Performance detection method, system and device for refrigerator controller and storage medium

Abstract

The invention relates to a refrigerator controller performance detection method, system and device and a storage medium, and belongs to the technical field of performance detection.The method comprises the steps that a performance detection instruction is obtained, and the performance detection instruction at least comprises detected product information and load information of a load electrically connected with a detected product; monitoring to obtain performance data and load operation data of the tested product; comparing the performance data of the tested product with preset reference performance data, and comparing the load operation data with preset reference operation data; and judging whether a fault exists or not based on a comparison result, and if yes, generating and outputting detection information with a fault type so that a detector can know the detection information. The method has the effects of improving the detection efficiency and the detection accuracy and reducing the false detection rate.

Description

Technical Field

[0001] The present application relates to the technical field of performance testing, and in particular to a performance testing method, system, device and storage medium for a refrigerator controller. Background Art

[0002] As a modern household appliance, refrigerators have been popularized in thousands of households. The production of refrigerators has also become a mature industry, and is progressing towards intelligence and electronics. Specifically, most refrigerators currently have highly integrated intelligent controllers. The quality of the controller directly affects the use of the entire refrigerator, so the detection of the controller is particularly important.

[0003] The current detection method is generally completed manually. The specific detection process is: manually connect the controller to the load electrically, where the load can be a fan, compressor, etc., and then the detection personnel observe whether the load can operate normally during the load operation and then judge whether it is qualified or not, such as whether the fan and compressor can start normally, etc. However, for the assembly line detection line, the manual detection method is inefficient and slow, and when the manual detection intensity is high, it is easy to have false detection, which affects the detection accuracy, so it needs to be improved. Summary of the invention

[0004] In order to improve detection efficiency and improve detection accuracy, the present application provides a performance detection method, system, device and storage medium for a refrigerator controller.

[0005] In a first aspect, the present application provides a performance detection method for a refrigerator controller, which adopts the following technical solution: Obtaining a performance detection instruction, wherein the performance detection instruction includes at least information of the product under test and load information of a load electrically connected to the product under test; monitoring and obtaining performance data of the product under test and load operation data; Comparing the tested product performance data with preset benchmark performance data, and comparing the load operation data with preset benchmark operation data; Based on the comparison result, it is determined whether a fault exists. If so, detection information with the fault type is generated and output so that the detection personnel can be informed of the detection information.

[0006] By adopting the above technical solution, when it is necessary to monitor the performance of the product under test (i.e., the refrigerator controller), the performance detection instruction can be triggered manually. At this time, the present application will obtain relevant information of the product under test and the load connected thereto based on the performance detection instruction, and start monitoring to obtain the performance data of the product under test and the load operation data, and then compare the aforementioned data with the benchmark data (i.e., benchmark performance data and benchmark operation data) to determine whether there is a fault based on the comparison result, and output detection information with the fault type, so as to replace manual labor with this intelligent detection method, improve detection efficiency and reduce the amount of false detection.

[0007] Optionally, the monitoring obtains the tested product performance data and load operation data including: Based on a preset first correspondence table, whenever the target monitoring stage is reached, the performance data of the tested product and / or the load operation data corresponding to the target monitoring stage are monitored and obtained; wherein, the first correspondence table includes several monitoring stages, and the performance parameters of the tested product and the load operation parameters corresponding to each detection stage, the performance data of the tested product is the data corresponding to the performance parameters of the tested product, the load operation data is the data corresponding to the load operation parameters, and the target monitoring stage refers to any monitoring stage.

[0008] By adopting the above technical scheme, faults of different types are not always discovered when the monitoring data is first obtained, that is, faults of different types often occur within a certain period of time during the operation of the load controlled by the tested product. For example, the shell temperature data of the tested product will generally appear as an overtemperature and be identified as a fault only after the tested product controls the load for a period of time. Therefore, the present application pre-sets a first corresponding relationship table as a reference, which contains the monitoring stage in which the fault of each fault type is discovered, which is artificially summarized in advance, and the performance parameters and load operation parameters of the tested product that need to be monitored in the monitoring stage. The data corresponding to the corresponding performance parameters and load operation parameters of the tested product (performance data of the tested product, load operation data) are the data used to determine whether the corresponding fault has occurred. That is, the present application monitors the data in stages, and only the corresponding performance data and load operation data of the tested product are monitored in the separate monitoring stage, and then the aforementioned data are compared with the benchmark data to reduce the comparison amount and the calculation burden of the system caused by the comparison.

