Data-Driven Industrial Intelligence: Status Quo and Prospects

Abstract

The rapid development of a new generation of artificial intelligence is profoundly affecting a new round of global industrial revolution.As the core element in the digital economy era,data elements are releasing great value under the integration of intelligent manufacturing application requirements and the new generation of artificial intelligence.Data driven industrial intelligence,especially the research frontier of industrial intelligence represented by deep learning has become the focus of academic and industrial circles.The data-driven industrial intelligence was analyzed from various dimensions,especially the representative new theories and technologies based on deep learning,starting from the key links of data preprocessing,data modeling,data analysis and application in the whole life cycle of industrial data.At the same time,the typical applications of intelligent manufacturing were discussed.The challenges and future development direction of data-driven industrial intelligence research field were pointed out.This study would provide important theoretical and technical support for the development of the new cross research field of industrial intelligence based on the new generation of artificial intelligence.