THE CURRENT STATUS AND RESEARCH IN INDUSTRIAL BIG DATA ANALYSIS IN SMART INTELLIGENT SYSTEMS

Abstract

Intelligent manufacturing has become a point of reference in CyberPhysical Systems (CPS) and produced a revolutionary change in that field. That created network will produce the large amount of data. The intelligent manufacturing has the characteristics as highly correlated, deep integration, dynamic integration and huge volume of data. As a consequence it still faces numerous challenges. We recapitulate and analyze the research scenarios in both domestic and aboard in the current environment, including industrial big data collection, the predictive diagnosis based on industrial big data, group learning of product line equipment and the product line reconfiguration of intelligent manufacturing. In this Paper, we propose the research strategies, including acquirement schemes of industrial big data under the environment of intelligent and deduction method based intelligent product lines, predictive diagnostic methods on production lines based on the research status and the problems based deep learning among devices based on cloud supplements and 3D selforganized reconfiguration mechanism based on the supplements of cloud.