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基于大数据算法的家宽网络预防预测系统研究

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由于用户接入网络弱光对上网感知产生较大的影响,接入弱光质差端口链路故障预测系统应用人工智能能力,可以解决传统运维的盲目性整治的问题.通过准确识别并预警故障高风险端口,并对弱光故障进行精准定位,从而起到提升网络质量,帮助家庭宽带工程师减少日常在设备维护过程中的无效故障处理,提升弱光故障处理效率.
Research on Preventive Prediction System of Home Wide Network Based on Big Data Algorithm
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.

big datapreventive predictionhome broadband networkweak light failurenetwork failure

张淏湜、谢敏、王新宽

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中国移动通信集团江苏有限公司扬州分公司,江苏扬州 225100

南京邮电大学通达学院,南京 210000

大数据 预防预测 家宽网络 弱光故障 网络故障

2024

数码设计

数码设计

ISSN:1672-9129
年,卷(期):2024.(10)