[0009] Optionally, the method further includes: Based on the generated detection information, the number of detection information generated corresponding to each preset fault type is determined regularly, and all the performance parameters of the tested products and the load operation parameters are sorted according to the order of the generated numbers and the preset second correspondence table to obtain a comparison order; wherein the second correspondence table is used to store each preset fault type and its corresponding performance parameter of the tested product and / or load operation parameter; The monitoring obtains the performance data and load operation data of the tested product, including: According to the current comparison order, the performance data and load operation data of the tested product are monitored in sequence.

[0010] By adopting the above technical solution, faults of different fault types are sorted according to the number of occurrences (i.e., the number of detection information generated corresponding to the fault type), and a sorted comparison order with the performance parameters of the tested product and the load operation parameters is obtained. The performance data of the tested product and the load operation data are then collected in sequence according to the comparison order, so as to discover faults more timely.

[0011] Optionally, the monitoring obtains the tested product performance data and load operation data including: Monitor the performance data and load operation data of the tested product at the specified frequency and add them to the monitoring data set; The comparing the tested product performance data with preset benchmark performance data, and the comparing the load operation data with preset benchmark operation data, includes: Whenever new performance data of the tested product is added to the monitoring data set, the maximum value of the performance data of the tested product in the monitoring data set at the current moment is determined, and the maximum value of the performance data of the tested product is compared with the preset benchmark performance data; wherein the maximum value of the performance data of the tested product refers to the maximum value and the minimum value of the performance data of the tested product in the monitoring data set; Whenever new load operation data is added to the monitoring data set, the maximum value of the load operation data in the monitoring data set at the current moment is determined, and the maximum value of the load operation data is compared with the preset benchmark operation data; wherein the maximum value of the load operation data refers to the maximum and minimum values ​​of the load operation data in the monitoring data set.

[0012] By adopting the above technical solution, for the performance data of the tested product and the load operation data obtained by monitoring at a specified frequency, only the maximum value can be selected for comparison, without the need to compare each data. This comparison method can further reduce the comparison amount and the computational burden of the system caused by the comparison on the basis of realizing fault judgment.

[0013] Optionally, the designated frequency includes a first designated frequency and a second designated frequency, and the first designated frequency is higher than the second designated frequency; The method further comprises: If the maximum value of the measured product performance data or the maximum value of the load operation data determined does not change during multiple adjacent monitoring times, and the difference between the maximum value of the measured product performance data or the load operation data that has not changed and the corresponding benchmark performance data or the corresponding benchmark operation data is not less than the preset difference, the corresponding designated frequency is determined as the second designated frequency; If, within multiple adjacent monitoring times, the determined maximum performance data of the product under test or the maximum load operation data changes multiple times, and the difference between the performance data of the product under test that has changed multiple times and the corresponding benchmark performance data, or the difference between the maximum load operation data that has changed multiple times and the corresponding benchmark operation data is less than the preset difference, the corresponding designated frequency is determined as the first designated frequency.

[0014] By adopting the above technical solution, if the maximum value changes multiple times and the difference between the maximum value and the reference value is less than the preset difference, it means that the corresponding data (i.e. the tested product data and / or the load operation data) fluctuates greatly. If the maximum values ​​corresponding to multiple adjacent monitoring times are the same, that is, there is no change, and the difference between the corresponding maximum value and the reference value is not less than the preset difference, it means that the corresponding data (i.e. the tested product data and / or the load operation data) changes smoothly. Based on this, the specified frequency of the monitoring data can be adjusted to reduce the data comparison burden when the data changes smoothly, and improve the timeliness of fault judgment when the data fluctuates greatly.

[0015] Optionally, the method further includes: If there is no fault and the comparison difference corresponding to the comparison result is small, an impending fault warning message is generated and output; The generating and outputting the detection information with the fault type includes: Generate detection information with the fault type, and determine the maintenance difficulty based on the comparison difference size corresponding to the comparison result and the fault type, add the maintenance difficulty to the corresponding detection information, and output the detection information.

