Air conditioner fault detection method, device and storage medium

Abstract

The application discloses an air conditioner fault detection method and device and a storage medium, and the method comprises the following steps: acquiring a first working condition parameter group and a second working condition parameter group of an air conditioner; matching the first working condition parameter group and the second working condition parameter group with a fault parameter group in a preset database respectively to generate a matching result; and determining a fault probability of a component in the air conditioner that has occurred a fault according to the matching result. The application realizes accurate tracing of a component in the air conditioner that has occurred a fault, and accelerates the detection efficiency of air conditioner fault detection.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, and in particular to an air conditioner fault detection method, device and storage medium. Background Technology

[0002] The focus of national supervision and spot checks on household appliances is to examine whether product quality meets the requirements of relevant national standards from the consumer's perspective. As a product subject to mandatory national certification, air conditioners must undergo spot checks and certification before entering the market to ensure their compliance.

[0003] Random inspection and certification of air conditioners is essentially a process of testing for malfunctions before they enter the market, ensuring that the air conditioners sold meet the required standards. Traditionally, air conditioner inspections rely on manual methods, which depend on human experience to diagnose malfunctions. This approach is prone to misjudgment, thus affecting the accuracy of the inspections. Summary of the Invention

[0004] The main objective of this invention is to provide an air conditioner fault detection method, device, and storage medium, aiming to solve the technical problem that misjudging faults is easily caused by relying on human experience to determine air conditioner faults.

[0005] To achieve the above objectives, the present invention provides an air conditioner fault detection method, which includes the following steps:

[0006] Obtain a first set of operating condition parameters and a second set of operating condition parameters for the air conditioner, wherein the first operating condition parameter in the first set of operating condition parameters and the second operating condition parameter in the second set of operating condition parameters do not overlap;

[0007] The first operating condition parameter group and the second operating condition parameter group are respectively matched with the fault parameter group in the preset database to generate matching results;

[0008] The failure probability of the faulty component in the air conditioner is determined based on the matching results.

[0009] Optionally, the matching result includes at least one set of fault parameter matching data, and each set of fault parameter matching data includes a first fault parameter set that matches the first operating condition parameter set, and a second fault parameter set that matches the second operating condition parameter set.

[0010] Optionally, the step of matching the first set of operating condition parameters and the second set of operating condition parameters with fault parameter sets in a preset database includes:

[0011] Obtain the first parameter interval corresponding to the first working condition parameter in the first working condition parameter group and the second parameter interval corresponding to the second working condition parameter in the second working condition parameter group;

[0012] Compare the first parameter interval corresponding to the first operating condition parameter with the first fault parameter interval corresponding to the first fault parameter in the preset database, and compare the second parameter interval corresponding to the second operating condition parameter with the second fault parameter interval corresponding to the second fault parameter in the preset database;

[0013] When the first parameter range is the same as the first fault parameter range, it is determined that the first operating condition parameter matches the first fault parameter; and when the second parameter range is the same as the second fault parameter range, it is determined that the second operating condition parameter matches the second fault parameter.

[0014] Optionally, the step of obtaining the first parameter interval corresponding to the first operating condition parameter in the first operating condition parameter group and the second parameter interval corresponding to the second operating condition parameter in the second operating condition parameter group includes:

[0015] Obtain the preset threshold values ​​for the first and second operating conditions parameters;

[0016] The first parameter range corresponding to the first operating condition parameter is determined based on the first operating condition parameter threshold and the first operating condition parameter.

[0017] The second parameter range corresponding to the second operating condition parameter is determined based on the second operating condition parameter threshold and the second operating condition parameter.

[0018] Optionally, the step of determining the failure probability of the faulty component in the air conditioner based on the matching result includes:

[0019] Compare the first number of the first fault parameter in the first fault parameter group in each group of fault parameter matching data;

[0020] The fault probability is determined based on the fault parameter matching data of the first fault parameter group with the largest number.

[0021] Optionally, the step of determining the fault probability based on the fault parameter matching data of the first fault parameter group with the largest number includes:

[0022] When the first fault parameter group with the largest quantity is a single one, the fault probability is obtained based on each first fault parameter and each second fault parameter in the first fault parameter group with the largest quantity.

[0023] Optionally, the step of determining the fault probability based on the fault parameter matching data where the first fault parameter with the largest first quantity is located further includes:

[0024] When there are at least two first fault parameter groups with the largest first quantity, obtain the second fault parameter group in the fault parameter matching data where the first fault parameter group with the largest first quantity is located.

[0025] Compare the second number of the second fault parameters in the obtained second fault parameter group;

[0026] The fault probability is obtained based on the second fault parameter in the second fault parameter group with the largest second quantity and the first fault parameter in the first fault parameter group with the largest first quantity.

[0027] Optionally, after determining the failure probability of the faulty component in the air conditioner based on the matching result, the method further includes:

[0028] The fault parameter group in the preset database is updated based on the fault parameter matching data.

[0029] To achieve the above objectives, the present invention also provides a fault detection device, which includes a memory, a processor, and an air conditioner fault detection program stored in the memory and executable on the processor. When the air conditioner fault detection program is executed by the processor, it implements the various steps of the air conditioner fault detection method as described above.

[0030] In addition, the present invention also provides a storage medium storing an air conditioner fault detection program, which, when executed by a processor, implements the various steps of the air conditioner fault detection method as described above.

