Research on X-Ray Image Acquisition Technology of High Voltage Transmission Tower Fittings Based on UAV

Libo Liu, Jiafeng Chen, Lei Yu, Guangze Zhu, Yanchen Cui, Zhicheng Wang, Jiaqiang Sun, Kangxian Tang and Jilei Cai

GBP Proceedings Series, 2025, vol. 7, 51-57

Abstract: The safe and stable operation of high-voltage transmission lines is vital to the nation's energy supply, and hidden defects in transmission tower hardware pose a significant risk of major accidents. Traditional detection methods are inefficient, risky, incomplete, and unable to detect internal defects. To address these challenges, this paper introduces and explores an innovative X-ray imaging technology for high-voltage transmission tower hardware using a drone platform. The core of this technology is a high-performance, lightweight micro X-ray imaging system integrated into a drone, which combines high-precision positioning and stable hovering control, stringent radiation safety measures, and efficient image transmission and processing. This system enables non-contact, non-destructive imaging of key tower hardware. The study details the overall architecture design, key component selection, precise positioning and navigation, radiation field modeling, dose control strategies, and image acquisition and transmission methods adapted for the drone platform. Through systematic laboratory testing, simulation environment validation, and on-site application, the technology has been proven to effectively capture clear X-ray images of the internal structure of high-voltage tower hardware, significantly improving the accuracy and efficiency of defect detection, and greatly reducing the safety risks for workers. This technology provides strong technical support for intelligent and precise inspections of transmission lines, with significant engineering application value and broad prospects.

Keywords: UAV; high-voltage transmission line; hardware defects; X-ray imaging; nondestructive testing (search for similar items in EconPapers)
Date: 2025
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