way, the degradation information generation unit 132 generates degradation information.

[0079] (2-2-3) Output unit 133 When the receiving unit 131 receives an output instruction, the output unit 133 outputs the degradation information generated by the degradation information generating unit 132. Examples of output include display on a display device, notification by a speaker, printing by a printer, and email delivery. The output unit 133 realizes an output function.

[0080] (2-3) As described above, in the control device 11, the first sorting unit 112 sorts out waveform data for which the operating conditions of the compressor 2 at the time the waveform data was acquired fall within a predetermined range. Then, the calculation unit 113 calculates a feature quantity correlated with deterioration of the compressor 2 from the waveform data sorted out by the first sorting unit 112. In addition, the output unit 133 outputs deterioration information including the feature quantity calculated by the calculation unit 113. In other words, the first sorting unit 112, the calculation unit 113, and the output unit 133 "output a feature quantity for which the operating conditions of the compressor 2 at the time the waveform data was acquired fall within a predetermined range." The function of acquiring a feature quantity for which the operating conditions of the compressor 2 at the time the waveform data was acquired fall within a predetermined range is referred to as a sorting function. The first sorting unit 112, the calculation unit 113, and the output unit 133 realize the sorting function.

[0081] (3) Operation The following describes the operation of the degraded information system 1. FIG.

[0082] The acquiring unit 111 acquires operating conditions and waveform data from the compressor 2 (step S1). The first selecting unit 112 selects waveform data in which the operating conditions of the compressor 2 at the time of acquiring the waveform data fall within a predetermined range (step S2).

[0083] The calculation unit 113 calculates a feature quantity correlated with the deterioration of the compressor 2 from the waveform data selected in step S2 (step S3). The time information generation unit 114 generates time information (step S4).

[0084] The recording unit 115 links the feature calculated in step S3 and the time information generated in step S4 with the compressor individual information stored in the storage device 12, and records them in the storage device 12 (step S5). The storage device 12 stores the feature, time information, and compressor individual information in a linked manner.

[0085] The storage device 12 and the terminal 13 are connected by an operation of the user of the terminal 13. Thereafter, the user of the terminal 13 inputs an output instruction to the terminal 13. The receiving unit 131 receives the output instruction from the user of the terminal 13 (step S6).

[0086] The degradation information generating unit 132 generates degradation information from information in which the feature amount, time information, and compressor individual information are linked together, and actual service information acquired from an external storage device (step S7).

[0087] The output unit 133 outputs the degradation information generated by the degradation information generation unit 132 (step S8).

[0088] (4) Features (4-1) The deterioration information system 1 is a deterioration information system 1 that calculates information correlated with deterioration of the compressor 2 and includes a control unit. The control unit has a calculation function that calculates feature amounts correlated with deterioration of the compressor 2 from waveform data obtained from the compressor 2, and a selection function that outputs feature amounts for which the operating conditions of the compressor 2 at the time the waveform data was obtained fall within a predetermined range.

[0089] The control unit of the deterioration information system 1 has a calculation function for calculating a feature quantity correlated with deterioration of the compressor 2 and a selection function for outputting a feature quantity for which the operating conditions of the compressor 2 fall within a predetermined range. Therefore, the deterioration information system 1 can output a feature quantity suitable for diagnosing deterioration of the compressor 2.

[0090] It is also possible to calculate and output feature values ​​correlated with compressor deterioration regardless of whether the operating conditions are within a specified range. These feature values ​​are significantly affected not only by compressor deterioration but also by operating conditions. To accurately diagnose compressor deterioration using these feature values, it is necessary to correct for the effects of operating conditions. The accuracy of the correction formula is a trade-off between the amount of data and the amount of data required, and obtaining a highly accurate correction formula requires acquiring a large amount of data. If the amount of data is small, the accuracy of the correction formula may be reduced due to correction errors. Even if the equipment has a test mode (a function for creating operating conditions for data collection) and the feature values ​​calculated from the waveform data acquired in that test mode are enhanced, unnecessary operation in the test mode can, for example, interfere with the comfort and energy efficiency of the air conditioning system.

[0091] Therefore, compared to a case where a feature correlated with deterioration is output regardless of whether the operating conditions fall within a predetermined range, the deterioration information system 1 outputs a feature suitable for diagnosing deterioration with high accuracy.

[0092] A user of the deterioration information system 1 can collect multiple feature quantities (e.g., multiple feature quantities of the same type) from each of multiple compressors 2. The multiple compressors 2 are, for example, compressors that have been in operation for a certain period of time (e.g., 10 or 12 years). The feature quantities from the multiple compressors 2 vary depending on various variables. Considering that the feature quantities correlate with deterioration, a user of the deterioration information system 1 can set a threshold for the feature quantities using the average value and standard deviation of the multiple feature quantities. For example, a user of the deterioration information system 1 can set a threshold for the feature quantity by adding the average value of the multiple feature quantities and the standard deviation of the multiple feature quantities multiplied by 6. If the feature quantity is equal to or greater than the threshold, a user of the deterioration information system 1 can estimate that "the compressor 2 is likely to fail."

[0093] (4-2) In the deterioration information system 1, the waveform data is current waveform data that indicates the waveform of the current of the motor 22 of the compressor 2. The feature amount is the magnitude of the frequency component that is N times or N / M times the rotation speed of the motor 22. N and M are integers. M is greater than N.

