Refrigeration and Heating Equipment Diagnostic System

Abstract

To diagnose normality of a main function of a cold apparatus by using a simple method.SOLUTION: A diagnostic device 200 is configured to: calculate an input energy amount to be input to a compressor 112 on the basis of operation information obtained from a refrigerator body 100 including the compressor 112 that is driven in accordance with an input energy amount calculated by performing time integration of rotational frequency of the compressor 112 and a heat absorber 111 that controls a temperature of an internal space 102 by using the compressor 112; calculate change amount information that is information on a change amount of the input energy amount relative to the lapse of time; and diagnose normality of the refrigerator body 100 on the basis of the change amount information.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to the technology of a cooling and heating equipment diagnosis system.

Background Art

[0002] As general-purpose equipment for cooling or heating food, water, clothes, etc., refrigerators, heat pump water heaters, washing and drying machines, etc. are known. These devices have the function of controlling the cooling or heating to a predetermined temperature and providing a predetermined amount of heat, and play an essential role everywhere, such as maintaining food and hygiene. Therefore, when a failure occurs or a sign of failure is confirmed, prompt repair is required.

[0003] As a technology for solving such problems, in the prior literature 1, an air conditioner is disclosed that "by comprehensively grasping the operating state of the refrigeration cycle, the failure location is estimated from the displacement from the ideal value. According to the present invention, the failure location can be efficiently specified during repair" (see the abstract).

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] According to the method described in Patent Document 1, it is possible to detect the normality (degree of abnormality) and the abnormal location based on the operating principle of the device, so a physically reasonable diagnosis can be provided.

[0006] On the other hand, with conventional technology, the relationship between the magnitude of the abnormality and the severity of the impact on the main function of the equipment is ambiguous. For example, the main function of a refrigerator is to cool the contents to a predetermined temperature, but because it is difficult to determine the correspondence between the degree of abnormality determined by conventional methods and the severity of the deterioration in cooling function, it is difficult to judge the normality of the diagnostic results. [Means for solving the problem]

[0007] To solve the aforementioned problems, the present invention provides a calculation device that calculates the amount of energy input to the drive source based on operational information obtained from a cooling and heating equipment comprising a drive source that operates according to the amount of energy input, and a temperature control device that controls the temperature of a temperature-controlled space using the drive source, calculates change amount information which is information on the amount of change in the amount of energy input over time, and diagnoses the normality of the cooling and heating equipment based on the change amount information. The change amount information is the difference between the maximum amount of input energy and the input energy, and the calculation device diagnoses the normality by using the difference as the severity level, and outputs the severity level to the output device. It is characterized by the following: Other solutions will be described as appropriate in the embodiments. [Brief explanation of the drawing]

[0008] [Figure 1] This is a diagram showing the configuration of the refrigeration equipment system in the first embodiment. [Figure 2] This diagram shows the diagnostic period using a diagnostic device. [Figure 3] This figure shows the change in the amount of energy input over time. [Figure 4] This figure shows an example of a diagnostic results display screen shown on a display device. [Figure 5] This figure shows an example of the configuration of a refrigeration equipment system in the second embodiment. [Figure 6] This figure shows the time-dependent changes in the amount of energy input and the internal temperature of a refrigerator. [Figure 7] This flowchart shows the procedure of processing performed by the diagnostic device in the second embodiment. [Figure 8] This figure shows an example of a diagnostic results display screen shown on the terminal device screen in the second embodiment. [Figure 9]It is a diagram showing the configuration of the refrigeration equipment system in the third embodiment. [Figure 10] It is a diagram showing the procedure of the usage state determination process performed in the third embodiment. [Figure 11] It is a diagram showing an example of the diagnosis result display screen displayed on the terminal device in the third embodiment. [Figure 12] It is a diagram showing the configuration of the refrigeration equipment system in the fourth embodiment. [Figure 13] It is a diagram showing the time change of the input energy amount in the refrigeration equipment system. [Figure 14] It is a diagram showing the configuration of the refrigeration equipment system in the fifth embodiment. [Figure 15] It is a diagram showing the relationship between the input energy amount of the washing and drying machine and the mass of the clothes (clothes mass) put into the washing tub of the washing and drying machine. [Figure 16] It is a diagram showing the time change of the degree of deviation. [Embodiments for Carrying Out the Invention]

[0009] Next, embodiments for carrying out the present invention (referred to as "embodiments") will be described in detail with reference to the drawings as appropriate.

[0010] [First Embodiment] First, the first embodiment of the present invention will be described with reference to FIGS. 1 to 4. [Configuration of Refrigeration Equipment System Z] FIG. 1 is a diagram showing the configuration of the refrigeration equipment system Z in the first embodiment. In the first embodiment, a refrigeration equipment system Z for diagnosing the normality of a refrigerator (diagnosis of normality) is shown. The refrigeration equipment system Z has a refrigerator main body (refrigeration equipment, cooling device) 100B and a diagnostic device (refrigeration equipment diagnosis system) 200. The diagnostic device 200 may be built into the refrigerator main body 100B or installed as a separate device from the refrigerator main body 100B.

[0011] [Refrigerator Main Body 100B] The interior space (temperature control space, cold storage space) 102 of the refrigerator body 100B and the outside of the refrigerator are separated by a heat insulation box body filled with foamed heat insulation material. The refrigerator body 100B is equipped with a heat absorption device 111, a compressor 112, a heat dissipation device 113, and an expansion device 114 that constitute a refrigeration cycle. In addition, the refrigerator body 100B is equipped with a blower fan 104. Furthermore, the refrigerator body 100B is equipped with a display device (output device) 101.

[0012] In the refrigeration cycle, a refrigerant (heat transfer medium) circulates through a flow path in which the heat absorption device (temperature control device) 111, the compressor 112, the heat dissipation device 113, and the expansion device 114 are annularly connected to form a refrigeration cycle. The heat absorption device 111 is a heat exchanger that absorbs the heat of the interior space 102, and specifically, it is composed of an evaporator. The compressor (drive source) 112 that is driven according to the input energy amount compresses the refrigerant vapor evaporated by the heat absorption device 111. The input energy amount will be described later. The heat dissipation device 113 cools the refrigerant vapor compressed by the compressor 112 with cooling water or air (controls the temperature of the interior space 102) to dissipate the heat possessed by the refrigerant vapor. At this time, the refrigerant vapor liquefies into a refrigerant liquid. The heat dissipation device 113 is specifically composed of a condenser. The expansion device 114 expands the refrigerant liquid discharged from the heat dissipation device 113 to make the refrigerant vapor into a low-pressure and low-temperature refrigerant liquid and send it to the heat absorption device 111.

[0013] The blower fan 104 blows the cold air generated by the heat absorption device 111 into the interior space 102 (controls the temperature of the interior space 102 by the compressor 112). In addition, it is provided in the interior space 102 and has a door 103 that can be opened and closed.

[0014] The display device 101 displays the diagnosis result and the like by the diagnostic device 200. As shown in FIG. 1, the display device 101 is preferably installed on the door 103 of the refrigerator body 100B, but it may also be installed on the side surface or the like of the refrigerator body 100B.

[0015] (Diagnostic device 200) The diagnostic device 200 is equipped with an arithmetic device 210, a storage device 220, and a control device 230. The arithmetic unit 210 consists of a CPU (Central Processing Unit), etc., and executes the processing performed by the diagnostic device 200. The storage device 220 consists of an HD (Hard Disk) and RAM (Random Access Memory), and stores programs and information necessary for calculating the amount of energy input obtained from the refrigeration equipment (refrigerator body 100B). The amount of energy input will be described later, but the information necessary for calculating the amount of energy input includes the rotational speed of the compressor 112. The control device 230 controls the compressor 112 of the refrigerator body 100B and displays information on the display device 101 provided in the refrigerator body 100B, based on instructions from the arithmetic unit 210 and information stored in the storage device 220. The control device 230 also acquires information (operational information) such as the rotational speed of the compressor 112.

[0016] (Diagnostic period) Figure 2 shows the diagnostic period 303 by the diagnostic device 200. Refer to Figure 1 as appropriate. In Figure 2, the horizontal axis represents time, reference numeral 301 indicates the rotational speed of the compressor 112, and reference numeral 302 indicates the opening of the refrigerator body 100B. As shown in Figure 2, the diagnostic period 303 by the diagnostic device 200 is performed during a period when the door (reference numeral 302) of the refrigerator body 100B is not opened. Specifically, it is preferable to perform the diagnostic during times when the user of the refrigerator 100 is not using the refrigerator body 100B, such as late at night. Thus, the normality diagnosis is performed when the internal space 102 is closed (or remains closed). Alternatively, if the door of the refrigerator body 100B is opened during the diagnostic process, the diagnostic process may be stopped, and if the door of the refrigerator body 100B is closed, the diagnostic process may be restarted from the beginning. Incidentally, the diagnostic period is about 1 to 2 hours, but is not limited to this time (it is preferable that the internal space 102 remains closed during the diagnostic period).

[0017] (Time change in energy input) Figure 3 shows the change in the amount of energy input over time. The input energy is the energy supplied to the refrigerator unit 100B for its main function of temperature control. Specifically, the input energy is the electricity supplied to the refrigerator unit 100B for temperature control. In this embodiment, the time integral of the rotational speed of the compressor 112 is calculated as the input energy. The calculation of the input energy is performed at predetermined intervals (for example, every day).

