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.

翻译：数字孪生技术通过实现光通信网络的全生命周期管理（包括设计、排障、优化、升级与预测），已彻底革新了光通信网络。尽管现有文献广泛探讨了数字孪生的框架、标准及应用场景，但当前迫切需要在实际现网环境（而非受控实验室环境）中实现数字孪生技术。本文通过从三大主要挑战维度剖析影响现网光网络中数字孪生准确性的不确定因素，并提出在现网光网络中实现精准数字孪生的操作指南，从而攻克了这一难题。基于所提指南，我们成功在现场测试的C+L波段光传输链路中实现了数字孪生技术，并展示了其在光纤断裂场景下进行性能恢复的能力。