概括
这项研究引入了一种新的多式联网检测架构,用于识别同路线光纤. 该系统能够准确地检测共电缆和共沟中的光纤,从而提高网络服务质量保证.
科学领域:
- 电信工程 电信工程 电信工程
- 网络基础设施管理 网络基础设施管理
- 光纤技术是光纤技术的一种.
背景情况:
- 同路线光纤,包括同线缆和同沟中的光纤,在网络服务质量保证方面存在挑战,原因是高精度识别和视觉状态管理方面的困难.
- 现有的方法缺乏能够同时准确识别共享相同路由段的光纤.
研究的目的:
- 开发和验证一种多式联网检测架构,用于在配电缆和配沟中同时识别光纤.
- 为了提高光纤状态管理和网络可视化的精度和自动化.
主要方法:
- 使用线宽可调光源 (LTLS) 收集静态和动态光纤数据.
- 实现了一个基于集体学习的多式联运检测架构.
- 基于静态特征的双层级联随机森林 (DLC-RF) 模型用于基于静态特征的协同电缆光纤识别.
- 采用动态纤维振动特征和曲线相似性对比学习器用于共同沟纤维分类.
主要成果:
- 联合电缆和联合沟光纤的同时识别的第一个实地试验成功进行.
- 拟议的架构证明了在同一路由段内自动检测和识别光纤,从而消除了人工干预.
- 在实时网络环境中对11个城市站点进行验证,证实了同路线光纤的识别准确度超过95%.
结论:
- 开发的多式联网检测架构有效地解决了共同路线光纤识别的挑战.
- 该解决方案显著提高了网络服务质量保证,并使被动光纤资源的可视化.
- 实现的高精度为系统在现实世界电信网络中的有效性提供了强有力的经验证据.
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