Automatic testing method, device and equipment for air conditioner controller
By collecting the operating parameters of the air conditioner controller, calculating the control deviation and operation qualification recognition, the problem that traditional testing methods cannot accurately reflect the performance of the control structure is solved, and higher test accuracy and system stability are achieved.
Patent Information
- Application Number
- CN202510023068.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-07
- Publication Date
- 2025-04-18
- Estimated Expiration
- 2045-01-07
AI Technical Summary
The automated testing methods of traditional air conditioning controllers cannot accurately reflect the true performance of the control structure, resulting in misjudgment and low detection accuracy, especially when the control structure is in a weakly unstable state.
By collecting the operating parameters of each control structure in the air conditioner controller within the preset time period, calculating the control deviation degree, determining whether the initial test is qualified, obtaining the running status segment and continuous deviation characteristic values, calculating the control difference value and the operation qualification recognition degree, and realizing automated testing of the air conditioner controller.
It improves the accuracy of the test of the air conditioner controller, can timely detect the operating deviation of the controller, ensure that it operates within the specified range, reduces the misjudgment rate and improves the detection accuracy.
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Figure CN119847119A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of air-conditioning controller testing, and in particular to an automated testing method, device and equipment for an air-conditioning controller. Background Art
[0002] With the continuous development of the train industry in recent years, the on-board air conditioning system has become one of the important standards for measuring vehicle comfort. Passengers' requirements for vehicle comfort are increasing day by day. Under the trend of intelligence, Internet of Things, and ecology, the functions of on-board air conditioning systems are becoming more and more diverse, including temperature control, wind speed adjustment, air quality management, etc. As the core component of the air conditioning system, the automatic testing of the air conditioning controller is crucial to ensure the quality and safety of air conditioning.
[0003] Traditional automated testing methods for air conditioner controllers usually rely on monitoring the output signal of the air conditioner and comparing it with a set error range to determine whether the control structure meets the requirements. However, 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, testing only by simply comparing the output signal with the error range may not accurately reflect the true performance of the control structure, resulting in misjudgment and low detection accuracy. Summary of the invention
[0004] In view of the above, it is necessary to provide an automated testing method, device and equipment for an air conditioning controller to solve the above problems.
[0005] According to one aspect of the present application, there is provided an automated testing method for an air conditioning controller, the method comprising:
[0006] Collecting the operating parameters of each control structure in the air conditioning controller within a preset time period;
[0007] According to the difference between the operating parameters of each control structure at each moment and its rated operating value, the control deviation of each control structure at each moment is obtained to judge whether the initial test of each control structure is qualified;
[0008] For the control structures that have passed the initial test, the operating state segments of each control structure are obtained according to the numerical characteristics of the control deviation; the continuous deviation characteristic value of each operating state segment is obtained according to the length and numerical characteristics of each operating state segment; 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;
[0009] According to the distribution characteristics of all control difference values corresponding to the preset time period of each control structure, combined with the number of operating parameters and the number of operating status fragments in the preset time period, the operation qualification recognition degree of each control structure is obtained; based on the operation qualification recognition degree of all control structures, the air-conditioning controller is automatically tested.
[0010] Wherein, obtaining the control deviation of each control structure at each moment includes:
[0011] The difference between the operating parameter of each control structure at each moment and its rated operating value is obtained, and the product of the rated operating parameter of each control structure and a preset value is obtained; and the ratio of the difference to the product is used as the control deviation of each control structure at each moment.
[0012] The determination of whether the initial test of each control structure is qualified is specifically as follows:
[0013] If the control deviation of each control structure at all acquisition moments does not have a value within a preset range, it is determined that the initial test of the corresponding control structure has failed; otherwise, it is determined that the initial test of the corresponding control structure has passed.
[0014] The obtaining of the running status fragments of each control structure is specifically as follows:
[0015] All control deviations of each control structure that are equal to 0 within a preset time period are eliminated, and continuous control deviations with the same sign are combined into an operating state segment.
[0016] The continuous deviation characteristic value of each running state segment is specifically a result of fusing all data in each running state segment and the number of data corresponding to the running state segment.
[0017] The process of obtaining the control difference value between adjacent operating state segments includes:
[0018] The difference between the continuous deviation characteristic values 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.
[0019] Wherein, obtaining the qualified recognition degree of operation of each control structure includes:
[0020] Calculate the ratio of the number of operating parameters to the number of operating state fragments within the preset time period of each control structure; obtain the discreteness of all control difference values corresponding to the preset time period of each control structure; and use the normalized value of the product of the ratio and the discreteness as the operation qualification recognition degree of each control structure.
