Automatic test method and system for multifunctional car washer circuit board

Abstract

The invention provides an automatic test method and system for a multifunctional car washer circuit board, and relates to the technical field of circuit board detection. A feedback response instruction of an output port of the car washer circuit board is collected in real time; determining a dynamic time sequence deviation of the car washing machine in each working mode, and determining a failure loss level of the car washing machine circuit board in operation failure according to the dynamic time sequence deviation of the car washing machine in all working modes; identifying failure distribution information when the vehicle washing machine circuit board fails in operation, performing segmented isolation to obtain a failure isolation degree when the vehicle washing machine circuit board fails in operation, and determining a homomorphic offset period when the vehicle washing machine circuit board is tested according to the failure isolation degree and a failure loss level; and carrying out automatic compensation test on the car washer circuit board according to the homomorphic offset period. According to the invention, failure detection can be carried out by applying the dynamic test signal and combining heat source scanning and time sequence matching in a multifunctional car washer circuit board test, so that the real-time performance of the circuit board test is improved.

Description

Technical Field

[0001] The present application relates to the technical field of circuit board detection, and more specifically, to an automatic testing method and system for a circuit board of a multifunctional car washing machine. Background Art

[0002] Circuit board testing refers to checking the performance, stability and reliability of circuit boards under different working conditions through a series of testing methods and technologies. It includes the evaluation of signal transmission, temperature changes, power consumption and other aspects of the circuit board to ensure the normal operation of the circuit board in actual applications. Common testing methods include using a signal generator to apply test signals, monitoring the circuit board response in real time through sensors, and collecting the output signal of the circuit board for analysis. Especially in multi-functional equipment, such as complex systems such as car washers, the reliability of the circuit board is crucial. Any small failure may cause abnormal operation of the equipment and affect the performance of the car washer.

[0003] However, in the existing multifunctional car washing machine circuit board automatic testing method and system, it relies on static testing and a single signal acquisition method, lacking comprehensive detection of the dynamic changes of the circuit board under multiple working modes, resulting in the inability to accurately capture the performance fluctuations of the circuit board under different loads, temperature changes and other conditions, and thus unable to evaluate the dynamic timing deviation and failure mode of the system in real time. As a result, the existing testing methods cannot effectively identify the failure risks and dynamic changes that may occur in the actual use of the circuit board, reducing the accuracy and reliability of the test. Therefore, how to improve the real-time performance of the circuit board test by applying dynamic test signals and combining heat source scanning and timing matching to perform failure detection in the multifunctional car washing machine circuit board test is a problem faced by the industry. Summary of the invention

[0004] The present application provides an automatic testing method and system for a multifunctional car washing machine circuit board, which can perform failure detection in the multifunctional car washing machine circuit board test by applying a dynamic test signal and combining heat source scanning and timing matching to improve the real-time performance of the circuit board test.

[0005] In a first aspect, the present application provides an automatic testing method for a multifunctional car washing machine circuit board, the testing method comprising the following steps: Apply a test signal to the input port of the car washing machine circuit board through a signal generator, and collect feedback response instructions from the output port of the car washing machine circuit board in real time; Performing timing matching on the feedback response instructions in various working modes of the car washing machine to obtain a dynamic timing deviation of the car washing machine in each working mode, and then determining the failure loss level of the circuit board of the car washing machine when the operation fails according to the dynamic timing deviation of the car washing machine in all working modes; Perform regional heat source scanning on the car washing machine circuit board, identify the failure distribution information of the car washing machine circuit board when the operation failure occurs, isolate the failure distribution information in sections, obtain the failure isolation degree of the car washing machine circuit board when the operation failure occurs, and then determine the homomorphic offset period when testing the car washing machine circuit board according to the failure isolation degree and the failure loss level; An automatic compensation test is performed on the car washing machine circuit board according to the homomorphic offset cycle.

[0006] In this embodiment, the feedback response instruction refers to the electrical signal output communication response of the car washing machine circuit board after receiving the input signal.

[0007] In this embodiment, timing matching is performed on the feedback response instruction in various working modes of the car washing machine to obtain the dynamic timing deviation of the car washing machine in each working mode, specifically including: The timing execution data of the feedback response instruction in various working modes of the car washing machine is obtained, and the dynamic time characteristics between the instruction triggering and the mechanical action are extracted.

[0008] Based on the control logic requirements of different modes and the timing execution data, determining the response threshold boundary of the car washing machine command transmitted to the execution terminal; According to the delay fluctuation range of the car washing machine in each working mode, the dynamic time feature is aligned to obtain the instruction matching degree in various working modes of the car washing machine; The dynamic timing deviation of the car washing machine in each working mode is determined according to the instruction matching degree and the response threshold boundary.

[0009] In this embodiment, determining the failure loss level of the circuit board of the car washing machine when it fails in operation according to the dynamic timing deviation of the car washing machine in all working modes specifically includes: Determine the timing correlation characteristics of abnormal transmission and execution signal of the car washing machine circuit board command according to the dynamic timing deviation; Determine the operating state deviation and failure impact attributes of different submodules of the car washing machine under operating deviation according to the time series correlation characteristics; The failure loss level of the car washing machine circuit board when an operation failure occurs is determined according to the operation state deviation and the failure impact attribute.