[0016] By adopting the above technical solution, it is determined whether there is a fault based on the comparison result. If there is no fault, but the comparison difference value of the comparison result is small, it means that the corresponding monitored data (i.e. the data of the tested product and / or the load operation data) has been close to the corresponding benchmark data. At this time, it is considered that a fault is imminent, and an imminent fault warning information can be issued so that the inspection personnel can determine whether further monitoring is needed. If it is directly determined that there is a fault, the maintenance difficulty can be determined according to the fault type and the degree of comparison difference, so that the inspection personnel can use it as a reference to decide whether the faulty product has maintenance value.

[0017] Optionally, the performance test instruction also includes the production date of the tested product; The method further comprises: Based on the performance data and load operation data of the tested product monitored in a specified historical period, a performance reference diagram showing the change of data with the change of usage time is determined regularly, where the usage time = monitoring time - factory date; Whenever a performance detection instruction is received, the remaining service life of the product under test is predicted and output based on the performance data of the product under test obtained through monitoring and the current performance reference map.

[0018] By adopting the above-mentioned technical scheme, the performance reference diagram can be considered as a summary of the changes in the corresponding monitored data of the tested product as the usage time increases, which is based on the performance data and load operation data of the tested product monitored in the historical period. Whenever a performance test instruction is received, the remaining service life of the tested product can be determined based on the performance data of the tested product currently monitored and the current performance reference diagram, so that the test personnel can use this as a reference to determine the next test time for the performance test of the tested product.

[0019] In a second aspect, the present application provides a performance detection system for a refrigerator controller, comprising: A data monitoring module is used to obtain a performance detection instruction, wherein the performance detection instruction includes at least information of the product under test and load information of a load electrically connected to the product under test; and monitor and obtain performance data of the product under test and load operation data; A data analysis module, used to compare the performance data of the tested product with preset benchmark performance data, and to compare the load operation data with preset benchmark operation data; The fault determination module is used to determine whether a fault exists based on the comparison result. If so, it generates and outputs detection information with the fault type so that the detection personnel can know the detection information.

[0020] In a third aspect, the present application provides a performance detection device for a refrigerator controller, comprising a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any one of the methods described in the first aspect.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute any one of the methods described in the first aspect.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: 1. In this application, the relevant information of the tested product and the load connected thereto is obtained based on the performance detection instruction, and the performance data of the tested product and the load operation data are monitored and obtained. By comparing and analyzing the aforementioned data with the benchmark data (i.e., benchmark performance data and benchmark operation data), it is determined whether there is a fault, and the detection information with the fault type is output. This intelligent detection method replaces manual work, improves detection efficiency, and reduces the amount of false detection; 2. Furthermore, whenever a performance test instruction is received, the present application also proposes to determine the remaining service life of the product under test based on the performance data of the product under test obtained from the current monitoring and the preset performance reference diagram, so that the test personnel can use this as a reference to determine the next time to perform a performance test on the product under test. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 It is a flow chart of a performance detection method of a refrigerator controller disclosed in an embodiment of the present application.

[0025] Figure 2 It is a structural block diagram of a performance detection system for a refrigerator controller disclosed in an embodiment of the present application.

[0026] Explanation of the accompanying drawings: 1. Data monitoring module; 2. Data analysis module; 3. Fault determination module. DETAILED DESCRIPTION

[0027] The following is combined with Figure 1-2 This application is described in further detail.

[0028] The embodiment of the present application discloses a performance detection method for a refrigerator controller. The performance detection method for a refrigerator controller is intended to detect the performance data of the refrigerator controller itself (hereinafter referred to as the performance data of the tested product) and the load operation data during the operation of the load connected to the refrigerator controller, and to determine whether the refrigerator controller and its load have faults after analyzing the performance data of the tested product and the load operation data. If so, the detection information with the fault type is output, so as to realize the automatic detection of the performance of the refrigerator controller, thereby replacing manual work, improving the detection efficiency, improving the detection accuracy and reducing the false detection rate.

[0029] The performance testing method for refrigerator controller (hereinafter referred to as the performance testing method) is implemented by the performance testing system for refrigerator controller (hereinafter referred to as the performance testing system). Figure 1 The specific process steps of the Xineng detection method are specifically explained.

[0030] S101, obtaining a performance detection instruction, wherein the performance detection instruction at least includes information of a product under test and load information of a load electrically connected to the product under test; and monitoring to obtain performance data of the product under test and load operation data.

