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.

Key words: intelligent manufacturing, new generation of artificial intelligence, industrial intelligence, industrial big data, deep learning, industrial Internet of things

摘要： 新一代人工智能的迅猛发展,正在深刻影响全球新一轮工业革命。数据要素作为数字经济时代的核心要素,在智能制造应用需求和新一代人工智能的融合推动下正释放巨大价值。数据驱动的工业智能,尤其是以深度学习为代表的工业智能研究前沿,成为学术界和产业界的关注焦点。鉴于此,从工业数据全生命周期中数据预处理、数据建模、数据分析应用等各个关键环节出发,从各维度分析了数据驱动的工业智能,尤其是基于深度学习的代表性新理论与新技术。同时,深入探讨了面向智能制造的典型应用。最后,指出了数据驱动的工业智能研究领域面临的挑战和未来发展方向,这将为基于新一代人工智能的工业智能这一新兴交叉研究领域的发展,提供重要的理论与技术支撑。

关键词: 智能制造, 新一代人工智能, 工业智能, 工业大数据, 深度学习, 工业互联网