[0021] The process of automatically testing the air conditioner controller is as follows:
[0022] When the initial test results of all control structures in the air-conditioning controller are qualified and all operation qualified identification degrees are less than the preset unqualified threshold value, the test result of the air-conditioning controller is determined to be qualified; otherwise, the test result of the air-conditioning controller is unqualified.
[0023] According to another aspect of the present application, an automated testing device for an air conditioning controller is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above methods when executing the computer program.
[0024] According to another aspect of the present application, an automated testing device for an air-conditioning controller is provided, wherein a computer program is stored in the device, and when the computer program is executed by a processor, any one of the automated testing methods described above is implemented.
[0025] In the above scheme, the operating parameters of each control structure in the air-conditioning controller within a preset time period are first collected, and the operating parameters are compared with the rated operating parameters to obtain the control deviation, which helps to timely discover the operating deviation of the controller through real-time comparison to ensure that it operates within the specified range; further determine whether the initial test of each control structure is qualified, which helps to screen qualified control structures and reduce the subsequent calculation amount; for the control structures that pass the initial test, the operating state fragments of each control structure are obtained according to the numerical characteristics of the control deviation, which has the beneficial effect of providing a data basis for the subsequent analysis of the changing characteristics of the operating state of the control structure and improving the accuracy of the automated test results; according to the length and numerical characteristics of each operating state fragment, the continuous deviation characteristic value of each operating state fragment is obtained, indicating that the control structure The fluctuation characteristics of the structure operating parameters and the degree of deviation from normal conditions; according to the difference in the continuous deviation characteristic values between adjacent operating state segments and the difference in the number of data, the control difference value between adjacent operating state segments is obtained, and the operating parameter characteristics of the control structure that are in long-term instability are effectively extracted, thereby improving the accuracy of subsequent tests; according to 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 operation qualification recognition degree of each control structure is obtained, and accurate detection of the control structure is achieved, thereby making the test results of the air-conditioning controller more accurate. The present application aims to solve the problem of reduced test accuracy and poor system stability due to the long-term unstable operation of the control structure, and effectively improve the test accuracy of the air-conditioning controller. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] Figure 1A flowchart of the steps of an automated testing method for an air conditioning controller provided in this application;
[0027] Figure 2 A schematic diagram of obtaining automated test results provided for this application. DETAILED DESCRIPTION
[0028] In the description of the embodiments of the present application, words such as "exemplary", "or", "for example" and the like are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "or", "for example" and the like is intended to present related concepts in a concrete manner.
[0029] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art in the present application. The terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application.
[0030] It should also be noted that the terms "first" and "second" in this application and the accompanying drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. The method disclosed in the embodiments of the present application or the method shown in the flowchart includes one or more steps for implementing the method. Without departing from the scope of the present application, the execution order of multiple steps can be interchanged with each other, and some steps can also be deleted.
[0031] See also Figure 1 , which shows a flowchart of a method for automatically testing an air conditioner controller provided by an embodiment of the present application, the method comprising the following steps:
[0032] Step 1: Collect the operating parameters of each control structure in the air conditioning controller within a preset time period.
[0033] During the air conditioning control process, users input commands through the control panel, such as turning the machine on and off, selecting cooling or heating mode, and setting the temperature and wind speed. The air conditioning electronic control unit (ECU) receives these commands and combines real-time data from internal and external temperature sensors, evaporator sensors, pressure sensors, air quality sensors, and humidity sensors to intelligently adjust and control the air conditioning system.
[0034] In the automated test of air conditioning control, the analog signal module is used to generate input data and simulate the instructions of the air conditioning controller. These analog signals are input through the air conditioning controller, and the controller performs corresponding operations on the various control structures of the air conditioning according to these signals, thereby realizing the operation control and performance test of the air conditioning system. Through the central control system of the air conditioner, the current of the hot and cold air door motor, the internal and external circulation motor, the speed of the air conditioning compressor, and the wind speed of the air conditioning outlet are collected; at the same time, the rated operating value of each control structure during operation under the analog signal is obtained, and the control structure includes the hot and cold air door motor, the internal and external circulation motor, the air conditioning compressor, and the air conditioning outlet. In this embodiment, the data collection time interval is 0.5s, and the length of the preset time period is 10min. The preset time period is specifically a set consisting of the current moment and the previous preset number of moments. In this embodiment, the value of the preset number is 1200; the implementer can adjust the length of the preset time period according to the actual situation, and this application does not limit this.
