“A new era of Internet + artificial intelligence + manufacturing is coming. The ecosystem of this era can be represented by the 24 words of ubiquitous interconnection, data-driven, shared services, cross-border integration, autonomy, and innovation.†2017 1 On the 6th of the month, at the "China Intelligent Manufacturing 100th Annual Meeting and the Top 30 Intelligent Manufacturing Demonstration Summit" jointly sponsored by China Intelligent Manufacturing 100 People and China Information Technology magazine, member of the National Manufacturing Power Country Strategic Advisory Committee and China Academy of Engineering Academician Li Bohu said.
Nowadays, countries have formulated strategic plans to return to the manufacturing sector, including the US industrial Internet-based national manufacturing innovation network plan in 2012, Germany's CPS “Industry 4.0†plan, and China's “Made in China 2025†based on the integration of the two industries. And the "Internet +" action plan. The core content of these strategic plans is the active development of smart manufacturing technologies, industries and applications.
The team led by Academician Li Bohu began to engage in manufacturing informationization in the 1980s. At that time, it was also called "two integrations." Based on the results of its cloud simulation work in 2006 and 2009, Li Bohu proposed the concept of “cloud manufacturing†and began research and practice of “cloud manufacturing 1.0†with network and service as the main features; Smart cloud manufacturing characterized by interconnection, service, collaboration, personality, flexibility, and socialization, namely "Cloud Manufacturing 2.0."
"This is the means and format of the intelligent manufacturing model in the era of Internet + artificial intelligence + manufacturing. This is the means and format of intelligent manufacturing mode for the integration of manufacturing and Internet." Li Bohu told the China Electronics News reporter.
Li Bohu said that smart cloud manufacturing is based on ubiquitous networks, with deep integration of technologies in large manufacturing technologies, information and communication technologies, intelligent science technologies and manufacturing applications. Digital, networked and intelligent technologies are used as a means to form a user-centric The unified management of the wisdom of manufacturing resources and capabilities of the service cloud.
This is an internet service network for people, machines and materials management information. Users connect to the cloud manufacturing service platform through the terminal, and can obtain the required manufacturing resources and capabilities anytime and anywhere. Autonomous, intelligent, perceptual, interconnected, collaborative, learning, analytical, cognitive, decision-making, control, and execution of manufacturing human-machine environments and information throughout the entire lifecycle, enabling system-wide people, organizations, operations, and Technology flow, information flow, logistics, capital flow, knowledge flow, service flow optimization, form a new model. This model is based on ubiquitous network users, and is a model for integrating human-machine and environmental information, interconnecting services, personalized customization, and flexible socialization.
One of the cores of cloud manufacturing and manufacturing of life-cycle smart applications is the support of the smart cloud manufacturing platform, which needs to add real things to the cloud pool and then serve it. Specifically, it includes an architecture. The bottom layer is the resources and capabilities of smart manufacturing. The above is the platform layer. The platform layer includes several levels of perceptual access and virtual pool, common and manufacturing-oriented cloud design, cloud management and cloud experiment. Among them, there are various resources and capacity management, building virtual smart manufacturing systems and running services, and the evolution of big data. The last is capacity sharing, applied to industries, companies, workshops, products, and equipment lines.
Li Bohu pointed out that the knowledge and technology system of the smart cloud manufacturing system includes the overall framework, business model, system formation method, standardization, security and system evaluation technology. Among them, including the product's professional technology, namely cloud design, production, management, simulation experiment and service technology; system software technology, namely platform software and application software architecture; supporting software technology, namely new large manufacturing technology, information communication Technology, intelligent science and technology; cloud computing technology, providing information resource capabilities; big data technology, providing intelligent manufacturing systems with accurate, efficient and intelligent life-cycle activities.
"Smart cloud manufacturing is the landing and expansion of cloud computing in the manufacturing field. It expands computing resources, manufacturing resources and capabilities in resource sharing. Smart cloud manufacturing proposes a manufacturing model, user-centered interconnection and service. , collaborative, personalized, flexible, socialized manufacturing products and service users, based on four types of technology deep integration as a means, including digital, IoT, virtual services, collaboration and customization, and flexibility." Li Bohu explained.
He said that the wisdom cloud manufacturing has Chinese characteristics, aiming at improving the market competitiveness of manufacturing enterprises, highlighting the problem orientation, highlighting the deep integration of the four types of technologies, forming a user-centered integrated manufacturing system for human and physical objects, and enterprises at different stages. In the cloud, information exchange, resource sharing, capacity coordination, and mutual benefit can be achieved.
Li Bohu pointed out that big data in "Cloud Manufacturing 2.0" is a very important aspect. Big data here includes data on manufacturing lifecycles, data on business operations management, and data on technology products and equipment. According to the form, it can be divided into structured, semi-structured, unstructured and mixed; according to the flatness, it can be divided into dynamic, static and real-time.
Big data is an important manifestation of intelligence. Li Bohu believes that big data is a strategic resource for smart manufacturing cloud construction and operation. It plays a very important role and can provide accurate, efficient and intelligent operational analysis. The accurate and efficient use of big data, intelligent use of cloud lifecycle activities and the whole system, and the promotion of cloud manufacturing wisdom, can promote the competitiveness of enterprises.
"Smart manufacturing must also have a technological innovation system and talent training." Li Bohu stressed.
In terms of technology, we must pay attention to the continuous research of algorithms and special problems in the field of big data technology; attach importance to the deep integration of various technologies such as big data and information communication, artificial intelligence, system engineering and manufacturing technology; pay attention to the big data cloud service for users. Research on technology; pay attention to the technical research of new models, processes and means based on big data manufacturing life cycle; pay attention to business model technology research in line with the sharing economy. Pay attention to safety technology and related standards and evaluation index system technology research.
In terms of application, it is necessary to highlight the manufacturing characteristics, carry out according to the characteristics of the industry, focus on the problem-oriented, highlight the mode and means of the smart cloud manufacturing management operation driven by big data, and break through the comprehensive integration of manufacturing three elements and five streams. Optimization, optimization and intelligence. In terms of industry, it is necessary to strengthen the R&D industry of big data technology tools and platforms, strengthen the construction and operation of big data systems, and strengthen the operational service industry of industrial cloud data centers.
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