[0031] In practice, the performance test instruction can be manually triggered. Specifically, after the tester electrically connects the product under test to the load, he can touch the preset test button. The performance test system is electrically connected to the test button and is electrically connected to a touch screen for the tester to enter other information. The aforementioned other information can specifically be the product under test information and load information, such as the model and production date of the product under test. The load information can specifically be load attributes, such as fans, compressors, etc. At this time, the performance test system generates a performance test instruction and monitors and obtains the performance data of the product under test and the load operation data, wherein the performance data of the product under test refers to the data corresponding to the performance parameters of the product under test, and the performance parameters of the product under test can include the shell temperature of the product under test; the load operation data refers to the data corresponding to the load operation parameters, and the load operation parameters can specifically be fan current, fan voltage, compressor motor speed, etc.

[0032] S102, comparing the performance data of the product under test with the preset benchmark performance data, and comparing the load operation data with the preset benchmark operation data.

[0033] In practice, the benchmark performance data refers to the pre-set benchmark values ​​corresponding to the performance parameters of the tested product, such as the benchmark housing temperature. Similarly, the benchmark operation data refers to the pre-set benchmark values ​​corresponding to the load operation parameters, such as the fan benchmark current, fan benchmark voltage, compressor benchmark speed range, the benchmark control waveform of the tested product when controlling the compressor operation, etc. The performance detection system is used to compare the performance data of the tested product with the benchmark performance data, and to compare the load operation data with the benchmark operation data.

[0034] S103, judging whether there is a fault based on the comparison result, and if so, generating and outputting detection information with the fault type so that the detection personnel can know the detection information.

[0035] In implementation, the performance detection system pre-stores the correspondence between fault types and comparison results. Specifically, if the shell temperature of the product under test is greater than the reference shell temperature, it is considered that a fault has occurred, and the corresponding fault type is a controller temperature fault; if the load operating parameter is the load operating data of the compressor speed, which is less than the compressor reference speed range, it is considered to be a fault, and the corresponding fault type is a compressor minimum speed fault; if the load operating parameter is the load operating data of the compressor control waveform, which is inconsistent with the reference control waveform, it is considered to be a fault, and the corresponding fault type is a compressor start-up fault; if the load operating parameter is the load operating data of the fan current, which is greater than the fan reference current, it is considered to be a fault, and the corresponding fault type is a fan current fault... The performance detection system will generate detection information with fault types so that the detection personnel can know the detection information.

[0036] Optionally, the “monitoring and obtaining the performance data of the tested product and the load operation data” in S101 includes the following specific steps: Based on the preset first correspondence table, whenever the target monitoring stage is reached, the performance data of the tested product and / or the load operation data corresponding to the target monitoring stage are monitored; wherein, the first correspondence table includes several monitoring stages, and the performance parameters of the tested product and the load operation parameters corresponding to each detection stage, the performance data of the tested product is the data corresponding to the performance parameters of the tested product, the load operation data is the data corresponding to the load operation parameters, and the target monitoring stage refers to any monitoring stage.

[0037] In implementation, the performance detection system is preset with a first correspondence table, in which a number of monitoring stages and the performance parameters of the tested product and / or the load operation parameters corresponding to each monitoring stage are pre-stored. Whenever any monitoring stage is reached, the performance detection system will only obtain the data corresponding to the performance parameters of the tested product and / or the load operation parameters corresponding to the monitoring stage. In addition, each monitoring stage is embodied in the form of a time range, and the time range is the range corresponding to the time when the performance detection system receives the performance detection instruction as the reference time. For example, for the load operation parameter of the fan current, it is necessary to obtain the load operation data throughout the entire detection process. Therefore, the time range corresponding to the corresponding monitoring stage is the time from the reference time to the time corresponding to the specified detection time, and the specified detection time is a preset value.

[0038] As for the controller temperature, a performance parameter of the product under test, the temperature generally rises only after the controller has been working for a period of time. Therefore, the corresponding monitoring stage can start from the specified time after the reference time and end at the time corresponding to the specified detection time. Only the corresponding performance data of the product under test and / or load operation data are obtained in different monitoring stages, so as to reduce the amount of comparison corresponding to different monitoring stages.