[0018] Here, the diagnostic device 200 calculates the difference 312 (change) in the amount of energy input relative to a predetermined reference line as change information, which is information about the change in the amount of energy input over time. The diagnostic device 200 estimates the severity of the abnormality of the refrigerator unit 100B based on this difference 312. Possible reference lines include, for example, the normal line 314 calculated based on the amount of energy input during the period when the refrigerator unit 100B is operating normally, or the maximum output 315 based on the rated output, etc. In the example shown in Figure 3, the difference 312 between the normal line 314 and the amount of energy input is shown, but by using the difference 316 between the maximum output 315 and the amount of energy input as the severity, the severity can be determined by how much margin there is up to the maximum output 315. In this way, the diagnostic device 200 diagnoses the normality of the refrigerator unit 100B based on information regarding the maximum amount of energy that can be input and the amount of energy input. By using the difference between the maximum output of 315 and the input energy amount (316) as the severity level, the margin of safety relative to the maximum output of 315 can be clearly indicated, making it easy to understand the severity of the problem.

[0019] Furthermore, as shown in Figure 2, the cumulative amount of energy input during the period when the door 103 is closed, i.e., when the internal space 102 is closed (the time integral of the rotational speed of the compressor 112), is used. This prevents the influence of outside air, i.e., noise, from being added to the amount of energy input.

[0020] Furthermore, the diagnostic device 200 estimates the urgency based on the magnitude of the slope 311, which is change information representing the amount of change in the input energy over time. In other words, if the slope 311 is large, it is expected that the time until the measured input energy reaches the maximum output (information regarding the maximum amount of input energy) 315 will be short, and therefore the urgency is diagnosed as high. The maximum output 315 may be the rated power or the time integral of the maximum rotational speed of the compressor 112. Note that the input energy will not exceed the maximum output 315. Conversely, if the slope 311 is small, it is expected that the time until the input energy reaches the maximum output 315 will be long, and therefore the urgency is diagnosed as low. The slope 311 of the input energy used to diagnose the urgency can be calculated based on the least squares method or the like.

[0021] Note that symbol 313 indicates the latest energy input.

[0022] <Diagnosis Result Display Screen 330> Figure 4 shows an example of the diagnostic result display screen 330 displayed on the display device 101. The diagnostic results display screen 330 displays the attention level based on the diagnosis made by the diagnostic device 200. The attention level is based on the input energy amount in the time change of the measured input energy amount shown in Figure 3, and the difference 312, 316 (see Figure 3: severity) and slope 311 (see Figure 3: urgency: slope of the input energy amount over time) between the normal line 314 and the reference line which is the maximum output 315. For example, the attention level is calculated by a weighted sum of the difference 312 (severity: difference between a predetermined standard and the input energy amount) and the slope 311 (urgency) between the input energy amount and the reference line.

[0023] Furthermore, depending on the user's needs, the attention level may be determined solely by the difference 312 (see Figure 3: severity) between the input energy amount and the reference line, or solely by the slope 311 (see Figure 3: urgency). In other words, the diagnostic result display screen 330 displays information regarding at least one of the following: the slope of the input energy amount over time, and the difference between a predetermined standard and the input energy amount. Note that the example shown in Figure 4 illustrates a case where the attention level is relatively good (a state of low attention).

[0024] According to the first embodiment, abnormalities related to the main functions of a refrigeration device such as the refrigerator body 100B can be diagnosed solely from the amount of energy input. For example, if the insulation function of the refrigerator body 100B is malfunctioning, the refrigerator body 100B will increase the rotational speed of the compressor 112 to lower the temperature of the internal space 102 in order to maintain the temperature of the internal space 102. As a result, the amount of energy input increases. Therefore, there is a proportional relationship between the degree of abnormality of the refrigerator body 100B and the amount of energy input. The diagnostic device 200 determines that there is an abnormality when it detects such an increase in the amount of energy input. In this way, a normality diagnosis (diagnosis of normality) can be performed on the main functions of the refrigerator body 100B, which is a refrigeration device, using simple data based on the amount of energy input (specifically, the time integral of the rotational speed of the compressor 112).

[0025] In addition, according to the first embodiment, a normality diagnosis is performed based on the amount of energy input. Specifically, the amount of energy input is the time integral of the rotational speed of the compressor 112, and an abnormality in the refrigerator body 100B can be recognized as an abnormality in the compressor 112. This allows, for example, a maintenance service technician to explain to the user that the current situation is due to an abnormality in the compressor 112.

[0026] In other words, by diagnosing the normality of the refrigerator unit 100B based on the amount of energy input, it is possible to directly know the status of the provision of its main functions. For example, if the insulation of the refrigerator unit 100B deteriorates, it is necessary to increase the amount of energy input to maintain the temperature inside the unit, and the magnitude of the abnormality and the amount of energy input are proportional. Therefore, because the severity of the main functions of the refrigerator unit 100B can be directly monitored, a highly accurate and explainable diagnosis becomes possible.

[0027] Furthermore, according to the first embodiment, the normality of the refrigerator body 100B can be easily diagnosed based on the amount of energy input. In addition, according to the first embodiment, two things can be diagnosed: the severity of the abnormality of the refrigerator body 100B (refrigeration equipment) based on the difference 312 and 316 of the amount of energy input, and the urgency based on the slope 311 (magnitude) of the amount of energy input.

[0028] Furthermore, in the first embodiment, the refrigeration equipment system Z is applied to the refrigerator body 100B. For devices that maintain a predetermined temperature, such as the refrigerator body 100B, the amount of energy input can be calculated from the rotational speed and operating time of the compressor 112, allowing for accurate diagnosis. In addition, sudden failures can be avoided by notifying the user before a failure occurs. Moreover, the manufacturer can identify refrigerator bodies 100B that are likely to fail and perform repairs or prepare for repairs before a failure occurs. This minimizes the impact on food and daily life.

[0029] [Second Embodiment] Next, a second embodiment of the present invention will be described with reference to Figures 5 to 8. <Configuration of the Za refrigeration and heating system> Figure 5 shows an example of the configuration of the refrigeration equipment system Za in the second embodiment. In Figure 5, components similar to those in Figure 1 are denoted by the same reference numerals and their descriptions are omitted. The refrigeration equipment system Za shown in Figure 5 comprises a refrigerator 100a and a diagnostic device 200a. Furthermore, the refrigerator 100a comprises a refrigerator body 100Ba, a control device 131, and a communication device (transmitter) 132. The following are the differences between the refrigerator unit 100Ba and the refrigerator unit 100B shown in Figure 1. First, the refrigerator unit 100Ba is equipped with an outside temperature sensor 121 for measuring the outside air temperature, and further, the refrigerator unit 100Ba is equipped with an inside temperature sensor 122 in the interior space 102 for measuring the temperature of the interior space 102.

[0030] Furthermore, the refrigerator unit 100Ba is equipped with a control device 131 and a communication device 132. The control device 131 collects temperature information (temperature data) measured by the outside temperature sensor 121 and the inside temperature sensor 122, as well as the rotational speed of the compressor 112, and sends this information to the control device 131 via the communication device 132. Also, the display device 101 that was provided in the refrigerator unit 100B in Figure 1 is not provided in the refrigerator unit 100Ba shown in Figure 5.

[0031] In addition to the functions of the control device 230 shown in Figure 1, the control device 131 acquires temperature information measured by the outside temperature sensor 121 and the internal temperature sensor 122. The control device 131 then transmits the rotational speed of the compressor 112 and the temperature information acquired via the communication device 132 to the diagnostic device 200a.

[0032] Furthermore, the diagnostic device 200a is installed in a different location from the refrigerator 100a (it is a separate device). In addition, the diagnostic device 200a can communicate with the control device 131 of the refrigerator 100a via the communication devices 132 and 241 (receiving devices). In other words, the communication device 132 communicates with the refrigerator 100a.

[0033] The diagnostic device 200a may be a server installed in a company or other organization, creating a so-called cloud environment. As described above, the diagnostic device 200a acquires the rotational speed of the compressor 112 sent from the control device 131 of the refrigerator 100a, and temperature information sent from the outside temperature sensor 121 and the internal temperature sensor 122 via the communication device 132. The diagnostic device 200a then performs a normality diagnosis of the refrigerator body 100Ba based on the acquired rotational speed of the compressor 112 and the temperature information sent from the outside temperature sensor 121 and the internal temperature sensor 122.

[0034] Furthermore, the terminal device T, which also serves as an output device, is a separate device from the diagnostic device 200a and the refrigerator 100a. The diagnostic device 200a can communicate with terminal devices T, such as smartphones, tablet devices, and laptop computers, via the communication device 241. The terminal device T displays the diagnostic results screen 350, which will be shown later in Figure 8. This allows users and maintenance service personnel to view the diagnostic results screen 350, which will be shown later in Figure 8.

