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电力设备监测数据的实时分析和可视化展示是智能电网建设的重要内容。以Hadoop为代表的传统数据处理模型不能满足业务时延要求。提出基于阿里云流计算(Stream Compute)的电力设备监测数据流式计算与动态可视化展示方法,并应用Stream Compute的上下游服务搭建了用于电力设备监测数据的时频分析和可视化展示的应用系统。试验测试表明,所搭建的系统整体的处理延迟被控制在s级,能够满足电力设备在线监测及实时数据展示的性能要求。
Real-time analysis and visualization of power equipment monitoring data is an important part of smart grid construction. The traditional data processing model represented by Hadoop can not meet the service latency requirements. A stream computing and dynamic visualization method of power equipment monitoring data based on Stream Compute is proposed. The application system of time-frequency analysis and visualization of monitoring data of power equipment is established by using upstream and downstream services of Stream Compute . Tests and tests show that the overall processing delay of the constructed system is controlled at level s, which can meet the performance requirements of on-line monitoring of power equipment and real-time data display.