A round run-out quality inspection system and detection device for a belt pulley of an automobile air conditioner

Abstract

The application relates to the technical field of round runout detection, in particular to a round runout quality detection system and detection device for a belt wheel of an automobile air conditioner. The system comprises a data acquisition module for acquiring pressure data and point cloud positions in the detection process; a detection restart module for determining a detection restart time point according to abnormal fluctuation of the pressure and position offset change condition, and adjusting the detection speed according to the abnormal degree of the time sequence before the detection restart time point and continuing the detection; an error compensation analysis module for obtaining a correction compensation value according to the detection restart time point and the distribution of dynamic error compensation values in multiple detection processes, and combining the overall position offset degree in single detection process; and a round runout quality detection module for performing offset compensation analysis of the round runout according to the compensation value. The application controls the start and stop through the pressure and position offset, adjusts the speed for detection, effectively analyzes and corrects the error compensation according to the start and stop conditions of multiple detections, reduces the measurement error, and obtains more accurate round runout.

Description

Technical Field

[0001] This invention relates to the field of circular runout detection technology, specifically to a circular runout inspection system and detection device for automotive air conditioning pulleys. Background Technology

[0002] The automotive air conditioning pulley is a core transmission component connecting the engine and the air conditioning compressor. It transmits power to the compressor via a belt. Its typical structure includes a central shaft, hub, and multi-grooved toothed edges made of metal or composite materials. Runout refers to the offset of the rotating component's surface relative to its ideal axis, directly affecting the pulley's coaxiality and operational stability. Excessive runout can lead to abnormal belt wear, reduced transmission efficiency, increased vibration and noise in the air conditioning system, and even compressor malfunction. Therefore, quality inspection of the runout of automotive air conditioning pulleys is essential.

[0003] Currently, the quality inspection of the circular runout of automotive air conditioning pulleys is typically performed using a coordinate measuring machine (CMM). The contact-triggered measurement method of the CMM requires point-by-point data acquisition. When the pulley surface condition is complex, the frequency of adjusting and switching probes or adjusting the probe speed during the process will increase. This leads to an increase in overall inspection errors, and inaccurate error correction will result in lower precision of the final circular runout result, making high-quality inspection results less reliable. Summary of the Invention

[0004] To address the technical problem in existing technologies where adjusting the probe or its detection speed becomes more frequent when the surface condition of the pulley is complex, leading to increased errors in the overall detection process and inaccurate error correction resulting in lower precision of the circular runout results, the present invention aims to provide a circular runout quality inspection system and detection device for automotive air conditioning pulleys. The specific technical solution adopted is as follows:

[0005] This invention provides a quality inspection system for the circular runout of automotive air conditioning pulleys, the system comprising:

[0006] The data acquisition module is used to acquire the pressure time-series data and point cloud position of the probe during each testing process of the car air conditioning pulley under test;

[0007] The detection restart module is used to determine the detection restart time and stop detection by the maximum degree of drift change of continuous point cloud positions and abnormal fluctuations of pressure time series data before each time step; based on the magnitude of abnormal fluctuations of pressure time series data and the magnitude of drift change of point cloud positions in continuous time series before the detection restart time, the detection speed of the probe is adjusted and detection is restarted to continue.

[0008] The error compensation analysis module is used to analyze the distribution order of the number of detection restart times and the magnitude of dynamic error compensation values ​​in each detection process across all detection processes. Based on the differences in the distribution order, the effective compensation index for each detection process is obtained. Based on the effective compensation index for each detection process and the degree of offset of the point cloud position, the dynamic error compensation value is corrected to obtain the corrected compensation value.

[0009] The circular runout quality inspection module is used to compensate for and analyze the offset of the measuring point based on the correction compensation values ​​of all testing processes, and to obtain the circular runout of the automotive air conditioning pulley under test for quality inspection.

[0010] Furthermore, the method for obtaining the detection restart time includes:

[0011] During each detection process, when the pressure time series data exceeds the preset pressure threshold, the difference between the corresponding pressure time series data and the preset pressure threshold is taken as the abnormal fluctuation amplitude.