[0035] <Time-dependent changes in energy input and internal temperature> Figure 6 shows the time-dependent changes in the amount of energy input and the internal temperature of a refrigerator unit with a temperature of 100 Ba. Refer to Figure 5 as appropriate. In Figure 6, the horizontal axis represents the date. In Figure 6, the assumed performance (external factor) 342 is the amount of input energy calculated in advance based on the ambient temperature (detected value) measured by the ambient temperature sensor 121. The horizontal axis of Figure 6 shows the date, with time point 349a being summer and time point 349b being winter. That is, in summer the ambient temperature is high, so the assumed performance 342 is high, and in winter the ambient temperature is low, so the assumed performance 342 is low.

[0036] The circular plot 346 represents the input energy obtained by integrating the rotational speed of the compressor 112 over time. The maximum output (information regarding the maximum amount of energy that can be input) 341 is the same as the maximum output 315 shown in Figure 3, and may be the rated power or the time integral of the maximum rotational speed of the compressor 112.

[0037] In Figure 6, the graph below the maximum output 341 represents the input energy, while the graph above the maximum output 341 represents the internal temperature. In other words, in Figure 6, the star-shaped plot 347 shows the time change of temperature as measured by the internal temperature sensor 122.

[0038] Furthermore, if the internal temperature exceeds the failure line of 345°C, the refrigerator unit 100Ba will malfunction. When the input energy (circular plot 346) reaches the maximum output 341, the input energy becomes constant at the maximum output 341, as shown in Figure 6. Therefore, as shown in Figure 6, after the input energy reaches the maximum output 341, the severity is diagnosed by the internal temperature (star plot 347). Note that the measurement of the internal temperature may start when the input energy reaches the maximum output 341, or the internal temperature may be measured continuously.

[0039] In the example shown in Figure 6, the difference 343 between the measured input energy and the assumed performance 342 is calculated as the severity level. In other words, the assumed performance 342 is the baseline. After the input energy exceeds the maximum output 341, the severity level may be kept constant at the maximum level, or the difference between the fault line 345 and the internal temperature may be used as the severity level. When the difference between the fault line 345 and the internal temperature is used as the severity level, the smaller the difference between the fault line 345 and the internal temperature, the greater the severity level. Above the maximum output 341, the difference 343a between the internal temperature shown by the star plot 347 and the internal temperature under normal conditions (the x-axis (date axis) in the example shown in Figure 6) is used as the severity level, representing the change in temperature over time obtained by the internal temperature sensor 122 installed in the internal space 102.

[0040] In winter (time 349b), the amount of energy input is expected to decrease, as seen in the assumed performance 342. However, in the example shown in Figure 6, the amount of energy input continues to increase despite it being winter. The internal temperature also continues to rise. From this, the diagnostic device 200a diagnoses that there is an abnormality in the refrigerator body 100Ba. Specifically, an abnormality in the insulation structure is a possible cause. In the example shown in Figure 6, the reason why the amount of energy input and the internal temperature are gradually increasing is likely due to the gradually increasing abnormality in the insulation structure.

[0041] Furthermore, similar to the first embodiment, the diagnostic device 200a uses the input energy amount (circular plot 346) and the slope 344 of the internal temperature (star plot 347) as the urgency level. The slope 344 of the internal temperature is the amount of change in temperature over time obtained by the internal temperature sensor 122.

[0042] As shown in Figure 6, by using not only the input energy amount but also the internal temperature for normality determination, normality diagnosis using the internal temperature can be continued even after the input energy amount exceeds the maximum output of 341. Therefore, the diagnostic range can be expanded.

[0043] As shown in Figure 6, by using information from multiple sensors, such as internal temperature and external temperature (assumed performance 342), a highly accurate normality diagnosis can be achieved.

[0044] Furthermore, the energy input and internal temperature in Figure 5 should be updated at predetermined intervals, such as daily, weekly (one cycle of regularly repeated operation), or during the defrost cycle. In the example shown in Figure 6, the energy input and internal temperature are updated every two weeks. This reduces the processing load on the diagnostic device 200a and the communication costs between the terminal device T and the diagnostic device 200a.

[0045] Furthermore, by performing the processing shown in Figure 7 during off-peak hours such as late at night, it is possible to further reduce the communication load from the diagnostic device 200a to the terminal device T and to further reduce communication costs.

[0046] <Flowchart> Figure 7 is a flowchart showing the procedure performed by the diagnostic device 200a in the second embodiment. Refer to Figure 5 as appropriate. First, the diagnostic device 200a acquires operational information via the control device 131 (S101). The operational information includes the rotational speed of the compressor 112, the operating time, and temperature information from the outside temperature sensor 121 and the internal temperature sensor 122. The operating time refers to the operating time of the compressor 112.

[0047] Next, the diagnostic device 200a calculates the amount of input energy by using the rotational speed and operating time of the compressor 112 from the operating information to calculate the time integral of the rotational speed of the compressor 112 (S111). The diagnostic device 200a then calculates the risk level, as described below, from the input energy amount and the internal temperature, and calculates the difference and slope of the calculated risk level (S112). In Figure 6, the difference 343,343a and slope 344 of the input energy amount and internal temperature are obtained. However, in the flowchart of Figure 7, the difference and slope of the risk level calculated based on the input energy amount and internal temperature are calculated. The difference and slope of the risk level will be described below. However, in step S112, the difference 343,343a and slope 344 of the input energy amount and internal temperature may be obtained as in Figure 6.

[0048] Next, the diagnostic device 200a performs a normality diagnosis (S113) based on the difference and slope of the risk level calculated in step S112. In step S113, the diagnostic device 200a diagnoses the severity using the difference and the urgency using the slope. Furthermore, in the normality diagnosis, if at least one of the severity and urgency is greater than a predetermined value, the diagnostic device 200a diagnoses "abnormal" in step S113.

[0049] If the result of step S113 is diagnosed as normal (S113 → normal), the diagnostic device 200a transmits information to the terminal device T indicating that it is normal (information regarding the normality of the refrigerator unit 100aB). Upon receiving the information indicating that it is normal, the terminal device T outputs the information indicating that it is normal (normality) on the screen of the terminal device T (S114). If step S113 diagnoses an abnormality (S113 → abnormality), the diagnostic device 200a proceeds to step S131. At this time, the diagnostic device 200a transmits abnormality information to the terminal device T. The abnormality information includes information on severity (difference in risk) and urgency (slope 344 in Figure 6).

[0050] Furthermore, the diagnostic device 200a uses temperature information from the operating information to estimate the cause of the abnormality (S121). The estimation of the cause of the abnormality will be described later. Note that the processing in step S121 may be performed after an abnormality has been determined in step S113.

[0051] In step S131, terminal device T outputs the risk level, the history of energy input, the prediction, urgency, and the cause of the anomaly to the screen. The prediction will be described later.

[0052] <Diagnosis Result Display Screen 400> Figure 8 shows an example of a diagnostic result display screen 400 displayed on the screen of the terminal device T in the second embodiment. The diagnostic result display screen 400 shown in Figure 8 is the screen displayed in step S131 of Figure 7. The diagnostic result display screen 400 includes a driving status display unit 410, an urgency level display unit 420, a history display unit 430, an abnormality cause display unit 440, and an abnormality cause candidate display unit 450. The operating status display unit 410 displays the diagnostic result (normal / abnormal: normality) in step S113 of Figure 7. The diagnostic result in the operating status display unit 410 is determined based on the difference 436a of the risk level (solid line graph 433) shown in the history display unit 430.

[0053] The urgency display unit 420 displays the urgency level. As described above, if the slope 436b of the risk level, shown by the solid line graph 433 in the history display unit 430, is greater than or equal to a predetermined value, the urgency level (urgency level related to normality) is displayed as "Urgent" in the urgency display unit 420.

[0054] The history display unit 430 displays the graph shown in Figure 6. However, in the history display unit 430 shown in Figure 8, the reference line 431 is adjusted to show "0" and the danger line 432 is adjusted to show "1".

[0055] In the history display unit 430 in Figure 8, the solid line graph 433 shows the time conversion of the risk level (history of normality). The risk level is the sum of the normalized value of the input energy amount (circular plot 346) and the normalized value of the internal temperature (star plot 347) in Figure 6. A lower risk level indicates that the refrigerator unit 100Ba is functioning normally, so the history display unit 430 shows the diagnostic result regarding normality, and the risk level can be rephrased as normality.

[0056] Normalizing the input energy means normalizing the input energy so that the assumed performance 342 in Figure 6 becomes "0" and the maximum output 341 becomes "1". Such normalization can be easily calculated, for example, by (input energy - assumed performance value) / (maximum output 341 value - assumed performance value).

[0057] Furthermore, normalizing the internal temperature means that the internal temperature is normalized so that when the refrigerator unit 100Ba is operating normally, the internal temperature is "0", and the fault line 345 in Figure 6 is "1". Such normalization can be easily calculated, for example, by (internal temperature - internal temperature when the refrigerator unit 100Ba is operating normally) / (value of fault line 345 - internal temperature when the refrigerator unit 100Ba is operating normally).

[0058] In this way, the normalized input energy amounts and the internal temperature are added together. Then, the sum is further normalized so that the minimum value is "0" and the maximum value is "1," thereby calculating the risk level shown in Figure 8. Thus, the risk level is information about the normalized input energy amount. In step S113 of Figure 7, a normality diagnosis is performed based on the risk level, which is information about the normalized input energy amount.

