Application of fiber fingerprint technology in intelligent inspection and fault prediction of optical cable resources

作者：Y. Victoria Zhang, Wenyu Lin, Gaobo Wu, Yuzhou Qian · 年份：2026 · DOI：10.1117/12.3088268 · 研究领域：Advanced Fiber Optic Sensors、Electrical Fault Detection and Protection、Advanced Photonic Communication Systems

Traditional inspection methods often suffer from low efficiency, prompting the exploration of fiber fingerprint technology for intelligent inspection and fault prediction of optical cable resources. Based on a communication network, this study proposes an intelligent inspection approach for optical fiber ring networks using drones and OPGW optical cables. The Ansoft Maxwell electromagnetic field simulation software is employed to simulate drone inspection operations and calculate safe inspection distances. Tower locations in the inspection area are analyzed through grouping and clustering to optimize drone hangar placement. By integrating the optical fiber resources of OPGW cables with EPON network equipment, an optical cable communication network is established to enable rapid transmission of intelligent inspection data. The hangar serves as the connection point for generating optimal inspection paths and obtaining drone-based inspection results. Experimental results show that the proposed method achieves an average inspection execution time of 4.25 minutes—56.94% and 54% faster than hybrid algorithm-based and differential positioning-based inspection methods, respectively. Conclusion: The proposed technology significantly enhances communication response speed and reduces inspection execution time compared with traditional approaches.