[0012] The Euclidean distance between each point cloud position of the probe and the preset path is used as the drift degree; the drift degree from the current time to the start of detection is curve fitted to obtain the fluctuation curve; the non-zero slopes on the fluctuation curve are accumulated, and when the accumulated value is greater than the preset abnormal threshold, the corresponding time is used as the detection restart time.

[0013] Furthermore, after determining the detection restart time, the process also includes:

[0014] If abnormal fluctuations are detected within a preset neighborhood range before the restart time, a foreign object probe check will be initiated; otherwise, a speed adjustment will be initiated.

[0015] Furthermore, the step of adjusting the probe's detection speed and restarting detection after adjusting the magnitude of abnormal fluctuations in the pressure time series data and the magnitude of drift changes in the point cloud position based on the detection restart time includes:

[0016] After issuing a speed adjustment reminder, between the current detection restart time and the previous detection start time, the product of the mean of all abnormal fluctuation amplitudes and the last slope on the fluctuation curve is normalized to obtain the speed adjustment coefficient; the product of the speed adjustment coefficient and the preset maximum adjustment value is used as the speed adjustment degree.

[0017] The difference between the detection speed before the current detection restart time and the rate adjustment degree is used as the adjusted detection rate; the probe is restarted to continue detection at the adjusted detection rate.

[0018] Furthermore, the method for obtaining the effective compensation index includes:

[0019] In each detection process, the initial dynamic error compensation value is obtained based on the Newton-Euler equation; all detection processes are arranged in ascending order of the number of speed adjustment reminders to obtain the reminder sequence; all detection processes are arranged in ascending order of the initial dynamic error compensation value to obtain the compensation sequence.

[0020] The difference between the sequence number of each detection process in the reminder sequence and the sequence number in the compensation sequence is normalized to obtain the effective compensation index for each detection process.

[0021] Furthermore, the method for obtaining the correction compensation value includes:

[0022] When the effective compensation index is zero, the correction coefficient for the corresponding detection process is set to 1;

[0023] In each detection process, the Euclidean distance between each point cloud position and the preset path is calculated, and the mean of the distance is taken as the offset amplitude. The product of the absolute value of the effective compensation index and the offset amplitude is normalized to obtain the correction coefficient. The product of the correction coefficient and the preset correction value is taken as the correction degree.

[0024] Based on the positive or negative sign of the effective indicators of the detection process, and combined with the initial dynamic error compensation value and the correction degree, the correction compensation value of the detection process is obtained.

[0025] Furthermore, the correction compensation value for the detection process is obtained by combining the positive and negative signs of the effective indicators based on the detection process with the initial dynamic error compensation value and the correction degree, including:

[0026] When the effective compensation index of the detection process is less than zero, the difference between the initial dynamic error compensation value and the correction degree is used as the correction compensation value of the detection process.

[0027] When the effective compensation index of the corresponding detection process is greater than zero, the sum of the initial dynamic error compensation value and the correction degree is used as the correction compensation value of the corresponding detection process.

[0028] Furthermore, the step of compensating for and analyzing the measurement point offset based on the correction compensation values ​​of all detection processes to obtain the circular runout of the vehicle air conditioning pulley under test for quality inspection includes:

[0029] In each test process, the position of the measuring point is corrected based on the correction compensation value, and the circular runout value of each test process is obtained based on all the adjusted measuring points in each test process; the average of the circular runout values ​​of all test processes is taken as the circular runout value of the car air conditioning pulley under test.

[0030] When the circular runout value is less than the specified value, the quality inspection result is recorded as unqualified.

[0031] Furthermore, when the number of speed adjustment reminders during a single test exceeds the preset number of reminders, a probe replacement reminder will be issued.

[0032] The present invention also provides a device for detecting the circular runout of an automotive air conditioning pulley, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the quality inspection system for the circular runout of an automotive air conditioning pulley as described in any of the above claims.

