Refrigerant leakage detection method of compressor, refrigeration equipment and storage medium

Abstract

The embodiment of the invention relates to the technical field of air conditioners, in particular to a refrigerant leakage detection method of a compressor, refrigeration equipment and a storage medium, and the refrigerant leakage detection method comprises the steps that in a non-air-supply mode, operation parameters and load values of a target compressor are collected according to a preset collection period; aiming at the first operation parameter and the first load value acquired in the first acquisition period, judging whether the first load value is within a first normal load threshold range corresponding to the first operation parameter or not; if not, the operation parameters of the target compressor are adjusted to reduce the load value; for a second operation parameter and a second load value acquired in a second acquisition period after the operation parameter adjustment, judging whether the second load value is within a second normal load threshold range corresponding to the second operation parameter; and if not, it is determined that refrigerant leakage occurs in the target compressor. The refrigerant leakage condition can be confirmed without introduction of too many hardware sensor circuits, and the reliability of the air conditioning system is effectively improved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of air conditioning, and in particular to a refrigerant leakage detection method for a compressor, a refrigeration device, and a storage medium. Background Art

[0002] Refrigerant transfers heat in the refrigeration system. It absorbs heat to become gas, and then releases heat to become liquid, thereby achieving the cooling effect. Refrigerant leakage will reduce the cooling efficiency of the refrigeration equipment, affecting the normal operation and energy consumption performance of the equipment.

[0003] Currently, refrigerant leakage detection technology mostly relies on two methods: one is to use refrigerant leakage sensors for detection; the other is to use the signals obtained by temperature sensors such as compressor exhaust saturation temperature, outdoor heat exchanger outlet temperature and outdoor ambient temperature for detection.

[0004] However, existing refrigerant leakage detection methods all rely too much on additional sensor hardware to detect refrigerant leakage. If the sensor fails, it will affect the judgment of refrigerant leakage detection, making these detection methods less reliable. Summary of the invention

[0005] The purpose of the present invention is to at least provide a refrigerant leakage detection method for a compressor, a refrigeration device and a storage medium, which can at least solve the technical problem that the existing air-conditioning system needs to rely on additional sensor hardware when detecting refrigerant leakage, resulting in low system reliability when the sensor fails. At least it can achieve the goal of detecting refrigerant leakage without relying on additional sensor hardware.

[0006] In order to solve the above technical problems, at least one embodiment of the present application provides a method for detecting refrigerant leakage of a compressor, comprising:

[0007] In the non-air supply mode, the operating parameters and load values ​​of the target compressor are collected according to the preset collection cycle;

[0008] For a first operating parameter and a first load value collected in a first collection period, determining whether the first load value is within a first normal load threshold range corresponding to the first operating parameter;

[0009] When the first load value is not within the first normal load threshold range, adjusting the operating parameters of the target compressor to reduce the load value;

[0010] For the second operating parameter and the second load value collected in the second collection period after the operating parameter is adjusted, determining whether the second load value is within a second normal load threshold range corresponding to the second operating parameter;

[0011] When it is determined that the second load value is not within the second normal load threshold range, it is confirmed that refrigerant leakage occurs in the target compressor.

[0012] At least one embodiment of the present application also provides a refrigeration device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the above-mentioned refrigerant leakage detection method for the compressor.

[0013] At least one embodiment of the present application further provides a computer-readable storage medium storing a computer program, wherein the computer program implements the above-mentioned method for detecting refrigerant leakage of a compressor when executed by a processor.

[0014] The embodiments of the present application provide a refrigerant leakage detection method, refrigeration equipment, and storage medium for a compressor. In a non-air supply mode, the operating parameters and load values ​​of the target compressor are collected according to a preset collection cycle. If the load value is not within the normal range, it indicates that there may be a problem with the compressor (such as refrigerant leakage). At this time, it is necessary to adjust the operating parameters of the compressor to reduce the load value to see if it can be restored to a normal state through adjustment. After the operating parameters are adjusted, the collected load value is still not within the normal range, indicating that the compressor cannot be restored to a normal state by adjusting the operating parameters. At this time, it can be confirmed that the target compressor has a refrigerant leakage problem. In this embodiment, the comparison of the load value and its corresponding normal load threshold range, as well as the process of re-judgment after the operating parameters are adjusted, do not rely on other hardware sensors, thereby improving the reliability of leakage judgment.