[0031] The technical solution for an air conditioner fault detection method, device, and storage medium provided in this application embodiment has at least the following technical effects or advantages:

[0032] This application adopts a technical solution that matches two different sets of operating condition parameters of the air conditioner with fault parameters in a preset database, and determines the failure probability of the faulty component in the air conditioner based on the matching results. This solves the technical problem that it is easy to misjudge the fault of the air conditioner by relying on human experience, and realizes accurate tracing of the faulty component of the air conditioner, thus speeding up the detection efficiency of air conditioner fault detection. Attached Figure Description

[0033] Figure 1 This is a schematic diagram of the hardware operating environment involved in the embodiments of the present invention;

[0034] Figure 2 This is a flowchart illustrating the first embodiment of the air conditioner fault detection method of the present invention;

[0035] Figure 3 This is a flowchart illustrating the second embodiment of the air conditioner fault detection method of the present invention;

[0036] Figure 4 This is a flowchart illustrating the third embodiment of the air conditioner fault detection method of the present invention;

[0037] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0038] To address the technical problem that relying on human experience to diagnose air conditioner malfunctions can easily lead to misjudgments, this application employs a technical solution that matches two different sets of operating condition parameters of the air conditioner with fault parameters in a preset database. Based on the matching results, the failure probability of the faulty component in the air conditioner is determined. This enables accurate tracing of the faulty component in the air conditioner and accelerates the detection efficiency of air conditioner malfunctions.

[0039] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0040] like Figure 1 As shown, Figure 1 This is a schematic diagram of the hardware operating environment involved in the embodiments of the present invention.

[0041] It should be noted that, Figure 1 This can be a schematic diagram of the hardware operating environment of the fault detection device.

[0042] like Figure 1 As shown, the fault detection device may include: a processor 1001, such as a CPU; a memory 1005; a user interface 1003; a network interface 1004; and a communication bus 1002. The communication bus 1002 is used to establish communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be high-speed RAM or stable non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0043] Those skilled in the art will understand that Figure 1 The fault detection device structure shown does not constitute a limitation on the fault detection device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0044] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and an air conditioner fault detection program. The operating system is a program that manages and controls the hardware and software resources of the fault detection device, as well as the operation of the air conditioner fault detection program and other software or programs.

[0045] exist Figure 1 In the fault detection device shown, the user interface 1003 is mainly used to connect to the terminal and communicate with the terminal; the network interface 1004 is mainly used to connect to the backend server and communicate with the backend server; the processor 1001 can be used to call the air conditioner fault detection program stored in the memory 1005.

[0046] In this embodiment, the fault detection device includes: a memory 1005, a processor 1001, and an air conditioner fault detection program stored in the memory 1005 and executable on the processor, wherein:

[0047] When processor 1001 calls the air conditioner fault detection program stored in memory 1005, it performs the following operations:

[0048] Obtain a first set of operating condition parameters and a second set of operating condition parameters for the air conditioner, wherein the first operating condition parameter in the first set of operating condition parameters and the second operating condition parameter in the second set of operating condition parameters do not overlap;

[0049] The first operating condition parameter group and the second operating condition parameter group are respectively matched with the fault parameter group in the preset database to generate matching results;

[0050] Based on the hardware architecture of the fault detection equipment described above, various embodiments of the air conditioner fault detection method of the present invention are proposed.

[0051] This invention provides an embodiment of an air conditioner fault detection method. It should be noted that although the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than that shown here. This air conditioner fault detection method is applied to the detection of faulty or problematic components in an air conditioner.

[0052] For ease of understanding, the terms used in the following embodiments are represented using terms related to the blue ball and the red ball, as follows:

[0053] The first operating condition parameter group is represented as the blue ball parameter group, the first operating condition parameter is represented as the blue ball, the second operating condition parameter group is represented as the red ball parameter group, the second operating condition parameter is represented as the red ball, the fault parameter group is represented as the fault red and blue ball parameter group, the fault parameter matching data is represented as the red and blue ball matching data, the first fault parameter group is represented as the fault blue ball parameter group, the second fault parameter group is represented as the fault red ball parameter group, the first parameter interval is represented as the blue ball parameter interval, the second parameter interval is represented as the red ball parameter interval, the first fault parameter interval is represented as the fault blue ball parameter interval, the second fault parameter interval is represented as the fault red ball parameter interval, the first operating condition parameter threshold is represented as the blue ball parameter threshold, and the second operating condition parameter threshold is represented as the red ball parameter threshold.

[0054] In the first embodiment, such as Figure 2 As shown, the air conditioner fault detection method proposed in this embodiment includes the following steps:

[0055] Step S210: Obtain the first operating condition parameter group and the second operating condition parameter group of the air conditioner.

[0056] In this example, both the blue ball parameter group and the red ball parameter group are sets of operating parameters for the air conditioner. The blue ball parameter group contains a first number of blue balls, and the red ball parameter group contains a second number of red balls. The blue balls in the blue ball parameter group are different from the red balls in the red ball parameter group; that is, the operating parameters in the two groups do not overlap. Both the blue ball parameter group and the red ball parameter group are collected from the operating air conditioner during fault detection of faulty components.

[0057] In this embodiment, the blue balls in the blue ball parameter group are the main operating parameters collected when detecting faults in air conditioner components, including at least the air conditioner's operating capacity, operating power, indoor unit airflow, indoor outlet dry-bulb temperature, and indoor outlet wet-bulb temperature. Considering the insufficient accuracy of using only the blue balls to identify faulty components in the air conditioner, a red ball is introduced in addition to the blue balls. The blue and red balls are used together to identify the faulty component under test, thereby improving the accuracy of the detection. Therefore, with the addition of the red ball to the blue ball parameter group, the red balls can be understood as auxiliary operating parameters for identifying the faulty component under test in the air conditioner, including at least the return air temperature, exhaust air temperature, indoor heat exchanger inlet temperature, indoor heat exchanger mid-section temperature, indoor heat exchanger outlet temperature, outdoor heat exchanger mid-section temperature, and outdoor heat exchanger outlet temperature.