[0033] The present invention has the following beneficial effects:

[0034] This invention identifies abnormal moments in probe operation by detecting abnormal pressure fluctuations and positional shifts, allowing for adjustments to address probe malfunctions. Furthermore, based on the severity of the abnormality before restarting the probe, the subsequent detection speed is adjusted, and detection continues, ensuring a complete and reliable process for more accurate circular runout. By analyzing the restart times and dynamic error compensation values ​​across multiple detection cycles, the potential effectiveness of the compensation values ​​is assessed. Combining the effective compensation indicators with the overall positional shift during a single detection, a corrected compensation value is obtained, making the compensation values ​​for the detection data more reliable and accurate. Finally, by integrating the compensation values ​​from all detection cycles, offset compensation analysis is performed on the circular runout, resulting in more accurate detection results. This invention uses pressure and positional shift for start-stop control, adjusts the detection speed, and effectively analyzes and corrects error compensation based on the start-stop patterns of multiple detections, reducing measurement errors and achieving more accurate circular runout. Attached Figure Description

[0035] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a structural diagram of a quality inspection system for the circular runout of an automotive air conditioning pulley, provided in one embodiment of the present invention.

[0037] Figure 2 This is a schematic diagram of point cloud data provided in one embodiment of the present invention. Detailed Implementation

[0038] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a quality inspection system and testing device for the circular runout of an automotive air conditioning pulley according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0040] The following description, in conjunction with the accompanying drawings, details the specific scheme of the quality inspection system and testing device for the circular runout of an automotive air conditioning pulley provided by the present invention.

[0041] Please see Figure 1 The diagram shows a structural diagram of a circular runout inspection system for an automotive air conditioning pulley according to an embodiment of the present invention. The system includes: a data acquisition module 101, a detection and restart module 102, an error compensation and analysis module 103, and a circular runout inspection module 104.

[0042] The data acquisition module 101 is used to acquire the pressure timing data and point cloud position of the probe during each testing process of the automotive air conditioning pulley under test.

[0043] In this embodiment of the invention, a three-dimensional measurement sensor can detect aiming signals and minute displacements in three directions. The probe head is mainly used to detect the object being measured, collect data, and the probe head base can rotate freely. An integrated pressure sensor monitors the pressure value during operation in real time, i.e., pressure time-series data, at a frequency of 10Hz. During measurement, the probe constructs a point cloud data set by contacting the spatial position of the measured point on the pulley, thus acquiring the point cloud position. Please refer to [link to relevant documentation]. Figure 2 The diagram illustrates a point cloud data provided in an embodiment of the present invention.

[0044] To ensure the accuracy of the test results for the automotive air conditioning pulley, multiple tests are typically performed. In this embodiment of the invention, the number of tests is set to three, meaning there are a total of three testing processes. It should be noted that the data collection process can be adjusted by the implementer according to the specific implementation scenario, and no restrictions are imposed here.

[0045] The detection restart module 102 is used to determine the detection restart time and stop detection by the maximum degree of drift change of continuous point cloud positions and abnormal fluctuations of pressure time series data before each time step; based on the magnitude of abnormal fluctuations of pressure time series data and the magnitude of drift change of point cloud positions in continuous time series before the detection restart time, the detection speed of the probe is adjusted and detection is restarted to continue.

[0046] When the surface of the pulley is complex, burrs or foreign objects at the pulley interface may cause the probe to malfunction during operation, potentially leading to collisions. Therefore, it's crucial to first determine if there are any pressure anomalies based on pressure changes and path deviations during operation. Normally, pressure fluctuations along the preset path should be minimal. Significant pressure fluctuations or deviations from the preset path indicate a malfunction. In such cases, immediate stopping, removal of foreign objects, and restarting the probe are necessary.

[0047] Preferably, in this embodiment of the invention, the method for obtaining the restart time includes:

[0048] During each testing process, if the pressure time-series data exceeds the preset pressure threshold, it indicates that the pressure fluctuation of the probe during operation is too large. It is necessary to monitor and adjust the probe's inspection path or movement speed. The difference between the corresponding pressure time-series data and the preset pressure threshold is then used as the abnormal fluctuation amplitude to reflect the degree of extreme fluctuation. In this embodiment of the invention, the preset pressure threshold is 0.5; the specific value can be adjusted by the implementer and is not limited here.

