Automatic testing method, device and equipment for air conditioning controller

Abstract

This application relates to the field of air conditioner controller testing technology, specifically to an automated testing method, apparatus, and equipment for air conditioner controllers. The method includes: collecting operating parameters of each control structure in the air conditioner controller; obtaining control deviation based on the difference between the operating parameters of each control structure and the rated operating value; determining whether the initial test of each control structure is qualified; acquiring operating state segments of each control structure; obtaining continuous deviation characteristic values ​​based on the length and numerical characteristics of the operating state segments; obtaining control difference values ​​based on the difference in continuous deviation characteristic values ​​and the difference in the number of data points between adjacent operating state segments; and obtaining the operating qualification recognition degree by combining the number of operating parameters and the number of operating state segments within a preset time period, thereby performing automated testing on the air conditioner controller. This application aims to improve the testing accuracy of air conditioner controllers.

Description

Technical Field

[0001] This application relates to the field of air conditioner controller testing technology, specifically to an automated testing method, apparatus, and equipment for air conditioner controllers. Background Technology

[0002] With the continuous development of the train industry in recent years, onboard air conditioning systems have become one of the important standards for measuring vehicle comfort. Passengers' demands for vehicle comfort are increasing, and under the trends of intelligence, the Internet of Things, and ecological sustainability, the functions of onboard air conditioning systems are becoming increasingly diversified, including temperature control, fan speed adjustment, and air quality management. As the core component of the air conditioning system, the automated testing of the air conditioning controller is crucial for ensuring the quality and safety of the air conditioning system.

[0003] Traditional automated testing methods for air conditioner controllers typically rely on monitoring the air conditioner's output signal and comparing it to a set error range to determine if the control structure meets requirements. However, even when the output signal is within the error range, the control structure may still be in a slightly unstable state, which can easily lead to potential problems. Therefore, simply comparing the output signal with the error range may not accurately reflect the true performance of the control structure, resulting in misjudgments and low detection accuracy. Summary of the Invention

[0004] In view of the above, it is necessary to provide an automated testing method, apparatus, and equipment for air conditioner controllers to solve the above problems.

[0005] According to one aspect of this application, an automated testing method for an air conditioner controller is provided, the method comprising:

[0006] Collect the operating parameters of each control structure in the air conditioner controller within a preset time period;

[0007] Based on the difference between the operating parameters of each control structure at each time and its rated operating value, the control deviation of each control structure at each time is obtained, and the initial test of each control structure is judged to be qualified.

[0008] For a control structure that passes the initial test, the operating state segments of each control structure are obtained based on the numerical characteristics of the control deviation. Based on the length and numerical characteristics of each operating state segment, the continuous deviation characteristic value of each operating state segment is obtained. Based on the difference in the continuous deviation characteristic value and the difference in the number of data between adjacent operating state segments, the control difference value between adjacent operating state segments is obtained.

[0009] Based on the distribution characteristics of all control difference values ​​corresponding to each control structure within a preset time period, and combined with the number of operating parameters and the number of operating state segments within the preset time period, the operational qualification recognition degree of each control structure is obtained; based on the operational qualification recognition degree of all control structures, the air conditioning controller is subjected to automated testing.

[0010] The method of obtaining the control deviation of each control structure at each time step includes:

[0011] Obtain the difference between the operating parameters of each control structure at each time and its rated operating value, and obtain the product of the rated operating parameters of each control structure and the preset value; use the ratio of the difference to the product as the control deviation of each control structure at each time.

[0012] Specifically, determining whether the initial test of each control structure is qualified involves:

[0013] If the control deviation of each control structure does not fall within the preset range at any of the acquisition times, the initial test of the corresponding control structure is deemed unqualified; otherwise, the initial test of the corresponding control structure is deemed qualified.

[0014] Specifically, obtaining the operating state segments of each control structure involves:

[0015] Remove all control deviations equal to 0 within a preset time period from each control structure, and group consecutive control deviations with the same sign into a single operating state segment.