[0058] Specifically, parameter acquisition devices, such as data acquisition sensors with different functions, are used to collect the first operating condition parameters and the second operating condition parameters, which are essentially the blue and red balls. Since there are multiple blue and red balls, to avoid confusion between the collected blue and red balls, the blue balls are grouped into the red ball parameter group, and the red balls are grouped into the blue ball parameter group. This embodiment pre-defines the classification rules for operating parameters, specifically setting corresponding operating parameter classification tables for the blue ball parameter group and the red ball parameter group. Each collected data point, including operating capacity, operating power, indoor unit airflow, indoor outlet dry-bulb temperature, and indoor outlet wet-bulb temperature, is written into the operating parameter classification table for the blue ball parameter group, arranged chronologically according to the collection time. Similarly, each collected data point, including return air temperature, exhaust temperature, indoor heat exchanger inlet temperature, indoor heat exchanger mid-section temperature, indoor heat exchanger outlet temperature, outdoor heat exchanger mid-section temperature, and outdoor heat exchanger outlet temperature, is written into the operating parameter classification table for the red ball parameter group, also arranged chronologically according to the collection time. The blue and red ball parameters are collected simultaneously, and after being written into their respective operating parameter classification tables, they are associated. For example, if blue ball B and red ball C are collected simultaneously at time A, and both are written into the operating condition parameter classification table, the operating condition parameters collected at time A will be blue ball B and red ball C. After associating them, once all blue balls are obtained, all associated red balls can also be obtained. For instance, after obtaining blue ball B corresponding to time A, red ball C corresponding to time A will also be obtained, or vice versa. This avoids the problem of missing operating condition parameters when identifying the faulty component in the air conditioner using blue ball parameter groups and red ball parameter groups.

[0059] Step S220: Match the first operating condition parameter group and the second operating condition parameter group with the fault parameter group in the preset database respectively to generate matching results.

[0060] In this example, a pre-set database is used to compare the test components with the blue ball parameter set and red ball parameter set obtained from the air conditioner under test to identify the faulty component in the air conditioner. The pre-set database stores a large number of fault red and blue ball parameter sets. Each fault red and blue ball parameter set includes a fault blue ball parameter set and a fault red ball parameter set. Each fault blue ball parameter set has a first number of first fault parameters, which correspond to the blue balls and include at least the operating capacity, operating power, indoor unit air volume, indoor outlet dry bulb temperature, and indoor outlet wet bulb temperature. The second fault parameters correspond to the red balls and include at least the return air temperature, exhaust air temperature, indoor heat exchanger inlet temperature, indoor heat exchanger middle temperature, indoor heat exchanger outlet temperature, outdoor heat exchanger middle temperature, and outdoor heat exchanger outlet temperature. Among them, the first fault parameter and the second fault parameter are the operating condition parameters corresponding to the failure of components in the air conditioner in the past. Each fault red and blue ball parameter group is set with a corresponding fault probability (refer to Table 4 below). Each fault red and blue ball parameter group is associated with at least one faulty component and the influencing factors that cause the fault. In the past operation of the air conditioner, the operating condition parameters corresponding to the failure of components in the air conditioner were collected, and the operating condition parameters, components and influencing factors that cause the fault were associated and stored to form the preset database.

[0061] After obtaining the blue ball parameter group and the red ball parameter group, both are simultaneously matched with each faulty red and blue ball parameter group in the preset database. Specifically, the blue ball parameter group is compared with the first fault parameter group in each faulty red and blue ball parameter group, and the red ball parameter group is compared with the second fault parameter group in each faulty red and blue ball parameter group. This involves comparing the operating capacity, operating power, indoor unit airflow, indoor outlet dry bulb temperature, and indoor outlet wet bulb temperature in the blue ball parameter group with the operating capacity and power in the faulty blue ball parameter group. The indoor unit airflow, indoor outlet dry bulb temperature, and indoor outlet wet bulb temperature are compared. The return air temperature, exhaust air temperature, indoor heat exchanger inlet temperature, indoor heat exchanger mid-section temperature, indoor heat exchanger outlet temperature, outdoor heat exchanger mid-section temperature, and outdoor heat exchanger outlet temperature in the red ball parameter group are also compared with the return air temperature, exhaust air temperature, indoor heat exchanger inlet temperature, indoor heat exchanger mid-section temperature, indoor heat exchanger outlet temperature, outdoor heat exchanger mid-section temperature, and outdoor heat exchanger outlet temperature in the faulty red ball parameter group.

[0062] Furthermore, after simultaneously matching the blue ball parameter group and the red ball parameter group with each faulty red and blue ball parameter group in the preset database, the matching result is output. This matching result includes at least one set of fault parameter matching data, and each set includes a first fault parameter group matched with the first operating condition parameter group and a second fault parameter group matched with the second operating condition parameter group. In other words, the matching result includes one or more sets of red and blue ball matching data, and each set includes the following data: faulty blue ball parameter group matched with the blue ball parameter group, and faulty red ball parameter group matched with the red ball parameter group—that is, faulty red and blue ball parameter groups matched with both the blue and red ball parameter groups. If at least one blue ball in the blue ball parameter group matches at least one first fault parameter in the faulty blue ball parameter group, then the faulty blue ball parameter group is called a faulty blue ball parameter group matched with the blue ball parameter group. Similarly, if at least one red ball in the red ball parameter group matches at least one second fault parameter in the faulty red ball parameter group, then the faulty red ball parameter group is called a faulty red ball parameter group matched with the red ball parameter group. It should be noted that the first fault parameter included in the faulty blue ball parameter group that matches the blue ball parameter group may be all or some of the fault parameters included in that faulty blue ball parameter group. Similarly, the second fault parameter included in the faulty red ball parameter group that matches the red ball parameter group may be all or some of the fault parameters included in that faulty red ball parameter group.

