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    This study introduces an image processing technique for measuring tube sheet surface grooves, crucial for automated shield assembly. The method enhances accuracy by analyzing environmental factors and defining recognition coefficients.

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    Area of Science:

    • Engineering
    • Manufacturing Technology
    • Robotics

    Background:

    • Automated shield assembly relies on precise spatial attitude measurement of tube sheets.
    • Accurate measurement of tube sheet surface features is essential for effective assembly.

    Purpose of the Study:

    • To present an image processing method for measuring tube sheet surface grooves.
    • To enhance the robustness of the measurement method against environmental interference.

    Main Methods:

    • The measurement process involves two stages: target detection and target coordinate measurement.
    • Analysis of environmental factors impacting recognition rates.
    • Definition of effective recognition coefficients to improve interference resistance.

    Main Results:

    • Successful implementation of an image processing technique for tube sheet groove measurement.
    • Improved resistance to environmental factors affecting recognition.

    Conclusions:

    • The proposed image processing method provides a basis for automated shield assembly.
    • The defined recognition coefficients enhance the reliability of spatial attitude measurement for tube sheets.