Recent development of the application of big data technology in process industries

Recent development of the application of big data technology in process industries

Optimization

Big data

Process control

Commerce

Fault detection

Signal to noise ratio

Diagnosis

Process monitoring

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. 2016, Chemical Industry Press. All right reserved.

1652-1659

6

35

Su, Xin

Wu, Yingya

Pei, Huajian

Lan, Xingying

Gao, Jinsen

Huagong Jinzhan/Chemical Industry and Engineering Progress

2016

journalArticle

10006613

10.16085/j.issn.1000-6613.2016.06.006

http://dx.doi.org/10.16085/j.issn.1000-6613.2016.06.006