Intelligent Manufacturing Enabled by Information and Communication Technology in Industrial Environment
Bohu Li, Xudong Chai, Yang Liu, Tan Li, Tingyu Lin, Dayin Wei, Yandong Li
Abstract
Next-generation intelligent manufacturing systems are being developed to integrate information and communication technologies (ICTs) with industrial technologies and to support a rapidly unfolding new cycle of industrial revolution. The rapid evolution of ICTs has shown potential to accelerate the development of intelligent manufacturing. In this study, we propose a technical framework for the emerging intelligent manufacturing system and elaborate the connotations and characteristics of an architecture of technical subsystems regarding ICTs from the perspective of industrial Internet systems and four basic technologies, including industrial big data, artificial intelligence (AI), fifth-generation mobile communications (5G), and modeling simulations and digital twin technology. Subsequently, we present vertical, horizontal, and end-to-end application scenarios of intelligent manufacturing enabled by ICTs, and present several suggestions for the promotion of the new intelligent manufacturing system through ICTs. First, special science and technology projects should be established that focus on advanced networks, collaborative computing, and reasoning systems using industrial knowledge. Second, industrial development should focus on implementing 5G applications, network collaboration, and intelligent and intelligently connected products based on next-generation AI technology, as well as domestic development of modeling simulations and digital twin tool sets and systems. Third, application demonstrations should be conducted regarding industrial design based on 5G Plus industrial virtual reality, industrial platforms for AI using the Internet of Things, and intelligent design of industrial products based on modeling simulation and digital twin technology. Meanwhile, efficient and collaborative working mechanisms should be developed to promote new intelligent manufacturing policies, accelerate the construction of interconnection standards groups, promote industrial logistical networks and supply chains through academic-industrial research collaboration, and enhance the deep integration of industry and education in intelligent manufacturing.