How To Make A High-end Equipment Intelligent Manufacturing In The Era Of Industrial Internet

High-end equipment refers to a kind of technical equipment that has high technical content, large capital investment, many disciplines, and long service life. Its R&D and manufacturing generally need to organize cross-department, cross-industry and cross-regional forces to complete. For example, high-end machine tools, aerospace equipment, high-speed EMUs, intelligent networked cars, and high-end forming equipment are all high-end equipment.

    The development of next-generation information technology with Internet, cloud computing, big data and artificial intelligence as the main content has profoundly affected the high-end equipment intelligent manufacturing, and is forming a new industrial ecology and manufacturing model characterized by resource globalization and manufacturing process synergy. .

    Human beings are constantly moving towards the information society, but the status of high-end equipment manufacturing as the cornerstone of the national strategy has never wavered. As a big country in equipment manufacturing, how can we seize the development opportunities brought about by the new generation of information technology, create a big country, and gain international voice in the wave of equipment manufacturing intelligence, which is related to national economic security and national defense security. As.

The core difference between high-end equipment intelligent manufacturing and traditional manufacturing

    From the perspective of the change of manufacturing resources organization, in the traditional manufacturing process, the organization of resources is a partial manufacturing resource. The communication between enterprises is mainly through the supply chain system, the intergenerational changes of products are relatively slow, and the overall ecosystem is relatively stable; In the new generation of information technology environment such as the Internet, the resource organization of high-end equipment intelligent manufacturing is global. The global manufacturing resources are organized across business entities, cross-industry boundaries, and cross-product cycles. The whole system is complex and changeable.

    From the perspective of manufacturing process management change, the management of traditional manufacturing industry is mainly hierarchical. In the process of enterprise management or in the process of enterprise production movement, the main data involved are from within the enterprise, and its optimization is also a step-by-step optimization within the enterprise, or Said, a series of optimization; and in the new generation of information technology environment, enterprise management is a cross-level network management, enterprise management itself requires the data, both internal enterprise data, as well as social network data, and intelligent network The data generated during the operation of the co-products allows the entire manufacturing process to be optimized throughout the process.

    From the perspective of the change of engineering management service model, under the traditional manufacturing mode, service is mainly based on enterprises as the main body of cooperation, paying attention to the information exchange within the enterprise. The service is only the added value of the product, and the product must be sold after sale. Service, supply management and enterprise collaboration are important contents in the process of enterprise service. In the new generation of information technology environment, services are not only enterprise-oriented, but also profit-seeking, factories, workshops, and even one. The equipment of the workshop can be used as a manufacturing resource for global cooperation, and more emphasis is placed on the standard of information interaction. The service runs through the whole process, not only after-sales service, but also by service during the development stage, service by product manufacturing stage, and service by product during service. Therefore, the synergy of services has become the main content of the enterprise.

    From the perspective of information services, the traditional information service is mainly an integrated structure covering multiple systems within the enterprise's manufacturing process. The main decision-making method is the modeled decision-making analysis method based on mathematical statistics, so the enterprise knowledge accumulation is relatively slow; In the new generation of information technology environment, the architecture of enterprise information systems is often based on the cloud-based information system architecture, putting enterprises on the cloud, and the intelligent decision-making method based on big data greatly expands the decision-making method of data statistics. Under this environment, The accumulation of knowledge is accelerating, the sources of knowledge are more extensive, knowledge processing is more convenient, and knowledge is pushed more accurately.

Smart Manufacturing for Industrial Internet

    General Secretary Xi Jinping said at the 19th Academician Conference this year: The world is entering a period of economic development led by the information industry. We must grasp the opportunity of digital, network and intelligent integration development, leveraging information and intelligence. , nurturing new kinetic energy.

    Industrial Internet came into being. The Industrial Internet is not simply a simple Internet + industry, not a simple Internet +, it has its own specific core technology. Industrial Internet refers to the interconnection of multi-level manufacturing resources and innovation resources distributed throughout the country through relevant industrial information standards and the Internet, and then the integration of physical systems and virtual systems through data perception, data analysis and intelligent computing. The manufacturing industry system with interconnected machines, human-machine interconnection, and seamless docking. Industrial Internet expands the depth and breadth of intelligent manufacturing, providing a solid technical foundation for technological innovation, manufacturing model innovation and business model innovation in a smart manufacturing environment.

    There are many key scientific and technical issues in the field of intelligent manufacturing engineering for the industrial Internet. If these scientific and technological problems are thoroughly studied and fruitful, and then promoted through APP, it will be a very good road to informationization and industrialization.

