在现场部署光网络中实施数字孪生：不确定因素、操作指南与现场试验演示
Implementing Digital Twin in Field-Deployed Optical Networks: Uncertain Factors, Operational Guidance, and Field-Trial Demonstration
AI总结：
针对真实现场部署光网络中数字孪生失准问题，本文分析三类不确定因素并提出实施指南，且在C+L波段现场试验链路中验证了光纤切断场景下的性能恢复能力。
摘要：
数字孪生通过实现光通信网络的全生命周期管理（包括设计、故障排查、优化、升级和预测），革新了光通信网络。尽管已有大量关于数字孪生框架、标准和应用的文献，但与受控实验室环境不同，在真实环境中运行的现场部署光网络里实施数字孪生仍是一项迫切需求。本文应对这一挑战，从三大主要挑战出发考察现场部署光网络中数字孪生不准确背后的不确定因素，并提出在现场部署光网络中实施准确数字孪生的操作指南。通过所提出的指南，我们演示了数字孪生在一条现场试验 C+L 波段光传输链路中的有效实施，展示了其在光纤切断场景下的性能恢复能力。
英文摘要：
Digital twin has revolutionized optical communication networks by enabling their full life-cycle management, including design, troubleshooting, optimization, upgrade, and prediction. While extensive literature exists on frameworks, standards, and applications of digital twin, there is a pressing need in implementing digital twin in field-deployed optical networks operating in real-world environments, as opposed to controlled laboratory settings. This paper addresses this challenge by examining the uncertain factors behind the inaccuracy of digital twin in field-deployed optical networks from three main challenges and proposing operational guidance for implementing accurate digital twin in field-deployed optical networks. Through the proposed guidance, we demonstrate the effective implementation of digital twin in a field-trial C+L-band optical transmission link, showcasing its capabilities in performance recovery in a fiber cut scenario.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
