异步调用的SCADA系统海量信息处理方法

针对传统监控与数据采集(SCADA)系统处理海量信息的局限性,提出一种异步调用的SCADA处理模式,将SCADA数据处理服务的提交和处理请求设计为一个异步过程,未处理的数据以先进先出的方式存储在缓存中等待处理,确保处理海量信息时不丢失事项.系统基于公共信息模型(CIM)建模并在.Net平台上实现.大容量数据的雪崩测试及现场试运行表明异步调用模式的SCADA系统处理的可用性和优势.

A Massive Data Processing Method for the Asynchronous Invocation SCADA System

The data processing capability of the SCADA master station directly affects the efficiency of system application in power system automation. The power system, especially the distribution grid, contains massive information. Aimed at the limits to the traditional SCADA system in the processing of massive information, an asynchronous invocated architecture for the SCADA service is proposed, with which the unprocessed data can be stored in the memory in a first in first out (FIFO) sequence for processing. This method ensures that no event will get lost when handling massive information. Based on the B/S structure and common information model (CIM) , the asynchronous SCADA system is implemented on the . Net platform. The avalanche test results of massive data processing and the field test operation are proof of its high performance and availability.