MES system for producing and processing bicycle shock front fork

CN122591284APending Publication Date: 2026-08-18RONGLUN MACHINERY (KUNSHAN) CO LTD
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Patent Information

Application Number
CN202610404125.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-30
Publication Date
2026-08-18

AI Technical Summary

Technical Problem

目前,在自行车避震前叉生产加工的制造执行系统中,对外观的检测所需人力成本较高,外观检测的智能性与便捷性较低

Benefits of technology

[0016] This invention employs a standard stripe projection method to inspect the appearance of bicycle suspension forks during manufacturing. A standard sample is transported to a specific location, and parameters are obtained through projection and imaging. Similarly, the sample to be tested is transported to a specific location, and parameters are calculated through projection and imaging. X-direction structured light stripe images, Y-direction structured light stripe images, all-black images, and all-white images are projected onto both the standard sample and the sample to be tested. By comparing the standard parameters with the parameters to be tested, it is determined whether the sample to be tested meets the appearance inspection standards. This method saves labor costs and improves the intelligence, convenience, and accuracy of appearance inspection of bicycle suspension forks during manufacturing.

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Abstract

The present application relates to the technical fields of production processing manufacturing execution, and especially to a MES system for bicycle shock front fork production processing, which has the technical scheme comprising: including production manufacturing module, appearance detection module, function test module, structure inspection module, wherein the appearance detection module adopts standard stripe projection method to detect the appearance of the bicycle shock front fork, the standard stripe projection method comprises standard parameter obtaining and to-be-measured parameter calculation, the standard sample is transmitted to a specific position and the parameters are obtained by projection and shooting, and the to-be-measured sample is transmitted to the specific position and the parameters are calculated by projection and shooting, the X-direction structure light stripe image, Y-direction structure light stripe image, full black image and full white image are projected on the standard sample and the to-be-measured sample, so as to compare the standard parameters with the to-be-measured parameters and judge whether the to-be-measured sample meets the appearance detection standard, thereby saving labor cost and improving the intelligence, convenience and accuracy of the appearance detection of the bicycle shock front fork.
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Description

Technical Field

[0001] This invention relates to the field of manufacturing execution technology, and in particular to a MES system for the production and processing of bicycle suspension forks. Background Technology

[0002] The front fork is a crucial component of a bicycle, playing a vital role in shock absorption and a decisive factor in rider safety. Therefore, ensuring the quality of bicycle suspension front forks during production is extremely important. Currently, in the manufacturing execution system for bicycle suspension front forks, the labor costs required for visual inspection are high, and the intelligence and convenience of visual inspection are relatively low.

[0003] In view of this, we propose a MES system for the production and processing of bicycle suspension forks to solve the existing problems. Summary of the Invention

[0004] The purpose of this invention is to provide a MES system for the production and processing of bicycle suspension forks, so as to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a MES system for the production and processing of bicycle suspension forks, comprising a production module, an appearance inspection module, a functional testing module, and a structural inspection module, wherein the appearance inspection module uses a standard stripe projection method to inspect the appearance of the bicycle suspension fork.

[0006] Furthermore, the standard fringe projection method includes obtaining standard parameters and calculating the parameters to be measured.

[0007] Furthermore, the equipment used in the standard fringe projection method includes a camera, a projector, and a transmission device.

[0008] Furthermore, the conveying device transports the standard sample or the sample to be tested to a specific location. The standard sample is a bicycle suspension fork that meets the appearance inspection standards, and the sample to be tested is the bicycle suspension fork to be tested.

[0009] Furthermore, the standard parameter determination involves transmitting standard samples to a specific location and obtaining parameters through projection and imaging.

[0010] Furthermore, the calculation of the parameters to be measured includes transmitting the sample to a specific location and calculating the parameters through projection and imaging.

[0011] Furthermore, the images to be projected include structured light stripe images in the X direction, structured light stripe images in the Y direction, completely black images, and completely white images.