[0063] In this embodiment, for ease of understanding, each first fault parameter in the fault blue ball parameter group is also represented as a blue ball, and each second fault parameter in the fault red ball parameter group is also represented as a red ball. Since both the blue ball parameter group and the fault blue ball parameter group include operating capacity, operating power, indoor unit airflow, indoor outlet dry-bulb temperature, and indoor outlet wet-bulb temperature, the blue ball parameter group includes 5 blue balls, and each fault blue ball parameter group also includes 5 blue balls. Similarly, the red ball parameter group and each fault red ball parameter group include return air temperature, exhaust air temperature, indoor heat exchanger inlet temperature, indoor heat exchanger mid-section temperature, indoor heat exchanger outlet temperature, outdoor heat exchanger mid-section temperature, and outdoor heat exchanger outlet temperature; therefore, the red ball parameter group includes 7 red balls, and each fault red ball parameter group also includes 7 red balls.

[0064] For example, if one blue ball in the blue ball parameter group (which represents operating power) matches one blue ball in a faulty blue ball parameter group in the preset database (which also represents operating power), then this faulty blue ball parameter group is called a faulty blue ball parameter group that matches the blue ball parameter group. If two blue balls in the blue ball parameter group (which represent operating power and indoor unit airflow, respectively) match two blue balls in another faulty blue ball parameter group in the preset database (which also represent operating power and indoor unit airflow, respectively), then this faulty blue ball parameter group is called a faulty blue ball parameter group that matches the blue ball parameter group. If two red balls in the red ball parameter group (which represent return air temperature and exhaust air temperature, respectively) match two red balls in a faulty red ball parameter group in the preset database (which also represent return air temperature and exhaust air temperature, respectively), then this faulty red ball parameter group is called a faulty red ball parameter group that matches the red ball parameter group.

[0065] Furthermore, the blue ball parameter group and the red ball parameter group are matched with the fault red and blue ball parameter groups in the preset database, respectively. This can be understood as matching the 5 blue balls in the blue ball parameter group and the 7 red balls in the red ball parameter group with the 5 blue balls and 7 red balls in each fault red and blue ball parameter group in the preset database. The matching results may have various cases, as shown in the following tables. In the table, "0" indicates that no blue or red ball was matched, and "1" indicates that a blue or red ball was matched. The blue ball items, from left to right, can be operating capacity, operating power, indoor unit air volume, indoor outlet dry bulb temperature, and indoor outlet wet bulb temperature. The red ball items, from left to right, can be return air temperature, exhaust temperature, indoor heat exchanger inlet temperature, indoor heat exchanger middle temperature, indoor heat exchanger outlet temperature, outdoor heat exchanger middle temperature, and outdoor heat exchanger outlet temperature. In this embodiment, the parameter order of the blue and red ball items from left to right is not limited.

[0066] Specifically, if a blue or red ball is matched from one of the faulty red-blue ball parameter groups, the count of the matched blue or red balls is incremented by 1, and the corresponding "0" in the matched blue or red ball entry is changed to "1". The sorting method for blue and red balls in each table is that blue balls have a higher priority than red balls; that is, they are first sorted by the number of blue balls, and then, based on the blue ball count, they are sorted by the number of red balls. As shown in Table 1, when the counts of matched blue balls are all different, the group with more blue balls ranks higher; as shown in Table 2, when at least two groups of matched blue balls have the same count, the group with more red balls ranks higher. It should be noted that the sorting method for blue and red balls can be the above method or other methods; this embodiment does not impose a specific limitation.

[0067] Table 1

[0068] Serial Number Matched blue ball Matched red ball Blue and red ball sorting 1 1 1 1 1 0 1 1 0 1 1 0 0 4 blue 4 red 2 0 1 1 1 0 1 1 0 1 0 0 1 3 blue 4 red 3 1 0 1 0 0 0 1 1 0 1 0 2 blue 3 red 4 0 1 0 0 0 1 1 0 1 0 0 0 1 blue 3 red ... ... ... ...

[0069] Table 2

[0070] Serial Number Matched blue ball Matched red ball Blue and red ball sorting 1 1 1 1 1 0 1 1 0 1 0 0 0 4 blue 3 red 2 1 1 0 1 1 1 1 0 0 0 0 0 4 blue 2 red 3 1 0 1 1 0 0 1 1 0 1 0 0 3 blue 3 red 4 0 1 0 1 0 1 1 0 1 0 0 0 2 blue 3 red ... ... ... ...

[0071] Table 3

[0072] Serial Number Matched blue ball Matched red ball Blue and red ball sorting 1 1 0 1 1 1 1 1 0 0 0 1 0 4 blue 3 red 2 0 1 1 1 1 1 0 1 0 0 1 0 4 blue 3 red 3 1 0 1 1 0 0 1 1 0 1 1 0 3 blue 4 red 4 0 1 0 1 0 1 1 0 1 1 1 0 2 blue 5 red ... ... ... ...

[0073] Step S230: Determine the failure probability of the faulty component in the air conditioner based on the matching result.

[0074] In this embodiment, the faulty component in the air conditioner is the tested component that has malfunctioned. Each fault red and blue ball parameter group in the preset database is set with a corresponding fault probability and is associated with one or more faulty components. After generating the matching results, the fault probability of the tested component in the air conditioner is determined based on the matching results.

[0075] Table 4

[0076]

[0077] Referring to Table 4, which is a table of fault probabilities for each fault red-blue ball parameter group in the preset database, B represents the number of blue balls in each matched fault red-blue ball parameter group, R represents the number of red balls in each matched fault red-blue ball parameter group, and η represents the fault probability. Table 4 is set with 5 blue balls and 7 red balls. When matching according to the blue ball parameter group and the red ball parameter group, there are 47 matching cases. The fault probability corresponding to each matching case is set by the fault probability calculation formula: η=(8B+R) / 47.

[0078] Specifically, the process of determining the failure probability of the tested component in the air conditioner based on the matching results is as follows:

[0079] Determine whether each matched set of fault red and blue ball parameters is associated with one or more faulty components. If it is one, determine which component in the tested component has failed and its failure probability based on the faulty component associated with the faulty red and blue ball parameter set and the corresponding failure probability in Table 4. If it is multiple, determine which components in the tested component have failed and their failure probability based on the faulty component associated with the faulty red and blue ball parameter set, the number of faulty components, and the corresponding failure probability in Table 4.