[0094] It is known that when a compressor deteriorates, certain frequency components (such as N / M times frequency components) can change significantly. The deterioration information system 1 outputs feature quantities that can change significantly due to the deterioration of the compressor 2. Therefore, a user of the deterioration information system 1 can more easily diagnose the deterioration based on the output feature quantities.

[0095] (4-3) In the deterioration information system 1, the compressor 2 has a motor 22 driven by a motor drive device 21. The motor drive device 21 has a DC generator 211 and a converter 212. The DC generator 211 generates a DC voltage according to a power supply voltage supplied from an external power supply. The converter 212 converts the DC voltage generated by the DC generator 211 into an AC voltage through a switching operation and supplies the AC voltage to the motor 22. The operating conditions are at least one of the rotation speed of the motor 22 of the compressor 2, the pressure of the refrigerant discharged from the compressor 2, the pressure of the refrigerant drawn into the compressor 2, the temperature of the refrigerant discharged from the compressor 2, the temperature of the refrigerant drawn into the compressor 2, the frequency component of the rotation speed of the torque of the compressor 2, and the DC voltage. The predetermined range is the range of operating conditions when the operating state of the compressor 2 is steady.

[0096] For example, if the feature quantity is the frequency component of the current of the compressor 2, it is a feature quantity that can accurately diagnose deterioration, but it is easily affected by inertia. If the rotation speed of the compressor 2 changes significantly due to the influence of inertia, the feature quantity, which is the frequency component of the current, also changes significantly. Furthermore, if the pressure or temperature changes, the waveform of the load torque changes, and the feature quantity, which is the frequency component of the current, also changes significantly. Therefore, it becomes difficult to determine deterioration with a feature quantity that is significantly affected by inertia. In consideration of this, the deterioration information system 1 minimizes the influence of inertia by limiting the operating state to steady states, so as to output a suitable feature quantity that can accurately determine deterioration.

[0097] (4-4) The deterioration information system 1 uses, as the operating conditions, at least one of the rotation speed of the motor 22 of the compressor 2, the pressure of the refrigerant discharged from the compressor 2, the pressure of the refrigerant drawn into the compressor 2, the temperature of the refrigerant discharged from the compressor 2, and the temperature of the refrigerant drawn into the compressor 2. The predetermined range is a range of operating conditions that is set in advance.

[0098] The deterioration information system 1 outputs a feature value when the operating conditions of the compressor 2 are within a preset range. Because changes in the feature value due to differences in operating conditions can be suppressed, the deterioration information system 1 outputs a feature value that allows for highly accurate deterioration diagnosis.

[0099] (4-5) The predetermined range of the degradation information system 1 can be changed externally. Therefore, the degradation information system 1 can later adjust the predetermined range to operating conditions with a high occurrence rate based on data collected over a certain period of time. Furthermore, the degradation information system 1 can change the predetermined range to one in which degradation is more easily visible, and can output feature quantities that make degradation more easily visible.

[0100] (4-6) The program is a program for causing a calculation function and a selection function to be executed by the computer of the control device 11, which calculates information correlated with deterioration of the compressor 2. The calculation function is a function for calculating a feature quantity correlated with deterioration of the compressor 2 from waveform data obtained from the compressor 2. The selection function is a function for outputting a feature quantity for which the operating conditions of the compressor 2 at the time the waveform data was obtained fall within a predetermined range.

[0101] The program executes a calculation function that calculates a feature quantity correlated with deterioration of the compressor 2 and a selection function that outputs a feature quantity that falls within a predetermined range of the operating conditions of the compressor 2. Therefore, the program outputs a feature quantity for diagnosing deterioration.

[0102] (4-7) The waveform data related to the program is current waveform data that indicates the waveform of the current of the motor 22 of the compressor 2. The feature amount is the magnitude of the frequency component that is N times or N / M times the rotation speed of the motor 22. N and M are integers. M is greater than N.

[0103] The program outputs characteristic quantities that may change significantly due to deterioration of the compressor 2. Therefore, a person who executes the program can more easily diagnose deterioration based on the output characteristic quantities.

[0104] (4-8) The compressor 2 has a motor 22 driven by a motor drive device 21. The motor drive device 21 has a DC generator 211 and a converter 212. The DC generator 211 generates a DC voltage according to a power supply voltage supplied from an external power supply. The converter 212 converts the DC voltage generated by the DC generator 211 into an AC voltage by switching operation and supplies the AC voltage to the motor 22. The operating conditions are at least one of the rotation speed of the motor 22 of the compressor 2, the pressure of the refrigerant discharged from the compressor 2, the pressure of the refrigerant drawn into the compressor 2, the temperature of the refrigerant discharged from the compressor 2, the temperature of the refrigerant drawn into the compressor 2, the frequency component of the rotation speed of the torque of the compressor 2, and the DC voltage. The predetermined range is a range of operating conditions when the operating state of the compressor 2 is steady.

[0105] For example, if the feature quantity is a frequency component, the value of the feature quantity can change significantly when the rotation speed changes due to the influence of inertia. Also, changes in pressure and temperature can change the load torque waveform, which can change the feature quantity significantly. By limiting the program to cases where the operating state is steady, it can output feature quantities that can accurately determine deterioration.

