What are the outstanding features of the Industry 4.0 era?

Under the impetus of the Internet, the real world and the virtual world are increasingly close, bringing economic development to a new stage and creating new opportunities for the development of the manufacturing industry. Academia and industry believe that the global economy is at the beginning of the fourth industrial revolution, "Industry 1.0" is the era of steam engines, "Industry 2.0" is the era of electrification, "Industry 3.0" is the age of information, and "Industry 4.0" It is an era that uses the intelligence of information-based physical fusion systems to promote industrial change.

The concept of "Industry 4.0" describes a fundamental shift from centralized control to decentralized enhanced control with the goal of creating a highly flexible production model for personalized and digital products and services. It means taking a new level of organization and control of the entire value creation chain throughout the product lifecycle, from idea to order, to R&D, production, product delivery and service, to waste recycling, at all stages. Better meet the increasingly personalized customer needs. In this model, traditional industry boundaries disappear and new forms of activity and forms of cooperation are created. The process of creating new value is changing and the division of industry chain will be reorganized.

To achieve "Industry 4.0" urgently needs to study five major themes: First, the horizontal integration of value creation network, including the new business model, the structure of the value creation network, and the automation of the value creation network. The second is the consistency of engineering throughout the life cycle. To integrate the real world and the virtual world, and to consider the interfaces of the real world and the virtual world at various levels, it is necessary to reach a consensus on models in the fields of mechanical manufacturing, electrical engineering, and computer science. Use system engineering methods to integrate products, production processes, and production systems. The third is a vertically integrated and networked production system. Optimize process control through sensor data analysis. It is necessary to develop intelligent, flexible and variable intelligent production systems, adapt to the environment according to the comprehensive knowledge model, improve R&D, production, maintenance and product life cycle management, and improve resource efficiency.

The fourth is the new work infrastructure. To form a new type of collaborative work with the aid of intelligent auxiliary systems, the work design should make the workers' ability to accept, create and self-development fully play, and ensure the health and comfort of workers. The fifth is cross-domain technology. A wireless networking package should be developed to enable full use across domains. To build a secure architecture and strategy that meets security requirements, and integrate relevant methods and tools into the information physical fusion system. To develop an industry 4.0 platform with a reference architecture and a service-oriented distributed architecture, to create conditions for networking and integration across the enterprise.

Since "Industry 4.0" was proposed at the Hannover Messe 2011, this new term has become the "new darling" of the domestic government, academics, industry and the media. In the short term, “Industry 4.0” is also expected to become a new hot concept in the A-share market.

From the content point of view, "Industry 4.0" means that the future industrial production organization will be transformed into customization, decentralization and integration, which will gradually break the boundary between Internet enterprises and industrial enterprises, and the boundary between production enterprises and service enterprises will become increasingly blurred. Industry integration promotes a service-oriented economy.

Germany pushes the industry 4.0 strategy and hopes to stabilize the global manufacturing industry by creating new standards for smart manufacturing. China's manufacturing industry must accelerate its catch-up efforts, and it is expected to breed super-publics in areas such as smart factories. From the perspective of the machinery industry, we are optimistic about the core equipment of the smart factory: robots, intelligent machine tools, intelligent instruments, etc., optimistic about the future integration of smart factories.

Conceptually, "Industry 4.0" describes the development of equipment, production and systems in the industrial field in the form of a network based on the Cyber-Physical System (CPS). This is a centralized approach. Controlling the shift to the basic paradigm of decentralized enhanced control, ultimately creating a highly flexible, personalized and digital production model for products and services; while "Industrial Internet" refers to the integration of complex machinery with networked sensors and software. This involves areas such as machine learning, big data, the Internet of Things, and machine-to-machine. The process involves extracting data from the machine, performing real-time analysis, and using it to adjust operations.

There are several basic features of this ongoing revolution -

Intelligent machines: connect a large number of machines, equipment, etc. with new methods such as advanced sensors, controls and software applications;

Advanced analytical capabilities: physics-based analysis, predictive algorithms, specialized areas of automation and materials science, electrical engineering and other key disciplines that help understand the operation of machines and systems;

People at work: Let people at work be intelligently designed, operated and maintained with high quality and safety, whether they are in factories, offices, hospitals or on the move.

In fact, people who are familiar with a series of production management tools and methods such as enterprise resource system (ERP), product lifecycle management (PLM), and supply chain management find that they can finally be in information communication, data processing, In the fields of automatic control and simulation, a "smart factory" is created on the blueprint of an automated factory. In Germany, famous German companies such as BASF, BMW, Bosch, Daimler, SAP, and Siemens have invested in top R&D resources, and the United States General Electric Company on the other side of the ocean has invested a lot of manpower and resources in machine analysis and industry. Insight, automation and business forecasting combine to create a new commercial experiment in the Industrial Internet.

The Booz & Company study found that smart factories need to achieve four goals: product intelligence, production automation, information flow and material integration, and value chain synchronization. These require enterprises to invest resources and capacity building from many aspects such as factory layout, facilities, product production processes, and human resources. Although no company can claim to have completed the entire construction of the smart factory, the first mover is already in action.

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