[0039] Optionally, the performance detection method also includes: Based on the generated detection information, the number of detection information generated corresponding to each preset fault type is determined regularly, and all the performance parameters of the tested products and the load operation parameters are sorted according to the order of the generated numbers and the preset second correspondence table to obtain a comparison order; wherein the second correspondence table is used to store each preset fault type and its corresponding performance parameter of the tested product and / or load operation parameter; The “monitoring and obtaining of the performance data and load operation data of the tested product” in S101 includes: According to the current comparison order, the performance data and load operation data of the tested product are monitored in sequence.

[0040] In implementation, since there are multiple performance data and load operation data of the product under test, the present application proposes to monitor in sequence according to the comparison order, such as giving priority to monitoring the load operation data corresponding to the load operation parameters such as the fan current and the compressor speed, and then monitoring the shell temperature of the product under test. The comparison order is determined by the number of detection information corresponding to each fault type occurring in a specified period (i.e., regularly) by the performance detection system every specified period. The larger the number of detection information, the higher the corresponding performance parameters and load operation parameters of the product under test are ranked in the comparison order.

[0041] Optionally, the “monitoring and obtaining the performance data and load operation data of the tested product” in S101 includes: Monitor the performance data and load operation data of the tested product at the specified frequency and add them to the monitoring data set; S102 specifically includes: Whenever new performance data of the tested product is added to the monitoring data set, the maximum value of the performance data of the tested product in the monitoring data set at the current moment is determined, and the maximum value of the performance data of the tested product is compared with the preset benchmark performance data; wherein the maximum value of the performance data of the tested product refers to the maximum value and the minimum value of the performance data of the tested product in the monitoring data set; Whenever new load operation data is added to the monitoring data set, the maximum value of the load operation data in the monitoring data set at the current moment is determined, and the maximum value of the load operation data is compared with the preset benchmark operation data; wherein, the maximum value of the load operation data refers to the maximum and minimum values ​​of the load operation data in the monitoring data set.

[0042] During implementation, starting from receiving the performance test instruction, the performance test system will generate two monitoring data sets, one of which (hereinafter referred to as Set A) is used to store the performance data of the tested product obtained from each monitoring, and the other (hereinafter referred to as Set B) is used to store the load operation data obtained from each monitoring. Whenever new performance data of the tested product is added to Set A, the maximum value of the performance parameter of the tested product corresponding to the newly added performance data of the tested product in Set A at the current moment is determined, and the maximum value is the maximum value and the minimum value. The maximum value is then compared with the corresponding benchmark performance data, and it is determined whether there is a fault based on the result; the processing method for newly added load operation data in Set B is the same as above.

[0043] In other embodiments, if the determined maximum value has been compared with benchmark data (ie, benchmark performance data or benchmark operation data) in a historical period, the performance detection system will not perform the comparison operation until the maximum value has changed.

[0044] Correspondingly, optionally, the designated frequency includes a first designated frequency and a second designated frequency, and the first designated frequency is higher than the second designated frequency; Performance testing methods also include: If the maximum value of the measured product performance data or the maximum value of the load operation data determined does not change during multiple adjacent monitoring times, and the difference between the maximum value of the measured product performance data or the load operation data that has not changed and the corresponding benchmark performance data or the corresponding benchmark operation data is not less than the preset difference, the corresponding designated frequency is determined as the second designated frequency; If, within multiple adjacent monitoring times, the determined maximum performance data of the product under test or the maximum load operation data changes multiple times, and the difference between the performance data of the product under test that has changed multiple times and the corresponding benchmark performance data, or the difference between the maximum load operation data that has changed multiple times and the corresponding benchmark operation data is less than the preset difference, the corresponding designated frequency is determined as the first designated frequency.

[0045] In implementation, if after the performance data of the tested product is obtained through monitoring during multiple (such as 3) adjacent monitoring times, the maximum value of the performance data of the tested product does not change during this period, and the difference between the current maximum value and the corresponding benchmark performance data is not less than the preset difference, the designated frequency is determined as the second designated frequency to reduce the monitoring frequency of the performance data of the tested product; If the performance data of the product under test is obtained through monitoring during multiple (such as 3) adjacent monitoring times, and during this period, the maximum value of the performance data of the product under test changes multiple times (such as twice), and the difference between the performance data of the product under test that has changed multiple times and the corresponding benchmark performance data is less than the preset difference, the corresponding designated frequency will be adjusted to the first designated frequency, that is, the monitoring frequency of the performance data of the product under test will be increased.