[0016] Specifically, the continuous deviation characteristic value of each operating state segment is the result of fusing all data in each operating state segment and the number of data in the corresponding operating state segment.

[0017] The process of obtaining the control difference value between adjacent operating state segments includes:

[0018] The difference between the continuous deviation feature values ​​between adjacent operating state segments is denoted as the first difference; the difference in the number of data between adjacent operating state segments is denoted as the second difference; the result of fusing the first difference and the second difference is taken as the control difference value between adjacent operating states.

[0019] The method of obtaining the operational qualification identification degree of each control structure includes:

[0020] Calculate the ratio of the number of operating parameters to the number of operating state segments within a preset time period for each control structure; obtain the degree of dispersion of all control difference values ​​corresponding to the preset time period for each control structure; and use the normalized value of the product of the ratio and the degree of dispersion as the operating qualification recognition degree of each control structure.

[0021] The process of automating the testing of the air conditioner controller specifically includes:

[0022] When all control structures in the air conditioner controller pass the initial test and all operational pass recognition rates are less than the preset failure threshold, the test result of the air conditioner controller is deemed to be qualified; otherwise, the test result of the air conditioner controller is deemed to be unqualified.

[0023] According to another aspect of this application, an automated testing device for an air conditioner controller is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of any of the methods described above.

[0024] According to another aspect of this application, an automated testing device for an air conditioner controller is provided, the device storing a computer program that, when executed by a processor, implements any of the automated testing methods described above.

[0025] In the above scheme, the operating parameters of each control structure in the air conditioner controller are first collected within a preset time period. These operating parameters are then compared with the rated operating parameters to obtain the control deviation. This helps to detect the controller's operating deviation in a timely manner through real-time comparison, ensuring its operation within the specified range. Further, the initial test of each control structure is determined to help screen qualified control structures and reduce subsequent computational load. For control structures that pass the initial test, operating state segments of each control structure are obtained based on the numerical characteristics of the control deviation. This provides a data foundation for subsequent analysis of the changing characteristics of the control structure's operating state, improving the accuracy of automated test results. Based on the length and numerical characteristics of each operating state segment, the continuous deviation characteristic value of each operating state segment is obtained, representing the control structure's performance. This application analyzes the fluctuation characteristics of the operating parameters and the degree of deviation from normal conditions. Based on the differences in the characteristic values ​​of continuous deviations between adjacent operating state segments and the differences in the number of data points, it obtains the control difference values ​​between adjacent operating state segments, effectively extracting the characteristics of operating parameters that are unstable for a long time, and improving the accuracy of subsequent tests. Based on the distribution characteristics of all control difference values ​​corresponding to each control structure within a preset time period, combined with the number of operating parameters and the number of operating state segments within the preset time period, it obtains the operating qualification identification degree of each control structure, realizing accurate detection of the control structure, and thus making the test results of the air conditioning controller more accurate. This application aims to solve the problem of decreased test accuracy and poor system stability caused by the long-term unstable operation of the control structure, and effectively improve the test accuracy of the air conditioning controller. Attached Figure Description

[0026] Figure 1A flowchart illustrating the steps of an automated testing method for an air conditioner controller provided in this application;

[0027] Figure 2 This is a schematic diagram illustrating the automated test result acquisition method provided in this application. Detailed Implementation

[0028] In the description of the embodiments in this application, the words "exemplary," "or," and "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary," "or," and "for example" is intended to present the relevant concepts in a specific manner.

[0029] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in this application's specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0030] It should also be noted that the terms "first" and "second" in this application and its accompanying drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. The methods disclosed in the embodiments of this application or the methods shown in the flowcharts include one or more steps for implementing the method. Without departing from the scope of this application, the execution order of multiple steps can be interchanged, and some steps can also be deleted.

[0031] Please see Figure 1 The diagram illustrates a flowchart of an automated testing method for an air conditioner controller according to an embodiment of this application. The method includes the following steps:

[0032] Step 1: Collect the operating parameters of each control structure in the air conditioner controller within a preset time period.