[0010] In this embodiment, performing regional heat source scanning on the car washing machine circuit board to identify failure distribution information when the car washing machine circuit board fails in operation specifically includes: Use an infrared thermal imager to perform regional heat source scanning on the car washing machine circuit board to obtain dynamic temperature gradient distribution data of each area of ​​the circuit board under different working modes; Determine the heat source concentration in the abnormal temperature rise area of ​​the circuit board based on the heat conduction model; The failure distribution information of the car washing machine circuit board when an operation failure occurs is determined by the dynamic temperature gradient distribution data and the heat source concentration.

[0011] In this embodiment, the failure distribution information is segmented and isolated to obtain the failure isolation degree of the car washing machine circuit board when the circuit board fails during operation, specifically including: According to the failure distribution information, the abnormal heat source area of ​​the car washing machine circuit board is spatially clustered and segmented to generate a failure isolation interval based on the heat source concentration; Determining a cross-zone signal correlation amount of a failure feature within the failure isolation interval; The failure isolation degree of the car washing machine circuit board when an operation failure occurs is determined by the cross-zone signal correlation amount.

[0012] In this embodiment, determining the homomorphic offset period during the car washing machine circuit board test by the failure isolation degree and the failure loss level specifically includes: Extracting the homomorphic offset baseline parameters of heat source anomaly and signal failure in circuit board testing through the association weight between the failure isolation degree and the failure loss level; Based on the failure isolation and failure loss quantification model, a dynamic time-varying mapping function of heat source-signal coordinated failure is constructed; In combination with the dynamic time-varying mapping function, a timing drift correction factor for heat source anomaly and signal failure in circuit board testing is determined; The isomorphic offset period during the car washing machine circuit board test is determined according to the isomorphic offset baseline parameter and the timing drift correction factor.

[0013] In this embodiment, the automatic compensation test of the car washing machine circuit board according to the homomorphic offset cycle specifically includes: Generate an adaptive compensation pulse sequence of a circuit board test signal according to the isomorphic offset period; By collecting the attenuation gradient of the circuit board's response signal in real time, a signal integrity verification matrix is ​​constructed in the compensation test; A closed-loop compensation mapping relationship in a car washing machine circuit board failure scenario is generated based on the signal integrity verification matrix and the adaptive compensation pulse sequence.

[0014] In this embodiment, a high-precision infrared thermal imager is used to perform a comprehensive scan of the circuit board of the car washing machine when performing regional heat source scanning on the circuit board of the car washing machine.

[0015] In a second aspect, the present application provides an automatic testing system for a multifunctional car washing machine circuit board, which is used to perform an automatic testing method for a multifunctional car washing machine circuit board, and the testing system includes: A test input module, used to apply a test signal to the input port of the car washing machine circuit board through a signal generator, and collect feedback response instructions from the output port of the car washing machine circuit board in real time; An operation test module is used to perform timing matching on the feedback response instruction in various working modes of the car washing machine to obtain a dynamic timing deviation of the car washing machine in each working mode, and then determine the failure loss level of the car washing machine circuit board when the operation fails according to the dynamic timing deviation of the car washing machine in all working modes; An offset test module is used to perform regional heat source scanning on the car washing machine circuit board, identify the failure distribution information of the car washing machine circuit board when an operation failure occurs, isolate the failure distribution information in sections, obtain the failure isolation degree of the car washing machine circuit board when an operation failure occurs, and then determine the homomorphic offset period when the car washing machine circuit board is tested according to the failure isolation degree and the failure loss level; The compensation test module is used to perform automatic compensation test on the car washing machine circuit board according to the isomorphic offset cycle.

[0016] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: A test signal is applied to the input port of the car washing machine circuit board through a signal generator, and feedback response instructions of the output port of the car washing machine circuit board are collected in real time; the feedback response instructions are time-matched in various working modes of the car washing machine to obtain the dynamic timing deviation of the car washing machine in each working mode, and then the failure loss level of the car washing machine circuit board when it fails in operation is determined according to the dynamic timing deviation of the car washing machine in all working modes; a regional heat source scan is performed on the car washing machine circuit board to identify the failure distribution information of the car washing machine circuit board when it fails in operation, and the failure distribution information is segmented and isolated to obtain the failure isolation degree of the car washing machine circuit board when it fails in operation, and then the homomorphic offset period of the car washing machine circuit board during the test is determined according to the failure isolation degree and the failure loss level; an automatic compensation test is performed on the car washing machine circuit board according to the homomorphic offset period.