[0046] Similarly, whether the maximum value of the load operation data changes or not and the corresponding adjustment method of the specified frequency are the same as above and will not be repeated here.

[0047] Optionally, the performance detection method also includes: If there is no fault and the comparison difference corresponding to the comparison result is small, an impending fault warning message is generated and output; The “generating and outputting detection information with fault type” in S103 includes: Generate detection information with the fault type, and determine the maintenance difficulty based on the comparison difference size corresponding to the comparison result and the fault type, add the maintenance difficulty to the corresponding detection information, and output the detection information.

[0048] During implementation, if it is determined that there is no fault based on the comparison results, but the difference between the performance data of the product under test and the corresponding benchmark performance data is less than the preset difference, or the difference between the load operation data and the corresponding benchmark operation data is less than the preset difference, it means that the comparison difference is small. At this time, an impending failure warning information will be generated, and the impending failure warning information may carry the corresponding performance data of the product under test and load operation data.

[0049] The performance detection system also stores different difference ranges corresponding to each fault type, and the maintenance difficulty level corresponding to each difference range; the difference range here refers to the range of the difference between the performance data of the tested product corresponding to the fault type and the corresponding benchmark performance data, or the load operation data and the corresponding benchmark operation data.

[0050] After determining that a fault exists, the performance detection system will determine the corresponding maintenance difficulty level (i.e., maintenance difficulty) based on the corresponding fault type and the difference calculated during the comparison process, and add the maintenance difficulty level to the detection information.

[0051] Optionally, the performance detection method also includes: Based on the performance data and load operation data of the tested product monitored in a specified historical period, a performance chart showing the change of data with the change of usage time is determined regularly, where usage time = monitoring time - factory date; Whenever a performance detection instruction is received, the remaining service life of the product under test is predicted and output based on the performance data of the product under test obtained through monitoring and the current performance reference map.

[0052] In implementation, monitoring time refers to the time when the performance detection system receives the performance monitoring instruction. This application defaults to the usage time of the tested product = monitoring time - factory date. The performance detection system will collect the performance data and load operation data of the tested product monitored by the corresponding performance detection instruction in the specified historical period at specified historical periods, and collect the aforementioned data according to the different usage times to generate a performance reference diagram. The performance reference diagram is used to indicate the data range of the tested product data corresponding to each tested product performance parameter after the tested product has been used for different usage times (such as three months / six months from the factory), and the data range of the load operation data corresponding to each load operation parameter.

[0053] Whenever a performance test instruction is received, the service life (hereinafter referred to as time A) can be determined based on the factory date contained in the performance test instruction, and then the service life (hereinafter referred to as time B) of the aforementioned data in the performance reference diagram can be determined based on the performance data and load operation data of the tested product obtained through monitoring. If it is finally determined that there is a fault, the remaining service life is 0; If there is no fault, further determination is made as follows to determine the remaining service life of the product under test: If duration B includes duration A, duration A is used as the basis to calculate the remaining service life = the preset total usage time - duration A.

[0054] If duration B does not include duration A, duration B is used as the basis to calculate the remaining service life = the preset total usage time - duration B.

[0055] The present application also discloses a performance detection system for a refrigerator controller. Figure 2 , the performance detection system of the refrigerator controller includes: The data monitoring module 1 is used to obtain the performance detection instruction, wherein the performance detection instruction includes at least the information of the product under test and the load information of the load electrically connected to the product under test; and monitor and obtain the performance data of the product under test and the load operation data; Data analysis module 2, used to compare the performance data of the tested product with the preset benchmark performance data, and to compare the load operation data with the preset benchmark operation data; The fault determination module 3 is used to determine whether a fault exists based on the comparison result. If so, it generates and outputs detection information with the fault type so that the detection personnel can know the detection information.

[0056] Optionally, the data monitoring module 1 is also used to monitor and obtain the performance data of the tested product and / or the load operation data corresponding to the target monitoring stage based on a preset first correspondence table whenever the target monitoring stage is reached; wherein the first correspondence table includes several monitoring stages, and the performance parameters of the tested product and the load operation parameters corresponding to each detection stage, the performance data of the tested product is the data corresponding to the performance parameters of the tested product, the load operation data is the data corresponding to the load operation parameters, and the target monitoring stage refers to any monitoring stage.