[0106] (4-9) The operating conditions set by the program are at least one of the rotation speed of the motor 22 of the compressor 2, the pressure of the refrigerant discharged from the compressor 2, the pressure of the refrigerant drawn into the compressor 2, the temperature of the refrigerant discharged from the compressor 2, and the temperature of the refrigerant drawn into the compressor 2. The predetermined range is a range of operating conditions that is set in advance.

[0107] The program outputs the feature amount when the operating conditions of the compressor 2 are within a preset range. Because changes in the feature amount due to differences in operating conditions can be suppressed, the program outputs the feature amount that allows for highly accurate deterioration diagnosis.

[0108] (4-10) The predetermined range for the program can be changed externally. Therefore, the program can be later adjusted to operating conditions that occur frequently based on data collected over a certain period of time. In addition, the program can be changed to a predetermined range that makes deterioration more visible, and can output feature values ​​that make deterioration more visible.

[0109] (4-11) The problems with the conventional technology related to the degraded information system 1 and program according to this embodiment will be explained in a different way from the above explanation.

[0110] It has long been known that the effective value of the motor current changes when the pressure of the refrigerant drawn from the compressor changes. Taking advantage of this, it is conceivable to monitor the steady state of the effective value of the motor current instead of the steady state of the pressure of the refrigerant drawn from the compressor. However, the change in the effective value of the motor current is small compared to the change in the current frequency component, which is a characteristic parameter caused by changes in the pressure of the refrigerant drawn from the compressor. As an example, consider a case where the characteristic parameter is the motor rotation frequency component of the current vector amplitude. When the compressor wears, the motor rotation frequency component of the current vector amplitude decreases by about 20% compared to normal. Under conditions of a discharge saturation temperature of 45°C, a rotation speed of 70 rps, and R410A refrigerant, a change in the suction saturation temperature from 5°C to 10°C results in a 19% change in the motor rotation frequency component of the current vector amplitude. This change is similar to the change associated with wear. However, the change in the effective value of the motor current is only about 0.5%, making it difficult to detect. From the above, it is not possible to output a feature quantity suitable for diagnosing deterioration of a compressor by using a method of selecting a current frequency component when the effective value of the motor current is in a steady state.

[0111] The same is true for the pressure of the refrigerant discharged from the compressor; the method of selecting the current frequency component when the effective value of the motor current is in a steady state cannot output a suitable feature for diagnosing compressor deterioration.

[0112] Furthermore, as the motor rotation speed changes, the effective value of the motor current also changes. Taking advantage of this, it is possible to monitor the steady state of the effective value of the motor current instead of the steady state of the motor rotation speed. However, the change in the effective value of the motor current is small compared to the change in the current frequency component, which is a feature parameter that occurs with changes in the motor rotation speed. As an example, consider a case where the feature parameter is the motor rotation frequency component of the current vector amplitude. When compressor wear occurs, the motor rotation frequency component of the current vector amplitude decreases by approximately 20% compared to normal. Under conditions of a discharge saturation temperature of 45°C, a suction saturation temperature of 5°C, and R410A refrigerant, if the motor rotation speed changes from 45 rps to 49 rps, the magnitude of the change in the motor rotation frequency component of the current vector amplitude is approximately 29%, which is greater than the change due to compressor wear. However, the change in the effective value of the motor current at this time is approximately 0.4%, making it difficult to detect. Therefore, selecting the current frequency component when the effective value of the motor current is steady cannot output a feature parameter suitable for diagnosing compressor deterioration.

[0113] (5) Variations (5-1) Variation 1A (5-1-1) Configuration The control device 11 may have a second sorting unit 116 instead of the first sorting unit 112. Fig. 12 is a configuration diagram of the control device 11 of the modification 1A.

[0114] The calculation unit 113 calculates a feature quantity correlated with deterioration of the compressor 2 from the waveform data acquired by the acquisition unit 111. The second selection unit 116 selects, from the feature quantities calculated by the calculation unit 113, feature quantities for which the operating conditions of the compressor 2 at the time the waveform data was acquired fall within a predetermined range. The recording unit 115 links the feature quantity selected by the second selection unit 116, the time information generated by the time information generation unit 114, and the compressor individual information stored in the storage device 12, and records them in the storage device 12. In the case of Modification 1A, the second selection unit 116 and the output unit 133 realize the selection function.

[0115] (5-1-2) Operation The operation of the degraded information system 1 according to the modification 1A will be described below. Fig. 13 is a flowchart showing the operation of the degraded information system 1 according to the modification 1A.

[0116] The acquisition unit 111 acquires the operating conditions and waveform data from the compressor 2 (step S11).

[0117] The calculation unit 113 calculates a feature quantity correlated with the deterioration of the compressor 2 from the waveform data acquired in step S11 (step S12).

[0118] The second selection unit 116 selects, from the feature amounts calculated in step S12, feature amounts for which the operating conditions of the compressor 2 at the time of acquiring the waveform data fall within a predetermined range (step S13). The time information generation unit 114 generates time information (step S14).

[0119] The recording unit 115 associates the feature amount selected in step S13 and the time information generated in step S14 with the compressor individual information stored in the storage device 12, and records them in the storage device 12 (step S15). The feature amount, time information, and compressor individual information are stored in association with each other in the storage device 12.

[0120] The storage device 12 and the terminal 13 are connected by wire or wirelessly through an operation by the user of the terminal 13. Thereafter, the user of the terminal 13 inputs an output instruction to the terminal 13. The receiving unit 131 receives the output instruction from the user of the terminal 13 (step S16).