[0059] In this way, by showing the normalized risk level, the risk level can be evaluated relatively. As mentioned above, the risk level is the sum of the input energy and the internal temperature, but for the sake of simplicity, we will explain the effect of normalizing the input energy. The same applies to the effect of normalizing the internal temperature.

[0060] For example, in Figure 6, in the summer (time 349a), the assumed performance 342 itself is large, so the gap between the assumed performance 342 and the maximum output 341 is narrow. As a result, the input energy amount, and therefore the risk level, is shown as an overall inflated value. In other words, in the summer, because the outside temperature is high, even if the refrigerator unit 100Ba is functioning normally, a high input energy amount is detected, and consequently, a high risk level is also detected. Therefore, it appears as if the risk level is high. In contrast, by performing normalization as shown in Figure 8, the proportion of the input energy amount between the assumed performance 342 and the maximum output 341 shown in Figure 6 is shown, making it possible to evaluate summer and winter on the same level. In this way, the normality diagnosis of the refrigerator unit 100B is performed based on the assumed performance 342, which is an external factor.

[0061] It should be noted that the degree of risk is not limited to those described above. For example, the degree of risk may be simply the time change of the input energy amount (circular plot 346) and the time change of the internal temperature (star plot 347) in Figure 6, connected in a simple manner. That is, the time change of the input energy amount (circular plot 346) and the time change of the internal temperature (star plot 347) in Figure 6 themselves may be shown as the degree of risk in Figure 8 (solid line graph 433). In this case, below the maximum output 341 in Figure 6, the time change of the input energy amount is shown as the degree of risk, and above the maximum output 341 in Figure 6, the time change of the internal temperature is shown as the degree of risk. In such a case, the assumed performance 342 in Figure 6 is normalized to "0" (reference line 431 in Figure 8), and the failure line 345 in Figure 6 is normalized to "1".

[0062] Furthermore, in the history display unit 430 of Figure 8, the dashed line graph 434 shows the predicted risk level (predicted normality), and the symbol 435 shows the current risk level. The predicted risk level shown in the dashed line graph 434 can be calculated by the diagnostic device 200a or terminal device T based on the previous risk level (solid line graph 433). The predicted risk level can be calculated, for example, by machine learning using regression. In addition, the history display unit 430 shows the risk level difference 436a, which indicates the severity, and the slope 436b, which indicates the urgency. Either the risk level difference 436a or the slope 436b may be displayed.

[0063] The urgency level displayed in the urgency display unit 420 in Figure 8 is determined by the diagnostic device 200a, etc., based on the time change of the risk level displayed in the history display unit 430. Specifically, if the predicted time change of the risk level is expected to reach a predetermined value (for example, the risk line 432 in Figure 8) within a predetermined period (for example, within one month), the diagnostic device 200a determines it to be "urgent". In other words, the diagnostic device 200a determines it to be "urgent" if the slope of the risk level 436b is greater than or equal to a predetermined value.

[0064] The abnormal cause candidate display unit 450 displays multiple possible causes of the abnormality. The abnormal cause candidate display unit 450 displays the possible causes of the abnormality in order of likelihood. The abnormal cause display unit 440 then displays the most likely abnormal cause among the abnormal cause candidate displayed in the abnormal cause candidate display unit 450.

[0065] The diagnostic device 200a identifies the cause of the abnormality based on, for example, the history of the internal temperature and the outside temperature (using a sensor). For example, if the internal temperature of the refrigerator compartment is higher than a predetermined temperature, the diagnostic device 200a diagnoses that there is an abnormality in the insulation structure of the refrigerator compartment. Alternatively, an abnormality in a heat exchanger (not shown) for an ice maker (not shown) is diagnosed based on the temperature change of the heat exchanger (not shown) for the ice maker (not shown). The temperature of the heat exchanger (not shown) for the ice maker (not shown) is measured by a temperature sensor (not shown) attached to the heat exchanger (not shown). Alternatively, the cause of the abnormality in the refrigerator 100a may be classified by machine learning from the time change patterns of temperature information from the outside temperature sensor 121 and the internal temperature sensor 122.

[0066] Displaying the cause in this way makes it easier for users and maintenance service technicians to identify the source of the problem.

[0067] In the second embodiment, the diagnostic device 200a can also diagnose the heat balance at loads above the maximum load (maximum output 341 in Figure 6) using the internal temperature sensor 122. In other words, the diagnostic device 200a diagnoses that, in the diagram shown in Figure 6, the cooling capacity is sufficient in terms of heat balance below the maximum output 341 (see Figure 6), and that the cooling capacity is insufficient in terms of heat balance above the maximum output 341.

[0068] As shown in Figure 8, by normalizing the assumed performance 342 in Figure 6 to "0" (the dashed straight line 351 in Figure 8) and the failure line 345 in Figure 6 to "1" (the reference line 431 in Figure 8), it becomes possible to determine the validity of the ambient temperature conditions. For example, in the summer, the ambient temperature is high, so even if the refrigerator unit 100Ba is functioning normally, the risk level increases. However, this prevents the refrigerator unit 100Ba from being judged as having an abnormality under such conditions. By taking ambient temperature (external factors) into account when performing a normality diagnosis, it is possible to diagnose the normality of the refrigerator unit 100Ba in relation to its surrounding conditions (ambient temperature).

[0069] The diagnostic results display screen 400 shown in Figure 8 is displayed on the terminal device T's screen, showing the magnitude of the risk gradient 436b and the risk difference 436a. In this way, the user can immediately recognize the severity at a glance. If there is a persistent abnormality, it means something is gradually breaking down, and if there is no persistence, advice can be given such as checking the opening and closing of the door 103 and any gaps.

[0070] Furthermore, the diagnostic results display screen 400 shown in Figure 8 displays the urgency level display unit 420 and the risk level prediction (dashed line graph 434), allowing the user to easily recognize the severity and urgency of the abnormality.

[0071] In the second embodiment, the diagnostic device 200a is a separate device from the refrigerator 100a. If the functions of the diagnostic device 200a are installed in the refrigerator 100a, costs will be incurred for allocating computing and storage space. As in the second embodiment, by making the diagnostic device 200a a separate device from the refrigerator 100a, these costs can be reduced. In addition, by making the diagnostic device 200a a separate device from the refrigerator 100a, maintenance of the diagnostic device 200a and the refrigerator 100a can be separated. Therefore, the maintainability of the service can be improved.

[0072] Furthermore, in the second embodiment, the diagnostic results are displayed on the terminal device T. This allows users and maintenance service personnel to easily check the diagnostic results.

[0073] Furthermore, the diagnostic result display screen 400 shown in Figure 8 may also display how many days remain until the refrigerator 100a reaches the danger line 432.

[0074] [Third Embodiment] Next, a third embodiment of the present invention will be described with reference to Figures 9 to 11. Figure 9 shows the configuration of the refrigeration equipment system Zb in the third embodiment. In Figure 9, components similar to those in Figure 5 are denoted by the same reference numerals and their descriptions are omitted. Refer to Figure 5 as appropriate. The refrigeration equipment system Zb shown in Figure 9 comprises multiple refrigerators 100a1 to 100a4 (100a) and a diagnostic device 200a. In the refrigeration equipment system Zb, multiple refrigerators 100a1 to 100a4 (100a) are connected to the diagnostic device 200 in a communicative manner. Each of the refrigerators 100a1 to 100a4 has the same configuration as refrigerator 100a shown in Figure 5, so the explanation in Figure 9 is omitted. In the example shown in Figure 9, four refrigerators 100a1 to 100a4 are connected to the diagnostic device 200a in a communicative manner and are therefore the target of diagnosis by the diagnostic device 200a, but the target of diagnosis is not limited to four refrigerators 100a. Also, only one refrigerator 100a may be installed in the refrigeration equipment system Zb. In the third embodiment, the configuration of refrigerators 100a1 to 100a4 will be described by referring to refrigerator 100a shown in Figure 5.

[0075] Furthermore, since the diagnostic device 200a has the same configuration as the diagnostic device 200a shown in Figure 5, the explanation in Figure 9 is omitted. The diagnostic device 200a shown in Figure 9, like the diagnostic device 200a shown in Figure 5, may also be configured as a so-called cloud environment and installed as a server in a company or other organization.

[0076] The diagnostic device 200a receives (acquires) operational information from each of the multiple refrigerators 100a1 to 100a4 via the communication device 132 (see Figure 5) installed in each refrigerator 100a1 to 100a4, including the rotational speed of the compressor 112 (see Figure 5), and temperature information (temperature information) measured by the outside temperature sensor 121 and the inside temperature sensor 122 (see Figure 5 for each).

[0077] Furthermore, the diagnostic device 200a transmits abnormal information to the terminal device (output device) T, similar to the second embodiment. The abnormal information is the same as that described in Figure 7. The terminal device T is also equipped with a camera (imaging device) T1, and the diagnostic device 200a receives images related to the installation status of the refrigerator body 100Ba (see Figure 5) captured by the camera T1 of the terminal device T. In the third embodiment, information regarding the normal state and the usage state, taking into account the usage status of the refrigerator body 100Ba, is output, but below, the usage state will be described in terms of the installation state, which is one form of usage status.

