基于数据挖掘技术的光纤通信远距离传输故障检测方法  

Fault Detection Method of Remote Transmission of Optical Fiber Communication Based on Data Mining Technology

作　　者：孔新玉 吴柯俊 梁佳瑜 朱磊 吴永媛 KONG Xinyu;WU Kejun;LIANG Jiayu;ZHU Lei;WU Yongyuan(Dianchi College of Yunnan University,Kunming Yunnan 651705 China)

机构地区：[1]云南大学滇池学院,云南昆明651705

出　　处：《长江信息通信》2024年第5期149-151,共3页Changjiang Information & Communications

摘　　要：为提高对光纤通信远距离传输过程故障检测的准确率,强化对于光纤通信系统的管理和维护,文章基于数据挖掘技术,提出一种光纤通信远距离传输故障检测方法。首先建立目标函数,以备后续评估故障对整个光纤通信网络的影响;其次利用数据挖掘技术对故障不良数据进行修正,得到与故障相关的特征信息;接着据此构建特征向量集,通过确定模态参数K实现对目标函数的优化,保证故障检测的准确性和完整性。实验结果表明:该文方法检测光纤通信远距离传输中的故障时,得到故障检测平均准确率为99.59%,具有较高的准确性,说明该方法能准确检测故障。In order to improve the accuracy of fault detection in the long-distance transmission process of optical fiber communication and strengthen the management and maintenance of opti-cal fiber communication system,the paper proposes a fault detection method for long-distance transmission of optical fiber communication based on data mining tcchnology.Firstly,the ob-jective function is cstablished for the subscqucnt assessment of the impact on the whole optical fiber communication network;Secondly,the data mining technology is used to correct the defec-tive data and obtain the characteristic information related to faults;then build the feature vector set,and optimize the objcective function by determining the modal parameter K to ensure the ac-curacy and integrity of the fault detection.The experimental results show that the average accu-racy of fault detection is 99.59%in the method,which has high accuracy,and shows that the method can detect faults accurately.

关 键 词：数据挖掘 光纤通信 故障检测 远距离传输 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]