[0033] During the air conditioner's operation, users input commands through the control panel, such as turning the unit on or off, selecting cooling or heating modes, and setting the temperature and fan speed. The air conditioner's electronic control unit (ECU) receives these commands and, in conjunction with real-time data from indoor and outdoor temperature sensors, evaporator sensors, pressure sensors, air quality sensors, and humidity sensors, intelligently adjusts and controls the air conditioning system.

[0034] In the automated testing of air conditioning control, an analog signal module is used to generate input data, simulating the instructions of the air conditioning controller. These analog signals are input through the air conditioning controller, which then performs corresponding operations on various control structures of the air conditioning system based on these signals, thereby achieving operation control and performance testing of the air conditioning system. Through the central control system of the air conditioning system, the current of the hot and cold air damper motors and the internal and external circulation motors, the speed of the air conditioning compressor, and the airflow speed at the air conditioning outlet are collected. Simultaneously, the rated operating values ​​of each control structure under analog signal conditions are obtained. These control structures include the hot and cold air damper motors, the internal and external circulation motors, the air conditioning compressor, and the air conditioning outlet. In this embodiment, the data acquisition time interval is 0.5 seconds, and the preset time period is 10 minutes. The preset time period is specifically a set consisting of the current moment and a preset number of previous moments; in this embodiment, the preset number is 1200. Implementers can adjust the length of the preset time period according to actual conditions; this application does not impose any restrictions on this.

[0035] Step 2: Based on the difference between the operating parameters of each control structure at each time and its rated operating value, obtain the control deviation of each control structure at each time; determine whether the initial test of each control structure is qualified based on the value of the control deviation.

[0036] Ideally, when the input parameters of the air conditioning controller remain constant, the outputs of each control structure will reach a constant state to maintain the set temperature or environmental conditions. However, in practical applications, due to changes in indoor and outdoor temperatures, fluctuations in the performance of the air conditioning system, changes in user settings, and other environmental factors, the air conditioning system needs to constantly adjust its operating state to adapt to these changes and maintain the required environmental conditions, resulting in the outputs of each control structure actually changing continuously.

[0037] Based on this, the control deviation of each control structure at each moment is obtained according to the difference between its operating parameters and rated operating values ​​at each moment: the difference between the operating parameters of each control structure at each moment and its rated operating values ​​is obtained, and the product of the rated operating parameters of each control structure and the preset value is obtained; the ratio of the difference to the product is taken as the control deviation of each control structure at each moment. In this embodiment, the preset value is set to 0.05, mainly because the environmental conditions will change continuously during the air conditioning control process, so the operating parameters of the control structure can tolerate an error of ±5%. This setting ensures the flexibility and stability of the system under different conditions.

[0038] It should be noted that during the testing process, the greater the difference between the operating parameters of the control structure and its rated operating parameters, the more severe the deviation between the operating state of the control structure and the expected target. This deviation may not only lead to a decrease in control effectiveness but may also cause system instability; that is, the greater the difference between the control deviation value of the control structure and 0.

[0039] If the control deviation of each control structure at all acquisition times does not fall within the preset range, it indicates that the operating parameters of the corresponding control structure are outside the normal range, and the initial test result of the control structure is deemed unqualified. Otherwise, further analysis of the operating parameters of the corresponding control structure is conducted. Under normal operating conditions, the operating parameters of the control structure should fluctuate around the rated operating parameters, and the distribution should be relatively uniform, indicating that the system can flexibly adapt to internal and external disturbances and maintain stable operation. If the output of the control structure is consistently greater than or less than the rated operating parameters, it indicates that the control structure is in an unstable operating state for a long time, making it difficult to adjust and potentially leading to damage to the control structure. In this embodiment, the preset range is [-1, 1].

[0040] Step 3: For control structures that pass the initial test, obtain the operating state segments of each control structure based on the numerical characteristics of the control deviation; obtain the continuous deviation characteristic value of each operating state segment based on the length and numerical characteristics of each operating state segment; obtain the control difference value between adjacent operating state segments based on the difference in the continuous deviation characteristic value and the difference in the number of data between adjacent operating state segments.