[0078] <Flowchart> Figure 10 is a diagram showing the procedure for determining the usage status in the third embodiment. Refer to Figure 9 as appropriate. Refer to Figures 5 and 9 as appropriate. First, the user takes a picture (S201) of the installation of the refrigerator body 100Ba (see Figure 5) in the refrigerator 100a (one of refrigerators 100a1 to 100a4) owned by the user using the camera T1 installed on the terminal device T owned by the user. For example, the user takes a picture that shows the side of the refrigerator body 100Ba and the distance from the wall. The user then transmits the captured image of the installation status to the diagnostic device 200a (S202). Next, the diagnostic device 200a evaluates whether the refrigerator unit 100Ba is properly installed based on the transmitted image (S203). The evaluation is performed, for example, as follows: First, an evaluation value based on the distance between the side of the refrigerator unit 100Ba and the wall is pre-set in the storage device 220 of the diagnostic device 200a. Then, the diagnostic device 200a estimates the distance between the side of the refrigerator unit 100Ba and the wall from the transmitted image. Next, the diagnostic device 200a determines an evaluation value related to the installation state (usage state) of the refrigerator unit 100Ba based on the estimated distance and the evaluation value stored in the storage device 220. The diagnostic device 200a transmits the evaluation result from step S203 to the terminal device T, and the terminal device T outputs the transmitted evaluation result (S204). The process shown in Figure 10 is performed for each refrigerator 100a. In other words, the diagnostic device 200a diagnoses the normality of each of the multiple refrigeration devices based on the amount of energy input based on the operating information obtained from each of the multiple refrigeration devices.

[0079] <Evaluation screen> Figure 11 shows an example of the diagnostic result display screen 700 that is displayed on the terminal device T in step S204 of Figure 10. The diagnostic result display screen 700 includes a history display unit 710, a normality comparison unit 720, an operating status display unit 731, and a usage status display unit 732. The history display unit 710 is similar to the display of the history display unit 430 shown in Figure 8, but the display of the history display unit 710 shown in Figure 11 differs from the display of the history display unit 430 shown in Figure 8 in that the vertical axis represents the degree of normality. This is achieved by reversing the vertical axis of the danger level in Figure 8. Therefore, the danger line 712 corresponds to the danger line 432 in Figure 8, and the reference line 713 corresponds to the reference line 431 in Figure 8.

[0080] Furthermore, the time-dependent change in normality shown in Figure 11 (solid line 711) takes into account the installation condition (usage condition) of the refrigerator unit 100Ba. Here, the installation condition is the one evaluated in step S203 of Figure 10. For example, the diagnostic device 200a predetermines a value to be subtracted from the normality based on the distance between the side of the refrigerator unit 100Ba and the wall. This subtraction value is set based on the evaluation value calculated in step S203 of Figure 10.

[0081] Then, the normality calculated by the diagnostic device 200a is subtracted from a value determined according to the distance between the side of the refrigerator body 100Ba and the wall (newly calculated normality), and this result is displayed as the change in normality over time (solid line 711). In addition, before calculating the normality, a value determined according to the distance between the side of the refrigerator body 100Ba and the wall may be subtracted from the input energy amount. Alternatively, before calculating the normality, the diagnostic device 200a may add a value determined according to the distance between the side of the refrigerator body 100Ba and the wall to the assumed performance 342 (see Figure 6).

[0082] As shown in Figure 11, the normality score takes into account the influence of the installation condition (usage condition) of the refrigerator unit 100Ba. Even if the installation condition is deemed inappropriate, the average user is often unable to take action. Therefore, as shown in Figure 11, by taking the installation condition of the refrigerator unit 100Ba into the normality score, the user can check the normality score that takes the influence of the installation condition into account. In addition, the evaluation value of the installation condition itself is output on the diagnostic result display screen 700, and the user may diagnose the installation condition themselves.

[0083] In this way, the installation status of the refrigerator unit 100Ba is uploaded as an image to the diagnostic device 200a, and a normality diagnosis is performed by removing the installation status factor (evaluation value) from the normality score. In the third embodiment, the evaluation value for the set state may be calculated by machine learning. Since the evaluation value for the installation state and machine learning parameters are stored in advance in a database (not shown), the diagnostic device 200a can calculate the evaluation value for the installation state in a short time when it receives an image. This allows, for example, when the refrigerator 100a is delivered, the manufacturer's service technician to use the method of the third embodiment to check the installation status of the refrigerator unit 100Ba.

[0084] Furthermore, the normality comparison unit 720 displays a normality histogram. As shown in Figure 11, the horizontal axis of the normality histogram represents the normality shown in the history display unit 710, and the vertical axis represents the number of units. The normality histogram is generated based on the current normality.

[0085] The normality histogram then shows the number of refrigerators 100a that belong to the corresponding normality range. Furthermore, in the normality comparison unit 720 shown in Figure 11, the normality histogram to which refrigerators 100a owned by the person who owns the terminal device T belong is shown with a diagonal line. In this way, the user can compare their own normality with that of others. In other words, the normality of each of the multiple refrigerators 100a is output in a comparable manner. As mentioned above, the normality is taken into account the installation condition (usage condition). For example, the distance between the side of the refrigerator body 100Ba and the wall is also related to the energy saving degree. Therefore, it can be said that the normality reflects the energy saving degree. For this reason, the energy saving degree may be displayed instead of the normality in the normality comparison unit 720.

[0086] Furthermore, in the third embodiment, an example of an evaluation value for evaluating the usage state is shown, which is based on the distance between the side of the refrigerator body 100Ba and the wall (installation state). However, as another example of the usage state, evaluation values ​​such as the set temperature or the degree of occupancy of the internal space 102 (see Figure 5) may be calculated. In such a case, in the process shown in Figure 10, the user takes an image that shows the set temperature and the degree of occupancy of the internal space 102 and sends it to the diagnostic device 200a. The set temperature may also be sent directly from the refrigerator 100a to the diagnostic device 200a in addition to the image. Then, in step S203, the diagnostic device 200a determines (evaluates) a preset evaluation value according to the set temperature and the degree of occupancy of the internal space 102.

[0087] Furthermore, the operating status display unit 731 displays the normality of the operating status based on the history display unit 710. The usage status display unit 732 displays the user's usage status as shown in the normality comparison unit 720. In the example shown in Figure 11, the usage status display unit 732 shows the installation status of the refrigerator unit 100Ba, which is one form of usage status.

[0088] In the third embodiment, the person using terminal device T is defined as the user, but it may also be used by a service technician performing maintenance, etc.

[0089] According to the third embodiment, the history display unit 710 in Figure 11 shows where the user's usage status (utilization status) stands overall, which can help the user reconsider the condition (energy efficiency, etc.) of their own refrigerator 100a.

[0090] Thus, according to the third embodiment, the influence of the installation condition (usage condition) can be reflected in the normality.

[0091] [Fourth Embodiment] Next, a fourth embodiment of the present invention will be described with reference to Figures 12 and 13. In the fourth embodiment, we will describe the case where the object to be diagnosed is a heat pump water heater (heat pump type thermal storage device) 500. Figure 12 shows the configuration of the refrigeration equipment system Zc in the fourth embodiment. The refrigeration and heating equipment system Zc performs a normal function diagnosis of the heat pump water heater 500.

[0092] The refrigeration and heating equipment system Zc comprises a heat pump water heater 500 and a diagnostic device 200a.

[0093] (Heat pump water heater 500) The heat pump water heater 500 comprises a heat pump unit 510, a hot water storage unit 520, a control device 131, and a communication device 132. The heat pump unit 510 is equipped with a heat pump cycle H that heats chilled water to produce hot water during the boiling operation. The hot water storage unit 520 is equipped with a water-side cycle (heating channel) W that operates during the boiling operation and a hot water supply channel group F that operates during hot water supply. The control device 131 and the communication device 132 will be described later.

[0094] The heat pump cycle H is a flow path in which the compressor (drive source) 511, water / refrigerant heat exchanger (heat dissipation device, temperature control device) 512, expansion valve (expansion device) 513, and evaporator (heat absorption device) 514 are each connected in a ring. The evaporator 514 is equipped with a blower fan 515. The individual components of the heat pump cycle H will be described later.

[0095] (Water-side cycle W) The water-side cycle W has a configuration in which a hot water storage container (temperature-controlled space, heat storage space) 521, a circulation pump for heating 522, and a water / refrigerant heat exchanger 512 are connected in a ring. The hot water supply flow path group F consists of a flow path in which a water pipe 524, a hot water storage container 521, and a water inlet (water supply device) 523 are connected in series, and a pipe 525 that directly connects the water pipe 524 and the inlet of the water inlet 523.

[0096] (Heat pump cycle H) The heat pump cycle H contains R744, a CO2 refrigerant, as the heat transfer medium. However, the refrigerant is not limited to R744; various other refrigerants such as R32 and R410A can be selected depending on the purpose.

[0097] Furthermore, the heat pump water heater 500 is equipped with an outside air temperature sensor 531 that measures the outside air temperature. Furthermore, the heat pump water heater 500 is equipped with a control device 131 and a communication device 132. The control device 131 transmits information such as the rotational speed of the compressor 511 and the temperature measured by the outside temperature sensor 531 (temperature information) to the diagnostic device 200a via the communication device 132.