[0012] Furthermore, the pixel grayscale value of a completely black image is 0, and the pixel grayscale value of a completely white image is 255.

[0013] Furthermore, the functional testing module includes compression and rebound tests as well as lock-up tests.

[0014] Furthermore, the construction inspection module includes structural integrity checks and sealing checks.

[0015] Compared with the prior art, the beneficial effects of the present invention are:

[0016] This invention employs a standard stripe projection method to inspect the appearance of bicycle suspension forks during manufacturing. A standard sample is transported to a specific location, and parameters are obtained through projection and imaging. Similarly, the sample to be tested is transported to a specific location, and parameters are calculated through projection and imaging. X-direction structured light stripe images, Y-direction structured light stripe images, all-black images, and all-white images are projected onto both the standard sample and the sample to be tested. By comparing the standard parameters with the parameters to be tested, it is determined whether the sample to be tested meets the appearance inspection standards. This method saves labor costs and improves the intelligence, convenience, and accuracy of appearance inspection of bicycle suspension forks during manufacturing. Attached Figure Description

[0017] Figure 1 This is a flowchart of the MES system for manufacturing and processing bicycle suspension forks according to the present invention.

[0018] Figure 2 This is a flowchart illustrating the steps of the standard stripe projection method for the appearance inspection module of the present invention. Detailed Implementation

[0019] The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0020] Example 1

[0021] like Figure 1 As shown, a MES system for manufacturing bicycle suspension forks includes a manufacturing module, an appearance inspection module, a functional testing module, and a structural inspection module. The appearance inspection module uses a standard stripe projection method to inspect the appearance of the bicycle suspension fork. The functional testing module includes compression and rebound tests as well as lock-up tests. The structural inspection module includes structural integrity checks and sealing checks.

[0022] The standard fringe projection method includes standard parameter determination and test parameter calculation. The equipment used includes a camera, projector, and transmission device. The transmission device transports the standard sample or the sample to be tested to a specific location. The standard sample is a bicycle suspension fork conforming to appearance inspection standards, and the sample to be tested is the bicycle suspension fork to be inspected. Standard parameter determination involves transporting the standard sample to the specific location and obtaining parameters through projection and imaging. Test parameter calculation involves transporting the sample to the specific location and calculating parameters through projection and imaging. The projected images include an X-direction structured light fringe image, a Y-direction structured light fringe image, a completely black image, and a completely white image. The pixel grayscale value of the completely black image is 0, and the pixel grayscale value of the completely white image is 255.

[0023] like Figure 2 As shown, the standard stripe projection method for the appearance inspection module includes the following steps:

[0024] S1: Transmit the standard sample to a specific location;

[0025] S2: Project the standard sample onto the background;

[0026] S3: Acquire images of the standard sample and background and obtain standard parameters;

[0027] S4: Transfer the sample to be tested to a specific location;

[0028] S5: Project the sample to be tested onto the background;

[0029] S6: Acquire images of the sample to be tested and the background, and calculate the parameters to be tested;

[0030] S7: Compare the standard parameter with the parameter to be measured;

[0031] S8: Determine whether the sample to be tested meets the appearance inspection standards.

[0032] The working principle of a MES system for manufacturing bicycle suspension forks based on Embodiment 1 is as follows:

[0033] Let the structured light fringe image in the X direction be . Its grayscale distribution expression is: ,in, for exist The grayscale value corresponding to the coordinate. The constant determines the period of grayscale value change in the X direction; the structured light fringe image in the Y direction is... Its grayscale distribution expression is: ,in, for exist The grayscale value corresponding to the coordinate. It is a constant that determines the period of gray value change in the Y direction.

[0034] A standard sample is transmitted to a specific location, a completely black image is projected onto the standard sample and the background, and the image is acquired. , for exist The grayscale value corresponding to the coordinates; the pure white image is projected onto the standard sample and background and then acquired to obtain the image. , for exist The grayscale value corresponding to the coordinate.