[0057] Optionally, it also includes a comparison order determination module, which is used to periodically determine the number of detection information generated corresponding to each preset fault type based on the generated detection information, and sort all the performance parameters of the tested products and load operation parameters according to the order of the generated numbers and a preset second correspondence table to obtain a comparison order; wherein the second correspondence table is used to store each preset fault type and its corresponding performance parameters of the tested product and / or load operation parameters.

[0058] The data monitoring module 1 is also used to monitor and obtain the performance data and load operation data of the tested product in sequence according to the current comparison order.

[0059] Optionally, the data monitoring module 1 is also used to monitor and obtain the performance data and load operation data of the tested product at a specified frequency, and add them to the monitoring data set.

[0060] The data analysis module 2 is also used to determine the maximum value of the performance data of the tested product in the monitoring data set at the current moment whenever new performance data of the tested product is added to the monitoring data set, and compare the maximum value of the performance data of the tested product with the preset benchmark performance data; wherein the maximum value of the performance data of the tested product refers to the maximum and minimum values ​​of the performance data of the tested product in the monitoring data set; and is also used to determine the maximum value of the load operation data in the monitoring data set at the current moment whenever new load operation data is added to the monitoring data set, and compare the maximum value of the load operation data with the preset benchmark operation data; wherein the maximum value of the load operation data refers to the maximum and minimum values ​​of the load operation data in the monitoring data set.

[0061] Optionally, it also includes a frequency adjustment module, which is used to determine the corresponding designated frequency as the second designated frequency if the maximum value of the tested product performance data or the maximum value of the load operation data determined has not changed within multiple adjacent monitoring times, and the difference between the unchanged tested product performance data or the maximum value of the load operation data and the corresponding benchmark performance data or the corresponding benchmark operation data is not less than a preset difference; and is also used to determine the corresponding designated frequency as the first designated frequency if the maximum value of the tested product performance data or the maximum value of the load operation data determined has changed multiple times within multiple adjacent monitoring times, and the difference between the tested product performance data that has changed multiple times and the corresponding benchmark performance data, or the difference between the load operation data that has changed multiple times and the corresponding benchmark operation data is less than a preset difference.

[0062] Optionally, a fault warning module is further included, which is used to generate and output impending fault warning information if there is no fault and the comparison difference corresponding to the comparison result is small; The fault determination module 3 is also used to generate detection information with fault types, and determine the maintenance difficulty based on the comparison difference size and fault type corresponding to the comparison result, add the maintenance difficulty to the corresponding detection information, and output the detection information.

[0063] Optionally, it also includes a remaining life prediction module, which is used to regularly determine a performance reference map showing changes in data as the usage time changes based on the performance data and load operation data of the tested product monitored during a specified historical period, where usage time = monitoring time - factory date; and is also used to predict and output the remaining service life of the tested product based on the performance data of the tested product obtained through monitoring and the current performance reference map whenever a performance detection instruction is received.

[0064] An embodiment of the present application also discloses a performance detection device for a refrigerator controller, which includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the performance detection method for the refrigerator controller as described above.

[0065] An embodiment of the present application also discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and executes the performance detection method of the refrigerator controller as described above. The computer-readable storage medium includes, for example: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0066] It should be noted that, in this document, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0067] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit the protection scope of the application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on these embodiments, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

Claims

1. A performance detection method for a refrigerator controller, characterized in that: include: Obtaining a performance detection instruction, wherein the performance detection instruction includes at least information of the product under test and load information of a load electrically connected to the product under test; Monitor and obtain the performance data and load operation data of the tested product; Comparing the tested product performance data with preset benchmark performance data, and comparing the load operation data with preset benchmark operation data; Based on the comparison result, it is determined whether a fault exists. If so, detection information with the fault type is generated and output so that the detection personnel can be informed of the detection information.

2. The performance detection method of the refrigerator controller according to claim 1, characterized in that: The monitoring results in the tested product performance data and load operation data including: Based on a preset first correspondence table, whenever the target monitoring stage is reached, the performance data of the tested product and / or the load operation data corresponding to the target monitoring stage are monitored and obtained; wherein, the first correspondence table includes several monitoring stages, and the performance parameters of the tested product and the load operation parameters corresponding to each detection stage, the performance data of the tested product is the data corresponding to the performance parameters of the tested product, the load operation data is the data corresponding to the load operation parameters, and the target monitoring stage refers to any monitoring stage.