[0049] If the anomaly is caused by foreign objects or other factors, the probe's working path will deviate from the planned path due to collisions and friction with the foreign objects. The Euclidean distance between each point cloud position of the probe and the preset path is then used as the drift degree. A curve is fitted to the drift degree from the current position to the start of detection to obtain a fluctuation curve reflecting the positional fluctuation. In cases of severe surface influence, continuous positional drift will occur. It should be noted that curve fitting is a technique well-known to those skilled in the art, such as least squares fitting, and will not be elaborated upon here.

[0050] Therefore, the non-zero slopes on the fluctuation curve are accumulated. When the accumulated value exceeds the preset abnormal threshold, it indicates that the probe has experienced a significant positional shift during the detection process, most likely encountering a foreign object. In this case, the detection operation needs to be stopped, and the corresponding moment is taken as the detection restart moment. In this embodiment of the invention, the preset abnormal threshold is set to 1. The specific value can be adjusted by the implementer according to the specific implementation situation, and no limitation is imposed here.

[0051] The detection is temporarily paused at the restart time, and adjustments are made according to possible anomalies. In this embodiment of the invention, after determining the restart time, abnormal pressure fluctuations are used to determine the possibility of surface foreign matter. If abnormal fluctuation amplitude exists within a preset neighborhood range before the restart time, it indicates surface changes, and a foreign matter probe check is initiated. In this embodiment, the preset neighborhood range is a 5-time-range, meaning the possibility of abnormal fluctuation amplitude is analyzed within 5 time-ranges prior to the current restart time.

[0052] Upon receiving a foreign object probe inspection alert, staff need to check whether the probe is damaged and whether there are any foreign objects on the surface of the pulley to be inspected, and clean them if necessary. If the probe is damaged, it needs to be replaced. After completing the inspection, the staff restarts the inspection equipment and continues the inspection along the preset path.

[0053] Otherwise, the path deviation may be caused by excessive inertial forces due to excessive speed during probe operation. Therefore, a speed adjustment reminder will be issued. After adjusting the speed, restart the test to continue.

[0054] The speed is adjusted by reducing the probe speed based on the abnormal fluctuation amplitude and path drift of the probe before restarting. In this embodiment of the invention, the detection speed of the probe is adjusted and restarted to continue detection based on the abnormal fluctuation magnitude and point cloud position drift change of the continuous time series pressure data before the detection restart time, including:

[0055] After issuing a speed adjustment reminder, the product of the average value of all abnormal fluctuation amplitudes and the last slope on the fluctuation curve is normalized over the continuous time sequence between the current detection restart time and the previous detection start time, that is, from the last restart to the current stop time, to obtain the speed adjustment coefficient. The larger the average value of the overall abnormal fluctuation amplitude, the higher the abnormal fluctuation. The larger the last slope on the fluctuation curve, the more serious the drift and the greater the degree of speed reduction required.

[0056] Therefore, the product combined with fluctuation amplitude and drift change reflects the degree of speed adjustment required. It should be noted that normalization is a technique well known to those skilled in the art. The choice of normalization can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0057] The product of the rate adjustment coefficient and the preset maximum adjustment value is then used as the rate adjustment degree. In this embodiment of the invention, the preset maximum adjustment value is set to 10 to control the maximum adjustment degree. The larger the rate adjustment coefficient, the higher the adjustable value. The specific settings can be adjusted by the implementer and are not limited here.

[0058] Finally, the difference between the detection speed before the current detection restart and the rate adjustment degree is used as the adjusted detection rate. By reducing the detection rate, normal detection of the measuring points is ensured. The probe is then restarted with the adjusted detection rate to continue detection along the preset path.

[0059] Furthermore, during the inspection of automotive air conditioning pulleys, if the probe speed needs to be adjusted too frequently, it indicates that the surface of the pulley is significantly affected. The repeated start-stop speed adjustments of the testing device will affect the acquisition of measurement data, leading to severe distortion of the subsequently calculated circular runout value.

[0060] Therefore, in this embodiment of the invention, when the number of speed adjustment reminders during a single test exceeds the preset number, a probe replacement reminder is issued. If the number of times the speed adjustment needs to be adjusted is high, it indicates that the current probe has experienced too many pressure anomalies during measurement, requiring replacement with another probe for re-measurement. In this embodiment, the preset number of reminders is set to 5, which can be adjusted by the implementer.