[0035] Step 2: According to the difference between the operating parameters of each control structure at each moment and its rated operating value, the control deviation of each control structure at each moment is obtained; and according to the value of the control deviation, whether the initial test of each control structure is qualified is judged.
[0036] Ideally, when the input parameters of the air conditioning controller remain unchanged, the output of each control structure will reach a constant state to maintain the set temperature or environmental conditions. However, in actual applications, due to changes in indoor and outdoor temperatures, fluctuations in air conditioning system performance, changes in user settings, and other environmental factors, the air conditioning system needs to constantly adjust its working state to adapt to these changes and maintain the required environmental conditions, resulting in the output of each control structure actually changing continuously.
[0037] Based on this, according to the difference between the operating parameters of each control structure at each moment and its rated operating value, the control deviation of each control structure at each moment is obtained: the difference between the operating parameters of each control structure at each moment and its rated operating value 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 used 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 continue to change 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 test, the greater the difference between the operating parameters of the control structure and its rated operating parameters, the greater 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 effect, but 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 moments does not have a value within the preset range, it means that the operating parameters of the corresponding control structure are beyond the normal range, and the initial test result of the control structure is judged to be unqualified; otherwise, further analyze the operating parameters of the corresponding control structure. When the control structure is operating normally, its operating parameters should fluctuate above and below the rated operating parameters, and the upper and lower distributions are 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 greater than the rated operating parameters for a long time or less than the rated operating parameters for a long time, it means that the control structure is in an unstable operating state for a long time, and the control structure is difficult to adjust, resulting in damage to the control structure. In this embodiment, the preset range is [-1,1].
[0040] Step three: For the control structures that pass the initial test, obtain the operating status segments of each control structure according to the numerical characteristics of the control deviation; obtain the continuous deviation characteristic value of each operating status segment according to the length and numerical characteristics of each operating status segment; obtain the control difference value between adjacent operating status segments according to the difference in the continuous deviation characteristic values between adjacent operating status segments and the difference in the number of data.
[0041] Under normal circumstances, the operating parameters of the control structure are constantly jumping around the rated operating parameters, and the jumping time is relatively short. When problems occur in the control structure, it is difficult to control the operating parameters to fluctuate above and below 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 status fragments of each control structure within a preset time period, the operating status of the control structure can be segmented.
[0042] Eliminate all control deviations of each control structure that are equal to 0 within the preset time period, and combine continuous elements with the same sign into an operating state segment. For example, if the set of all control deviations of the control structure within the preset time period is {-0.2, -0.1, 0, 0.3, 0.2}, two operating state segments are obtained, namely {-0.2, -0.1} and {0.3, 0.2}; if the set of all control deviations of the control structure within the preset time period is {0.2, 0.1, 0, 0.3, 0.2}, then an operating state segment is obtained, namely {0.2, 0.1, 0.3, 0.2}.
[0043] After segmentation, the length of the sequence can effectively reflect the long-term effect of the operation of the control structure, thus helping to analyze its stability and performance changes.
[0044] For each running state segment, the longer the segment is, the longer the control structure runs in that state; if the gap between the elements in the running state segment and 0 is larger, it indicates that the control structure cannot effectively maintain the correct running state of the machine in the long term, which may cause problems in the control structure. Therefore, monitoring these indicators is crucial to ensure the stability and reliability of the system.
[0045] Based on this, according to the length and numerical characteristics of each running state segment, the continuous deviation characteristic value of each running state segment is obtained: all data in each running state segment and the number of data of the corresponding running state segment are fused to obtain the continuous deviation characteristic value of each running state segment. In the calculation process of the continuous deviation characteristic value of this embodiment, multiple variables are fused using the method of mixed addition and multiplication operations, that is, the absolute value of the sum of all data in each running state segment is calculated, and the absolute value of the sum is multiplied by the number of data of the running state segment to obtain the continuous deviation characteristic value of each running state segment.