[0098] (When tap water (cold water) is supplied) When tap water (cold water) is supplied from the water inlet 523, the pressure reducing valve 526 closes and the valve 527 in the piping 525 opens. As a result, water is supplied directly from the water pipe 524 to the water inlet 523 via the piping 525.

[0099] (When supplying hot water) Next, we will briefly explain the operation of the heat pump water heater 500 when supplying hot water using Figure 12. The refrigerant is compressed in the compressor 511 to a high temperature and high pressure state, and then in the water / refrigerant heat exchanger 512, it heats the cold water sent from the hot water storage container 521 by the heating circulation pump 522, and in return releases its own heat to perform a heat exchange.

[0100] The refrigerant then passes through the expansion valve 513, becoming low temperature and low pressure. After receiving heat from the outside air supplied by the blower fan 515 in the evaporator 514, it flows back into the compressor 511. In the water / refrigerant heat exchanger 512, water and refrigerant flow in opposite directions, and the hot water, heated by the refrigerant, is returned to the hot water storage container 521.

[0101] During hot water supply, hot water flows from the top of the hot water storage container 521 to the water inlet 523, and at the same time, tap water is supplied from the water pipe 524 to the water inlet 523 via piping 525. The hot water and tap water are mixed at the inlet of the water inlet 523 before flowing out of the water inlet 523. During hot water supply, the opening of valve 527 is adjusted. As hot water flows out of the hot water storage container 521, tap water is replenished from the water pipe 524 via the pressure reducing valve 526.

[0102] Next, the operation of the evaporator 514 will be explained. When the heat pump cycle H is driven, the blower fan 515 rotates, generating a flow of outside air from the evaporator 514 towards the blower fan 515. At the same time, as shown in Figure 12, the refrigerant flowing into the evaporator 514 is branched into multiple flow paths at the distribution section (not shown), passes through each flow path to absorb heat from the outside air, and is then discharged from the evaporator 514.

[0103] The refrigerant flows in from one end of the evaporator 514, passes through the evaporator 514 in a nearly horizontal direction to the opposite end, and then returns to the next stage, gaining heat from the outside air as it flows.

[0104] (Control device 131) The control device 131 acquires information on the rotational speed of the compressor 511 and the ambient temperature measured by the ambient temperature sensor 531, and transmits each piece of acquired information to the diagnostic device 200a via the communication device 132.

[0105] (Diagnostic device 200a and terminal device T) The diagnostic device 200a estimates the amount of energy input based on information obtained from the heat pump water heater 500 via the control device 131 and communication devices 132 and 241, and performs a normality diagnosis based on the estimated amount of energy input. The configuration of the diagnostic device 200a is the same as that of the diagnostic device 200a shown in Figure 5, so the explanation in Figure 11 is omitted. The diagnostic device 200a estimates the amount of energy input to the heat pump water heater 500 by integrating the rotational speed of the compressor 511 in the heat pump water heater 500 over time. In addition, the diagnostic device 200a obtains the outside air temperature of the heat pump water heater 500 from the outside air temperature sensor 531. The diagnostic device 200a may also be a server installed in a company or other organization, in a so-called cloud environment. Furthermore, since terminal device T is the same as that shown in Figure 5, etc., the explanation in Figure 11 will be omitted.

[0106] <Time change in energy input> Figure 13 shows the time variation of the energy input in the refrigeration equipment system Zc. In Figure 13, components similar to those in Figure 6 are denoted by the same reference numerals and their explanations are omitted. Note that the heat pump water heater 500 requires less energy input in the summer and more energy input in the winter, so the summer and winter are reversed in Figure 6. In other words, the assumed performance 342 is lower in the summer (time 349a) and higher in the winter (time 349b). The time variation of the input energy shown in Figure 13 is the same as the time variation of the input energy shown in Figure 6, except that the input energy is the energy input to the heat pump water heater 500, and the time variation of the temperature measured by the internal temperature sensor 122 (see Figure 5) is not shown. Incidentally, the assumed performance 342 is estimated based on the outside air temperature measured by the outside air temperature sensor 531 shown in Figure 12. Furthermore, the procedure for diagnosing the normality of the heat pump water heater 500 using the diagnostic device 200a is the same as the time change in the input energy shown in Figure 6.

[0107] Thus, in the cooling and heating equipment system Zc of the fourth embodiment, normality is determined by comparing the amount of energy input with the assumed performance 342 estimated by the ambient temperature.

[0108] Furthermore, the diagnostic device 200a performs a normality diagnosis of the heat pump water heater 500 at predetermined intervals (for example, every day) and transmits the diagnosis results to the terminal device T. At this time, a screen similar to the diagnostic result display screen 400 shown in Figure 8 may be displayed on the screen of the terminal device T, showing the time change (history) of the amount of energy input, the urgency, the predicted value of the amount of energy input, etc. Also, information regarding the cause of the abnormality may be displayed, similar to the diagnostic result display screen 400 shown in Figure 8.

[0109] In the fourth embodiment, a normal function diagnosis of the heat pump water heater 500 is described, but a normal function diagnosis of a gas water heater may also be performed. In the normal function diagnosis of a gas water heater, the amount of gas input is used as the amount of energy input. Furthermore, the technology described in the fourth embodiment may also be applied to a hybrid water heater of a heat pump and a gas type. In such a hybrid water heater, the amount of energy input is the sum of the time integral value of the rotational speed of the compressor 511 and the amount of gas input. When the time integral value of the rotational speed of the compressor 511 and the amount of gas input are added, it is preferable to convert, for example, the time integral value of the rotational speed of the compressor 511 and the amount of gas input to joules or the like.

[0110] In the refrigeration and heating system Zc, a normal function check is performed while the hot water in the hot water storage container 521 is not being used. For example, it is preferable to perform this check late at night. Alternatively, if the hot water in the hot water storage container 521 is used during the normal function check, the diagnostic device 200a should stop the normal function check. The diagnostic device 200a should collect the amount of energy input and temperature information while the normal function check is not being performed and store it in the memory device 220.

[0111] In the fourth embodiment, a cooling and heating system Zc is applied to the heat pump water heater 500. According to the fourth embodiment, the normality of the heat pump water heater 500 can be easily diagnosed by the amount of energy input. Since the amount of energy input used for heating on a daily basis can be calculated, if the amount of heat heated is high despite low usage, it can be diagnosed that heat leakage or the like is occurring, by correlating this with the frequency of use of the heat pump water heater 500.

[0112] [Fifth Embodiment] Next, a fifth embodiment of the present invention will be described with reference to Figures 14 to 16. <Configuration of the refrigeration and heating system Zd> Figure 14 shows the configuration of the refrigeration equipment system Zd in the fifth embodiment. The refrigeration and heating equipment system Zd performs a diagnostic check for malfunctions in the washing machine / dryer 600. The refrigeration and heating equipment system Zd comprises a washing and drying machine 600 and a diagnostic device 200a.

[0113] (Washer-dryer 600) The washing machine 600 illustrated in the fifth embodiment is an electric washing machine. The washing machine 600 comprises a washing machine body (drying device) 600B, a control device 131, and a communication device 132. The washing machine / dryer unit 600B includes a washing tub (clothing holding section) 601, a motor 603, and a load sensor (sensor) 604. Furthermore, the washing machine / dryer unit 600B includes a heater (drive source) 605, a blower (air blower) 606, and an outside temperature sensor 607. Inside the heater 605 is an electric heater (temperature control device) 605a made of nichrome wire or the like, which generates heat when power is applied. The user opens the door 602, places the clothes to be washed into the washing tub 601, and closes the door 602. This holds the clothes in the washing tub 601. At this time, the load sensor 604 measures the mass of the clothes placed in the washing tub 601 (the detected value of the internal factor). Subsequently, the motor 603 rotates the washing tub 601, performing the washing, spinning, and drying processes. The water from the clothes is drained through the drain port 621.

[0114] After the washing and spinning cycles are complete, the drying cycle is performed. Naturally, wet clothes are placed in the washing tub 601 when the drying cycle begins. The blower 606 takes in air from outside the washing machine body 600B via the first duct 608 and blows the taken-in air into the washing tub 601 via the second duct 609. The second duct 609 is equipped with a heater 605, and in the drying process, the air blown by the blower 606 is heated by the heater 605 before being blown into the washing tub 601. Specifically, the electric heater 605a in the heater 605 generates heat, and this heat warms the air sent by the blower 606 before it is blown into the washing tub 601.

[0115] Additionally, the outside temperature sensor 607 measures the outside air temperature of the washing machine / dryer unit 600B.

[0116] (Control device 131) Furthermore, the control device 131 transmits information such as the power supplied to the heater 605 and the temperature measured by the ambient temperature sensor 607 (temperature information) to the diagnostic device 200a via the communication device 132.