    The technical standard system of the industrial Internet. Intelligent manufacturing for industrial Internet not only requires breakthrough and application of single technology or equipment, but also needs to establish an industrial Internet platform architecture and technical standard system across industries and cross-disciplines, and solve basic bottlenecks such as data integration and interconnection of intelligent manufacturing. Meet the intelligent manufacturing needs of different industries, master the initiative and voice of technology development of intelligent manufacturing. That is, the industrial Internet itself needs to find a technical standard system suitable for industrial applications, which is not available in the current Internet economy.

    Technology innovation system for the industrial Internet. Industrial Internet has opened up enterprise boundaries, and main enterprises, participating enterprises, data resources and border resources have realized collaborative research and development, collaborative manufacturing, and user participation in design through cross-border collaboration, which has triggered the industrial value chain, product system structure, production methods, and manufacturing resources. The major changes in the service model have placed important challenges on the technological innovation system of industrial enterprises. With the industrial Internet, the technological innovation system of the enterprise itself should be changed.

    Manufacturing model innovation system for the industrial Internet. The manufacturing model will also change, based on the industrial Internet platform, to establish a transparent information service, to achieve seamless integration of user needs and manufacturing processes. Through the precise and efficient flexible production, user-driven product iteration, from the enterprise-centric large-scale manufacturing to the user-centered mass customization model, the entire manufacturing value chain is upgraded.

    Business model innovation system for industrial internet. For the industrial Internet, we will innovate business models in the form of innovation, crowdsourcing, intelligence, crowdfunding, collaborative innovation and service innovation, and build consumer-centric, personalized marketing, flexible production and precision services. The combination of online and offline product service systems further expands the business chain of enterprise online platform support and offline services, and the entire business model needs to be rebuilt.

    Manufacturing service innovation system for the industrial Internet. The manufacturing service value network aiming at product service and manufacturing process service has the characteristics of cross-border integration of manufacturing and service, complex and diverse value-added mechanism, and dynamic and multilateral business synergy. There are many scientific and technical issues that need to be resolved around the value network of manufacturing services led by manufacturing companies. For example, the value network reconstruction technology of manufacturing and service integration, the manufacturing service value network operation control technology, the service life cycle closed-loop quality control technology based on fault diagnosis and quality improvement.

    The formation and evolution of the industrial system for the industrial Internet. In the industrial Internet environment, the main players involved in the product life cycle include not only manufacturers and suppliers, but also platform providers, software providers and so on. Manufacturing units have changed from traditional enterprise-based to multi-level manufacturing resources. Manufacturing entities and units form a new type of industrial ecosystem through complex interactions, showing the characteristics of iterative increment and step evolution. New industrial systems and new industrial ecology are forming. The future industrial classification is not the first, second or third production, but the production of A, B and C.

The development of information technology and intergenerational changes

    The new generation of information technology is not only a chip technology, but also a vertical upgrade of a series of single information technologies, such as network technology, data mining, artificial intelligence, virtual reality, etc., and more importantly, the integration of information technology and industry, thereby promoting information services. The platform is characterized by an overall intergenerational transition.

    From this perspective, the earliest first generation is the service platform, the mainframe and medium-sized machines include some terminals; the second generation is personal computers and network connections; the third generation is the Internet of Things, cloud computing, big data, mobile Internet and Application, this is the concentration of higher organizations, from concentration to distribution to concentration.

    The next generation of information technology is the artificial intelligence information technology after the current Internet. Its boundary to the economic and social influence is still invisible for a while, and it is still very early, but it is also gestating in the process. The core development of the next generation of information technology is the economic, social and developmental needs. Although we can't accurately describe it, its development characteristics can be seen.

    First, the deepening and integration of system technology promote each other. On the one hand, information technology itself as a technology field, its key technologies such as chip technology, network technology, etc. continue to develop in the depth direction, more and more intelligent; on the other hand, information technology and industrial development accelerate integration, industry development continues to information Technology puts forward new requirements, the two merge and promote each other, reflecting the development of integration.

    The second is the ubiquity of information processing and the coordinated development of cloudization. On the one hand, in the early stage of information technology development, information processing is carried out on decentralized servers. With the rapid development of cloud computing and virtualization technologies, information processing is becoming centralized; on the other hand, cloud computing and data center technologies are becoming more and more mature. Different industries and enterprises have established their own cloud computing centers and data centers, which in turn represents a higher level of information processing ubiquity.

    The third is the dialectical unity of individualization and commonality of information services. With the continuous development of the economy and society, people's demand for information services is increasingly diversified and personalized, and the continuous development of information technology meets people's personalized service needs. However, when personalization develops to a certain extent, the difference gradually becomes universal, and information services present more and more new common features. A large number of personality developments, with common characteristics, who can find common characteristics, can create a great enterprise.

    The deepening and integration of information system technology, the ubiquity and aggregation of information processing technology, and the individualization and commonality of information service technology are all opposite and unified, and the quality is mutually variable, thus showing a negative affirmation as a whole. Affirmative negation of the development process