[0046] When problems occur in the operation of the air-conditioning control structure, the operating parameters of the control structure will remain above or below their rated operating parameters for a long time. At the same time, the gap between the data value in the operating status segment of the control structure and 0 increases, making the absolute value of the sum of all element values in the operating status segment larger and the number of elements in the operating status segment increase, thereby increasing the continuous deviation characteristic value of the operating status segment, reflecting that the control structure remains on one side of the rated operating value for a long time. The longer the duration and the higher the cumulative deviation, the larger the continuous 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 when the continuous deviation characteristic values of adjacent operating state segments are closer, it indicates that the control structure is operating alternately above and below the rated operating value. The control structure has a stronger control ability and can maintain the stability of the control structure.
[0048] Based on this, according to the difference in the continuous deviation characteristic values between adjacent running state segments and the difference in the number of data, the control difference value between adjacent running state segments is obtained: the difference between the continuous deviation characteristic values between adjacent running state segments is recorded as the first difference; the difference in the number of data between adjacent running 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 running states.
[0049] In the process of obtaining the control difference value in this embodiment, the difference between the variables is measured by the difference between the variables, and the fusion between multiple variables is carried out by taking the absolute value after multiplication.
[0050] When the control structure is operating normally, the operating parameters of the control structure continuously fluctuate around the rated operating parameters. If the time of the fluctuation is close, that is, the number of data between adjacent operating state segments of the control structure is close, it means that the operating state of the control structure is stable, and the difference between the operating parameters corresponding to the operating state segments of the control structure and the rated operating parameters is small. Therefore, when the control structure is operating normally, the smaller the control difference value between adjacent operating state segments of the control structure, the more similar the operating states corresponding to the adjacent operating state segments of the control structure are between the adjacent operating state segments, and the higher the control capability of the control structure, the higher the operating stability.
[0051] Step 4: According to the distribution characteristics of all control difference values corresponding to the preset time period of each control structure, combined with the number of operating parameters and the number of operating status fragments in the preset time period, the operation qualification recognition degree of each control structure is obtained; based on the operation qualification recognition degree of all control structures, the air-conditioning controller is automatically tested.
[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 control structure has a stronger control capability, which is manifested in that the number of control difference values corresponding to each control structure within the preset time period is greater, and the control difference values are closer.
[0053] According to the distribution characteristics of all control difference values corresponding to the preset time period of each control structure, combined with the number of operating parameters and the number of operating status fragments in the preset time period, the operation qualification recognition degree of each control structure is obtained: the ratio of the number of operating parameters to the number of operating status fragments in the preset time period of each control structure is calculated; the discrete degree 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 discrete degree is used as the operation qualification recognition degree of each control structure.
[0054] In the process of obtaining the qualified recognition degree of the operation, this embodiment uses the mean absolute deviation to measure the discreteness between multiple variables, and the sigmoid function is used for normalization. The calculation of the mean absolute deviation is a well-known technology, and the specific calculation process is not repeated here.
[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 fragments, is closer to the operating parameters collected within the preset time period; at the same time, the difference between the control difference values of the control structure is smaller, so that the value of the mean absolute deviation is smaller, and thus the value of the control structure's operating qualification recognition is smaller.
[0056] In the controller test, when the control structure exceeds the error range of its operating parameters, it can be directly determined that there is a problem with the control structure. Although the operating parameters of the control structure do not exceed the error range, the control structure deviates from the rated operating value for a long time, indicating that the control structure is in an unstable operating state for a long time and the control structure cannot effectively maintain the set parameters.
[0057] Obtain the qualified operation recognition degree of each control structure, and preset the unqualified threshold value of 0.8. When the qualified operation recognition degree of the air-conditioning control structure is greater than or equal to the unqualified threshold value, it means that the air-conditioning control structure is in an unstable operation state, and the test result of the air-conditioning control structure is unqualified. When the qualified operation recognition degrees of all air-conditioning control structures are less than the unqualified threshold value, it means that the test result of the air-conditioning controller is qualified.
[0058] Among them, the schematic diagram of obtaining the automated test results is as follows: Figure 2 shown.
[0059] Based on the same concept as the method embodiment of the present application, an automated testing device for an air-conditioning controller is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above methods when executing the computer program.
[0060] Based on the same concept as the method embodiment of the present application, an automatic testing device for an air-conditioning controller is provided, wherein a computer program is stored in the device, and when the computer program is executed by a processor, any one of the above-mentioned automatic testing methods is implemented.
