Optical network fault tracing method based on deep learning

• Main Authors: JI YUEFENG, GAO GUANJUN, FENG XUXIANG, WANG HONGXIANG
• Format: Patent
• Language: Chinese; English
• Published: 26.07.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; PHYSICS; TRANSMISSION; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

The invention discloses an optical network fault tracing method based on deep learning, which relates to the field of optical communication and comprises the processes of efficient item set generation and fault analysis and positioning. In view of the problems of instability, long consumed time and strong dependence caused by the fact that the operation and maintenance work of the optical communication network depends on the manual troubleshooting of professionals at present, the method can effectively relieve the difficulty, can efficiently and intelligently find the alarm logs with strong potential relevance from massive alarm logs, and can be used for effectively and intelligently finding the alarm logs with strong relevance. The neural network is used for analyzing whether a fault occurs or not and positioning the equipment position, so that the troubleshooting difficulty is reduced, and the efficiency and accuracy of operation and maintenance personnel are improved. 本发明公开了一种基于深度学习的光网络故障溯源方法，涉及光通信领域，包括高效用