关键词: 生产信息数据, 工厂信息数据库, 实时数据流分割, 统计质量控制图, 工序质量监控

Abstract: This paper proposed a solution to do research on real-time data stream analyzing and entire process quality tracing based on PI (Plant information) in order to solve these problems that the production information was blocked and product quality was unable to be traced in the steel production. The proposed solution focused on real-time data stream partition and process monitoring, and presented statistical monitoring methods based on Statistical Quality Control (SQC) charts and process capability indices. Furthermore, a product technique and quality monitoring system was developed. The applied results indicate the implementation of real-time data stream analysis and product quality monitoring based on PI can efficiently monitor production process quality, the identification and improvement of key production technology as well.

Key words: production information data, Plant Information (PI) database, real-time data stream partition, Statistical Quality Control (SQC) chart, process quality monitoring