3. The performance detection method of the refrigerator controller according to claim 2, characterized in that: The method further comprises: Based on the generated detection information, the number of detection information generated corresponding to each preset fault type is determined regularly, and all the performance parameters of the tested products and the load operation parameters are sorted according to the order of the generated numbers and the preset second correspondence table to obtain a comparison order; wherein the second correspondence table is used to store each preset fault type and its corresponding performance parameter of the tested product and / or load operation parameter; The monitoring obtains the performance data and load operation data of the tested product, including: According to the current comparison order, the performance data and load operation data of the tested product are monitored in sequence.

4. The performance detection method of a refrigerator controller according to claim 1, characterized in that: The monitoring results in the tested product performance data and load operation data including: Monitor the performance data and load operation data of the tested product at the specified frequency and add them to the monitoring data set; The comparing the tested product performance data with preset benchmark performance data, and the comparing the load operation data with preset benchmark operation data, includes: Whenever new performance data of the tested product is added to the monitoring data set, the maximum value of the performance data of the tested product in the monitoring data set at the current moment is determined, and the maximum value of the performance data of the tested product is compared with the preset benchmark performance data; wherein the maximum value of the performance data of the tested product refers to the maximum value and the minimum value of the performance data of the tested product in the monitoring data set; Whenever new load operation data is added to the monitoring data set, the maximum value of the load operation data in the monitoring data set at the current moment is determined, and the maximum value of the load operation data is compared with the preset benchmark operation data; wherein the maximum value of the load operation data refers to the maximum and minimum values ​​of the load operation data in the monitoring data set.

5. The performance detection method of the refrigerator controller according to claim 4, characterized in that: The designated frequency includes a first designated frequency and a second designated frequency, and the first designated frequency is higher than the second designated frequency; The method further comprises: If the maximum value of the measured product performance data or the maximum value of the load operation data determined does not change during multiple adjacent monitoring times, and the difference between the maximum value of the measured product performance data or the load operation data that has not changed and the corresponding benchmark performance data or the corresponding benchmark operation data is not less than the preset difference, the corresponding designated frequency is determined as the second designated frequency; If, within multiple adjacent monitoring times, the determined maximum performance data of the product under test or the maximum load operation data changes multiple times, and the difference between the performance data of the product under test that has changed multiple times and the corresponding benchmark performance data, or the difference between the maximum load operation data that has changed multiple times and the corresponding benchmark operation data is less than the preset difference, the corresponding designated frequency is determined as the first designated frequency.

6. The performance detection method of a refrigerator controller according to claim 1, characterized in that: The method further comprises: If there is no fault and the comparison difference corresponding to the comparison result is small, an impending fault warning message is generated and output; The generating and outputting the detection information with the fault type includes: Generate detection information with the fault type, and determine the maintenance difficulty based on the comparison difference size corresponding to the comparison result and the fault type, add the maintenance difficulty to the corresponding detection information, and output the detection information.

7. The performance detection method of a refrigerator controller according to claim 1, characterized in that: The performance test instruction also includes the production date of the tested product; The method further comprises: Based on the performance data and load operation data of the tested product monitored in a specified historical period, a performance reference diagram showing the change of data with the change of usage time is determined regularly, where the usage time = monitoring time - factory date; Whenever a performance detection instruction is received, the remaining service life of the product under test is predicted and output based on the performance data of the product under test obtained through monitoring and the current performance reference map.

8. A performance detection system for a refrigerator controller, characterized in that: include, A data monitoring module (1) is used to obtain a performance detection instruction, wherein the performance detection instruction at least includes information about a product under test and load information of a load electrically connected to the product under test; Monitor and obtain the performance data and load operation data of the tested product; A data analysis module (2), used to compare the performance data of the tested product with preset benchmark performance data, and to compare the load operation data with preset benchmark operation data; The fault determination module (3) is used to determine whether a fault exists based on the comparison result, and if so, to generate and output detection information with the fault type so that a detection personnel can obtain the detection information.

9. A performance detection device for a refrigerator controller, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any one of the methods according to claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute any one of the methods as claimed in claims 1 to 7.

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