[0035] The structured light fringe image in the X direction is projected onto a standard sample and a background and acquired to obtain the image. Its grayscale distribution expression is: ,in, for exist The grayscale value corresponding to the coordinate. As a constant, it determines The period of grayscale value change in the X direction , , for The phase effect of internal standard samples on structured light fringes pass Determining the stripe distribution in the inner background region. pass The fringe distribution in the standard sample region is determined; the Y-direction structured light fringe image is projected onto the standard sample and background and acquired to obtain the image. Its grayscale distribution expression is: ,in, for exist The grayscale value corresponding to the coordinate. As a constant, it determines The period of grayscale value change in the Y direction for The phase effect of internal standard samples on structured light fringes pass Determining the stripe distribution in the inner background region. pass The stripe distribution within the standard sample region is determined. The background is a solid-color plane; therefore, the stripes within the background region... and =0, within the standard sample area and Not zero.

[0036] The sample to be tested is transported to a specific location, and a structured light fringe image in the X direction is projected onto the sample and the background and acquired to obtain the image. , for exist The grayscale value corresponding to the coordinates, let the equation be: Seeking this The Y-direction structured light fringe image is projected onto the sample under test and the background and acquired to obtain the image. , for exist The grayscale value corresponding to the coordinates, let the equation be: Seeking this Let the threshold X be... ,Will and Compare; let the Y threshold be... ,Will and Compare them.

[0037] If the sample to be tested is unaltered and its surface is undamaged, and the experimental environment remains unchanged, then and If the sample to be tested is deformed or has surface damage and the experimental environment has not changed, then within the background area... and Within the sample area to be tested or If the experimental environment remains unchanged, then within the background area... or .

[0038] In the above , , , During the calculation process, the range of values ​​is: .

[0039] The above specific embodiments are merely several preferred embodiments of the present invention. Based on the technical solutions of the present invention and the relevant teachings of the above embodiments, those skilled in the art can make various alternative improvements and combinations to the above specific embodiments.

Claims

1. A MES system for manufacturing and processing bicycle suspension forks, characterized in that: It includes a manufacturing module, an appearance inspection module, a functional testing module, and a structural inspection module. Among them, the appearance inspection module uses the standard stripe projection method to inspect the appearance of the bicycle suspension fork.

2. The MES system for manufacturing and processing bicycle suspension forks according to claim 1, characterized in that: The standard fringe projection method includes obtaining standard parameters and calculating the parameters to be measured.

3. The MES system for manufacturing and processing bicycle suspension forks according to claim 2, characterized in that: The equipment used in the standard stripe projection method includes a camera, a projector, and a transmission device.

4. The MES system for manufacturing and processing bicycle suspension forks according to claim 3, characterized in that: The conveying device transports the standard sample or the sample to be tested to a specific location. The standard sample is a bicycle suspension fork that meets the appearance inspection standards, and the sample to be tested is the bicycle suspension fork to be tested.

5. The MES system for manufacturing and processing bicycle suspension forks according to claim 4, characterized in that: Standard parameter determination involves transmitting standard samples to a specific location and obtaining parameters through projection and imaging.

6. The MES system for manufacturing and processing bicycle suspension forks according to claim 4, characterized in that: The calculation of the parameters to be measured involves transmitting the sample to a specific location and calculating the parameters through projection and imaging.

7. A MES system for manufacturing and processing bicycle suspension forks according to claim 5 or 6, characterized in that: The images to be projected include structured light stripe images in the X direction, structured light stripe images in the Y direction, completely black images, and completely white images.

8. The MES system for manufacturing and processing bicycle suspension forks according to claim 7, characterized in that: A completely black image has all pixels with a grayscale value of 0, while a completely white image has all pixels with a grayscale value of 255.

9. The MES system for manufacturing and processing bicycle suspension forks according to claim 1, characterized in that: The functional testing module includes compression and rebound tests as well as lock-up tests.

10. The MES system for manufacturing and processing bicycle suspension forks according to claim 1, characterized in that: The construction inspection module includes structural integrity checks and sealing checks.