[0121] The degradation information generating unit 132 generates degradation information from the information in which the feature amount, time information, and compressor individual information are linked together, and the actual service information acquired from the external storage device (step S17).

[0122] The output unit 133 outputs the degradation information generated by the degradation information generation unit 132 (step S18).

[0123] (5-2) Variation 1B (5-2-1) Configuration Instead of the control device 11 having the first screening unit 112, the terminal 13 may have the third screening unit 134.

[0124] (5-2-1-1) Control device 11 14 is a configuration diagram of the control device 11 according to Modification 1B. The calculation unit 113 calculates a feature amount correlated with deterioration of the compressor 2 from the waveform data acquired by the acquisition unit 111. The recording unit 115 links the operating conditions of the compressor 2 at the time of acquiring the waveform data, the feature amount calculated by the calculation unit 113, the time information generated by the time information generation unit 114, and the compressor individual information stored in the storage device 12, and records them in the storage device 12.

[0125] (5-2-1-2) Terminal 13 15 is a configuration diagram of the terminal 13 according to Modification 1B. When the receiving unit 131 receives an output instruction, the third sorting unit 134 selects, from the information stored in the storage device 12, information in which feature amounts, time information, and compressor individual unit information are linked, and in which the operating conditions of the compressor 2 at the time of waveform data acquisition fall within a predetermined range. The degradation information generating unit 132 generates degradation information using the information in which the feature amounts, time information, and compressor individual unit information selected by the third sorting unit 134 are linked, and actual service information acquired from an external storage device. In the case of Modification 1B, the output unit 133 and the third sorting unit 134 realize the sorting function.

[0126] (5-2-2) Operation The operation of the degraded information system 1 according to the modification 1B will be described below. Fig. 16 is a flowchart showing the operation of the degraded information system 1 according to the modification 1B.

[0127] The acquisition unit 111 acquires the operating conditions and waveform data from the compressor 2 (step S21).

[0128] The calculation unit 113 calculates a feature quantity correlated with the deterioration of the compressor 2 from the waveform data acquired in step S21 (step S22). The time information generation unit 114 generates time information (step S23).

[0129] The recording unit 115 links the operating conditions of the compressor 2 when the waveform data was acquired in step S21, the feature calculated in step S22, the time information generated in step S23, and the compressor individual information stored in the memory device 12, and records them in the memory device 12 (step S24).

[0130] The storage device 12 and the terminal 13 are connected by wire or wirelessly through an operation by the user of the terminal 13. Thereafter, the user of the terminal 13 inputs an output instruction to the terminal 13. The receiving unit 131 receives the output instruction from the user of the terminal 13 (step S25).

[0131] The third selection unit 134 selects information from the information stored in the memory device 12 that is linked to features, time information, and compressor individual information, where the operating conditions of the compressor 2 at the time the waveform data was acquired fall within a predetermined range (step S26).

[0132] The degradation information generation unit 132 generates degradation information using information linking the features, time information, and compressor individual information selected by the third selection unit 134, and actual service information acquired from an external storage device (step S27).

[0133] The output unit 133 outputs the degradation information generated in step S27 (step S28).

[0134] (5-3) Variation 1C The terminal 13 may further include a correction unit 135. Fig. 17 is a configuration diagram of the terminal 13 according to Modification 1C.

[0135] When the receiving unit 131 receives an output instruction, the correction unit 135 calculates a representative value of the feature from among the information in which the feature, time information, and compressor individual information stored in the storage device 12 are linked. Examples of the representative value include the average value of the feature over a predetermined time period and the median value of the feature. For example, the average value of the feature over a 24-hour period is used as the representative value.

[0136] When calculating the representative value of the feature, the correction unit 135 calculates a correction value for the feature. For example, by substituting the operating conditions at the time of acquiring the waveform data stored in the storage device 12 into an approximation formula for calculating the feature from the operating conditions, a correction feature can be calculated. By dividing the feature stored in the storage device by this correction feature, differences in operating conditions can be corrected. The narrower the approximation range of the approximation formula, the higher the accuracy, even for a simple approximation such as a linear approximation. Therefore, compared to when the feature is not selected, the variation in the feature due to differences in operating conditions can be reduced.

[0137] The correction unit 135 again associates the obtained representative value with the time information and the compressor individual information, and sends them to the degradation information generation unit 132.

[0138] The degradation information generation unit 132 generates degradation information using information linking the representative value, time information, and compressor individual information sent from the correction unit 135, and actual service information acquired from an external storage device.

[0139] The deterioration information system 1 suppresses the influence of variations in the feature amounts due to deviations in operating conditions, and outputs representative values ​​of the feature amounts that enable deterioration of the compressor 2 to be determined with high accuracy.

[0140] (5-4) Variation 1D The control device 11 and the storage device 12 are connected to the compressor 2 within the property where the control device 11 and the storage device 12 are installed, and do not need to be connected to a network outside the property. In this case, the feature amount is output by a service engineer who visits the property.

[0141] (5-5) Variation 1E The control device 11 and the storage device 12 may be located outside or inside the refrigeration cycle device that houses the compressor 2. For example, when the compressor 2 is mounted in a heat source unit of an air conditioner or a hot water supply system, a microcomputer and an EEPROM in a control box built into the heat source unit may be used as the control device 11 and the storage device 12.

