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PTN光通信数据传输通道故障的定位技术研究 被引量:2

PTN optical communication data transmission channel failure location technology research
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摘要 PTN作为一种通信数据分组传送网技术,改善了原有光通信网络性能,提高了网络数据传输的效率。尽管胛N光通信网络本身具有较强的风险规避性能,但为了防止被遗漏故障对整体光网络性能的影响,需要对数据传输通道进行全面检测以及故障定位。针对现有故障定位技术误判率高、运算耗时长等不足,提出基于MLCP的分组数据光通信传输通道故障定位技术研究。分析放置于光通信数据通道上检测装置之间的关系,确定故障点的大致区位;基于MLCP技术构建一种加权概率二分图分析模型,基于模型对传输通道重点的故障区域进行筛查,通过优化可信参数选定影响度最大的故障集,实现对最终故障点的精确定位。实验结果表明,提出的故障定位技术具有更短的运行时间和更低的误判率,适用性方面也优于传统定位技术。 As a communication data packet transmission network technology, PTN improves the performance of original optical communication network and improves the efficiency of network data transmission. Although the PTN optical communication network has a strong risk aversion performance, it is necessary to comprehensively detect the data transmission channel and locate the fault in order to prevent the impact of the missing fault on the overall optical network performance. Aiming at the shortcomings of the existing faust location technology, such as high misjudgment rate and long time consuming, a fault location technology based on MLCP for packet data optical communication transmission channel is proposed. Analyze the relationship among the detection devices of optical communication data channel, to determine the approximate location of the fault point; construct a weighted probability of two figure analysis model based on MLCP technology, screen kdy fault areas on the transmission channel based on the model and select the optimal credible parameters of maximum fault set, to realize accurate positioning of final fault point. The experimental results show that the proposed fault location technology has shorter running time and lower false positive rate, and the applicability is better than the traditional positioning technology.
作者 曾坚毅 朱发财 袁书萍 ZENG Jianyi, ZHU Facai(Fuzhou Institute of Technology Engineering College, Fuzhou 350506, Chin)
出处 《激光杂志》 北大核心 2018年第5期142-145,共4页 Laser Journal
基金 2015年福建省教育厅A类科技项目(No.JA15601)
关键词 PTN 光通信 故障定位 MLCP 二分图 PTN optical communication fault location MLCP binary chart
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