[0015] In some optional embodiments, after confirming that the target compressor has a refrigerant leak, the method further includes:

[0016] The operating parameter of the target compressor is called back to be the same as the first operating parameter;

[0017] For a third load value collected in a third collection cycle after the operation parameter is called back, the severity of the refrigerant leakage of the target compressor is determined according to a difference between the third load value and the first load value.

[0018] In this embodiment, the compressor is called back to the initial operating parameters (i.e., the first operating parameters), and a third load value is collected during a third collection cycle. The difference between the third load value and the first load value is compared, and the difference is used as a quantitative indicator to evaluate the severity of the refrigerant leakage.

[0019] In some optional embodiments, the operating parameters and load values ​​collected in each collection cycle correspond to each other one by one and are multiple;

[0020] The determining, according to the difference between the third load value and the first load value, the severity of the refrigerant leakage of the target compressor includes:

[0021] Calculating the average of all the first load values ​​collected in the first collection period to obtain a first load average; calculating the average of all the third load values ​​collected in the third collection period to obtain a second load average;

[0022] The severity of the refrigerant leakage is determined according to the difference between the first load average and the second load average.

[0023] In this embodiment, the mean calculation helps to smooth the fluctuation of individual load values, more accurately reflect the average load state of the compressor in the corresponding acquisition period, reduce the impact of individual load value fluctuations on the evaluation results, and improve the accuracy of the evaluation. At the same time, using the mean difference for evaluation can more intuitively reflect the impact of refrigerant leakage on the overall performance of the compressor.

[0024] In some optional embodiments, determining the severity of refrigerant leakage according to the difference between the first load average and the second load average includes:

[0025] A differential operation is performed on a difference between the first load average value and the second load average value, and a refrigerant leakage severity is determined according to a result obtained by the differential operation.

[0026] In this embodiment, the differential operation can capture the slight changes in the load mean difference over time, so that the evaluation result is more timely and can reflect the impact of refrigerant leakage on the compressor performance in a more timely manner.

[0027] In some optional embodiments, determining the severity of the refrigerant leakage according to the result obtained by the differential operation includes:

[0028] When the difference between the first load average and the second load average is the first load average minus the second load average, the larger the result obtained by the differential operation is, the more serious the refrigerant leakage is;

[0029] When the difference between the first load average and the second load average is the second load average minus the first load average, the smaller the result obtained by the differential operation is, the more serious the refrigerant leakage is.

[0030] In this embodiment, a flexible differential operation mode and a corresponding leakage determination method are provided.

[0031] In some optional embodiments, determining whether the first load value is within a first normal load threshold range corresponding to the first operating parameter includes:

[0032] Compare each of the load values ​​acquired in the first acquisition period with the first normal load threshold range, and count the number of abnormal load values ​​that are not within the first normal load threshold range;

[0033] It is determined whether the abnormal number exceeds a preset upper limit value to determine whether the first load value is within a first normal load threshold range corresponding to the first operating parameter.

[0034] In this embodiment, since a statistical and comparative method is used instead of a single data point judgment, the misjudgment rate caused by data fluctuation or noise can be reduced. Moreover, the preset upper limit value can be adjusted according to the actual situation to adapt to the changes in different operating parameters and load conditions, so that the system has stronger adaptability and robustness when facing different situations, and can more accurately identify abnormal situations.

[0035] In some optional embodiments, adjusting the operating parameters of the target compressor to reduce the load value includes: lowering the operating value of the refrigeration capacity of the target compressor to reduce the load value.

[0036] In this embodiment, when the system load is abnormal, the refrigeration capacity can be reduced to respond to the change in load value immediately, thereby preventing or reducing the adverse effects of refrigerant leakage to a certain extent. This helps to take measures at the early stage of refrigerant leakage to avoid further deterioration of the problem and protect the compressor and system from damage.