[0061] The error compensation analysis module 103 is used to analyze the distribution order of the number of detection restart times and the magnitude of dynamic error compensation values ​​in each detection process among all detection processes. Based on the differences in the distribution order, the effective compensation index of each detection process is obtained. Based on the effective compensation index of each detection process and the degree of offset of the point cloud position, the dynamic error compensation value is corrected to obtain the corrected compensation value.

[0062] All measurement points of the automotive air conditioning pulley under test are obtained through a probe. Since changes in probe pressure and speed affect the accuracy of circular runout through mechanisms such as dynamic error coupling, trigger signal distortion, or mechanical deformation transmission, error compensation is required for all measurement points. However, the existing compensation model does not consider the start-stop conditions and pressure changes during probe operation, leading to inaccurate calculated compensation amounts. Therefore, the existing dynamic error compensation amount is corrected by incorporating the actual start-stop conditions during probe operation.

[0063] Preferably, in this embodiment of the invention, the method for obtaining the effective compensation index includes:

[0064] First, in each detection process, the initial dynamic error compensation value is obtained based on the Newton-Euler equation. In this embodiment of the invention, the Newton-Euler equation, as a classic dynamic modeling method, calculates the error caused by factors such as force, inertia, and friction during the motion of an object by establishing a dynamic model of a rigid body, and improves the accuracy of the system by compensating for these errors. It has a wide range of applications in dynamic error compensation and is a well-known technical means familiar to those skilled in the art, so it will not be elaborated here.

[0065] Furthermore, all detection processes are arranged in ascending order of the number of speed adjustment reminders to obtain a reminder sequence. Similarly, all detection processes are arranged in ascending order of their initial dynamic error compensation values ​​to obtain a compensation sequence. Considering that the greater the start-stop occurrences in speed change representation, the more unstable the measurement point deviation, the correlation analysis between this and the initial compensation situation is used to determine the effectiveness of the compensation.

[0066] Finally, the difference between the sequence number of each detection process in the reminder sequence and the sequence number in the compensation sequence is normalized to obtain the effective compensation index of each detection process, which reflects the matching situation between multiple detection processes. The more consistent the matching degree, the more reliable the initial dynamic error compensation is.

[0067] Therefore, based on the effective compensation index and the actual offset of the point cloud position, a correction compensation value is obtained. In this embodiment of the invention, the method for obtaining the correction compensation value includes:

[0068] First, when the effective compensation index is zero, the correction coefficient for the corresponding detection process is set to 1. A zero effective compensation index indicates that the number of speed changes matches the initial dynamic error compensation value more closely, and no correction is needed. Therefore, the correction coefficient is set to 1.

[0069] Furthermore, in each detection process, the Euclidean distance between each point cloud position and the preset path is calculated, and the average distance is taken as the offset amplitude, reflecting the degree of overall path offset during the detection process. The product of the absolute value of the effective compensation index and the offset amplitude is normalized to obtain a correction coefficient. When the offset amplitude is high and the compensation matching difference is large, the adjustment intensity needs to be higher. Then, the product of the correction coefficient and the preset correction value is taken as the correction degree. In this embodiment of the invention, the preset correction value is set to 2, representing the required adjustment amplitude value, which can be adjusted by the implementer.

[0070] Because different compensation requirements arise with greater matching differences, a correction compensation value for the detection process is obtained based on the sign of the effective index of the detection process, combined with the initial dynamic error compensation value and the correction degree. In this embodiment of the invention, when the effective compensation index of the detection process is less than zero, it indicates that the probe speed changes less frequently, while the initial dynamic error compensation value is larger. Therefore, the initial dynamic compensation value may be too large, and the difference between the initial dynamic error compensation value and the correction degree is used as the correction compensation value for the detection process. Conversely, when the effective compensation index of the corresponding detection process is greater than zero, it indicates that the initial dynamic compensation value may be too small, and the sum of the initial dynamic error compensation value and the correction degree is used as the correction compensation value for the corresponding detection process.

[0071] The circular runout quality inspection module 104 is used to perform measurement point offset compensation and analysis based on the correction compensation values ​​of all testing processes, and to obtain the circular runout of the automotive air conditioning pulley under test for quality inspection.