[0041] Under normal circumstances, the operating parameters of the control structure jump around the rated operating parameters continuously, and the jump time is relatively short. When the control structure has a problem, it is difficult to control the operating parameters to fluctuate around the rated operating parameters, causing the operating parameters to remain on one side of the rated operating parameters for a long time. Therefore, by extracting all operating state segments of each control structure within a preset time period, the operating state of the control structure can be segmented.

[0042] Remove all control deviations equal to 0 within a preset time period for each control structure, and group consecutive elements with the same sign into a single operating state segment. For example, if the set of all control deviations within a preset time period is {-0.2,-0.1,0,0.3,0.2}, two operating state segments are obtained: {-0.2,-0.1} and {0.3,0.2}. If the set of all control deviations within a preset time period is {0.2,0.1,0,0.3,0.2}, then one operating state segment is obtained: {0.2,0.1,0.3,0.2}.

[0043] After segmentation, the length of the sequence can effectively reflect the long-term effects of the control structure's operation, thus helping to analyze its stability and performance changes.

[0044] For each running state segment, the longer the segment, the longer the control structure operates in that state. A larger difference between elements in the running state segment and zero indicates that the control structure cannot effectively maintain the machine's correct operating state over the long term, potentially leading to problems with the control structure. Therefore, monitoring these metrics is crucial for ensuring system stability and reliability.

[0045] Based on this, according to the length and numerical characteristics of each operating state segment, the continuous deviation characteristic value of each operating state segment is obtained: all data in each operating state segment and the number of data in the corresponding operating state segment are fused to obtain the continuous deviation characteristic value of each operating state segment. In the calculation of the continuous deviation characteristic value in this embodiment, multiple variables are fused using a mixed addition and multiplication operation method, that is, the absolute value of the sum of all data in each operating state segment is calculated, and the absolute value of the sum is multiplied by the number of data in the operating state segment to obtain the continuous deviation characteristic value of each operating state segment.

[0046] When the air conditioning control structure malfunctions, its operating parameters will remain above or below its rated operating parameters for an extended period. Simultaneously, the difference between the data values ​​in the operating state segment and zero increases, leading to a larger absolute value of the sum of all element values ​​in the operating state segment and an increased number of elements. This results in a larger sustained deviation characteristic value for the operating state segment, reflecting that the longer the control structure remains on one side of the rated operating value and the higher the cumulative deviation, the larger the sustained deviation characteristic value.

[0047] For adjacent operating state segments, one is above the rated operating value of the control structure, and the other is below the rated operating value. The difference between the two operating state segments indicates the stability of the control structure during operation. This is because the closer the continuous deviation characteristic values ​​of adjacent operating state segments are, the more likely the control structure is operating within the range of the rated operating value, indicating a stronger control capability and the ability to maintain the stability of the control structure.

[0048] Based on this, the control difference value between adjacent operating state segments is obtained according to the difference in the continuous deviation characteristic value and the difference in the number of data between adjacent operating state segments: the difference in the continuous deviation characteristic value between adjacent operating state segments is recorded as the first difference; the difference in the number of data between adjacent operating state segments is recorded as the second difference; the result of fusing the first difference and the second difference is used as the control difference value between adjacent operating states.

[0049] In this embodiment, the difference between variables is measured by the difference between variables during the process of obtaining the difference value, and the fusion of multiple variables is done by multiplying them and taking the absolute value.

[0050] Under normal operating conditions, the operating parameters of the control structure fluctuate continuously around the rated operating parameters. If the time intervals for these fluctuations are relatively close, meaning the number of data points between adjacent operating state segments of the control structure is similar, it indicates that the control structure's operating state is stable, and the difference between the operating parameters corresponding to the operating state segments and the rated operating parameters is small. Therefore, when the control structure is operating normally, the smaller the control difference between adjacent operating state segments, the more similar the operating states of the control structure are in adjacent operating state segments, resulting in higher control capability and higher operational stability.