[0017] It can be seen that in the present application, the performance fluctuations of the circuit board under different loads, temperature changes and other conditions can be accurately captured; among them, by applying dynamic test signals and collecting feedback response instructions in real time, the actual operation of the circuit board in different working modes can be accurately simulated, which is helpful to discover and analyze the performance fluctuations of the circuit board under different loads and environmental conditions; through timing matching and dynamic timing deviation analysis, the timing changes of the circuit board in each working mode can be accurately identified, so as to conduct in-depth analysis of the failure mode, which is helpful to accurately evaluate the failure loss level of the circuit board and ensure the stability and safety of the circuit board operation; through heat source scanning and segmented isolation of failure distribution information, the abnormal heat source area in the circuit board can be located, and its impact on system failure can be quantified, which is helpful to identify and isolate potential fault areas at an early stage and improve the stability and reliability of the circuit board; by dynamically adjusting the homomorphic offset period of the test signal, the signal failure caused by timing deviation or heat source abnormality can be compensated in real time, thereby ensuring the accuracy and signal integrity of the test process, further optimizing the automatic compensation performance of the circuit board, and improving the system's automation level and test accuracy.

[0018] In summary, the technical solution adopted in the present application can perform failure detection in the circuit board test of the multi-functional car washing machine by applying dynamic test signals and combining heat source scanning and timing matching to improve the real-time performance of the circuit board test. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0020] Figure 1 is a flow chart of an automatic testing method for a multifunctional car washing machine circuit board provided by the present application; Figure 2 is a schematic diagram of a process for determining dynamic timing deviation provided by the present application; Figure 3 It is a schematic diagram of a process for determining a homomorphic shift period provided by the present application; Figure 4 It is a module structure diagram of the automatic test of the multifunctional car washing machine circuit board provided in this application. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0022] The embodiment of the present application provides an automatic testing method and system for a multifunctional car washing machine circuit board, the core of which is to apply a test signal to the input port of the car washing machine circuit board through a signal generator, and collect feedback response instructions from the output port of the car washing machine circuit board in real time; perform timing matching on the feedback response instructions in various working modes of the car washing machine to obtain the dynamic timing deviation of the car washing machine in each working mode, and then determine the failure loss level of the car washing machine circuit board when it fails in operation according to the dynamic timing deviation of the car washing machine in all working modes; perform regional heat source scanning on the car washing machine circuit board to identify the failure distribution information of the car washing machine circuit board when it fails in operation, isolate the failure distribution information in sections, and obtain the failure isolation degree of the car washing machine circuit board when it fails in operation, and then determine the homomorphic offset period of the car washing machine circuit board during testing according to the failure isolation degree and the failure loss level; and perform automatic compensation test on the car washing machine circuit board according to the homomorphic offset period.

[0023] Embodiment 1: In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Figure 1 As shown in FIG. 1 , this figure is an exemplary flow chart of the automatic testing method of the multifunctional car washing machine circuit board according to the embodiment of the present application, and the testing method includes the following steps: In step S1, a test signal is applied to the input port of the car washing machine circuit board through a signal generator, and feedback response instructions of the output port of the car washing machine circuit board are collected in real time.

[0024] In the specific implementation, first, select a programmable signal generator, configure the required test signal type, including square wave, pulse signal, sine wave, CAN bus command, etc., connect the output end of the signal generator to the input port of the car washing machine circuit board, such as GPIO port, PWM control port or CAN communication interface, and then set the amplitude, frequency, and duty cycle of the test signal to ensure that the signal parameters meet the working requirements of the car washing machine circuit board. Then, connect high-precision data acquisition equipment such as oscilloscope, logic analyzer or CAN bus analyzer to the output port of the car washing machine circuit board, namely: relay output, PWM modulation signal, CAN data frame, etc., and then set the trigger condition. The trigger condition can be the rising edge, falling edge, voltage threshold value, so as to accurately capture the feedback response instruction. After collecting the data, the signal is stored in the computer and analyzed by data processing software (such as MATLAB, LabVIEW or Python processing script), and the output result of the data processing software is used as the feedback response instruction of the output port of the car washing machine circuit board.

[0025] It should be noted that in this application, a signal generator is an electronic device that generates various electrical signals; a test signal represents a table or document that records and displays parameter configurations such as different test signal types, frequencies, amplitudes, etc.; a feedback response instruction refers to the electrical signal output communication response of the car wash machine circuit board after receiving the input signal.

[0026] In step S2, the feedback response instructions are time-matched in various working modes of the car washing machine to obtain the dynamic timing deviation of the car washing machine in each working mode, and then the failure loss level of the car washing machine circuit board when an operation failure occurs is determined based on the dynamic timing deviation of the car washing machine in all working modes.

[0027] Preferably, in this embodiment, the feedback response instructions are time-matched in various working modes of the car washing machine to obtain the dynamic timing deviation of the car washing machine in each working mode. Figure 2 As shown, this figure is a schematic diagram of a process for determining a dynamic timing deviation in some embodiments of the present application. In this embodiment, determining the dynamic timing deviation can be implemented by the following steps: In step S21, the timing execution data of the feedback response instruction in various working modes of the car washing machine is obtained, and the dynamic time characteristics between the instruction triggering and the mechanical action are extracted.

[0028] In step S22, based on the control logic requirements of different modes and the timing execution data, a response threshold boundary for transmitting the car washing machine command to the execution terminal is determined; In step S23, the delay fluctuation range of the car washing machine in each working mode is aligned with the dynamic time feature to obtain the instruction matching degree in various working modes of the car washing machine; In step S24, the dynamic timing deviation of the car washing machine in each working mode is determined according to the instruction matching degree and the response threshold boundary.

