人工智能视角下的智能制造前世今生与未来
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摘要
以大数据和深度学习为代表的新一代人工智能将对制造业产生颠覆性影响,为了更好地理解人工智能和智能制造之间的关系以及把握智能制造发展演化规律和趋势,从人工智能发展角度来探讨智能制造的过去、现在与未来,将智能制造发展分为以符号逻辑推理为基础的第一代智能制造和以物联网、云计算、信息物理系统、社会信息物理系统、大数据和深度学习等新一代信息通讯技术为基础的第二代智能制造,并对两者进行了关联对比分析,最后展望了未来人工智能与智能制造的发展。
The new generation artificial intelligence such as big data and deep learning will generate a disruptive impact on manufacturing.To better understand the relationship between artificial intelligence and intelligent manufacturing as well as grasp the patterns and trends of intelligent manufacturing development and evolvement,the past,present and future of intelligent manufacturing from the perspective of artificial intelligence was explored.The development of intelligent manufacturing was divided into the first generation based on symbolic logic inference,and the second generation based on new-generation information and communication technologies such as Internet of Things,cloud computing,cyber-physical systems,socio-cyber-physical systems,big data and deep learning.A correlation between the two generations was analyzed.The future of artificial intelligence and intelligent manufacturing was discussed.
The new generation artificial intelligence such as big data and deep learning will generate a disruptive impact on manufacturing.To better understand the relationship between artificial intelligence and intelligent manufacturing as well as grasp the patterns and trends of intelligent manufacturing development and evolvement,the past,present and future of intelligent manufacturing from the perspective of artificial intelligence was explored.The development of intelligent manufacturing was divided into the first generation based on symbolic logic inference,and the second generation based on new-generation information and communication technologies such as Internet of Things,cloud computing,cyber-physical systems,socio-cyber-physical systems,big data and deep learning.A correlation between the two generations was analyzed.The future of artificial intelligence and intelligent manufacturing was discussed.
引文
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