化工进展2016，Vol.35Issue(6)：1652-1659,8.DOI:10.16085/j.issn.1000-6613.2016.06.006
大数据技术在过程工业中的应用研究进展
Recent development of the application of big data technology in process industries
苏鑫 1吴迎亚 1裴华健 1蓝兴英 1高金森1
作者信息
- 1. 中国石油大学 北京 重质油国家重点实验室，北京 102249
- 折叠
摘要
Abstract
Recently,the big data technology has been applied in many field widely,such as finance,trade and medical healthy. But the applications in process industries are only in the beginning stages. In this paper,the characteristics,analyzing methods and applications of the data in process industries are introduced. The data obtained by the process industry have the characteristics of high dimension,strong nonlinearity, uneven sample distribution and low signal-to-noise ratio except from the characteristics of volume, variety,velocity and variability. The big data technology has emerged and developed to be available in analyzing data from the process industries. The analyzing methods based on the industrial data include dimension reduction analysis,cluster and classification analysis,correlation analysis and prediction analysis according to their functions. In this paper,the applications of the big data technology in process industries are summarized from three aspects including process optimization,process monitoring and fault diagnosis and prediction of product properties and yield. It is found that the big data will play a more important role if the production data in the process industries can be combined with the market data of raw material and product.关键词
大数据/过程工业/数据分析/过程系统Key words
big data/process industry/data analysis/process systems分类
化学化工引用本文复制引用
苏鑫,吴迎亚,裴华健,蓝兴英,高金森..大数据技术在过程工业中的应用研究进展[J].化工进展,2016,35(6):1652-1659,8.