[0142] Second Embodiment (1) Composition The configuration of the degraded information system 3 according to the second embodiment will be described. Fig. 18 is a schematic configuration diagram showing the degraded information system 3. The degraded information system 3 does not include a terminal 13, but includes a plurality of control devices 31 (31A to 31D) and a server 32.

[0143] The control device 31 and the server 32 constitute a control unit. The number of control devices 31 included in the degraded information system 3 is not limited to the number shown in FIG.

[0144] (1-1) Control device 31 19 is a configuration diagram of the control device 31. Each control device 31 includes an acquisition unit 311, a first sorting unit 312, a calculation unit 313, a time information generation unit 314, and a recording unit 315. Each control device 31 is connected to the server 32 by wire or wirelessly. Each control device 31 is connected to the compressor 2 (2A to 2D) by wire or wirelessly. The acquisition unit 311 is the same as the acquisition unit 111. The first sorting unit 312 is the same as the first sorting unit 112. The calculation unit 313 is the same as the calculation unit 113. The time information generation unit 314 is the same as the time information generation unit 114.

[0145] The recording unit 315 records, every hour, information in which the feature quantities selected by the first selection unit 312, the time information generated by the time information generation unit 314, and the compressor individual information are linked to each other in the server 32.

[0146] (1-2) Server 32 The server 32 stores information linking the feature amounts, time information, and compressor individual information. The information stored by the server 32 is information recorded by the recording unit 315 of each control device 31. In other words, the server 32 is a storage device that stores the feature amounts of multiple compressors 2. The server 32 realizes a storage function.

[0147] The server 32 realizes the same functions as the reception unit 131, the degradation information generation unit 132, and the output unit 133. The first selection unit 312, the calculation unit 313, and the server 32 realize a selection function.

[0148] (1-3) Hardware configuration Each control device 31 and server 32 is realized by a computer. Each control device 31 and server 32 includes a control arithmetic device and a storage device. A processor such as a CPU or GPU can be used for the control arithmetic device. The control arithmetic device reads a program stored in the storage device and performs predetermined image processing and arithmetic processing in accordance with the program. Furthermore, the control arithmetic device can write the results of calculations to the storage device and read information stored in the storage device in accordance with the program.

[0149] (2) Operation The following describes the operation of the degraded information system 3. FIG.

[0150] The acquisition unit 311 of each control device 31 acquires the operating conditions and waveform data from the compressor 2 (step S31). The first selection unit 312 of each control device 31 selects waveform data in which the operating conditions of the compressor 2 at the time of waveform data acquisition fall within a predetermined range (step S32).

[0151] The calculation unit 313 of each control device 31 calculates a feature correlated with deterioration of the compressor 2 from the waveform data selected in step S32 (step S33). The time information generation unit 314 of each control device 31 generates time information (step S34).

[0152] The recording unit 315 of each control device 31 associates the feature calculated in step S33 with the time information and compressor individual information generated in step S34 and records them in the server 32 (step S35). The server 32 stores the feature, time information, and compressor individual information in an associated manner.

[0153] The user of the server 32 inputs an output instruction to the server 32. The server 32 accepts the output instruction from the user (step S36).

[0154] The degradation information generating unit 132 generates degradation information from the information in which the feature amount, time information, and compressor individual information are linked together, and the actual service information acquired from the external storage device (step S37).

[0155] The server 32 outputs the deterioration information generated in step S37 for one or more compressors 2 requested by the user (step S38).

[0156] (3) Features (3-1) The degradation information system 3 further includes a storage device that stores the feature quantities of the plurality of compressors 2.

[0157] One advantage of collecting and storing the feature amounts of multiple compressors 2 in the server 32 is that it makes it easier to diagnose deterioration of the compressors 2. If information on many compressors 2 is collected in the server 32, it becomes possible to compare that information with information on the compressor 2 that is the target of the deterioration diagnosis and perform a highly accurate diagnosis.

[0158] Another advantage is that it is possible to determine whether the feature values ​​of the compressor 2 that is the target of the deterioration diagnosis correspond to deterioration by using the feature values ​​of another compressor 2 that meets similar conditions to the compressor 2 that is the target of the deterioration diagnosis. Another compressor 2 that meets similar conditions is, for example, another compressor 2 that has been in operation for the same number of years. If the feature values ​​of the compressor 2 that is the target of the deterioration diagnosis deviate from the feature values ​​of many other compressors 2 that have been in operation for the same number of years, it can be diagnosed that the compressor 2 is highly likely to be deteriorated.

[0159] (3-2) The program further executes a storage function of storing in the storage device the characteristic quantities of the plurality of compressors 2. Since the program outputs the characteristic quantities from the plurality of compressors 2, it is used for more accurate deterioration diagnosis.

[0160] (4) Variation 2A (4-1) Configuration (4-1-1) Control device Each control device 31 may further include a selection unit 316 and a storage device 317. Fig. 21 is a configuration diagram of the control device 31 of Modification 2A.

[0161] The first selection unit 312 has a first selection function, and selects, every second, waveform data for which the operating conditions of the compressor 2 at the time of acquiring the waveform data fall within a predetermined range.

