摘要
现代流程工业产生了海量多尺度数据,如何分析这些数据变得相当困难。数据可视化提供一种处理数据,查找趋势与联系的方法,有助于发现重要的信息。然而,用户对多尺度数据可视化的需求存在着差异,数据也往往来自于不同的数据源。为了实现这些需求,我们建立了多尺度数据可视化模型框架,并设计开发了一个面向流程工业多尺度数据的可视化系统。在炼化企业的实际应用证明了系统的有效性和可用性。
Data visualizations offer one way to harness these data to find trends and correlations that can lead to important discoveries.However,the need of multi-scale data visualization is different among users and data comes from various data sources.In order to analyze numerous multi-scale data in modern process industry,and provide different users with multi-scale data visualization,a multi-scale data visualization model framework and a visualization system were established.The application at refinery industry verifies their applicability.
出处
《化工自动化及仪表》
CAS
北大核心
2010年第4期77-80,共4页
Control and Instruments in Chemical Industry
基金
国家高技术研究发展计划项目(2007AA040702)
关键词
数据可视化
流程工业
data visualization
process industry