[0029] In the specific implementation, first, a standardized test signal is input to the car washing machine through a signal generator, and a high-precision data acquisition device is used to capture the feedback response instructions of the output port in real time. Then, a motion sensor or a high-frame rate industrial camera is used to monitor the mechanical action of the key components of the car washing machine and record the timestamp of the mechanical response. According to the input trigger time of the test signal and the start time of the mechanical action, the dynamic time characteristics between the instruction trigger and the mechanical action are calculated and extracted. The specific method can use the dynamic time warping (DTW) algorithm for timing data matching and delay analysis. Then, the control requirements of different working modes of the car washing machine are analyzed. Different working modes refer to automatic car washing mode, manual adjustment mode, abnormal detection mode, etc. According to the task requirements in each mode, the response time of the instruction from the circuit board to the execution terminal, such as the motor, sensor, valve, etc., is determined. According to the timing data of the feedback response instruction, a time boundary range is set as the response threshold boundary for the instruction to be transmitted to the execution terminal. Then, the dynamic time characteristics under different working modes are analyzed to evaluate the possible delay fluctuation range in the instruction transmission process, including time changes caused by load changes, environmental factors, etc. Based on the delay fluctuation range and the actual dynamic time characteristics, the time alignment algorithm is used, which can be the least squares method and dynamic time warping, to adjust the time deviation between the two, and the rhythm output by the alignment algorithm is used as the command matching degree in each mode. Finally, the deviation percentage is calculated, that is, the difference between the command matching degree and the response threshold boundary is quantified as a deviation value, that is, the dynamic timing deviation of the car washing machine in each working mode. According to the calculated deviation value, the dynamic timing deviation in each working mode is analyzed to determine the timing mismatch or delay problem that may exist in the system during operation.

[0030] It should be noted that, in the present application, the timing execution data represents the execution time, sequence and related dynamic response characteristics of each operation instruction; the dynamic time characteristics represent the time delay and fluctuation between the instruction trigger and the mechanical action; the response threshold boundary represents the range between the expected minimum response time and the maximum response time; the instruction matching degree represents the degree of timing alignment between the instruction transmission and the mechanical response; the dynamic timing deviation represents the time difference between the instruction execution and the mechanical action response.

[0031] In this embodiment, the following steps can be used to determine the failure loss level of the circuit board of the car washing machine when it fails in operation according to the dynamic timing deviation of the car washing machine in all working modes: Determine the timing correlation characteristics of abnormal transmission and execution signal of the car washing machine circuit board command according to the dynamic timing deviation; Determine the operating state deviation and failure impact attributes of different submodules of the car washing machine under operating deviation according to the time series correlation characteristics; The failure loss level of the car washing machine circuit board when an operation failure occurs is determined according to the operation state deviation and the failure impact attribute.

[0032] In the specific implementation, first, according to the timing data of the feedback response instruction, the time deviation between the instruction transmission to the execution signal, such as motor start and sensor feedback, is analyzed. By comparing with the timing in the normal working mode, the abnormal deviation outside the timing fluctuation range is identified, and the relationship between these abnormal deviations and signal abnormalities is statistically modeled by correlation analysis or regression analysis to form timing correlation characteristics. Then, based on the timing correlation characteristics, the operating status of the submodules such as the car washing machine motor drive, sensor feedback system, and controller under the influence of timing deviation is analyzed. For example, the deviation of the motor drive system can be evaluated by signal attenuation analysis, or the stability of the control system can be evaluated by the error conduction model. According to the functional importance of the submodule and the response capability under timing abnormality, the failure influence attribute of each submodule is determined. The failure influence of the module can be quantitatively evaluated using the fault tree analysis (FTA) or failure mode effect analysis (FMEA) method. Finally, combined with the operating state deviation and failure influence attribute, the hierarchical analysis method AHP, fuzzy mathematical model, etc. are used for weighted calculation, and the operating state deviation and failure influence attribute of each submodule are weighted and synthesized to determine the overall failure loss level of the car washing machine circuit board. According to the weighted influence of each sub-module, different failure loss levels are divided into mild loss, moderate loss and severe loss, and the final failure loss level is output through the model.

[0033] It should be noted that, in the present application, the timing correlation feature represents the time relationship between instruction transmission and execution signal, including abnormal fluctuations, delays and their impact on system performance; the operating state deviation represents the degree of performance change of each sub-module under the influence of timing deviation; the failure impact attribute represents the degree of impact of each sub-module on the overall performance and function when a failure occurs; the failure loss level represents the different levels of impact of the failure on the overall function and performance when an operation failure occurs.

[0034] In step S3, a regional heat source scan is performed on the car washing machine circuit board to identify the failure distribution information of the car washing machine circuit board when an operational failure occurs, and the failure distribution information is segmented and isolated to obtain the failure isolation degree of the car washing machine circuit board when an operational failure occurs. The homomorphic offset period during the car washing machine circuit board test is then determined based on the failure isolation degree and the failure loss level.

