摘要： 流程工业存在着大量的秒级的时间序列数据，面对这样的海量高维数据，如何压缩存储和挖掘，是一个关键的问题。文章针对流程工业中实时数据存储的特点，提出了一种新型的适配性取样压缩方法，将实时数据流整合到数据库中，并分析了在压缩存储后的数据挖掘方法。以电厂实时系统为例，对其实现进行了论述。

关键词: 实时压缩, 海量数据, 数据库, 数据挖掘

Abstract: Time series data of second-level occur in many applications of flow industry . Data compressing storing and mining is the key point for so large and high dimension data.This paper gives a novel adaptive sampling compressing method against the property of realtime data ,shows how to integate realtime data into database,analyzes relative mining methods ,and discusses its applications in electric power realtime system .

中图分类号: 

• TM769