基于机器学习的灵活动态光网络智能监测技术研究

高速大容量光网络是国家信息基础设施宽带化的基石，光层监测对保障其“高可靠”和“高效率”的运行至关重要。随着“大数据”业务的迅猛发展，光网络正朝着“高速大容量、灵活动态”方向演进，光网络监测面临传输链路动态重构、信号格式和带宽灵活多样、多种损伤相互作用、全网监测复杂多变等技术挑战。本项目拟围绕全网波长链路的低成本监测机制与方法、端到端波长通道连接的性能监测和损伤诊断机制与算法两个关键科技问题，开展基于机器学习的灵活动态光网络智能监测的基础研究、创新设计与科学实验，拟在动态光网络全网监测机制和故障定位策略、低成本高准确度波长链路监测和具有多参数联合监测与损伤智能诊断功能的端到端波长连接监测机制与方法等方面实现重要突破。预期成果可为实现灵活动态光网络的智能监测提供低成本解决方案、奠定坚实理论与技术基础，为动态光网络“高可靠”“高效率”运行提供保障，并推动大数据相关产业发展以及国家信息化水平提升。

High-speed and large-capacity optical networks are the cornerstone of national broadband information infrastructure. Optical performance monitoring (OPM) is crucial to ensure "high reliability" and "high efficiency" of optical networks. With the rapid development of "big data" service, optical networks are moving toward being high-speed, flexible and dynamic. The OPM technology face the technical challenges of dynamic reconfiguration of transmission links, flexible and diverse of signal formats and bandwidths, multiple damage interactions, complex whole network monitoring, and so forth. This project intends to focus on two key scientific issues: the low-cost performance monitoring mechanism and method of the whole network wavelength link; the mechanism and algorithm of end-to-end wavelength channel connection performance monitoring and damage diagnosis. Our team will carry out the basic research, innovative design and experiments on machine learning-based intelligent monitoring technologies of flexible and dynamic optical networks. The project strives to realize important breakthroughs in whole dynamic network monitoring mechanism and fault location strategy, low-cost and high-accuracy wavelength link monitoring scheme, and end-to-end wavelength links monitoring mechanism and scheme. This project aims to establish the theoretical and technical foundation for realizing low-cost intelligent monitoring technology of flexible dynamic optical network, provide guarantee for "high reliability" and "high efficiency" of optical networks, promote the development of big data-related industries and the improvement in national informatization level.