[0035] In this embodiment, regional heat source scanning is performed on the car washing machine circuit board to identify the failure distribution information when the car washing machine circuit board fails in operation. The following steps can be used to achieve this: Use an infrared thermal imager to perform regional heat source scanning on the car washing machine circuit board to obtain dynamic temperature gradient distribution data of each area of ​​the circuit board under different working modes; Determine the heat source concentration in the abnormal temperature rise area of ​​the circuit board based on the heat conduction model; The failure distribution information of the car washing machine circuit board when an operation failure occurs is determined by the dynamic temperature gradient distribution data and the heat source concentration.

[0036] In the specific implementation, first, a high-precision infrared thermal imager is used to perform a comprehensive scan of the car washing machine circuit board when performing regional heat source scanning on the car washing machine circuit board to ensure that the resolution, temperature range and measurement accuracy of the thermal imager meet the requirements. The circuit board is placed in the scanning area of ​​the thermal imager in different working modes, including standby mode, working mode, and abnormal mode, and the temperature data of each area of ​​the circuit board is recorded. The dynamic temperature gradient distribution diagram under each working mode is obtained by the thermal imager, and the temperature changes in different areas are recorded, and dynamic temperature gradient distribution data is generated. Then, the heat conduction formula and numerical analysis method are used to model the thermal conduction characteristics of the circuit board, simulate the distribution of heat on the circuit board, and establish the heat conduction equation through the known thermal conductivity of circuit board materials such as PCB boards, copper wires, etc. Combined with the dynamic temperature gradient distribution data, the temperature change rate of each area and its heat source concentration are analyzed, and the heat source concentration is calculated using a linear fitting algorithm. High concentration areas usually represent high-load areas or potential fault sources in the circuit board. Finally, combining the heat source concentration and dynamic temperature gradient distribution data, the K-means clustering algorithm or the anomaly detection algorithm is used for data mining, and the temperature data is processed to identify areas on the circuit board where the temperature rises significantly and has clustering characteristics. The heat source concentration areas are compared with the functional modules of the circuit board to determine whether there is a potential failure risk. Based on the identified abnormal heat source areas, a failure distribution map of the circuit board is drawn, and the high-temperature areas or heat source concentration areas where failures may occur are clearly marked. The information of this area is used as the failure distribution information when the car washing machine circuit board fails during operation.

[0037] It should be noted that in the present application, the dynamic temperature gradient distribution data represents the spatial distribution and rate of change of temperature changes in various areas of the circuit board under different operating modes; the heat source concentration degree represents the degree of heat concentration in the abnormal temperature rise area of ​​the circuit board; and the failure distribution information represents the potential failure area on the circuit board due to abnormal temperature or heat source concentration.

[0038] In this embodiment, the failure distribution information is segmented and isolated to obtain the failure isolation degree of the car washing machine circuit board when the circuit board fails during operation. The following steps can be used to achieve this: According to the failure distribution information, the abnormal heat source area of ​​the car washing machine circuit board is spatially clustered and segmented to generate a failure isolation interval based on the heat source concentration; Determining a cross-zone signal correlation amount of a failure feature within the failure isolation interval; The failure isolation degree of the car washing machine circuit board when an operation failure occurs is determined by the cross-zone signal correlation amount.

[0039] In the specific implementation, first, according to the failure distribution information, the K-means clustering algorithm is used to spatially cluster the abnormal heat source areas on the car washing machine circuit board. The clustering algorithm can divide the abnormal heat source areas into different categories or intervals according to the temperature change characteristics of the area, and then determine the heat source density of each clustering interval by analyzing the heat source concentration. For example, the area with a higher heat source concentration indicates that the circuit board is more likely to fail. According to the clustering results, different failure isolation intervals are divided. The failure risk and heat source concentration in each interval are similar, while different intervals are relatively independent, forming an effective isolation area, that is, a failure isolation interval based on heat source concentration. Then, the signal response characteristics between different failure isolation intervals are analyzed, especially through the signal propagation path or the temperature change propagation path, to determine the degree of correlation between the intervals. Statistical methods, such as correlation coefficient and cross-correlation, can be used to analyze the interaction of signals in different areas, and the calculation results are used as the cross-area signal correlation quantity. Combined with the functional modules of the circuit board, the failure characteristics in each failure isolation interval are evaluated. The failure characteristics can cause temperature changes, heat source concentration, etc., and analyze how these characteristics affect other areas across regions. Finally, based on the obtained cross-zone signal correlation, the evaluation criteria for failure isolation are designed. Failure isolation is usually measured by mutual information and correlation coefficient association metrics. If the correlation between two intervals is high, it means that the failure is more propagable and the failure isolation is lower. Conversely, if the correlation is low, the failure isolation is higher. The correlation between all failure isolation intervals is combined to generate an overall failure isolation index.

[0040] It should be noted that in the present application, the failure isolation interval represents the isolated potential fault propagation area on the circuit board; the cross-zone signal correlation quantity represents the degree of mutual influence of signal responses between different failure isolation intervals; and the failure isolation degree represents the degree of isolation of fault propagation between different areas when the circuit board fails during operation.