[0117] (Diagnostic device 200a and terminal device T) The diagnostic device 200a estimates the amount of energy input based on information obtained from the washing machine / dryer 600 via the control device 131 and communication devices 132 and 241, and makes a normal status determination based on the estimated amount of energy input. The configuration of the diagnostic device 200a is the same as the diagnostic device 200a shown in Figure 5, but the diagnostic device 200a estimates the amount of energy input to the washing machine / dryer body 600B by calculating the time integral of the power input to the heater 605 in the washing machine / dryer body 600B. Specifically, the amount of energy input to the washing machine / dryer 600 is estimated by the time integral of (input voltage × input current) to the heater 605. The diagnostic device 200a also obtains the mass of clothes placed in the washing tub 601 from the load sensor 604 of the washing machine / dryer body 600B, and calculates the assumed performance 811 (see Figure 15) from the acquired mass of clothes. Then, the diagnostic device 200a diagnoses an abnormality in the washing machine / dryer body 600B based on the difference between the assumed performance 811 and the amount of energy input. The expected performance 811 of the washing machine / dryer unit 600B will be described later. The diagnostic device 200a also acquires the ambient temperature measured by the ambient temperature sensor 607. Furthermore, the diagnostic device 200a also acquires the mass of the clothing from the load sensor 604. The diagnostic device 200a may also be configured as a server installed in a company or other organization, creating a so-called cloud environment. Furthermore, since terminal device T is the same as that shown in Figure 5, etc., the explanation in Figure 11 will be omitted.

[0118] <Relationship between energy input and clothing weight> Figure 15 shows the relationship between the amount of energy input to the washing machine / dryer unit 600B and the mass of clothes (clothing mass) placed in the washing tub 601 of the washing machine / dryer unit 600B. Furthermore, the assumed performance 811 of the washing machine / dryer unit 600B is the minimum amount of energy supplied to the heater 605 in order to dry the clothes placed in the washing tub 601. Therefore, the larger the mass of the clothes, the greater the amount of energy supplied. Thus, the mass of the clothes is used when calculating the amount of energy supplied to the heater 605. Plot 812 shows the amount of energy input to the heater 605.

[0119] The diagnostic device 200a determines abnormalities in the washing and drying machine body 600B based on the difference between the assumed performance 811 and the measured amount of energy input. The difference between the assumed performance 811 and the amount of energy input is defined as follows. First, a perpendicular line is drawn from the plot 812, which shows the amount of energy input, to the x-axis (axis of clothing mass), as shown by the straight line 813. Then, the difference between the assumed performance 811 and the amount of energy input shown by plot 812 is defined by the length between the point where this perpendicular line intersects the assumed performance 811 and the plot 812 showing the amount of energy input. Hereafter, the difference between the assumed performance 811 and the measured amount of energy input will be called the deviation. Note that Figure 15 shows numerous plots 812, each of which shows the amount of energy input estimated each time washing and drying is performed. When performing a normality diagnosis, the diagnostic device 200a only needs to calculate the deviation for the amount of energy input corresponding to the washing and drying being performed at that time.

[0120] Furthermore, it is possible to incorporate the ambient temperature measured by the ambient temperature sensor 607 shown in Figure 14 into the assumed performance 811. In other words, when the ambient temperature is high, such as in summer, the assumed performance 811 will be small, and when the ambient temperature is low, such as in winter, the assumed performance 811 will be large. When the assumed performance 811 is large, the slope of the assumed performance 811 shown in Figure 15 becomes large, and when the assumed performance 811 is small, the slope of the assumed performance 811 shown in Figure 15 becomes small.

[0121] <Time-dependent change in deviation> Figure 16 shows the time evolution of the degree of deviation. In Figure 16, the horizontal axis represents the number of drying cycles, and the vertical axis represents the degree of deviation. The degree of deviation is the same as the degree of deviation shown in Figure 15 (the length of the line 813 in Figure 15). As shown in Figure 16, the diagnostic device 200a diagnoses an abnormality when the deviation (plot 821) reaches a threshold 822. That is, the diagnostic device 200a diagnoses an abnormality when the magnitude of the deviation 823 reaches a predetermined magnitude (the magnitude of the threshold 822). Furthermore, similar to Figure 6, the diagnostic device 200a diagnoses the urgency based on the magnitude of the slope 824 of the deviation. The deviation indicated by reference numeral 831 represents the current deviation. Thus, in this fifth embodiment, the normality of the washing machine / dryer body 600B is diagnosed based on the mass of the clothes, which is an internal factor.

[0122] In the fifth embodiment, an electric washer-dryer is shown as the washer-dryer 600, but a heat pump washer-dryer may also be used. The heat pump washer-dryer can be diagnosed for normal operation using the same method as in the fourth embodiment. A gas washer-dryer may also be used. When a gas washer-dryer is used, the amount of gas input is used as the amount of energy input.

[0123] Furthermore, a screen similar to the diagnostic result display screen 400 shown in Figure 8 may be displayed on the display screen of the terminal device T, showing the time change (history) of the input energy amount, the urgency level, the predicted input energy amount, etc. Also, information regarding the cause of the abnormality may be displayed, similar to the diagnostic result display screen 400 shown in Figure 8.

[0124] In the fifth embodiment, the mass of clothes placed in the washing tub 601 is measured by the load sensor 604. However, the load sensor 604 may be omitted, and the amount of clothes placed inside the washing tub 601 may be measured according to the load current value of the motor 603 that drives the washing tub 601. In addition, in the fifth embodiment, the amount of energy supplied to the heater 605 may be used as the amount of energy supplied during the normality diagnosis, as well as the amount of energy supplied to the blower 606. The amount of energy supplied to the blower 606 is shown as the time integral of the power supplied to the blower 606.

[0125] Furthermore, the washer-dryer 600 may be a dryer that does not have a washing function.

[0126] Furthermore, in the cooling and heating equipment system Zd, it is preferable that the normal function diagnosis be performed while the drying function of the washing machine / dryer unit 600B is not being used. For example, it would be preferable to perform it late at night. Alternatively, if the drying function of the washing machine / dryer unit 600B is used during the normal function diagnosis, the diagnostic device 200a should stop the normal function diagnosis. In this case, information regarding the amount of energy input may be stored in the storage device 220, and the normal function diagnosis result for each drying cycle may be displayed.

[0127] As shown in the fifth embodiment, by using the mass of clothes placed inside the washing tub 601 for normality diagnosis, it is possible to perform normality diagnosis for predetermined conditions such as the mass of clothes placed inside the washing tub 601.

[0128] In the fifth embodiment, a cooling and heating system Zd is applied to the washing and drying machine 600. According to the fifth embodiment, the normal operation of the washing and drying machine 600 can be easily diagnosed based on the amount of energy input. If the amount of energy (electricity) used to dry the clothes is excessively large, it is possible to diagnose leaks or heat leaks in the air passages of the first duct 608 and the second duct 609.

[0129] Although not described in this embodiment, a similar normality diagnosis can also be performed on an air conditioner by using the time integral of the compressor's rotational speed as the input energy.

[0130] This embodiment describes the diagnosis of a refrigerator 100, a heat pump water heater 500, and a washer-dryer 600, but the refrigeration equipment system Z of this embodiment may also be applied to the diagnosis of an air conditioner. When an air conditioner is diagnosed, the time integral of the rotational speed of the compressor 112 is used as the input energy.

[0131] In the third embodiment, an example is shown in which a health check is performed on multiple refrigerators 100a (100a1 to 100a4), but the embodiment is not limited to this. Multiple heat pump water heaters 500, multiple washer-dryers 600, or multiple air conditioners may also be subject to the health check.

[0132] Furthermore, in the third embodiment, the usage status (installation status) of the refrigerator 100a is evaluated by calculating an evaluation value, but the embodiment is not limited to this.

[0133] The present invention is not limited to the embodiments described above, and includes various modifications. For example, the embodiments described above are described in detail to make the present invention easier to understand, and are not necessarily limited to those having all the configurations described. Furthermore, it is possible to replace parts of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add configurations from other embodiments to the configuration of one embodiment. In addition, it is possible to add, delete, or replace parts of the configuration of each embodiment with other configurations.

[0134] Furthermore, each of the above-mentioned configurations, functions, arithmetic unit 210, storage device 220, etc., may be implemented in hardware, either partially or entirely, by designing them as integrated circuits, for example. Alternatively, each of the above-mentioned configurations, functions, etc., may be implemented in software by having a processor such as a CPU (and arithmetic unit 210) interpret and execute programs that realize each function. Information such as programs, tables, and files that realize each function can be stored not only on an HD (Hard Disk), but also in memory, a recording device such as an SSD (Solid State Drive), or a recording medium such as an IC (Integrated Circuit) card, an SD (Secure Digital) card, or a DVD (Digital Versatile Disc).

