Design of x-ray digital imaging software for transmission line flaw detection robot

Long Li; Peng Zhang; Jiangyun Yu; Yunfeng Wang; Xiaopeng Jiao

doi:10.1117/12.3026184

1 April 2024 Design of x-ray digital imaging software for transmission line flaw detection robot

Long Li, Peng Zhang, Jiangyun Yu, Yunfeng Wang, Xiaopeng Jiao

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130821H (2024) https://doi.org/10.1117/12.3026184
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

Real time and stability are crucial requirements in transmission line inspection. Software can quickly process image data and output results while maintaining stability to cope with various complex environments and operating conditions, which is highly challenging. Therefore, this article designs a new X-ray digital imaging software for transmission line inspection robots. The imaging system for robot X-ray defect detection software is composed of a BJI-1X light generator and a Raines digital imager. According to this imaging principle, internal image information of defects is collected using X-ray digital imaging instruments, and defect categories are obtained using image processing software based on its hierarchical recognition model. Using Faster RCNN algorithm to construct defect area localization model, improve digital imaging accuracy, and ultimately output digital imaging results. The experimental results show that when the balance factor is set to 0.30 and the adjustment factor is set to 1.5, the software in this paper has the highest accuracy in digital imaging of defects. The software in this article can accurately locate the defect area, obtain its location boundary box, and has high clarity. It also has excellent digital imaging performance in determining the type of digital imaging defect.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Long Li, Peng Zhang, Jiangyun Yu, Yunfeng Wang, and Xiaopeng Jiao "Design of x-ray digital imaging software for transmission line flaw detection robot", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130821H (1 April 2024); https://doi.org/10.1117/12.3026184

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KEYWORDS

Digital imaging

X-rays

X-ray imaging

Digital x-ray imaging

Image processing

Inspection

Design

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