[0080] For example, if the matched fault red and blue ball parameter group is associated with faulty component A0, and the matched group is 4 blue and 3 red, then the probability that the faulty component under test is component A0 is 35 / 47. If fault red and blue ball parameter group A1 and fault red and blue ball parameter group B1 are matched, and fault red and blue ball parameter group A1 is associated with faulty component A2, and fault red and blue ball parameter group B1 is associated with faulty component B2, and the matched group is 4 blue and 3 red, then the probability that the faulty component under test is component A2 is 35 / 94, and the probability that the faulty component under test is component B2 is also 35 / 94. If faulty red-blue ball parameter group A3 and faulty red-blue ball parameter group B3 are matched, and faulty red-blue ball parameter group A3 is associated with faulty components A4 and A5, and faulty red-blue ball parameter group B3 is associated with faulty components B4 and B5, and two sets of 4 blue and 3 red are matched, then the probability that the faulty tested component is faulty component A4 is 35 / 188, the probability that the faulty tested component is faulty component A5 is 35 / 188, and the probability that the faulty tested component is faulty component A5 is 35 / 188. The probability of the tested component being faulty component B4 is 35 / 188, and the probability of the tested component being faulty component B5 is 35 / 188. If faulty component A4 and faulty component B4 are the same, then the probability of the tested component being faulty component A4 or faulty component B4 is 35 / 94, the probability of the tested component being faulty component A5 is 35 / 188, and the probability of the tested component being faulty component B5 is 35 / 188.

[0081] Furthermore, after determining the failure probability of the tested component, a fault detection list is generated based on the matching results and the matched red and blue ball parameter groups. This list not only displays the specific matching of the blue and red balls using one of the methods described in Tables 1, 2, and 3 above, but also shows the component name, failure probability, and influencing factors for each matched blue and red ball. For example, the fault detection list might show a set of data: 4 blue balls and 3 red balls matched, indicating the compressor is the faulty component with a failure probability of 35 / 47, and the influencing factor is insufficient refrigerant. Therefore, the personnel responsible for testing the air conditioner can visually see which component(s) in the air conditioner have failed, allowing them to troubleshoot and repair the air conditioner accordingly. Specifically, when the blue ball parameter group and red ball parameter group are matched with each faulty red and blue ball parameter group in the preset database, if the matching result is 0 blue and 0 red, it indicates that there is an error in the blue ball parameter group and red ball parameter group being matched, and they cannot be matched with each faulty red and blue ball parameter group in the preset database, or that the faulty red and blue ball parameter groups in the preset database that can be matched with the blue ball parameter group and red ball parameter group are missing or have errors. When the above situations occur, an alarm message is issued to prompt the staff to check the blue ball parameter group and red ball parameter group or the preset database in a timely manner.

[0082] This embodiment employs a technique of matching the first and second operating condition parameter groups of the air conditioner with fault parameter groups in a preset database, and determining the fault probability of the tested component in the air conditioner based on the matching results. This technique enables accurate tracing of the faulty tested component in the air conditioner and accelerates the detection efficiency of air conditioner fault detection.

[0083] like Figure 3 As shown, this invention relates to a second embodiment of the air conditioner fault detection method proposed in the first embodiment above. In this embodiment, the step of matching the first operating condition parameter group and the second operating condition parameter group with fault parameter groups in a preset database includes:

[0084] Step S221: Obtain the first parameter interval corresponding to the first operating condition parameter in the first operating condition parameter group and the second parameter interval corresponding to the second operating condition parameter in the second operating condition parameter group.

[0085] Step S222: Compare the first parameter interval corresponding to the first operating condition parameter with the first fault parameter interval corresponding to the first fault parameter in the preset database, and compare the second parameter interval corresponding to the second operating condition parameter with the second fault parameter interval corresponding to the second fault parameter in the preset database.

[0086] Step S223: When the first parameter range is the same as the first fault parameter range, determine that the first operating condition parameter matches the first fault parameter; and when the second parameter range is the same as the second fault parameter range, determine that the second operating condition parameter matches the second fault parameter.

[0087] Because air conditioners have multiple operating states, the operating parameters corresponding to the tested components that malfunction under different operating states are not necessarily the same. Therefore, to ensure that the blue and red ball parameter sets obtained from different operating states can be matched with the fault red and blue ball parameter sets under the same operating state in the preset database, this embodiment, after obtaining the blue and red ball parameter sets, marks them respectively, that is, marks which operating state the blue and red ball parameter sets were obtained from. For example, if both the blue and red ball parameter sets are marked as cooling state, it means that the blue and red ball parameter sets were obtained from the cooling state. When matching with the fault red and blue ball parameter sets in the preset database, the matching is specifically performed with the fault red and blue ball parameter sets corresponding to the air conditioner's cooling state. It should be noted that when setting the preset database, the working status of each fault red and blue ball parameter group is also marked according to the corresponding working status when the air conditioner malfunctioned in the past. That is, the fault blue ball parameter group and the fault red ball parameter group are marked separately to facilitate matching with the blue ball parameter group and red ball parameter group obtained under the same working status.