[0135] Furthermore, in each embodiment, only those control lines and information lines deemed necessary for explanation are shown, and not all control lines and information lines are necessarily shown in the actual product. In practice, it can be assumed that almost all components are interconnected. [Explanation of Symbols]

[0136] 100a Refrigerator 100B Refrigerator body (cooling equipment, cooling device) 100Ba Refrigerator body (cooling equipment, cooling device) 100a1 Refrigerator 100a2 Refrigerator 100a3 Refrigerator 100a4 Refrigerator 101 Display device (output device) 102 Interior space (temperature-controlled space, cooling space) 103 Door 104 Blower fan 111 Heat absorption devices (temperature control devices, refrigeration cycles) 112 Compressor (drive source, refrigeration cycle) 113 Heat dissipation device (refrigeration cycle) 114 Expansion device (refrigeration cycle) 121 Outdoor temperature sensor (sensor) 122 Internal temperature sensor (temperature sensor) 131 Control device 132 Communication equipment (transmitting equipment) 200 Diagnostic devices (refrigeration equipment diagnostic systems) 200a Diagnostic device (refrigeration equipment diagnostic system) 210 Arithmetic equipment 220 Storage device 230 Control device 241 Communication equipment (receiving equipment) 301 code 302 sign 303 Diagnostic period 311 Slope (Change Information) 312 Difference (Change Information) 313 sign 314 Normal line 315 Maximum output 316 Difference (Change Information) 330 Diagnostic Result Display Screen 341 Maximum output 342 Expected Performance 343 Difference 343a difference 344 Slope 345 Fault Line 346 Circular plot (Energy input) 347 Star Plot 349a 349b 400 Diagnostic Result Display Screen 410 Operating status display unit 420 Urgency display section 430 History display section 431 Reference Line 432 Danger Line 433 Solid line graph 434 Dashed line graph 435 sign 436a Difference 436b Slope 440 Abnormal cause display section 450 Abnormal cause candidate display area 500 Heat pump water heater (heat pump type thermal storage device) 510 Heat Pump Unit 511 Compressor (Power Source) 512 Water / refrigerant heat exchanger (heat dissipation device, temperature control device) 513 Expansion valve (expansion device) 514 Evaporator (heat absorption device) 515 Blower fan 520 Hot water storage unit 521 Hot water storage container 522 Circulation pump for water heating 523 Water supply port (water supply device) 524 Water pipes 525 Piping 526 Pressure Reducing Valve 527 Valve 531 Outdoor temperature sensor (sensor) 600 Washer-Dryer 600B Washer-dryer unit (drying device) 601 Washing tub (clothing holding section) 602 Door 603 Motor 604 Load Sensor (Sensor) 605 Heater (Power Source) 605a Electric heater (temperature control device) 606 Blower (Air blower) 607 Outdoor temperature sensor 608 Duct No. 1 609 Duct No. 2 621 Drain port 700 Diagnostic results display screen 710 History display section 711 Solid line 712 Danger Line 713 Reference Line 720 Normality comparison section 731 Operating status display unit 732 Usage Status Display Unit 811 Expected performance 812 Plot 813 straight line 821 Plot 822 threshold 823 Magnitude of deviation 824 Slope of deviation 831 code F Hot water supply channel group H Heat pump cycle T Terminal device (output device) T1 Camera W Water-side cycle (heating channel) Z Refrigeration and Heating Equipment System Za Refrigeration and Heating Equipment System Zb Refrigeration and Heating Equipment System Zc Refrigeration and Heating Equipment System Zd Refrigeration and Heating Equipment System

Claims

1. A refrigeration and heating equipment comprising a drive source that operates according to the amount of energy input and a temperature control device that controls the temperature of a temperature-controlled space using the drive source, has a calculation device that calculates the amount of energy input to the drive source based on operational information obtained from the equipment, calculates change amount information which is information on the amount of change in the amount of energy input over time, and diagnoses the normality of the refrigeration and heating equipment based on the change amount information, The aforementioned change amount information is the difference between the maximum amount of energy that can be input and the amount of energy that is input. The aforementioned computing device is The normality is diagnosed by using the aforementioned difference as the severity level. The severity level is output to the output device. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

2. A refrigeration and heating equipment comprising a drive source that operates according to the amount of energy input and a temperature control device that controls the temperature of a temperature-controlled space using the drive source, has a calculation device that calculates the amount of energy input to the drive source based on operational information obtained from the equipment, calculates change amount information which is information on the amount of change in the amount of energy input over time, and diagnoses the normality of the refrigeration and heating equipment based on the change amount information, The aforementioned change amount information is the slope of the input energy amount over time, The aforementioned computing device is The degree of urgency is estimated based on the magnitude of the slope, thereby diagnosing the normality. The aforementioned urgency level is output to the output device. The aforementioned refrigeration equipment is The garment holding section, which holds the garments as the temperature-controlled space, The heater as the drive source, The electric heater of the heater, which serves as the temperature control device, A blower that sends air heated by the heater to the clothing holding section, A drying apparatus equipped with, The input energy is the time integral of the power supplied to the heater. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

3. A refrigeration equipment diagnostic system according to claim 1 or claim 2, The input energy amount is normalized within a predetermined range, and the normality of the cooling equipment is diagnosed based on the information regarding the normalized input energy amount. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

4. A refrigeration equipment diagnostic system according to claim 1 or claim 2, In addition to the aforementioned change amount information, the normal operation of the refrigeration equipment is diagnosed based on the amount of change in temperature over time obtained by a temperature sensor installed in the temperature-controlled space. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

5. A refrigeration equipment diagnostic system according to claim 1 or claim 2, The detection value of a sensor that detects either an external or internal factor of the refrigeration equipment is added to the operating information, and the normality of the refrigeration equipment is diagnosed based on the external or internal factor. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

6. A refrigeration equipment diagnostic system according to claim 1 or claim 2, The diagnosis of normality is performed while the temperature-controlled space is closed. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

7. A refrigeration equipment diagnostic system according to claim 1 or claim 2, The aforementioned refrigeration equipment diagnostic system is installed in a location separate from the refrigeration equipment, The refrigeration equipment diagnostic system includes a communication device for communicating with the refrigeration equipment. A diagnostic system for refrigeration and heating equipment, characterized by having the following features.

8. A refrigeration equipment diagnostic system according to claim 7, A transmitting device that transmits information regarding the normal operation of the refrigeration equipment to a terminal device, which is a separate device from the refrigeration equipment and the refrigeration equipment diagnostic system. A diagnostic system for refrigeration and heating equipment, characterized by having the following features.

9. A refrigeration equipment diagnostic system according to claim 8, The output device outputs at least one of the following: the history of normality calculated based on the input energy amount, the prediction of the normality, and the urgency level related to the normality based on the magnitude of the slope of the normality in the time change of the normality. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

10. A refrigeration equipment diagnostic system according to claim 1 or claim 2, Based on an image of the usage status of the refrigeration equipment taken by a camera installed in a terminal device, which is a separate device from the refrigeration equipment, an evaluation value regarding the usage status of the refrigeration equipment is calculated. By adding the evaluation value to the normality calculated based on the amount of energy input, the normality is newly calculated. The output device outputs the newly calculated information regarding the normality level. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

11. A refrigeration equipment diagnostic system according to claim 1 or claim 2, The system uses sensors installed in the refrigeration equipment to estimate the cause of any malfunction in the refrigeration equipment, and outputs both the cause of the malfunction and the normal status from the output device. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

12. A refrigeration equipment diagnostic system according to claim 1 or claim 2, The diagnosis of normality is updated after each cycle of operation in which the refrigeration equipment is regularly operated. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

13. A refrigeration equipment diagnostic system according to claim 12, One cycle of the aforementioned operation is a defrosting cycle. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

14. A refrigeration equipment diagnostic system according to claim 1 or claim 2, The operating information is obtained from each of the multiple refrigeration and heating devices. The calculation device diagnoses the normal status of each of the multiple cooling and heating devices based on the amount of energy input, which is based on the operating information obtained from each of the multiple cooling and heating devices. The output device outputs the status of each of the multiple cooling and heating devices in a way that allows for comparison. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

15. A refrigeration equipment diagnostic system according to claim 1, The aforementioned refrigeration equipment is The compressor used as the drive source, The aforementioned temperature control device includes a heat absorption device, Expansion device and Heat dissipation device and A refrigeration cycle in which a heat transfer medium is sealed in a flow path in which the compressor, the heat dissipation device, the expansion device, and the heat absorption device are each connected in an annular manner, A cooling space, which serves as the temperature-controlled space, is formed by the wall surface, The aforementioned refrigerated space is provided with a door that can be opened and closed, It is a cooling device composed of the following components: The input energy is the time integral of the rotational speed of the compressor. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

16. A refrigeration equipment diagnostic system according to claim 1, The aforementioned refrigeration equipment is The compressor used as the drive source, The aforementioned heat dissipation device as a temperature control device, Expansion device and A heat absorption device, Water supply equipment, A heat pump cycle in which a heat transfer medium is sealed in a flow path in which the compressor, the heat dissipation device, the expansion device, and the heat absorption device are each connected in an annular manner, The aforementioned heat storage space as a temperature-controlled space, The heat pump type heat storage device is composed of a heat storage space, a heat dissipation device, and a heating channel connecting the water supply device, The input energy is the time integral of the rotational speed of the compressor. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

17. A refrigeration equipment diagnostic system according to claim 1, The aforementioned refrigeration equipment is The garment holding section, which holds the garments as the temperature-controlled space, The heater as the drive source, The electric heater of the heater, which serves as the temperature control device, A blower that sends air heated by the heater to the clothing holding section, A drying apparatus equipped with, The input energy is the time integral of the power supplied to the heater. A diagnostic system for refrigeration and heating equipment, characterized by the following features.

Images