Optical communication is developing rapidly in the directions of hardware resource diversification, transmission system flexibility, and network function virtualization. Its proliferation poses a significant challenge to traditional optical communication management and control systems. Digital twin (DT), a technology that utilizes data, models, and algorithms and integrates multiple disciplines, acts as a bridge between the real and virtual worlds for comprehensive connectivity. In the digital space, virtual models are established dynamically to simulate and describe the states, behaviors, and rules of physical objects in the physical space. DT has been significantly developed and widely applied in the industrial and military fields. This study introduces the DT technology to optical communication through interdisciplinary crossing and proposes a DT framework suitable for optical communication. The intelligent fault management model, flexible hardware configuration model, and dynamic transmission simulation model are established in the digital space with the help of deep learning algorithms to ensure the high-reliability operation and high-ef-ficiency management of optical communication systems and networks.

中文翻译：

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数字孪生在光通信中的作用：故障管理，硬件配置和传输仿真

光通信正朝着硬件资源多样化，传输系统灵活性和网络功能虚拟化的方向快速发展。它的扩散对传统的光通信管理和控制系统提出了重大挑战。数字孪生（DT）是一种利用数据，模型和算法并集成了多个学科的技术，可充当现实世界与虚拟世界之间的桥梁，以实现全面的连接。在数字空间中，动态建立虚拟模型以模拟和描述物理空间中物理对象的状态，行为和规则。DT已得到显着发展，并广泛应用于工业和军事领域。这项研究将DT技术引入了跨学科交叉的光通信中，并提出了适合光通信的DT框架。借助深度学习算法，在数字空间中建立了智能故障管理模型，灵活的硬件配置模型和动态传输仿真模型，以确保光通信系统和网络的高可靠性运行和高效管理。