[0051] Step 4: Based on the distribution characteristics of all control difference values ​​corresponding to each control structure within a preset time period, and combined with the number of operating parameters and the number of operating state segments within the preset time period, obtain the operational qualification recognition degree of each control structure; perform automated testing on the air conditioning controller based on the operational qualification recognition degree of all control structures.

[0052] The more frequently the operating parameters of the air conditioning control structure change within the rated operating parameter range, the more stable the operating state of the control structure is, and the stronger the control structure has control capability. This is manifested in the greater number of control difference values ​​corresponding to each control structure within a preset time period, and the closer the control difference values ​​are.

[0053] Based on the distribution characteristics of all control difference values ​​corresponding to each control structure within a preset time period, and combined with the number of operating parameters and the number of operating state segments within the preset time period, the operational qualification recognition degree of each control structure is obtained: the ratio of the number of operating parameters to the number of operating state segments within the preset time period of each control structure is calculated; the dispersion of all control difference values ​​corresponding to the preset time period of each control structure is obtained; and the normalized value of the product of the ratio and the dispersion is used as the operational qualification recognition degree of each control structure.

[0054] In the process of obtaining the qualification recognition rate, this embodiment uses the mean absolute deviation to measure the dispersion among multiple variables, and the normalization uses the sigmoid function. The calculation of the mean absolute deviation is a well-known technique, and the specific calculation process will not be described in detail.

[0055] When the number of control difference values ​​corresponding to the preset time period of the control structure, that is, the number of operating state segments, is closer to the operating parameters collected within the preset time period; at the same time, the control difference values ​​of the control structure are smaller, resulting in a smaller average absolute deviation value, and thus a smaller operating qualification recognition value of the control structure.

[0056] In controller testing, if the control structure exceeds the error range of its operating parameters, a problem can be directly identified. Even if the operating parameters of the control structure are within the error range, a persistent deviation from the rated operating values ​​indicates that the control structure is in a state of instability and cannot effectively maintain the set parameters.

[0057] The operational pass / fail recognition rate of each control structure is obtained, with a preset failure threshold of 0.8. When the operational pass / fail recognition rate of an air conditioning control structure is greater than or equal to the failure threshold, it indicates that the air conditioning control structure is in an unstable operating state, and the test result of the air conditioning control structure is unqualified. When the operational pass / fail recognition rate of all air conditioning control structures is less than the failure threshold, it indicates that the test result of the air conditioning controller is qualified.

[0058] The diagram illustrating the acquisition of automated test results is shown below. Figure 2 As shown.

[0059] Based on the same concept as the method embodiments of this application, an automated testing device for an air conditioner controller is provided, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of any of the methods described above.

[0060] Based on the same concept as the method embodiments of this application, an automated testing device for an air conditioner controller is provided. The device stores a computer program, which, when executed by a processor, implements any of the automated testing methods described above.

[0061] In summary, firstly, the operating parameters of each control structure in the air conditioner controller are collected within a preset time period. These operating parameters are then compared with the rated operating parameters to obtain the control deviation. This helps to promptly detect operational deviations in the controller through real-time comparison, ensuring its operation within the specified range. Secondly, determining whether each control structure passes the initial test helps to screen qualified control structures and reduce subsequent computational load. For control structures that pass the initial test, operating state segments of each control structure are obtained based on the numerical characteristics of the control deviation. This provides a data foundation for subsequent analysis of the changing characteristics of the control structure's operating state, improving the accuracy of automated test results. Finally, based on the length and numerical characteristics of each operating state segment, the continuous deviation characteristic value of each operating state segment is obtained, representing the fluctuation characteristics of the control structure's operating parameters. The degree of deviation from normal conditions; based on the difference in the characteristic value of the continuous deviation between adjacent operating state segments and the difference in the number of data, the control difference value between adjacent operating state segments is obtained, effectively extracting the operating parameter characteristics of the control structure that has been in a long-term unstable state, and improving the accuracy of subsequent tests; based on the distribution characteristics of all control difference values ​​corresponding to each control structure within a preset time period, combined with the number of operating parameters and the number of operating state segments within the preset time period, the operating qualification identification degree of each control structure is obtained, realizing accurate detection of the control structure, thereby making the test results of the air conditioner controller more accurate. This application avoids the problems of decreased test accuracy and poor system stability caused by the long-term unstable operation of the control structure in the existing automated test methods for air conditioner controllers, and can effectively improve the test accuracy of air conditioner controllers.

