A full-automatic detection method, system, device and medium for a car window-up button

Abstract

This application discloses a fully automatic testing method, system, equipment, and medium for automotive window control buttons, relating to the field of automotive electronic equipment testing technology. First, the window control button to be tested undergoes live-line testing. After passing the live-line testing, it is removed from the live-line testing station and powered off for offline testing. After passing the offline testing, the product is returned to its original station and power is restored for re-energization testing. The product is deemed qualified only when all three tests are passed, and product identification is hot-stamped. By switching power supply states and testing conditions in stages, a hierarchical and adaptable testing system is established. This system can match the testing characteristics of different types of quality indicators with suitable testing environments, eliminating interference from external factors on testing accuracy. Simultaneously, the re-energization testing completes the final overall verification, further enhancing the reliability of the test results.

Claims

1. A fully automatic detection method for car window lift buttons, characterized in that, It includes: Conduct power-on detection on the button to be detected; If the power-on detection is qualified, remove the button to be detected from the power-on detection station, cut off the power, and conduct power-off offline detection; If the power-off offline detection is qualified, install the button to be detected back to the power-on detection station, restore the power, and conduct power-restoration detection; If the power-restoration detection is qualified, confirm that the button to be detected is a qualified product, and conduct product identification hot stamping.

2. The fully automatic detection method for car window lift buttons according to claim 1, characterized in that, The specific power-on detection is as follows: Conduct power-on lighting operation on the button to be detected, and collect the voltage response data of the button to be detected in real time to generate a continuous response curve; Compare the continuous response curve with the standard curve in the preset database point by point, and calculate the sum of squared deviations; When the sum of squared deviations does not exceed the first preset threshold, conduct surface pattern integrity detection on the button to be detected; When the surface pattern integrity detection result is qualified, conduct brightness detection on the button to be detected, and collect the real-time brightness data of the button to be detected; Calculate the arithmetic mean using the real-time brightness data; When the arithmetic mean is greater than or equal to the second preset threshold, conduct color temperature detection on the button to be detected, and collect the actual color temperature value of the button to be detected; Calculate the color temperature deviation rate using the actual color temperature value and the preset standard color temperature value; When the color temperature deviation rate is less than or equal to the third preset threshold, conduct pressing detection on the button to be detected, collect the real-time pressing force value of the button to be detected and generate a pressing force curve; If the peak value of the pressing force curve does not exceed the preset standard pressing force range and the curve is stable, determine that the power-on detection result is qualified.

3. The fully automatic detection method for car window lift buttons according to claim 1, characterized in that, The specific operation of removing the button to be detected from the power-on detection station, cutting off the power, and conducting power-off offline detection is as follows: Remove the button to be detected from the power-on detection station, cut off the power supply, and conduct probe length consistency detection on the button to be detected; When the probe lengths are inconsistent, determine that the power-off offline detection result is unqualified; When the probe lengths are consistent, determine that the power-off offline detection result is qualified.

4. The fully automatic detection method for car window lift buttons according to claim 1, characterized in that, The specific operation of installing the button to be detected back to the power-on detection station, restoring the power, and conducting power-restoration detection is as follows: Install the button to be detected back to the power-on detection station and restore the power supply; Collect the overall appearance image of the button to be detected through an image acquisition device; Based on the appearance image, conduct assembly attitude tilt verification and surface foreign object and dirt identification on the button to be detected; If the button to be detected has no attitude tilt deviation, no foreign object attachment, and no dirt defect, determine that the power-restoration detection result is qualified; If the button to be detected has at least one defect such as attitude tilt, surface foreign object, or dirt, determine that the power-restoration detection result is unqualified.

5. The fully automatic detection method for car window lift buttons according to claim 2, characterized in that, It also includes: When the sum of squared deviations exceeds the first preset threshold, or the surface pattern integrity detection result is unqualified, or the arithmetic mean is less than the second preset threshold, or the color temperature deviation rate is greater than the third preset threshold, or the peak value of the pressing force curve exceeds the preset standard pressing force range or the curve has abnormal fluctuations, mark the button to be detected as a defective product and stop the detection.

6. The fully automatic detection method for car window lift buttons according to claim 3, characterized in that, After determining that the offline power-off test result is unqualified when the probe lengths are inconsistent, the method further includes: Mark the button to be tested as defective and stop the test.

7. The fully automatic detection method for car window lift buttons according to claim 4, characterized in that, After determining that the re-energization test result is unqualified, the method further includes: Mark the button to be tested as defective and stop the test.

8. A fully automatic detection system for car window lift buttons, characterized in that, include: The live-line detection module is used to perform live-line detection on the button to be tested. The power-off offline detection module is used to remove the button to be tested from the live detection station and disconnect the power if the live detection is qualified, and then perform power-off offline detection. The power restoration detection module is used to reinstall the button to be tested back into the live testing station and restore power if the offline test after power failure is qualified, and then perform a power restoration test. The product identification module is used to confirm that the button to be tested is a qualified product if the power-on test is qualified, and to hot stamp the product identification.

9. An electronic device, characterized in that, The device includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor causes the processor to perform the steps of the fully automatic detection method for car window lift buttons as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the fully automatic detection method for car window lift buttons as described in any one of claims 1-7.

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