[0037] In some optional embodiments, detecting the load value in real time according to a preset collection period includes:

[0038] During the acquisition cycle, the compressor current and compressor speed of the target refrigeration equipment are obtained;

[0039] The load value is calculated in real time using the following formula:

[0040]

[0041] Among them, ω m is the compressor speed, T e is the electromagnetic torque of the compressor, J is the moment of inertia of the compressor, b is the damping coefficient, k1 and k2 are preset parameter variables, and ∧ is the symbol of the observed value.

[0042] In this embodiment, a position observer-free observation algorithm is used to estimate the compressor speed, and then the compressor load is observed in real time based on the current value and the speed value. There is no need to rely on physical position sensors (such as Hall effect sensors, photoelectric encoders, etc.), which not only helps to reduce system costs, but also improves the observation accuracy and reliability of the load value. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] One or more embodiments are exemplarily described by the pictures in the corresponding drawings, and these exemplary descriptions do not constitute limitations on the embodiments.

[0044] Figure 1 The following is a flow chart of a method for detecting refrigerant leakage of a compressor provided by an embodiment of the present application: Figure 1 ;

[0045] Figure 2 is a control block diagram of a position-free load observer provided by an embodiment of the present application;

[0046] Figure 3 is a structural schematic diagram of a refrigerant leakage detection system for a compressor provided by another embodiment of the present application;

[0047] Figure 4 Another embodiment of the present invention provides a method for detecting a refrigerant leak in a compressor. Figure 2 ;

[0048] Figure 5 is a schematic diagram of severity classification of refrigerant leakage of a compressor provided by another embodiment of the present application;

[0049] Figure 6 It is a structural block diagram of a refrigerant leakage detection device for a compressor provided in another embodiment of the present application. DETAILED DESCRIPTION

[0050] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings. However, it will be appreciated by those skilled in the art that in the present application, many technical details are proposed in order to enable the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical scheme claimed in the present application can also be implemented. The division of the following embodiments is for the convenience of description, and the specific implementation of the present application should not be construed as any limitation, and the various embodiments can be combined and referenced with each other under the premise of no contradiction.

[0051] In order to solve the technical problem that the existing air-conditioning system needs to rely on additional sensor hardware to detect refrigerant leakage, resulting in low system reliability when the sensor fails, the present invention proposes a refrigerant leakage detection method for a compressor. The implementation details of the refrigerant leakage detection method for the compressor of this embodiment are specifically described below. The following content is only the implementation details provided for easy understanding and is not necessary for the implementation of this solution.

[0052] Embodiment 1:

[0053] The compressor refrigerant leakage detection method of this embodiment can be applied to refrigeration equipment with communication, computing and data storage capabilities. The specific process can be as follows: Figure 1 As shown, including:

[0054] Step 110, in the non-air supply mode, collecting the operating parameters and load values ​​of the target compressor according to a preset collection cycle;

[0055] In this embodiment, the air supply mode does not involve the transfer of refrigerant, so this method is not applicable in the air supply mode. Non-air supply modes include cooling mode, heating mode, sleep mode, dehumidification mode, and automatic mode. The collection cycle can be determined according to actual usage requirements. For example, the operating parameters and load values ​​of the target compressor are collected every 0.5 seconds, and 20 consecutive collections are considered as one collection cycle.

[0056] The operating parameters of the target compressor include current and voltage values. The load value of the compressor, i.e., the current or power consumed by the compressor during operation, can be obtained through devices such as ammeters or power meters. The measuring device is connected to the data acquisition system and automatically collects data according to the preset collection cycle.

[0057] Step 120, for the first operating parameter and the first load value collected in the first collection period, determining whether the first load value is within a first normal load threshold range corresponding to the first operating parameter;

[0058] In this embodiment, the first normal load threshold range should be determined according to the model, specification and operating environment of the target compressor. In actual application, the mapping relationship between the operating parameters and the normal load threshold range can be stored in the database in advance. When the first operating parameter and the first load value are collected, the first normal load threshold range corresponding to the first operating parameter can be quickly determined through the mapping relationship between the operating parameter and the normal load threshold range.

