数码设计Issue(10)：68-71,4.
基于大数据算法的家宽网络预防预测系统研究
Research on Preventive Prediction System of Home Wide Network Based on Big Data Algorithm
张淏湜 1谢敏 2王新宽1
作者信息
- 1. 中国移动通信集团江苏有限公司扬州分公司,江苏扬州 225100
- 2. 南京邮电大学通达学院,南京 210000
- 折叠
摘要
Abstract
As the user access network weak light has a greater impact on the perception of Internet access,the access weak light poor quality port link fault prediction system applies artificial intelligence capabilities,which can solve the problem of blindness remediation of traditional operation and maintenance.By accurately identifying and warning of high-risk ports for failure and accurately locating low-light failures,it can play a role in improving network quality,helping home broadband engineers to reduce ineffective troubleshooting in the process of equipment maintenance in the day-to-day,and improving the efficiency of low-light troubleshooting.关键词
大数据/预防预测/家宽网络/弱光故障/网络故障Key words
big data/preventive prediction/home broadband network/weak light failure/network failure分类
信息技术与安全科学引用本文复制引用
张淏湜,谢敏,王新宽..基于大数据算法的家宽网络预防预测系统研究[J].数码设计,2024,(10):68-71,4.