[0088] Furthermore, while ensuring that the blue ball parameter group and red ball parameter group in any working state match the faulty red and blue ball parameter group in the corresponding working state, this embodiment also needs to obtain the blue ball parameter range corresponding to the blue ball in the blue ball parameter group and the red ball parameter range corresponding to the red ball in the red ball parameter group. Specifically, the blue ball parameter range corresponding to the blue ball needs to be compared with the faulty blue ball parameter range corresponding to each blue ball in the preset database. Similarly, the red ball parameter range corresponding to the red ball needs to be compared with the faulty red ball parameter range corresponding to each red ball in the preset database. For example, if the blue ball parameter range corresponding to blue ball 1 in the blue ball parameter group is the same as the faulty blue ball parameter range corresponding to one of the blue balls 2 in the preset database, then blue ball 1 is determined to match blue ball 2. Similarly, if the red ball parameter range corresponding to any red ball 1 in the red ball parameter group is the same as the faulty red ball parameter range corresponding to one of the red balls 2 in the preset database, then red ball 1 is determined to match red ball 2.

[0089] Furthermore, the steps of obtaining the first parameter interval corresponding to the first operating condition parameter in the first operating condition parameter group and the second parameter interval corresponding to the second operating condition parameter in the second operating condition parameter group include:

[0090] Obtain the preset threshold values ​​for the first and second operating conditions.

[0091] The first parameter range corresponding to the first operating condition parameter is determined based on the first operating condition parameter threshold and the first operating condition parameter.

[0092] The second parameter range corresponding to the second operating condition parameter is determined based on the second operating condition parameter threshold and the second operating condition parameter.

[0093] The blue ball parameter threshold is used to determine the blue ball's parameter range, and the red ball parameter threshold is used to determine the red ball's parameter range. The blue ball parameter threshold includes at least one sub-blue ball parameter threshold, and similarly, the red ball parameter threshold includes at least one sub-red ball parameter threshold. Using at least one sub-blue ball parameter threshold, the blue ball parameter range can be divided into at least two sub-blue ball parameter ranges, and using at least one sub-red ball parameter threshold, the red ball parameter range can be divided into at least two sub-red ball parameter ranges. For example, if the blue ball parameter thresholds include X1 and X2, and X1 is greater than X2, then the blue ball parameter range is divided into three sub-blue ball parameter ranges: (+∞, X1), [X1, X2], and (X2, -∞). Similarly, if the red ball parameter thresholds include Y1 and Y2, and Y1 is greater than Y2, then the red ball parameter range is divided into three sub-red ball parameter ranges: (+∞, Y1), [Y1, Y2], and (Y2, -∞).

[0094] Once the parameter ranges for each sub-blue ball and sub-red ball are determined, it becomes clear which sub-blue ball parameter range a blue ball in the blue ball parameter group belongs to, and which sub-red ball parameter range a red ball in the red ball parameter group belongs to. Then, the sub-blue ball parameter range to which the blue ball belongs is compared with the corresponding sub-fault blue ball parameter ranges for each blue ball in the preset database, and the sub-red ball parameter range to which the red ball belongs is compared with the corresponding sub-fault red ball parameter ranges for each red ball in the preset database. If the sub-blue ball parameter range is the same as the sub-fault blue ball parameter range corresponding to one of the blue balls in the preset database, then the blue ball in the blue ball parameter group matches the blue ball in the fault blue ball parameter group. Similarly, if the sub-red ball parameter range is the same as the sub-fault red ball parameter range corresponding to one of the red balls in the preset database, then the red ball in the red ball parameter group matches the red ball in the fault red ball parameter group. In this system, the sub-blue ball fault parameter ranges corresponding to each blue ball and the sub-red ball fault parameter ranges corresponding to each red ball in the preset database are all pre-defined. Furthermore, the sub-blue ball fault parameter ranges correspond to the same sub-blue ball parameter ranges, and the sub-red ball fault parameter ranges correspond to the same sub-red ball parameter ranges. For example, the sub-blue ball fault parameter ranges include (+∞, X1), [X1, X2], and (X2, -∞), and the sub-red ball fault parameter ranges include (+∞, Y1), [Y1, Y2], and (Y2, -∞). If a blue ball in a blue ball parameter group belongs to (+∞, X1), and similarly, a blue ball in another fault blue ball parameter group also belongs to (+∞, X1), then they match, meaning that this fault blue ball parameter group is a fault blue ball parameter group that matches this blue ball parameter group.

[0095] This embodiment improves the matching speed and accuracy of operating parameters by adopting the above-described scheme.

[0096] like Figure 4 As shown, this invention provides a third embodiment of the air conditioner fault detection method based on the first embodiment described above. In this embodiment, the step of determining the fault probability of the faulty component in the air conditioner based on the matching result includes:

[0097] Step S231: Compare the first number of the first fault parameter in the first fault parameter group in the fault parameter matching data of each group.

[0098] In this embodiment, after generating a fault detection list of the tested components that have malfunctioned in the tested air conditioner based on the matching results and the matched fault red and blue ball parameter groups, in order to obtain the tested components with the highest fault probability in the fault detection list, it is necessary to filter each group of data in the fault detection list. That is, firstly, compare the first number of blue balls in the fault blue ball parameter group in each group of red and blue ball matching data in the matching results, and then select the fault blue ball parameter group with the largest first number. That is, compare the number of blue balls in the fault red and blue ball parameter group in each group of red and blue ball matching data, and then select at least one group of red and blue ball matching data with the largest number of matched blue balls. Referring to Tables 1, 2 and 3 above, the selected at least one group of red and blue ball matching data with the largest number of blue balls corresponds to one case in Table 1, that is, a group of 4 blue and 4 red balls is selected; another case corresponds to Table 2, that is, a group of 4 blue and 3 red balls is selected; and yet another case corresponds to Table 3, that is, two groups of 4 blue and 3 red balls are selected. Since different sets of blue ball parameters and red ball parameters may produce different matching results, the data with the largest number of blue balls selected based on different matching results may also vary, and these are not listed one by one in this embodiment.

[0099] Step S232: Determine the fault probability based on the fault parameter matching data of the first fault parameter group with the largest quantity.

[0100] In this embodiment, based on the first largest number of fault blue ball parameter group selected, the red-blue ball matching data of the first largest number of fault blue ball parameter group is determined, and the failure probability of the tested component in the air conditioner that has failed is further determined based on the determined red-blue ball matching data.