[0059] By comparing the first load value with the first normal load threshold range, it can be preliminarily determined whether the compressor has an abnormal load condition. If the first load value exceeds the normal range, it indicates that the compressor has an abnormal load condition, which may be caused by refrigerant leakage or other reasons, and further detection is required.

[0060] Step 130, when the first load value is not within the first normal load threshold range, adjusting the operating parameters of the target compressor to reduce the load value;

[0061] In this embodiment, when the first load value exceeds the first normal load threshold range, the load value can be reduced by adjusting the operating parameters of the compressor. For example, adjusting the operating parameters of the target compressor, such as reducing the cooling capacity, adjusting the speed, etc., can achieve the reduction of the load value.

[0062] Reducing the load value can eliminate the problem of false detection caused by external factors, which helps to further confirm whether there is a refrigerant leakage problem in the compressor. At the same time, when the load value is abnormal, reducing the load value can reduce the damage to the compressor caused by abnormal load.

[0063] When the first load value is within the first normal load threshold range, it indicates that the compressor is in good operating condition, and the collection cycle continues.

[0064] Step 140, for the second operating parameter and the second load value collected in the second collection period after the operating parameter is adjusted, determining whether the second load value is within a second normal load threshold range corresponding to the second operating parameter;

[0065] In this embodiment, after adjusting the operating parameters, it is necessary to collect the operating parameters and load values ​​of the compressor again according to the collection cycle (i.e., the second collection cycle), and determine whether the second load value is within the second normal load threshold range. The method for determining whether the second load value is within the second normal load threshold range corresponding to the second operating parameter is similar to that in the above step 120, and is not described here to avoid repetition.

[0066] Step 150: When it is determined that the second load value is not within the second normal load threshold range, confirm that a refrigerant leak occurs in the target compressor.

[0067] In this embodiment, after adjusting the operating parameters, if the second load value still exceeds the normal range, it means that the compressor is abnormal, and the abnormality is not caused by accidental factors, but by refrigerant leakage.

[0068] In summary, the refrigerant leakage detection method for the compressor provided in the present embodiment collects the operating parameters and load values ​​of the target compressor according to the preset collection cycle in the non-air supply mode. If the load value is not within the normal range, it means that there may be a problem with the compressor (such as refrigerant leakage). At this time, it is necessary to adjust the operating parameters of the compressor to reduce the load value to see if it can be restored to a normal state through adjustment. After the operating parameters are adjusted, the collected load value is still not within the normal range, indicating that the compressor cannot be restored to a normal state by adjusting the operating parameters. At this time, it can be confirmed that the target compressor has a refrigerant leakage problem. In this embodiment, the comparison of the load value and its corresponding normal load threshold range, as well as the process of re-judgment after the operating parameters are adjusted, do not rely on other hardware sensors, but improve the reliability of leakage judgment by detecting abnormalities in the compressor itself, such as refrigerant leakage sensors or temperature sensors.

[0069] In some embodiments, after confirming that the target compressor has a refrigerant leakage, it also includes: calling back the operating parameters of the target compressor to be the same as the first operating parameters; and determining the severity of the refrigerant leakage of the target compressor based on the difference between the third load value and the first load value and a third load value collected within a third collection cycle after the operating parameter is called back.

[0070] In this embodiment, the compressor is called back to the initial operating parameters (i.e., the first operating parameters), and a third load value is collected during a third collection cycle. The difference between the third load value and the first load value is compared, and the difference is used as a quantitative indicator to evaluate the severity of the refrigerant leakage.

[0071] That is, the refrigerant leakage detection in this embodiment is divided into three processes:

[0072] 1. Preliminary judgment and load adjustment

[0073] In the non-air supply mode, by collecting the operating parameters and load values ​​of the compressor, it is possible to preliminarily determine whether the compressor has an abnormal load. If the first load value is outside the normal range, it may indicate that the compressor has a refrigerant leak or other faults.

