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Anti-stain algorithm of angular displacement based on a single image sensor.

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    Industrial displacement measurement struggles with stains. This study introduces an image-based anti-stain algorithm that effectively removes interference from contaminants, ensuring accurate angular displacement measurements even with minor grating damage.

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    Area of Science:

    • Engineering
    • Optics
    • Image Processing

    Background:

    • Industrial displacement measurement systems are susceptible to failure caused by dust, oil, and other contaminants.
    • Existing techniques lack robust solutions for stain interference, creating a need for advanced anti-stain methods.
    • Image-based angular displacement measurement offers potential for improved stain resistance through image processing.

    Purpose of the Study:

    • To develop and validate a novel image-type anti-stain algorithm for angular displacement measurement.
    • To address the limitations of current techniques in industrial environments prone to staining.
    • To enhance the reliability and accuracy of displacement measurement systems in the presence of contaminants.

    Main Methods:

    • Assessed the impact of stains on calibration gratings using image angular displacement measurement principles.
    • Developed a single-head image-type anti-stain algorithm utilizing metal grating and multi-line fusion.
    • Tested the algorithm on a 38 mm diameter circular grating with 256 lines.

    Main Results:

    • The proposed algorithm effectively removes interference from small stains.
    • Accurate angle measurement output is maintained when stains cover less than half of the coding bits.
    • Demonstrated the algorithm's capability to ensure measurement accuracy despite partial grating contamination.

    Conclusions:

    • The developed image-type anti-stain algorithm provides a viable solution for industrial displacement measurement challenges.
    • This technique enhances stain resistance, ensuring reliable performance in contaminated environments.
    • The study lays the groundwork for more robust and high-performance displacement measurement technologies.