[0101] Furthermore, the step of determining the fault probability based on the fault parameter matching data of the first fault parameter group with the largest quantity includes:

[0102] When the first fault parameter group with the largest quantity is a single one, the fault probability array is obtained based on each first fault parameter and each second fault parameter in the first fault parameter group with the largest quantity.

[0103] The system determines whether the first group of faulty blue ball parameters with the largest number is a single one or at least two. If the first group of faulty blue ball parameters with the largest number is a single one, it means that the number of blue balls in each group of fault parameter matching data in the matching results is different. In this case, the red-blue ball matching data with the largest number of blue balls is selected. Then, based on the number of blue balls and the number of red balls in the selected red-blue ball matching data, the system determines the failure probability of the tested component in the air conditioner and the influencing factors that cause the failure. The system outputs the tested component, failure probability, and influencing factors that cause the failure, determined by the selected red-blue ball matching data. For example, if the selected red and blue ball matching data contains 4 blue balls and 3 red balls, and the matched faulty red and blue ball parameter group is associated with faulty component A0 and the influencing factor is M0, then the probability that the tested component with the fault is faulty component A0 is 35 / 47, and the influencing factor is M0. If the matched faulty red and blue ball parameter group is associated with faulty component A0 and influencing factor M0, and faulty component A1 and influencing factor M1, then the probability that the tested component with the fault is faulty component A0 is 35 / 94, and the influencing factor is M0. The probability that the tested component with the fault is faulty component A1 is also 35 / 94, and the influencing factor is M1.

[0104] Furthermore, the step of determining the fault probability based on the fault parameter matching data containing the first fault parameter with the largest first quantity also includes:

[0105] When there are at least two first fault parameter groups with the largest first quantity, obtain the second fault parameter group in the fault parameter matching data where the first fault parameter group with the largest first quantity is located.

[0106] Compare the second number of the second fault parameters in the obtained second fault parameter group;

[0107] The fault probability is obtained based on the second fault parameter in the second fault parameter group with the largest second quantity and the first fault parameter in the first fault parameter group with the largest first quantity.

[0108] When the first group of faulty blue ball parameters with the largest number is determined to be at least two, it indicates that at least two groups of blue balls in the faulty blue ball parameter groups included in each group of red and blue ball matching data in the matching results are the same, and the remaining blue ball numbers are different. Since blue balls have a higher priority than red balls, it is necessary to first select at least two sets of red-blue ball matching data containing the faulty blue ball parameter group with the largest number of blue balls. Then, obtain the second number of red balls from the faulty red ball parameter group in each set of red-blue ball matching data. By comparing the second number of red balls in each set of faulty red ball parameter groups, i.e., comparing the number of red balls in the faulty red ball parameter group, the faulty red ball parameter group with the largest second number is determined. Then, based on the number of red balls in the faulty red ball parameter group with the largest number of red balls and the number of blue balls in the faulty blue ball parameter group in the red-blue ball matching data containing that faulty red ball parameter group, the tested component, fault probability, and influencing factors that have malfunctioned in the air conditioner are jointly determined, and the results are output. These results are the tested component, fault probability, and influencing factors that have malfunctioned, determined by the selected red-blue ball matching data.

[0109] For example, if there are two sets of red-blue ball matching data for the faulty blue ball parameter group with the most blue balls, including red-blue ball matching data C and red-blue ball matching data D, and the number of red balls in red-blue ball matching data C is greater than the number of red balls in red-blue ball matching data D, then based on the number of blue balls and red balls in red-blue ball matching data C, the tested component in the air conditioner that has failed, the probability of failure, and the influencing factors that caused the failure can be determined. For example, if the matched parameters are 4 blue and 3 red, and the matched faulty red and blue ball parameter group is associated with faulty component A0 and the influencing factor is M0, then the probability that the tested component with the fault is faulty component A0 is 35 / 47, and the influencing factor is M0; if the matched faulty red and blue ball parameter group is associated with faulty component A0 and influencing factor M0, and faulty component A1 and influencing factor M1, then the probability that the tested component with the fault is faulty component A0 is 35 / 94, and the influencing factor is M0; the probability that the tested component with the fault is faulty component A1 is 35 / 94, and the influencing factor is M1.

[0110] When the faulty blue ball parameter group with the most blue balls has two sets of red-blue ball matching data, including red-blue ball matching data E and red-blue ball matching data F, and the number of red balls in red-blue ball matching data E and red-blue ball matching data F are the same, then based on the number of blue balls and red balls in red-blue ball matching data E and red-blue ball matching data F, the tested component, fault probability, and influencing factors that have failed in the air conditioner are jointly determined, and the results are output. This result is the tested component, fault probability, and influencing factors that have failed, determined by the selected red-blue ball matching data. For example, if the number of blue balls and red balls in the red-blue ball matching data E is the same as the number of blue balls and red balls in the red-blue ball matching data F, that is, the matched data is 4 blue and 3 red. If the faulty red-blue ball parameter group corresponding to the red-blue ball matching data E is associated with the faulty component A0 and the influencing factor is M0, and the faulty red-blue ball parameter group corresponding to the red-blue ball matching data F is associated with the faulty component A1 and the influencing factor is M1, then the probability that the faulty component under test is the faulty component A0 is 35 / 94, and the influencing factor is M0. The probability that the faulty component under test is the faulty component A1 is 35 / 94, and the influencing factor is M1.