[0162] The recording unit 315 associates the operating conditions acquired by the acquisition unit 111, the feature amounts calculated by the calculation unit 313, and the time information generated by the time information generation unit 314, and records them in the storage device 317. Furthermore, the recording unit 315 associates the feature amounts with the time information among the information in which the operating conditions, feature amounts, and time information are associated and selected by the selection unit 316 (described later), and records the information in the server 32.

[0163] The selection unit 316 has a second selection function, and every hour, selects information in which operating conditions, feature amounts, and time information are linked, including an operating condition that is closest to a preset operating condition, from information in which operating conditions, feature amounts, and time information are linked and that has been recorded in the storage device 317 within the most recent hour. The "operating condition that is closest to a preset operating condition" refers to an operating condition that is the smallest difference from the preset operating condition.

[0164] Instead of selecting information every hour, the selection unit 316 may employ a selection method in which the feature is overwritten each time a feature that is closer to the specified operating conditions is found, and the feature is output every hour to reset the feature.

[0165] The storage device 317 stores information in which the operating conditions, the feature amounts, the time information, and the compressor individual information are linked together. Examples of the storage device 317 include an HDD and an SSD.

[0166] (4-1-2) Server 32 The server 32 stores information linking the feature amounts, time information, and compressor individual information. The information stored in the server 32 is information recorded by the recording unit 315 of each control device 31. In other words, the feature amounts stored in the server 32 are feature amounts selected based on the operating conditions of the compressor 2 when the waveform data used in the calculation by the calculation unit 313 was acquired.

[0167] (4-2) Operation The operation of the degraded information system 3 of the modified example 2A will be described below. Fig. 22 is a flowchart showing the operation of the degraded information system 3 of the modified example 2A.

[0168] The acquisition unit 311 of each control device 31 acquires the operating conditions and waveform data from each compressor 2 every second (step S41).

[0169] The calculation unit 313 of each control device 31 calculates a feature quantity correlated with the deterioration of each compressor 2 from the waveform data acquired in step S41 (step S42).

[0170] The time information generating unit 314 of each control device 31 generates time information (step S43).

[0171] The recording unit 315 of each control device 31 links the operating conditions acquired in step S41 with the feature values ​​calculated in step S42 and the time information generated in step S43, and records them in the storage device 317 (step S44).

[0172] Using the second sorting function, the selection unit 316 selects (sorts) information linked to operating conditions, features, time information, and compressor individual information that includes operating conditions closest to the preset operating conditions from the information linked to operating conditions, features, time information, and compressor individual information that has been recorded in the storage device 317 within the last hour (step S45).

[0173] The recording unit 315 associates the feature amount, time information, and compressor individual information from the information selected by the selection unit 316 and records them in the server 32 (step S46).

[0174] The user of the server 32 inputs an output instruction to the server 32. The server 32 accepts the output instruction from the user of the server 32 (step S47).

[0175] The server 32 generates degradation information based on information linked to the features, time information, and compressor individual information stored in the server 32, and actual service information acquired from an external storage device (step S48).

[0176] The server 32 outputs the degradation information generated in step S48 (step S49).

[0177] (4-3) Features (4-3-1) In the degradation information system 3, the storage device is the server 32 or the cloud. The feature amounts stored in the storage device are feature amounts selected based on the operating conditions of the compressor when the waveform data used in the calculation was acquired.

[0178] The selected feature quantities are stored in a storage device, which may be the server 32 or the cloud. The feature quantities stored in the storage device (uploaded to the server 32 or the cloud) are feature quantities calculated under conditions similar to the operating conditions of the specified equipment. Because the feature quantities are selected before being uploaded to the server 32 or the cloud, the degradation information system 3 can collect feature quantities that increase the accuracy of degradation diagnosis at upload intervals that reduce communication costs.

[0179] (4-3-2) Similarly, the program can collect features that increase the accuracy of degradation diagnosis at upload intervals that reduce communication costs.

[0180] Third Embodiment (1) Composition The following describes the configuration of the degraded information system 4 according to the third embodiment. Fig. 23 is a schematic configuration diagram showing the degraded information system 4. The degraded information system 4 includes a plurality of control devices 41 (41A to 41D), a cloud 42, and a terminal 43.

[0181] The terminal 43 is the same as the terminal 13. The degraded information system 4 may include a server instead of the cloud 42. The number of control devices 41 and terminals 43 included in the degraded information system 3 is not limited to the numbers shown in FIG.

[0182] (1-1) Control device 41 24 is a configuration diagram of the control device 41. Each control device 41 includes an acquisition unit 411, a first sorting unit 412, a calculation unit 413, a time information generation unit 414, and a recording unit 415. Each control device 41 is connected to the cloud 42 by wire or wirelessly. Each control device 41 is connected to the compressor 2 (2A to 2D) by wire or wirelessly. The acquisition unit 411 is the same as the acquisition unit 111. The first sorting unit 412 is the same as the first sorting unit 112. The calculation unit 413 is the same as the calculation unit 113. The time information generation unit 414 is the same as the time information generation unit 114.

[0183] The recording unit 415 associates the feature amount calculated by the calculation unit 413, the time information acquired by the acquisition unit 411, and the compressor individual unit information, and records them in the cloud 42.

[0184] The recording unit 415 associates the feature amount with the time information every hour and records them in the cloud 42. Note that the recording unit 415 may also associate the feature amount with the time information and the compressor individual information every preset recording period and record them in the cloud 42.