[0061] In summary, firstly, the operating parameters of each control structure in the air-conditioning controller within a preset time period are collected, and the operating parameters are compared with the rated operating parameters to obtain the control deviation, which is helpful to timely discover the operating deviation of the controller through real-time comparison to ensure that it operates within the specified range; further judging whether the initial test of each control structure is qualified is helpful to screen qualified control structures and reduce the subsequent calculation amount; for the control structures that pass the initial test, the operating state fragments of each control structure are obtained according to the numerical characteristics of the control deviation, which has the beneficial effect of providing a data basis for the subsequent analysis of the changing characteristics of the operating state of the control structure and improving the accuracy of the automated test results; according to the length and numerical characteristics of each operating state fragment, the continuous deviation characteristic value of each operating state fragment is obtained, which represents the fluctuation characteristics of the operating parameters of the control structure and The degree of deviation from normal conditions; based on the difference in the continuous deviation characteristic values between adjacent operating state segments and the difference in the number of data, the control difference value between adjacent operating state segments is obtained, and the operating parameter characteristics of the control structure that are in long-term unstable state are effectively extracted, thereby 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 operation qualification recognition degree of each control structure is obtained, and accurate detection of the control structure is achieved, thereby making the test results of the air-conditioning controller more accurate. The present 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 automatic testing method of the air-conditioning controller in the prior art, and can effectively improve the test accuracy of the air-conditioning controller.
[0062] It should be noted that the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the system, method and computer program product according to the embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in an order different from that disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.
[0063] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.
Claims
1. An automated testing method for an air conditioning controller, characterized in that: The method comprises the following steps: Collecting the operating parameters of each control structure in the air conditioning controller within a preset time period; According to the difference between the operating parameters of each control structure at each moment and its rated operating value, the control deviation of each control structure at each moment is obtained to judge whether the initial test of each control structure is qualified; For the control structures that have passed the initial test, the operating state segments of each control structure are obtained according to the numerical characteristics of the control deviation; the continuous deviation characteristic value of each operating state segment is obtained according to the length and numerical characteristics of each operating state segment; 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; According to the distribution characteristics of all control difference values corresponding to the preset time period of each control structure, combined with the number of operating parameters and the number of operating status fragments in the preset time period, the operation qualification recognition degree of each control structure is obtained; based on the operation qualification recognition degree of all control structures, the air-conditioning controller is automatically tested.
2. The automatic testing method of an air conditioner controller according to claim 1, characterized in that: The obtaining of the control deviation of each control structure at each moment includes: The difference between the operating parameter of each control structure at each moment and its rated operating value is obtained, and the product of the rated operating parameter of each control structure and a preset value is obtained; and the ratio of the difference to the product is used as the control deviation of each control structure at each moment.
3. The automatic testing method of an air conditioner controller according to 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 at all acquisition moments does not have a value within a preset range, it is determined that the initial test of the corresponding control structure has failed; otherwise, it is determined that the initial test of the corresponding control structure has passed.
4. The automatic testing method of an air conditioner controller according to claim 1, characterized in that: The operation status fragments of each control structure are obtained as follows: All control deviations of each control structure that are equal to 0 within a preset time period are eliminated, and continuous control deviations with the same sign are combined into an operating state segment.
5. The automatic testing method of an air conditioner controller according to claim 1, characterized in that: The continuous deviation characteristic value of each running state segment is specifically a result of fusing all data in each running state segment and the number of data corresponding to the running state segment.
6. The automatic testing method of an air conditioner controller according to claim 1, characterized in that: The process of obtaining the control difference value between adjacent running state segments includes: The difference between the continuous deviation characteristic values 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.
7. The automatic testing method of an air conditioner controller according to claim 1, characterized in that: The obtaining of the operation qualification recognition degree of each control structure includes: Calculate the ratio of the number of operating parameters to the number of operating state fragments within the preset time period of each control structure; obtain the discreteness of all control difference values corresponding to the preset time period of each control structure; and use the normalized value of the product of the ratio and the discreteness as the operation qualification recognition degree of each control structure.
8. The automatic testing method of an air conditioner controller according to claim 1, characterized in that: The process of automatically testing the air conditioning controller is specifically as follows: When the initial test results of all control structures in the air-conditioning controller are qualified and all qualified operation recognition degrees are less than the preset unqualified threshold value, the test result of the air-conditioning controller is determined to be qualified; Otherwise, the test result of the air conditioning controller is unqualified.
9. An automated testing device for an air conditioning 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, the steps of the method according to any one of claims 1 to 8 are implemented.
10. An automatic testing device for an air conditioning controller, wherein a computer program is stored in the device, characterized in that: When the computer program is executed by a processor, the automated testing method according to any one of claims 1 to 8 is implemented.
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