[0111] Similarly, the number of red balls in red-blue ball matching data E is the same as the number of red balls in red-blue ball matching data F, that is, both are 4 blue and 3 red. If the faulty red-blue ball parameter group corresponding to red-blue ball matching data E is associated with faulty component A0 and influencing factor M0, and faulty component A1 and influencing factor M1, and the faulty red-blue ball parameter group corresponding to red-blue ball matching data F is associated with faulty component A2 and influencing factor M2, and faulty component A3 and influencing factor M3, then the probability of the faulty tested component being faulty component A0 is 35 / 188, with influencing factor M0; the probability of the faulty tested component being faulty component A1 is 35 / 188, with influencing factor M1; the probability of the faulty tested component being faulty component A2 is 35 / 188, with influencing factor M2; and the probability of the faulty tested component being faulty component A3 is 35 / 188, with influencing factor M3.

[0112] In this embodiment, by adopting the above-described scheme, the faulty components in the air conditioner can be quickly screened.

[0113] Furthermore, after determining the failure probability of the faulty component in the air conditioner based on the matching result, the method further includes:

[0114] The fault parameter group in the preset database is updated based on the fault parameter matching data.

[0115] In this example, after filtering out at least one set of red-blue ball matching data with the highest number of blue balls and red balls, the preset database is updated using the filtered red-blue ball matching data. That is, the faulty red-blue ball parameter group in the red-blue ball matching data replaces the corresponding faulty red-blue ball parameter group in the preset database. For example, if the filtered red-blue ball matching data includes faulty red-blue ball parameter group A, then faulty red-blue ball parameter group A corresponds to faulty red-blue ball parameter group B in the preset database. Assume that fault red-blue ball parameter group A has 3 blue balls and 2 red balls, where the 3 blue balls represent operating capacity, operating power, and indoor unit airflow, and the 2 red balls represent return air temperature and exhaust air temperature. Fault red-blue ball parameter group B also has 3 blue balls and 2 red balls, where the 3 blue balls represent operating capacity, operating power, and indoor unit airflow, and the 2 red balls represent return air temperature and exhaust air temperature. Then, by replacing the 3 blue balls in fault red-blue ball parameter group B with the 3 blue balls in fault red-blue ball parameter group A, and by replacing the 2 red balls in fault red-blue ball parameter group B with the 2 red balls in fault red-blue ball parameter group A, the preset database can be updated.

[0116] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for detecting faults in an air conditioner, characterized in that, The air conditioner fault detection method includes the following steps: Acquire a first set of operating condition parameters and a second set of operating condition parameters for the air conditioner. The first operating condition parameters in the first set of operating condition parameters and the second operating condition parameters in the second set of operating condition parameters do not overlap. The second operating condition parameters in the second set of operating condition parameters are auxiliary operating condition parameters for determining the tested component that has malfunctioned in the air conditioner. The first operating condition parameter group and the second operating condition parameter group are respectively matched with the fault parameter group in the preset database to generate a matching result. The matching result includes at least one set of fault parameter matching data, and each set of fault parameter matching data includes a first fault parameter group that matches the first operating condition parameter group and a second fault parameter group that matches the second operating condition parameter group. In the matching result, if a first fault parameter or a second fault parameter in one of the fault parameter groups is matched, the number of the first fault parameter or the second fault parameter matched is incremented by 1. The first fault parameter and the second fault parameter are sorted in such a way that the priority of the first fault parameter is greater than the priority of the second fault parameter. Compare the first number of the first fault parameter in the first fault parameter group in each group of fault parameter matching data; When the first fault parameter group with the largest number is a single one, the failure probability of the component that malfunctions in the air conditioner is obtained based on each first fault parameter and each second fault parameter in the first fault parameter group with the largest number. When there are at least two first fault parameter groups with the largest first quantity, obtain the second fault parameter group in the fault parameter matching data where the first fault parameter group with the largest first quantity is located. Compare the second number of the second fault parameters in the obtained second fault parameter group; The failure probability of the component that malfunctions in the air conditioner is obtained based on the second fault parameter in the second fault parameter group with the largest second quantity and the first fault parameter in the first fault parameter group with the largest first quantity.

2. The air conditioner fault detection method as described in claim 1, characterized in that, The step of matching the first operating condition parameter group and the second operating condition parameter group with fault parameter groups in a preset database includes: Obtain the first parameter interval corresponding to the first working condition parameter in the first working condition parameter group and the second parameter interval corresponding to the second working condition parameter in the second working condition parameter group; Compare the first parameter interval corresponding to the first operating condition parameter with the first fault parameter interval corresponding to the first fault parameter in the preset database, and compare the second parameter interval corresponding to the second operating condition parameter with the second fault parameter interval corresponding to the second fault parameter in the preset database; When the first parameter range is the same as the first fault parameter range, it is determined that the first operating condition parameter matches the first fault parameter; and when the second parameter range is the same as the second fault parameter range, it is determined that the second operating condition parameter matches the second fault parameter.

3. The air conditioner fault detection method as described in claim 2, characterized in that, The step of obtaining the first parameter interval corresponding to the first operating condition parameter in the first operating condition parameter group and the second parameter interval corresponding to the second operating condition parameter in the second operating condition parameter group includes: Obtain the preset threshold values ​​for the first and second operating conditions parameters; The first parameter range corresponding to the first operating condition parameter is determined based on the first operating condition parameter threshold and the first operating condition parameter. The second parameter range corresponding to the second operating condition parameter is determined based on the second operating condition parameter threshold and the second operating condition parameter.

4. The air conditioner fault detection method as described in claim 1, characterized in that, After obtaining the failure probability of the faulty component in the air conditioner, the method further includes: The fault parameter group in the preset database is updated based on the fault parameter matching data.

5. A fault detection device, characterized in that, The fault detection device includes a memory, a processor, and an air conditioner fault detection program stored in the memory and executable on the processor. When the air conditioner fault detection program is executed by the processor, it implements the various steps of the air conditioner fault detection method as described in any one of claims 1 to 4.

6. A storage medium, characterized in that, The storage medium stores an air conditioner fault detection program, which, when executed by a processor, implements the various steps of the air conditioner fault detection method as described in any one of claims 1 to 4.

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