A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios

作者：Zhang, Xianyu^*; Ming, Xinguo; Liu, Zhiwen; Yin, Dao; Chen, Zhihua; Chang, Yuan

来源：International Journal of Advanced Manufacturing Technology, 2019, 101(9-12): 2367-2389.

DOI：10.1007/s00170-018-3106-3

• Industrial artificial intelligence (I-AI)
• Artificial intelligence (AI)
• Intelligent manufacturing
• Industry 4.0
• Industrial value chain
• Artificial intelligence solution

With the breakthroughs in artificial intelligence technology and the rapid development of intelligent manufacturing, industry and artificial intelligence (AI) are gradually being deeply integrated. On the basis of artificial intelligence, we systematically expounded the generation, definition, characteristics, classification, technical system, and current situation of industrial artificial intelligence (I-AI). Combining existing research and industrial projects, we propose a detailed framework and a reference model for I-AI in industry. The framework contains seven dimensions: objects of I-AI, domain of I-AI, application stages of I-AI, application requirements of I-AI, intelligent technology of I-AI, intelligent function of I-AI, and solutions of I-AI. Secondly, based on the application scenarios of artificial intelligence and industrial convergence, we propose a detailed overall planning for I-AI. Finally, five typical industrial fields are selected, and the I-AI solutions based on TFV (technology and function integration in industrial value chain) unit and 6W1H method are used for new application scenarios of the proposed framework. In addition, a detailed case of implementing for I-AI in port equipment industry is given. The research results of this paper have achieved good results in the related industrial field and can provide some reference for other industrial enterprises to plan, design, implement, and apply artificial intelligence.

• 出版日期2019-4
• 单位上海交通大学