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将过程数据校正工作分为过程数据的分类、测量网冗余度分析、过失误差检测和数据协调四个部分，分别介绍了这四部分的基础知识和研究概况，并举实际例子说明了数据校正技术在化工过程中的应用。
The process data correction is divided into four parts: process data classification, measurement network redundancy analysis, fault error detection and data coordination. The basic knowledge and research status of these four parts are introduced respectively. The practical examples are given to illustrate the data correction technology In the chemical process application.