空心光纤网络断点在线实时快速监测研究

Research on online real time monitoring of hollow fiber network breakpoints

空心光纤网络的断点快速监测是实现网络故障诊断和保障网络稳定运行的关键,提出一种基于节点数据传输信道主瓣异常频谱特征提取的网络断点在线实时快速监测方法。首先构建节点分布模型和信道传输模型,计算空心光纤网络的节点密度、衡量链路质量的节点角度向量等特征参量,然后提取节点数据传输信道主瓣异常频谱特征,通过特征筛选实现断点在线定位检测,最后对网络断点进行路由修复设计,确定断点和路由修复示意图,并进行实际测试分析。测试结果表明,采用该方法进行空心光纤网络断点监测的实时性较好,准确性较高,延迟了网络的生命周期。

The breakpoints rapid monitoring of hollow optical fiber network is a key to ensure the fault diagnosis and stable operation. Therefore, this paper proposes a real-time breakpoints monitoring method based on spectral abnormal features extraction of nodes data transmission channel. Firstly, establish node distribution model and channel transmission model to calculate the node density, measure angle vector feature parameter which indicates the node link quality. Then, extract the main lobe abnormal spectrum features of the node data transmission channel. Achieve online real time breakpoints detection through feature selection. Finally repairing design the routing of network breakpoints to determine the breakpoints and routing repairing map and do the test and analysis. The test results show that this method is used to real-time monitor the performance of the hollow fiber network, and the accuracy is higher which delay the life cycle of the network.