电力设备监测数据的流式计算与动态可视化展示

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。

Stream Computing and Dynamic Visualization for Electric Power Equipment Monitoring Data

Real-time analysis and visualization of power equipment monitoring data are the important contents of smart grid construction.The traditional data processing model represented by Hadoop cannot meet the requirements of business delay.This paper presents a method of stream computing and dynamic visualization for power equipment monitoring data based on Alibaba Cloud Stream Compute, and uses Stream Compute upstream and downstream service to build an application system for time-frequency analysis and visualization of power equipment monitoring data.The experimental tests show that the overall processing delay of the system is controlled at the second level, which can meet the performance requirements of on-line monitoring and real-time data display.