摘要
基于目前光网故障处理主要围绕用户账号、密码和终端问题进行,复杂现象及网络问题全部派单给运维部门,导致故障处理效率低和故障处理压力大的现状,提出了一种基于用户资源树的端到端故障诊断和修复方法。采用大数据分析和服务能力开放技术,构建了从业务平台到用户终端的全程故障分析平台,梳理了资源树各节点的故障现象、故障结论及相应的故障处理方法,并列举了故障处理场景,验证了故障精确定位和快速修复。结果表明,故障拦截效率提升了34%。
Based on current situation that PON network faults are mainly processed around the user account password and terminal problems, and all the complex phenomena and network issues involved are sent to the operation and maintenance department, leading to low failure processing efficiency and high treatment pressure, an end-to-end fault diagnosis and repair method was proposed based on the customer resource tree. Through adopting big data analysis technology and service capability opening technology, an end-to-end fault detection system from service platform to client terminals was built and fault phenomena, conclusions and treatment methods of the nodes in the resource tree were combed, and fault processing scenarios were listed to verify the accuracy of fault detection and fast recovery. The result shows that the failure interception efficiency is improved by 34%.
出处
《电信科学》
北大核心
2016年第9期132-138,共7页
Telecommunications Science
关键词
故障检测
故障诊断
故障修复
用户资源树
fault detection
fault diagnosis
fault recovery
customer resource tree