[0074] To further confirm whether there is a refrigerant leak in the compressor, you can try to reduce the load value by adjusting the operating parameters of the compressor. If the load value can be successfully reduced to the normal range and the compressor operates stably after adjustment, it may be just a temporary load abnormality rather than a refrigerant leak.

[0075] However, if the load value cannot be reduced to the normal range, or the compressor operation is unstable after adjustment, it may indicate that the compressor has a refrigerant leak or other serious problems.

[0076] 2. Run parameter callback

[0077] After initially determining that the compressor may have a refrigerant leak, in order to more accurately determine the severity of the leak, the operating parameters of the compressor need to be called back to the initial state (i.e., the first operating parameters). This is done to compare the load value changes before and after the leak under the same operating conditions, so as to more accurately assess the severity of the leak.

[0078] 3. Confirmation of Leakage Severity

[0079] After the operation parameter callback, collect the third load value in the third collection cycle. Compare the third load value with the first load value and calculate their difference. The size of the difference can reflect the severity of the refrigerant leakage. The larger the difference, the more serious the leakage; the smaller the difference, the relatively minor the leakage.

[0080] In some optional embodiments, the operating parameters and load values ​​collected in each of the collection cycles correspond one to one and are multiple; determining the severity of refrigerant leakage in the target compressor based on the difference between the third load value and the first load value includes: calculating the mean of all the first load values ​​collected in the first collection cycle to obtain a first load mean; calculating the mean of all the third load values ​​collected in the third collection cycle to obtain a second load mean; determining the severity of the refrigerant leakage based on the difference between the first load mean and the second load mean.

[0081] In this embodiment, the mean calculation helps to smooth the fluctuation of individual load values, more accurately reflect the average load state of the compressor in the corresponding acquisition period, reduce the impact of individual load value fluctuations on the evaluation results, and improve the accuracy of the evaluation. At the same time, using the mean difference for evaluation can more intuitively reflect the impact of refrigerant leakage on the overall performance of the compressor.

[0082] For example, in the first collection cycle, n consecutive collections are performed (n is a reasonable constant greater than zero) to obtain n first load values. The n first load values ​​are averaged to obtain a first load mean. In the second collection cycle, n consecutive collections are performed similarly to obtain n second load values. The n second load values ​​are averaged to obtain a second load mean. The first load mean and the second load mean are subtracted to obtain the difference, and the absolute value of the difference is used to characterize the severity of the leakage. The larger the absolute value of the difference, the more serious the leakage.

[0083] In some optional embodiments, determining the severity of refrigerant leakage based on the difference between the first load mean and the second load mean includes: performing a differential operation on the difference between the first load mean and the second load mean, and determining the severity of refrigerant leakage based on a result of the differential operation.

[0084] In this embodiment, the differential operation can capture the slight changes in the load mean difference over time, making the evaluation result more timely and able to reflect the impact of refrigerant leakage on compressor performance more timely. The differential calculation formula is as follows:

[0085] K= dy

[0086] dt

[0087] Wherein, dy is the difference between the first load average and the second load average, and dt is the execution cycle of the control chip.

[0088] In some optional embodiments, the severity of the leakage is graded, for example, into slight leakage, moderate leakage and severe leakage. The graded warning can enable relevant personnel to better deal with the problem.

[0089] In some optional embodiments, the severity of the refrigerant leakage is determined based on the result obtained by the differential operation, including: when the difference between the first load mean and the second load mean is the first load mean minus the second load mean, the larger the result obtained by the differential operation, the more serious the refrigerant leakage; when the difference between the first load mean and the second load mean is the second load mean minus the first load mean, the smaller the result obtained by the differential operation, the more serious the refrigerant leakage. In this embodiment, a flexible differential operation method and a corresponding leakage judgment method are provided, which can be flexibly selected in actual use.