[0062] It should be noted that the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of the systems, methods, and computer program products according to embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description; sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0063] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. An automated testing method for an air conditioner controller, characterized in that, The method includes the following steps: Collect the operating parameters of each control structure in the air conditioner controller within a preset time period; Based on the difference between the operating parameters of each control structure at each time and its rated operating value, the control deviation of each control structure at each time is obtained, and the initial test of each control structure is judged to be qualified. The control deviation is the ratio of the difference to the product. The difference is the difference between the operating parameters of each control structure at each time and its rated operating value, and the product is the product of the rated operating parameters of each control structure and the preset value. For control structures that pass the initial test, the operating state segments of each control structure are obtained based on the numerical characteristics of the control deviation. Based on the length and numerical characteristics of each operating state segment, the continuous deviation characteristic value of each operating state segment is obtained. Based on the difference in the continuous deviation characteristic value and the difference in the number of data between adjacent operating state segments, the control difference value between adjacent operating state segments is obtained. The control difference value is the result of fusing the first difference and the second difference, where the first difference is the difference in the continuous deviation characteristic value between adjacent operating state segments and the second difference is the difference in the number of data between adjacent operating state segments. Based on the distribution characteristics of all control difference values ​​corresponding to each control structure within a preset time period, and combined with the number of operating parameters and the number of operating state segments within the preset time period, the operational qualification recognition degree of each control structure is obtained; based on the operational qualification recognition degree of all control structures, the air conditioning controller is subjected to automated testing.

2. The automated testing method for an air conditioner controller as described in claim 1, characterized in that, The determination of whether the initial test of each control structure is qualified is specifically as follows: If the control deviation of each control structure does not fall within the preset range at any of the acquisition times, the initial test of the corresponding control structure is deemed unqualified; otherwise, the initial test of the corresponding control structure is deemed qualified.

3. The automated testing method for an air conditioner controller as described in claim 1, characterized in that, The acquisition of the operational state segments of each control structure specifically includes: Remove all control deviations equal to 0 within a preset time period from each control structure, and group consecutive control deviations with the same sign into a single operating state segment.

4. The automated testing method for an air conditioner controller as described in claim 1, characterized in that, The persistent deviation characteristic value of each operating state segment is specifically the result of fusing all data in each operating state segment and the number of data in the corresponding operating state segment.

5. The automated testing method for an air conditioner controller as described in claim 1, characterized in that, The obtained operational qualification identification degree of each control structure includes: Calculate the ratio of the number of operating parameters to the number of operating state segments within a preset time period for each control structure; obtain the degree of dispersion of all control difference values ​​corresponding to the preset time period for each control structure; and use the normalized value of the product of the ratio and the degree of dispersion as the operating qualification recognition degree of each control structure.

6. The automated testing method for an air conditioner controller as described in claim 1, characterized in that, The process of automating the testing of the air conditioner controller is as follows: When the initial test results of all control structures in the air conditioner controller are qualified and the qualification recognition of all operations is less than the preset failure threshold, the test result of the air conditioner controller is determined to be qualified. Otherwise, the test result for the air conditioner controller will be deemed unqualified.

7. An automated testing device for an air conditioner controller, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-6.

8. An automated testing device for an air conditioner controller, wherein the device stores a computer program, characterized in that, When the computer program is executed by the processor, it implements the automated testing method as described in any one of claims 1 to 6.

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