[0185] (1-2) Cloud 42 The cloud 42 stores the feature amount, time information, and compressor individual information recorded by the recording unit 415 of each control device 41.

[0186] (1-3) Hardware configuration Each control device 41, cloud 42, and terminal 43 is realized by a computer. Each control device 41, cloud 42, and terminal 43 includes a control and arithmetic device and a storage device. A processor such as a CPU or GPU can be used for the control and arithmetic device. The control and arithmetic device reads a program stored in the storage device and performs predetermined image processing and arithmetic processing according to the program. Furthermore, the control and arithmetic device can write the calculation results to the storage device and read information stored in the storage device according to the program.

[0187] (2) Operation The following describes the operation of the degraded information system 4. FIG.

[0188] The acquisition unit 411 of each control device 41 acquires the operating conditions and waveform data from each compressor 2 (step S61).

[0189] The first selection unit 412 of each control device 41 selects waveform data in which the operating conditions of each compressor 2 at the time of acquiring the waveform data fall within a predetermined range (step S62).

[0190] The calculation unit 413 of each control device 41 calculates a feature quantity correlated with the deterioration of each compressor 2 from the waveform data selected in step S62 (step S63).

[0191] The time information generating unit 414 of each control device 41 generates time information (step S64).

[0192] The recording unit 415 of each control device 41 associates the feature amount calculated in step S63 with the time information generated in step S64 and the compressor individual information, and records them in the cloud 42 (step S65).

[0193] The cloud 42 and the terminal 43 are connected by wire or wirelessly by an operation of the user of the terminal 43. After that, the user of the terminal 43 inputs an output instruction to the terminal 43. The receiving unit 431 receives the output instruction from the user of the terminal 43 (step S66).

[0194] The deterioration information generation unit 432 of the terminal 43 generates deterioration information using information linking the feature amount, time information, and compressor individual information, and actual service information acquired from an external storage device (step S67).

[0195] The output unit 433 of the terminal 43 outputs the degradation information (step S68).

[0196] 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.

[0197] (Appendix 1) A deterioration information system that calculates information correlated with compressor deterioration, comprising a control unit, the control unit realizing a calculation function that calculates feature quantities correlated with compressor deterioration from waveform data obtained from the compressor, a selection function that selects feature quantities whose operating conditions of the compressor at the time the waveform data was obtained fall within a predetermined range, an actual service information acquisition function that acquires actual service information indicating whether the compressor is malfunctioning, a deterioration information generation function that links at least the feature quantities with the actual service information to generate deterioration information, and an output function that outputs the deterioration information.

[0198] A user of the degradation information system according to Supplementary Note 1 can collect degradation information output from the degradation information system. The degradation information includes feature quantities when the operating conditions fall within a predetermined range and actual service information.

[0199] After accumulating many compressor feature quantities and actual service information, a user of the degradation information system can obtain the distribution of feature quantities when a compressor malfunction occurs. Then, by using this distribution of feature quantities to evaluate the feature quantities of the compressor being diagnosed for deterioration, the user of the degradation information system can accurately estimate the possibility of compressor malfunction. For example, a threshold value for the feature quantities (e.g., a value obtained by multiplying the value of the feature quantity in the case of an actual malfunction by 0.8) is set in advance based on the feature quantities when the compressor malfunctions. Then, when the feature quantity is equal to or greater than the threshold value, the user of the degradation information system can estimate that "the compressor is highly likely to malfunction."

[0200] In addition, a user of the deterioration information system can grasp the feature quantity from which factors (operating conditions) that may lower the correlation coefficient of the feature quantity to deterioration have been eliminated.

[0201] (Appendix 2) a time information generating function for generating time information indicating a cumulative operation time of the compressor; To further realize this, The degradation information system according to claim 1, wherein the degradation information generation function is a function that links at least the feature, the actual service information, and the time information to generate the degradation information.

[0202] By accumulating the degradation information, users of the degradation information system can grasp the degradation information over time. For example, users of the degradation information system can predict future time-series changes in feature quantities from past time-series changes in feature quantities. Alternatively, by using the actual service information contained in the degradation information, users can calculate the average value of feature quantities one year prior to the compressor failure timing and set this as the threshold value for the feature quantity. This allows for proactive measures to be taken against failures.

[0203] (Appendix 3) The degradation information system according to claim 1 or 2, wherein the degradation information generation function is a function of linking the feature amount, the time information, compressor individual information indicating unique identification information of the compressor, and the actual service information to generate the degradation information.

[0204] A person using the deterioration information system can estimate that "there is a high possibility of compressor failure" through the following process. The deterioration information system makes it easier for the person using the deterioration information system to diagnose deterioration and can improve the accuracy of the deterioration diagnosis.