[0090] In some optional embodiments, the determining whether the first load value is within a first normal load threshold range corresponding to the first operating parameter includes: comparing each of the load values ​​acquired during the first acquisition period with the first normal load threshold range, and counting the number of abnormal load values ​​that are not within the first normal load threshold range; and determining whether the number of abnormalities exceeds a preset upper limit value to determine whether the first load value is within the first normal load threshold range corresponding to the first operating parameter.

[0091] In this embodiment, since a statistical and comparative method is used instead of a single data point judgment, the misjudgment rate caused by data fluctuation or noise can be reduced. Moreover, the preset upper limit value can be adjusted according to the actual situation to adapt to the changes in different operating parameters and load conditions, so that the system has stronger adaptability and robustness when facing different situations, and can more accurately identify abnormal situations.

[0092] For example, n consecutive acquisitions are performed in the first acquisition cycle to obtain n first load values. The first normal load threshold range corresponding to the first operating parameter is set to [2,4], and the upper limit of the number of abnormalities is m, where m is less than n. When the number of load values ​​less than 2 or greater than 4 among the n first load values ​​is greater than m, it is determined that the first load value is not within the first normal load threshold range, and the system is abnormal. Otherwise, it is in a normal operating state and the system continues to run.

[0093] In some optional embodiments, adjusting the operating parameters of the target compressor to reduce the load value includes: lowering the operating value of the refrigeration capacity of the target compressor to reduce the load value.

[0094] In this embodiment, when the system load is abnormal, the refrigeration capacity can be reduced to respond to the change in load value immediately, thereby preventing or reducing the adverse effects of refrigerant leakage to a certain extent. This helps to take measures at the early stage of refrigerant leakage to avoid further deterioration of the problem and protect the compressor and system from damage.

[0095] In some optional embodiments, detecting the load value in real time according to a preset collection period includes:

[0096] During the acquisition cycle, the compressor current and compressor speed of the target refrigeration equipment are obtained;

[0097] The load value is calculated in real time using the following formula:

[0098]

[0099] Among them, ω m is the compressor speed, T e is the electromagnetic torque of the compressor, J is the moment of inertia of the compressor, b is the damping coefficient, k1 and k2 are preset parameter variables, and ∧ is the symbol of the observed value.

[0100] In this embodiment, a positionless load observer observation algorithm is used to estimate the compressor speed, and then the compressor load is observed in real time based on the current value and the speed value. There is no need to rely on physical position sensors (such as Hall effect sensors, photoelectric encoders, etc.), which not only helps to reduce system costs, but also improves the observation accuracy and reliability of the load value.

[0101] like Figure 2 As shown, it is a control block diagram of the position-free load observer used in the embodiment.

[0102] W m ,i q , T e They are the current rotor speed, actual current value and electromagnetic torque of the target compressor respectively;

[0103] p, λ0, J, and b are the number of magnetic pole pairs, permanent magnet flux, moment of inertia, and damping coefficient of the target compressor motor body, respectively;

[0104] k1, k2 are preset parameter variables, ^ is the observation value symbol, and s is the differential operator.

[0105] During actual refrigerant leakage monitoring, a current sensor is used to sample the current of the target compressor, and a positionless load observer observation algorithm is used to estimate the compressor speed. Then, the compressor load is observed in real time based on the current value and the speed value to obtain a real-time detected load value.

[0106] Embodiment 2:

[0107] Based on the above embodiments, this embodiment provides an application example, that is, a refrigerant leakage detection system for a compressor. Figure 3 As shown, the system includes: a current sensor, a DSP control module and a storage module.

[0108] The refrigerant leakage detection method is as follows:

[0109] 1. In any operation mode except the air supply mode, a current sensor is used to sample the current of the compressor, and a position-free observer observation algorithm is used to estimate the compressor speed. Then, the compressor load is observed in real time based on the current value and the speed value.

[0110] The real-time observation value of the load is given by the observer formula as follows:

[0111]

[0112] Its control block diagram is as follows Figure 2 .

