The Research and Implementation of Optical Cable Fault Location Method Based on Navigation

• Published in: 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) pp. 2070 - 2075
• Main Authors: Li, Ao, Han, Sai, Wang, Zelin, Wang, Guangquan, Qiao, Zhi, Ni, Songtao
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2023
• Subjects: artificial intelligence; Automation; base station alarm; Costs; intelligent operation and maintenance; IPRAN alarm; Navigation; optical cable fault location; Optical fiber cables; Optical fibers; Optical filters; OTN alarm; Visualization
• ISSN: 2324-9013
• DOI: 10.1109/TrustCom60117.2023.00286

The prevalence of fiber optic cable failures has been identified as a key contributor to failures across multiple network systems in the realm of network operations and maintenance. Meanwhile, with the continued expansion of fiber optic cable adoption and its widening coverage, the task of maintenance has grown increasingly complex for network operators. In the context of today's highly efficient, expansive, and intricate networks, the limitations of conventional methods for operating and maintaining fiber optic cables have become unmistakably evident. To meet the pressing need for cost reduction, this paper introduces an innovative optical cable fault location method, leveraging automation and artificial intelligence technology. Tailored for practical network applications, this method conducts a comprehensive analysis of concurrent faults across multiple systems, pinpointing their origin in optical cable faults. Through the implementation of diverse navigation strategies, it achieves automatic optical cable fault location. The adoption of this method delivers a substantial reduction in fault location time, diminishing it from minutes to mere milliseconds. This dramatic increase in location speed leads to significant labor cost reductions, thereby greatly enhancing the efficiency of network maintenance.