Big Data Research ›› 2018, Vol. 4 ›› Issue (5): 62-79.doi: 10.11959/j.issn.2096-0271.2018051

Special Issue: 大数据

• STUDY • Previous Articles     Next Articles

Survey on industrial big data analysis:models and algorithms

Hongzhi WANG,Zhiyu LIANG,Jianzhong LI,Hong GAO   

  1. School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China
  • Online:2018-09-15 Published:2018-12-10
  • Supported by:
    The National Natural Science Foundation of China(U1509216);The National Natural Science Foundation of China(61472099);The National Natural Science Foundation of China(61602129);The National Key Research and Development Program of China(2016YFB1000703);The Scientific Research Foundation for the Returned Overseas Chinese Scholars of Heilongjiang Provience(LC2016026)

Abstract:

With the wide application of bar code,two-dimensional code,RFID,industrial sensor,automatic control system,industrial Internet,ERP and CAD/CAM/CAE techniques in industry,a large number of data related to industrial production are collected and stored in information system in real time.Analyzing those data can help to improve the production techniques,optimize the production process,reduce the production costs,laying the foundation for intelligent manufacturing.Therefore,the industrial big data analysis has drawn much attention of both industry and academia in recent years.Models and algorithms are two core issues of big data analysis theory and techniques.The concept of industrial big data analysis was introduced,and the applications of several popular models and the research results of the corresponding algorithms were reviewed,and future research directions in this area were explored.

Key words: industrial big data, big data analysis, model, algorithm, intelligent manufacturing

CLC Number: 

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