[0041] Preferably, in this embodiment, the isomorphic offset period during the car washing machine circuit board test is determined by the failure isolation degree and the failure loss level, referring to Figure 3 As shown, this figure is a schematic diagram of a process for determining a homomorphic offset period in some embodiments of the present application. In this embodiment, determining the homomorphic offset period can be implemented by using the following steps: In step S31, the isomorphic offset baseline parameters of heat source anomaly and signal failure in circuit board testing are extracted through the association weight between the failure isolation degree and the failure loss level; In step S32, based on the failure isolation and failure loss quantification model, a dynamic time-varying mapping function of heat source-signal coordinated failure is constructed; In step S33, the timing drift correction factor of heat source anomaly and signal failure in circuit board testing is determined in combination with the dynamic time-varying mapping function; In step S34, the isomorphic offset period during the car washing machine circuit board test is determined according to the isomorphic offset baseline parameter and the timing drift correction factor.

[0042] In the specific implementation, first, through the quantified failure isolation and failure loss levels, a relationship model between the two is established. The failure isolation reflects the fault propagation capability between different regions, while the failure loss level reflects the severity of the fault. The correlation weight between the two is determined by the weighted average method or regression analysis method. Then, based on the correlation weight, the homomorphic offset baseline parameters of the circuit board when the heat source anomaly and signal failure occur are extracted, which usually involves the synchronous change mode of the heat source anomaly and the signal failure, and their influence under different working modes. Then, through the failure isolation and failure loss levels, a dynamic heat source-signal collaborative failure quantification model is constructed. The model takes into account how the temperature anomaly and signal failure work together and jointly affect the performance of the circuit board. Then a dynamic time-varying mapping function is established. The dynamic time-varying mapping function describes the relationship between the heat source and signal failure over time. The dynamic time-varying mapping function considers the rate of temperature change, the signal transmission delay, and the time-varying characteristics of their interaction. For example, the dynamic time-varying mapping function depends on the time-varying signal delay and the change of the heat source concentration, which jointly affect the failure process of the circuit board. Then, based on the dynamic time-varying mapping function, the timing drift of the heat source anomaly and signal failure is analyzed. By measuring the delay change of the signal of the circuit board during the test, the timing drift between the heat source anomaly and the signal failure is calculated. By comparing the signal response in the normal working mode and the fault mode, a correction factor is calculated, and the correction factor is used as the timing drift correction factor to adjust the difference in signal failure time caused by the heat source anomaly. The timing drift correction factor can help compensate for the timing drift, thereby reducing the error of the test results. Finally, the homomorphic offset baseline parameter and the timing drift correction factor are combined to calculate the homomorphic offset period during the car washing machine circuit board test. The product of the homomorphic offset baseline parameter and the timing drift correction factor can be used as the homomorphic offset period, or it can be calculated by other formulas or numerical simulations. It is verified and adjusted according to the actual test data, which is not limited here.

[0043] It should be noted that in the present application, the homomorphic offset baseline parameter represents the reference time relationship between the heat source anomaly and the signal failure; the dynamic time-varying mapping function is a model that describes the relationship between the heat source anomaly and the signal failure that changes over time; the timing drift correction factor represents the correction value used to adjust the signal failure time difference caused by the heat source anomaly; the homomorphic offset period represents the time period of the circuit board response change under the synergistic effect of the heat source anomaly and the signal failure.

[0044] In step S4, an automatic compensation test is performed on the car washing machine circuit board according to the homomorphic offset cycle.

[0045] In this embodiment, the automatic compensation test of the car washing machine circuit board according to the homomorphic offset cycle can be implemented by the following steps: Generate an adaptive compensation pulse sequence of a circuit board test signal according to the isomorphic offset period; By collecting the attenuation gradient of the circuit board's response signal in real time, a signal integrity verification matrix is ​​constructed in the compensation test; A closed-loop compensation mapping relationship in a car washing machine circuit board failure scenario is generated based on the signal integrity verification matrix and the adaptive compensation pulse sequence.

[0046] In the specific implementation, first, according to the homomorphic offset period, a corresponding compensation pulse sequence is generated for the circuit board test signal. The adaptive compensation pulse sequence should take into account the timing drift of the signal and be able to adjust the test signal to compensate for the timing deviation caused by abnormal heat source and signal failure. The adaptive compensation pulse sequence calculates the correction pulse to be applied by comparing the timing response in the failure mode with the timing response in the normal mode. The correction pulse will be adaptively combined with the original test signal to restore it to the normal state as much as possible. Then, during the test process, by real-time monitoring the attenuation of the response signal of the circuit board, the change of signal strength over time is recorded, which helps to evaluate the attenuation characteristics of the signal under different temperature, load and other conditions. Then, based on the collected signal attenuation data, a signal integrity verification matrix is ​​constructed. Each element of the signal integrity verification matrix represents the signal attenuation under specific conditions, thereby comparing the signal quality under normal state and failure state. For example, the matrix can show whether the signal strength of the circuit board response meets expectations in different working modes, and can verify whether the signal is fully transmitted through the matrix data. Finally, a closed-loop compensation mapping relationship is established by using an algorithm. The closed-loop compensation mapping relationship is used to adjust the compensation pulse sequence in real time so that it can be adaptively adjusted according to the attenuation of the response signal of the circuit board. The mapping relationship can be generated by machine learning or optimization algorithms, taking into account the validation matrix data of signal integrity and the validity of the compensation pulse sequence. For example, if the signal attenuation is severe, the closed-loop compensation mapping relationship will indicate a stronger compensation pulse output to ensure signal integrity recovery. This completes the automatic compensation test of the car washing machine circuit board.