[0072] The adjusted compensation value can be used to compensate for circular runout. In this embodiment of the invention, during each detection process, the position of the measuring point is corrected based on the adjusted compensation value, which also allows for the adjustment of the measuring point coordinate position. The circular runout value for each detection process is obtained based on all adjusted measuring points. The measuring point data is fitted to a theoretical circle using the minimum region method, and the radial deviation range of each measuring point is calculated to obtain the circular runout value. It should be noted that the methods for error compensation adjustment and measuring point calculation of circular runout values ​​are well-known techniques to those skilled in the art and will not be elaborated upon here.

[0073] Because multiple tests are performed, the average of the runout values ​​from all tests is taken as the runout value of the automotive air conditioning pulley under test. When the runout value is less than the specified value, the quality inspection result is recorded as unqualified. In this embodiment of the invention, the specified runout value varies depending on the reference straight line. For example, the specified value is 0.2 when the reference diameter is between 20 and 100 mm, 0.3 when the reference diameter is between 100 and 160 mm, and 0.8 when the reference diameter is between 630 and 1000 mm, etc.

[0074] It should be noted that, for ease of calculation, all indicator data involved in the calculation in this embodiment of the invention have undergone data preprocessing to eliminate the influence of dimensions. The specific methods for eliminating the influence of dimensions are well known to those skilled in the art and are not limited here.

[0075] In summary, this invention determines the abnormal moment of detection and stops the detection based on abnormal pressure fluctuations and positional offset changes during probe operation, thus adjusting the probe's operation in case of anomalies. Furthermore, based on the degree of abnormality analyzed before the restart time, the subsequent detection speed is adjusted and detection continues, ensuring the integrity and reliability of the detection process for more accurate circular runout. Based on the distribution of detection restart times and dynamic error compensation values ​​across multiple detection processes, the potential effectiveness of the compensation values ​​is evaluated. Combining the effective compensation index and the overall positional offset during a single detection process, a correction compensation value is obtained, making the compensation values ​​for the detection data more reliable and accurate. Finally, the circular runout is analyzed by integrating the compensation values ​​from all detection processes, resulting in more accurate detection results. This invention uses pressure and positional offset for start-stop control, adjusts the detection speed, and effectively analyzes and corrects error compensation based on the start-stop conditions of multiple detections, reducing measurement errors and obtaining more accurate circular runout.

[0076] The present invention also provides a device for detecting the circular runout of an automotive air conditioning pulley, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the quality inspection system for the circular runout of an automotive air conditioning pulley as described in any of the above claims.

[0077] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0078] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A quality inspection system for the circular runout of an automotive air conditioning pulley, characterized in that, The system includes: The data acquisition module is used to acquire the pressure time-series data and point cloud position of the probe during each testing process of the car air conditioning pulley under test; The detection restart module is used to determine the detection restart time and stop detection by the maximum degree of drift change of continuous point cloud positions and abnormal fluctuations of pressure time series data before each time step; based on the magnitude of abnormal fluctuations of pressure time series data and the magnitude of drift change of point cloud positions in continuous time series before the detection restart time, the detection speed of the probe is adjusted and detection is restarted to continue. The error compensation analysis module is used to analyze the distribution order of the number of detection restart times and the magnitude of dynamic error compensation values ​​in each detection process across all detection processes. Based on the differences in the distribution order, the effective compensation index for each detection process is obtained. Based on the effective compensation index for each detection process and the degree of offset of the point cloud position, the dynamic error compensation value is corrected to obtain the corrected compensation value. The circular runout quality inspection module is used to compensate for and analyze the offset of the measuring point based on the correction compensation values ​​of all testing processes, and to obtain the circular runout of the automotive air conditioning pulley under test for quality inspection.

2. The quality inspection system for the circular runout of an automotive air conditioning pulley according to claim 1, characterized in that, The method for obtaining the restart time includes: During each detection process, when the pressure time series data exceeds the preset pressure threshold, the difference between the corresponding pressure time series data and the preset pressure threshold is taken as the abnormal fluctuation amplitude. The Euclidean distance between each point cloud position of the probe and the preset path is used as the drift degree; the drift degree from the current time to the start of detection is curve fitted to obtain the fluctuation curve; the non-zero slopes on the fluctuation curve are accumulated, and when the accumulated value is greater than the preset abnormal threshold, the corresponding time is used as the detection restart time.