[0113] 2. If Figure 4 As shown in FIG. 1 , it is a flowchart of a specific implementation of judging whether the load value is abnormal. After estimating the load value of the compressor in real time, a table lookup is performed in the storage device according to the current operating state (cooling capacity, temperature and other factors) and compared with the normal value range stored in the table. If the estimated values ​​obtained for n consecutive times (n is a reasonable constant greater than zero) are all within the normal value range obtained after the table lookup, it is determined to be in a normal operating state and the system continues to operate.

[0114] 3. If Figure 4As shown, if the estimated values ​​of n consecutive observations are greater than or equal to m times (m is a positive integer less than or equal to n) outside the normal range, in order to avoid false detection problems caused by external factors, after the abnormality is detected, the operating values ​​such as the cooling capacity need to be reduced to reduce the load value, and then the load observer is used to estimate the current load, and then execute according to step 2. If the load estimation value is abnormal, it is determined that a refrigerant leak has occurred at this time.

[0115] 4. If Figure 4 As shown, in order to further confirm the severity of the refrigerant leakage, it is necessary to raise the operating values ​​such as the cooling capacity back to the same state as the first detection, continue to execute step 3, and calculate the difference between the average values ​​of the two detections (calculate the difference between the average value of the n load values ​​collected when the abnormality was detected for the first time and the average value of the n load values ​​collected when the abnormality was detected for the third time when the first detection was adjusted back).

[0116] like Figure 5 As shown, by performing a differential operation on the final average value difference, the severity of the refrigerant leakage K is obtained, the severity of the refrigerant leakage is judged, and the air-conditioning system is processed accordingly.

[0117] The refrigerant leakage detection method of the compressor of this embodiment uses a load observer to observe the current load value of the compressor in real time, and also needs to compare the observed value with the theoretical load value of the working state set by the current main control, and then obtain the detection result through judgment and confirmation. This detection method does not require the introduction of hardware sensor circuits and can effectively improve the reliability of the air conditioning system.

[0118] Embodiment three:

[0119] Another embodiment of the present application relates to a refrigerant leakage detection device for a compressor. The implementation details of the refrigerant leakage detection device for the compressor of this embodiment are specifically described below. The following content is only for the convenience of understanding the implementation details provided, and is not necessary for the implementation of this solution. The schematic diagram of the refrigerant leakage detection device for the compressor of this embodiment can be as follows Figure 6 As shown, it includes a collection module 610, a first judgment module 620, an adjustment module 630, a second judgment module 640 and a leakage confirmation module 650.

[0120] The collection module 610 is used to collect the operating parameters and load values ​​of the target compressor according to a preset collection cycle in the non-air supply mode;

[0121] A first judging module 620 is configured to judge, for a first operating parameter and a first load value collected in a first collection period, whether the first load value is within a first normal load threshold range corresponding to the first operating parameter;

[0122] an adjusting module 630, configured to adjust an operating parameter of the target compressor to reduce the load value when the first load value is not within the first normal load threshold range;

[0123] A second judgment module 640 is used to judge whether the second load value is within a second normal load threshold range corresponding to the second operating parameter according to the second operating parameter and the second load value collected in the second collection period after the operating parameter is adjusted;

[0124] The leakage confirmation module 650 is used to confirm that the target compressor has a refrigerant leakage when it is determined that the second load value is not within the second normal load threshold range.

[0125] It is worth mentioning that all modules involved in this embodiment are logic modules. In practical applications, a logic unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed by this application, but this does not mean that there are no other units in this embodiment.

[0126] Embodiment 4:

[0127] Another embodiment of the present application relates to a refrigeration device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the refrigerant leakage detection method for the compressor in the above-mentioned embodiments.

[0128] Among them, the memory and the processor are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors and memories together. The bus can also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor.

[0129] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory can be used to store data used by the processor when performing operations.

[0130] Embodiment five:

[0131] Another embodiment of the present application relates to a computer-readable storage medium storing a computer program, which implements the above method embodiment when executed by a processor.

[0132] That is, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as: ROM), random access memory (Random Access Memory, referred to as: RAM), disk or optical disk and other media that can store program codes.

[0133] Those skilled in the art will appreciate that the above embodiments are specific embodiments for implementing the present application, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present application.