[0047] It should be noted that in this application, the adaptive compensation pulse sequence refers to the data sequence of the timing drift of the circuit board response and the timing error of the test signal corrected in the failure mode; the response signal attenuation gradient represents the attenuation rate of the signal strength of the circuit board under different working conditions, which changes with time or state. The signal integrity verification matrix represents a data structure for recording and analyzing signal attenuation and transmission quality, which is used to evaluate the integrity and stability of the circuit board response signal under different conditions.

[0048] It can be seen that in the present application, the performance fluctuations of the circuit board under different loads, temperature changes and other conditions can be accurately captured; among them, by applying dynamic test signals and collecting feedback response instructions in real time, the actual operation of the circuit board in different working modes can be accurately simulated, which is helpful to discover and analyze the performance fluctuations of the circuit board under different loads and environmental conditions; through timing matching and dynamic timing deviation analysis, the timing changes of the circuit board in each working mode can be accurately identified, so as to conduct in-depth analysis of the failure mode, which is helpful to accurately evaluate the failure loss level of the circuit board and ensure the stability and safety of the circuit board operation; through heat source scanning and segmented isolation of failure distribution information, the abnormal heat source area in the circuit board can be located, and its impact on system failure can be quantified, which is helpful to identify and isolate potential fault areas at an early stage and improve the stability and reliability of the circuit board; by dynamically adjusting the homomorphic offset period of the test signal, the signal failure caused by timing deviation or heat source abnormality can be compensated in real time, thereby ensuring the accuracy and signal integrity of the test process, further optimizing the automatic compensation performance of the circuit board, and improving the system's automation level and test accuracy.

[0049] In summary, the technical solution adopted in the present application can perform failure detection in the circuit board test of the multi-functional car washing machine by applying dynamic test signals and combining heat source scanning and timing matching to improve the real-time performance of the circuit board test.

[0050] Embodiment 2: This application provides an automatic testing system for a multifunctional car washing machine circuit board. Figure 4 As shown, this figure is a module structure diagram of the automatic testing system of the multifunctional car washing machine circuit board shown in this embodiment of the present application, and the testing system includes: The test input module 100 is used to apply a test signal to the input port of the car washing machine circuit board through a multi-channel signal generator, and collect feedback response instructions from the output port of the car washing machine circuit board in real time; The operation test module 200 is used to perform timing matching on the feedback response instruction in various working modes of the car washing machine, obtain the dynamic timing deviation of the car washing machine in each working mode, and then determine the failure loss level of the circuit board of the car washing machine when the operation fails according to the dynamic timing deviation of the car washing machine in all working modes; The offset test module 300 is used to perform regional heat source scanning on the car washing machine circuit board, identify the failure distribution information when the car washing machine circuit board fails in operation, isolate the failure distribution information in sections, obtain the failure isolation degree of the car washing machine circuit board when the operation fails, and then determine the homomorphic offset period when testing the car washing machine circuit board according to the failure isolation degree and the failure loss level; The compensation test module 400 is used to perform automatic compensation test on the car washing machine circuit board according to the isomorphic offset cycle.

[0051] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0052] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, the storage medium including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically-erasable programmable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0053] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

Claims

1. An automatic testing method for a multifunctional car washing machine circuit board, characterized in that: The testing method comprises the following steps: Apply a test signal to the input port of the car washing machine circuit board through a signal generator, and collect feedback response instructions from the output port of the car washing machine circuit board in real time; Performing timing matching on the feedback response instructions in various working modes of the car washing machine to obtain a dynamic timing deviation of the car washing machine in each working mode, and then determining the failure loss level of the circuit board of the car washing machine when the operation fails according to the dynamic timing deviation of the car washing machine in all working modes; Perform regional heat source scanning on the car washing machine circuit board, identify the failure distribution information of the car washing machine circuit board when the operation failure occurs, isolate the failure distribution information in sections, obtain the failure isolation degree of the car washing machine circuit board when the operation failure occurs, and then determine the homomorphic offset period when testing the car washing machine circuit board according to the failure isolation degree and the failure loss level; An automatic compensation test is performed on the car washing machine circuit board according to the homomorphic offset cycle.

2. The automatic testing method of a multifunctional car washing machine circuit board according to claim 1, characterized in that: The feedback response instruction refers to the electrical signal output communication response of the car washing machine circuit board after receiving the input signal.