3. The quality inspection system for the circular runout of an automotive air conditioning pulley according to claim 2, characterized in that, After determining the detection restart time, the process also includes: If abnormal fluctuations are detected within a preset neighborhood range before the restart time, a foreign object probe check will be initiated; otherwise, a speed adjustment will be initiated.

4. The quality inspection system for the circular runout of an automotive air conditioning pulley according to claim 3, characterized in that, The method of adjusting the probe's detection speed and restarting detection after adjusting the magnitude of abnormal fluctuations in the continuous time-series pressure data and the magnitude of drift changes in the point cloud position before the detection restart time includes: After issuing a speed adjustment reminder, between the current detection restart time and the previous detection start time, the product of the mean of all abnormal fluctuation amplitudes and the last slope on the fluctuation curve is normalized to obtain the speed adjustment coefficient; the product of the speed adjustment coefficient and the preset maximum adjustment value is used as the speed adjustment degree. The difference between the detection speed before the current detection restart time and the rate adjustment degree is used as the adjusted detection rate; the probe is restarted to continue detection at the adjusted detection rate.

5. The quality inspection system for the circular runout of an automotive air conditioning pulley according to claim 3, characterized in that, The method for obtaining the effective compensation index includes: In each detection process, the initial dynamic error compensation value is obtained based on the Newton-Euler equation; all detection processes are arranged in ascending order of the number of speed adjustment reminders to obtain the reminder sequence; all detection processes are arranged in ascending order of the initial dynamic error compensation value to obtain the compensation sequence. The difference between the sequence number of each detection process in the reminder sequence and the sequence number in the compensation sequence is normalized to obtain the effective compensation index for each detection process.

6. The quality inspection system for the circular runout of an automotive air conditioning pulley according to claim 1, characterized in that, The method for obtaining the correction compensation value includes: When the effective compensation index is zero, the correction coefficient for the corresponding detection process is set to 1; In each detection process, the Euclidean distance between each point cloud position and the preset path is calculated, and the mean of the distance is taken as the offset amplitude. The product of the absolute value of the effective compensation index and the offset amplitude is normalized to obtain the correction coefficient. The product of the correction coefficient and the preset correction value is taken as the correction degree. Based on the positive or negative sign of the effective indicators of the detection process, and combined with the initial dynamic error compensation value and the correction degree, the correction compensation value of the detection process is obtained.

7. The quality inspection system for the circular runout of an automotive air conditioning pulley according to claim 6, characterized in that, The correction compensation value for the detection process is obtained by combining the positive and negative signs of the effective indicators based on the detection process with the initial dynamic error compensation value and the correction degree, including: When the effective compensation index of the detection process is less than zero, the difference between the initial dynamic error compensation value and the correction degree is used as the correction compensation value of the detection process. When the effective compensation index of the corresponding detection process is greater than zero, the sum of the initial dynamic error compensation value and the correction degree is used as the correction compensation value of the corresponding detection process.

8. The quality inspection system for the circular runout of an automotive air conditioning pulley according to claim 1, characterized in that, The process involves compensating for and analyzing the measurement point offset based on the correction compensation values ​​from all detection processes to obtain the circular runout of the vehicle's air conditioning pulley for quality inspection, including: In each test process, the position of the measuring point is corrected based on the correction compensation value, and the circular runout value of each test process is obtained based on all the adjusted measuring points in each test process; the average of the circular runout values ​​of all test processes is taken as the circular runout value of the car air conditioning pulley under test. When the circular runout value is less than the specified value, the quality inspection result is recorded as unqualified.

9. The quality inspection system for the circular runout of an automotive air conditioning pulley according to claim 3, characterized in that, If the number of speed adjustment reminders during a single test exceeds the preset number, a probe replacement reminder will be issued.

10. A device for detecting the circular runout of an automotive air conditioning pulley, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the circular runout inspection system for automotive air conditioning pulleys as described in any one of claims 1 to 9.

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