针对智能网运维缺少业务异常预警和故障定位的支撑手段现状,本文提出了一种智能网异常话单大数据处理方法。通过Hadoop大数据处理架构提升了智能网话单大数据存储和处理能力,基于话单大数据和智能网异常话单查询分析系统实现了智能网呼叫追溯、业务质量异常的主动预警和实时定位等功能,解决了智能网现网业务异常发现滞后于用户投诉、已有手段无法快速进行问题定位等问题,有效提升了用户感知和用户满意度。 In view of the status quo of the lack of intelligent network operation and maintenance of business anomalies early warning and fault location support, this paper presents a smart network abnormal bill big data processing method. Hadoop big data processing architecture to enhance intelligent network bill big data storage and processing capacity, based on bill big data and intelligent network abnormal bill inquiry and analysis system to achieve intelligent network call tracing, business quality anomalies such as active early warning and real-time positioning Function, which solves the problems that the abnormal discovery of the current network service of the intelligent network lags behind the user complaints, the existing problems such as the inability to quickly locate the problem, and effectively improves user perception and user satisfaction.