3. The automatic testing method of a multifunctional car washing machine circuit board according to claim 1, characterized in that: The feedback response instruction is time-matched in various working modes of the car washing machine to obtain the dynamic time deviation of the car washing machine in each working mode, specifically including: Obtaining the timing execution data of the feedback response command in various working modes of the car washing machine, and extracting the dynamic time characteristics between the command triggering and the mechanical action; Based on the control logic requirements of different modes and the timing execution data, determining the response threshold boundary of the car washing machine command transmitted to the execution terminal; According to the delay fluctuation range of the car washing machine in each working mode, the dynamic time feature is aligned to obtain the instruction matching degree in various working modes of the car washing machine; The dynamic timing deviation of the car washing machine in each working mode is determined according to the instruction matching degree and the response threshold boundary.

4. The automatic testing method of a multifunctional car washing machine circuit board according to claim 1, characterized in that: The failure loss level of the car washing machine circuit board when it fails in operation is determined based on the dynamic timing deviation of the car washing machine in all working modes, including: Determine the timing correlation characteristics of the abnormality of the transmission and execution signal of the circuit board of the car washing machine according to the dynamic timing deviation; Determine the operating state deviation and failure impact attributes of different submodules of the car washing machine under operating deviation according to the time series correlation characteristics; The failure loss level of the car washing machine circuit board when an operation failure occurs is determined according to the operation state deviation and the failure impact attribute.

5. The automatic testing method of a multifunctional car washing machine circuit board according to claim 1, characterized in that: Perform regional heat source scanning on the car washing machine circuit board to identify the failure distribution information when the car washing machine circuit board fails during operation. The specific information includes: Use an infrared thermal imager to perform regional heat source scanning on the car washing machine circuit board to obtain dynamic temperature gradient distribution data of each area of ​​the circuit board under different working modes; Determine the heat source concentration in the abnormal temperature rise area of ​​the circuit board based on the heat conduction model; The failure distribution information of the car washing machine circuit board when an operation failure occurs is determined by the dynamic temperature gradient distribution data and the heat source concentration.

6. The automatic testing method of a multifunctional car washing machine circuit board according to claim 1, characterized in that: The failure distribution information is segmented and isolated to obtain the failure isolation degree of the car washing machine circuit board when the circuit board fails during operation, specifically including: According to the failure distribution information, the abnormal heat source area of ​​the car washing machine circuit board is spatially clustered and segmented to generate a failure isolation interval based on the heat source concentration; Determining a cross-zone signal correlation amount of a failure feature within the failure isolation interval; The failure isolation degree of the car washing machine circuit board when an operation failure occurs is determined by the cross-zone signal correlation amount.

7. The automatic testing method of a multifunctional car washing machine circuit board according to claim 1, characterized in that: Determining the homomorphic offset period during the car washing machine circuit board test by the failure isolation degree and the failure loss level specifically includes: Extracting the homomorphic offset baseline parameters of heat source anomaly and signal failure in circuit board testing through the association weight between the failure isolation degree and the failure loss level; Based on the failure isolation and failure loss quantification model, a dynamic time-varying mapping function of heat source-signal coordinated failure is constructed; In combination with the dynamic time-varying mapping function, a timing drift correction factor for heat source anomaly and signal failure in circuit board testing is determined; The isomorphic offset period during the car washing machine circuit board test is determined according to the isomorphic offset baseline parameter and the timing drift correction factor.

8. The automatic testing method of a multifunctional car washing machine circuit board according to claim 1, characterized in that: The automatic compensation test of the car washing machine circuit board according to the homomorphic offset cycle specifically includes: Generate an adaptive compensation pulse sequence of a circuit board test signal according to the isomorphic offset period; By collecting the attenuation gradient of the circuit board's response signal in real time, a signal integrity verification matrix is ​​constructed in the compensation test; A closed-loop compensation mapping relationship in a car washing machine circuit board failure scenario is generated based on the signal integrity verification matrix and the adaptive compensation pulse sequence.

9. The automatic testing method of a multifunctional car washing machine circuit board according to claim 1, characterized in that: When performing regional heat source scanning on the car washing machine circuit board, a high-precision infrared thermal imager is used to conduct a comprehensive scan of the car washing machine circuit board.

10. An automatic testing system for a multifunctional car washing machine circuit board, used to execute an automatic testing method for a multifunctional car washing machine circuit board as claimed in any one of claims 1 to 9, characterized in that: The test system comprises: A test input module, used to apply a test signal to the input port of the car washing machine circuit board through a signal generator, and collect feedback response instructions from the output port of the car washing machine circuit board in real time; An operation test module is used to perform timing matching on the feedback response instruction in various working modes of the car washing machine to obtain a dynamic timing deviation of the car washing machine in each working mode, and then determine the failure loss level of the car washing machine circuit board when the operation fails according to the dynamic timing deviation of the car washing machine in all working modes; An offset test module is used to perform regional heat source scanning on the car washing machine circuit board, identify the failure distribution information of the car washing machine circuit board when an operation failure occurs, isolate the failure distribution information in sections, obtain the failure isolation degree of the car washing machine circuit board when an operation failure occurs, and then determine the homomorphic offset period when the car washing machine circuit board is tested according to the failure isolation degree and the failure loss level; The compensation test module is used to perform automatic compensation test on the car washing machine circuit board according to the isomorphic offset cycle.

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