[0205] The deterioration state of a compressor varies depending on the environment in which it is installed. In other words, the characteristic quantities associated with the compressor may also change depending on the environment in which the compressor is installed. The deterioration information system generates and outputs deterioration information that also includes information about individual compressors. Therefore, a user of the deterioration information system can grasp the time-series changes for each individual compressor, allowing them to make judgments based on the deterioration state of each compressor. [Explanation of symbols]

[0206] 1. Deteriorating Information Systems 2 Compressor 3. Deteriorating Information Systems 11 Control device 21 Motor drive unit 22 Motor 32 Storage device 211 DC generation section 212 Conversion Unit [Prior art documents] [Patent documents]

[0207] [Patent Document 1] Japanese Patent Publication No. 2022-101344

Claims

1. A deterioration information system (1) that calculates information correlated with deterioration of a compressor (2), A control unit is provided, The compressor has a motor driven by a motor drive device (21), The motor drive device a DC generating unit (211) that generates a DC voltage in response to a power supply voltage supplied from an external power supply; a conversion unit (212) that converts the DC voltage generated by the DC generation unit into an AC voltage by a switching operation and supplies the AC voltage to the motor; and The control unit a calculation function for calculating a feature quantity correlated with deterioration of the compressor from waveform data obtained from the compressor; a selection function for outputting the feature quantity when the operating conditions of the compressor at the time of acquiring the waveform data fall within a predetermined range; and The operating conditions are: the pressure of the refrigerant discharged from the compressor; the pressure of the refrigerant drawn into the compressor; the temperature of the refrigerant discharged from the compressor; and the temperature of the refrigerant drawn into the compressor; At least one of The predetermined range is a range of the operating conditions when the operating state of the compressor is in a steady state. Deteriorating information systems.

2. A deterioration information system (1) that calculates information correlated with deterioration of a compressor (2), A control unit is provided, The control unit a calculation function for calculating a feature quantity correlated with deterioration of the compressor from waveform data obtained from the compressor; a selection function for outputting the feature quantity when the operating conditions of the compressor at the time of acquiring the waveform data fall within a predetermined range; and The operating conditions are: the pressure of the refrigerant discharged from the compressor; the pressure of the refrigerant drawn into the compressor; the temperature of the refrigerant discharged from the compressor; and the temperature of the refrigerant drawn into the compressor; At least one of The predetermined range is a range of the operating conditions that is set in advance. Deteriorating information systems.

3. a storage device for storing the characteristic quantities of the plurality of compressors, A degradation information system (3) according to claim 1 or 2.

4. The storage device is a server (32) or a cloud; the feature values ​​stored in the storage device are feature values ​​selected based on the operating conditions of the compressor when the waveform data used in the calculation was acquired. The degradation information system according to claim 3 .

5. The waveform data is current waveform data indicating a waveform of a current of a motor (22) of the compressor, the characteristic amount is the magnitude of a frequency component that is N times or N / M times the rotation speed of the motor, The N and the M are integers, said M being greater than said N; The degradation information system according to claim 1 or 2.

6. The predetermined range can be changed externally. The degradation information system according to claim 1 or 2.

7. A computer of a control device (11) that calculates information correlated with deterioration of a compressor (2) a calculation function for calculating a feature quantity correlated with deterioration of the compressor from waveform data obtained from the compressor; a selection function for outputting the feature quantity when the operating conditions of the compressor at the time of acquiring the waveform data fall within a predetermined range; A program for executing The compressor has a motor driven by a motor drive device (21), The motor drive device a DC generating unit (211) that generates a DC voltage in response to a power supply voltage supplied from an external power supply; a conversion unit (212) that converts the DC voltage generated by the DC generation unit into an AC voltage by a switching operation and supplies the AC voltage to the motor; and The operating conditions are: the pressure of the refrigerant discharged from the compressor; the pressure of the refrigerant drawn into the compressor; the temperature of the refrigerant discharged from the compressor; and the temperature of the refrigerant drawn into the compressor; At least one of The predetermined range is a range of the operating conditions when the operating state of the compressor is in a steady state. program.

8. A computer of a control device (11) that calculates information correlated with deterioration of a compressor (2) a calculation function for calculating a feature quantity correlated with deterioration of the compressor from waveform data obtained from the compressor; a selection function for outputting the feature quantity when the operating conditions of the compressor at the time of acquiring the waveform data fall within a predetermined range; A program for executing The operating conditions are: the pressure of the refrigerant discharged from the compressor; the pressure of the refrigerant drawn into the compressor; the temperature of the refrigerant discharged from the compressor; and the temperature of the refrigerant drawn into the compressor; At least one of The predetermined range is a range of the operating conditions that is set in advance. program.

9. and further executing a storage function of storing the characteristic quantities of the plurality of compressors in a storage device. The program according to claim 7 or 8.

10. The storage device is a server (32) or a cloud; the feature values ​​stored in the storage device are feature values ​​selected based on the operating conditions of the compressor when the waveform data used in the calculation was acquired. The program according to claim 9.

11. The waveform data is current waveform data indicating a waveform of a current of a motor (22) of the compressor, the characteristic amount is the magnitude of a frequency component that is N times or N / M times the rotation speed of the motor, The N and the M are integers, said M being greater than said N; The program according to claim 7 or 8.

12. The predetermined range can be changed externally. The program according to claim 7 or 8.

13. A deterioration information system (1) that calculates information correlated with deterioration of a compressor (2), A control unit is provided, The control unit a calculation function for calculating a feature quantity correlated with deterioration of the compressor from waveform data obtained from the compressor; a selection function for outputting the feature quantity when the operating conditions of the compressor at the time of acquiring the waveform data fall within a predetermined range; and The sorting function is a first selection function for selecting the waveform data in which the operating conditions of the compressor fall within a predetermined range; a second selecting function that selects, from the feature quantities calculated by the calculating function from the waveform data selected by the first selecting function, the feature quantity that is closest to a preset operating condition of the compressor, Deteriorating information systems.

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