Claims

1. A method for detecting refrigerant leakage of a compressor, characterized in that: include: In the non-air supply mode, the operating parameters and load values ​​of the target compressor are collected according to the preset collection cycle; For a first operating parameter and a first load value collected in a first collection period, determining whether the first load value is within a first normal load threshold range corresponding to the first operating parameter; When the first load value is not within the first normal load threshold range, adjusting the operating parameters of the target compressor to reduce the load value; For the second operating parameter and the second load value collected in the second collection period after the operating parameter is adjusted, determining whether the second load value is within a second normal load threshold range corresponding to the second operating parameter; When it is determined that the second load value is not within the second normal load threshold range, it is confirmed that refrigerant leakage occurs in the target compressor.

2. The method for detecting refrigerant leakage of a compressor according to claim 1, characterized in that: After confirming that the target compressor has a refrigerant leak, the method further includes: The operating parameter of the target compressor is called back to be the same as the first operating parameter; For a third load value collected in a third collection cycle after the operation parameter is called back, the severity of the refrigerant leakage of the target compressor is determined according to a difference between the third load value and the first load value.

3. The method for detecting refrigerant leakage of a compressor according to claim 2, characterized in that: The operating parameters and load values ​​collected in each collection cycle correspond to each other one by one and are multiple; The determining, according to the difference between the third load value and the first load value, the severity of the refrigerant leakage of the target compressor includes: Calculating an average of all the first load values ​​collected in the first collection period to obtain a first load average; Calculating the average of all the third load values ​​collected in the third collection period to obtain a second load average; The severity of the refrigerant leakage of the target compressor is determined according to the difference between the first load average value and the second load average value.

4. The method for detecting refrigerant leakage of a compressor according to claim 3, characterized in that: The determining the severity of the refrigerant leakage according to the difference between the first load average and the second load average includes: A differential operation is performed on a difference between the first load average value and the second load average value, and a severity of refrigerant leakage of the target compressor is determined according to a result obtained by the differential operation.

5. The method for detecting refrigerant leakage of a compressor according to claim 4, characterized in that: Determining the severity of the refrigerant leakage of the target compressor according to the result obtained by the differential operation includes: When the difference between the first load average and the second load average is the first load average minus the second load average, the larger the result obtained by the differential operation is, the more serious the refrigerant leakage of the target compressor is; When the difference between the first load average and the second load average is the second load average minus the first load average, the smaller the result obtained by the differential operation is, the more serious the refrigerant leakage of the target compressor is.

6. The method for detecting refrigerant leakage of a compressor according to claim 3, characterized in that: The determining whether the first load value is within a first normal load threshold range corresponding to the first operating parameter includes: Compare each of the load values ​​acquired in the first acquisition period with the first normal load threshold range, and count the number of abnormal load values ​​that are not within the first normal load threshold range; It is determined whether the abnormal number exceeds a preset upper limit value to determine whether the first load value is within a first normal load threshold range corresponding to the first operating parameter.

7. The method for detecting refrigerant leakage of a compressor according to claim 1, characterized in that: Adjusting the operating parameters of the target compressor to adjust the load value includes: adjusting the operating value of the refrigeration capacity of the target compressor to adjust the load value; The higher the adjusted operating value of the refrigeration capacity is, the higher the corresponding adjusted load value is.

8. The method for detecting refrigerant leakage of a compressor according to any one of claims 1 to 7, characterized in that: The collecting of the operating parameters and load values ​​of the target compressor according to the preset collection period includes: During the acquisition period, the compressor current and compressor speed of the target refrigeration equipment are obtained; The load value is calculated in real time using the following formula: Among them, ω m is the compressor speed, T e is the electromagnetic torque of the compressor, J is the moment of inertia of the compressor, b is the damping coefficient, k1 and k2 are preset parameter variables, and ∧ is the symbol of the observed value.

9. A refrigeration device, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the refrigerant leakage detection method for the compressor as described in any one of claims 1 to 8.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for detecting refrigerant leakage of a compressor according to any one of claims 1 to 8 is implemented.

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