随着光传输网容量的增大, 故障的快速识别与定位变得越发重要。文章针对当前光网络中故障监测设备的优化配置问题进行了研究, 通过算法优化, 实现了故障最大化覆盖而监测设备的数量最小化。在此基础上构建了仿真平台, 仿真结果表明, 采用优化算法后所需监测设备的数目为最少, 但最大化去除了冗余告警量, 且定位快速高效。

As the capacity of optical transport networks increases, rapid fault identification and location have become increasingly important. In this paper, the optimum allocation of the fault monitoring equipment in current optical networks is studied and the maximum fault coverage and the minimum number of the monitoring equipment are achieved by the algorithm optimization. On this basis, a simulation platform is constructed and the simulation results indicate that when the optimized algorithm is adopted the number of the equipment to be monitored is the minimum, while the redundant alarm amount is reduced to the maximum and the faults are located fast and efficiently.