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Edge computing promotes the realization of intelligent manufacturing. The era of "industry 4.0" will change the use of the whole production technology. The whole system will be more intelligent and connected more closely. Different components can communicate with each other, work faster and respond more quickly. Edge computing promotes the realization of intelligent manufacturing, which is published by the transaction of mechanical and electrical products in China. Industry 4.0 is regarded as the fourth industrial revolution dominated by intelligent manufacturing. Its concept comes from the integration of information technology and industrial technology. Through the information physical system (CPS), it can realize the independent automatic exchange of information, trigger actions and control between manufacturing units in the whole life cycle of products, and transform the manufacturing industry to intelligence. The goal is to establish a highly flexible production mode of personalized and digital products and services, and realize the interaction between people, products and machines. The era of industry 4.0 will change the use of the whole production technology. The whole system will be more intelligent and connected more closely. Different components can communicate with each other, work faster and respond more quickly

the digital era requires intelligent data

with the development of information physical fusion system and IOT, data has become an important factor in the development of manufacturing industry. Connections around the world are becoming increasingly tight. Billions of intelligent devices and machines produce a large amount of data, bridging the virtual world and the real world. Manufacturing enterprises all over the world are trying to transform into digital enterprises to make products more intelligent and the machines that produce products more intelligent. In the near future, every step in the production process will be designed, simulated and optimized in the virtual world, creating a highly simulated digital twin for the real physical world, including materials, products, factories, etc. Among them, we need not only big data, but also intelligent data

however, as Zhu Yiming, the technical director of Hollysys group, said, the challenge facing the digital transformation of industrial manufacturing enterprises lies in the changes in the traditional production mode and production management system caused by digital technology. We cannot simply build digital twins based on the physically existing factory

although the transformation and upgrading of China's industrial manufacturing enterprises is imminent at present, most enterprises, especially small and medium-sized enterprises, have limited technical strength, are generally short of funds, and face difficulties in the process of digital transformation. Xie Bingbing, deputy chief engineer of the Institute of mechanical industry automation, said that it is the common expectation of enterprises to adopt standard, safe, reliable and low-cost ICT technology and products to build CPS, especially CPSS (information physical production system), improve the quality, efficiency and flexibility of production and manufacturing, and improve the market competitiveness of enterprises

the core of edge computing CPS

according to IDC (Internet Data Center) data statistics, more than 50billion terminals will be connected with devices by 2020. In the future, more than 50% of the data needs to be analyzed, processed and stored at the edge of the network. Facing the trend of digital transformation in the industry, we need a large amount of sensing data of IOT; Integrate ot (operation technology) and ICT (information and communication technology) to form a data-driven distributed intelligent control; The application has high real-time performance; The interaction with the physical system has high security. Edge computing is to make full use of the embedded computing power of the object end, realize the intelligence and autonomy of the object end in the way of distributed information processing, and combine it with cloud computing to realize the overall intelligence of the system through the interaction and cooperation of the cloud. At the network edge of intelligent interconnection, communication and Computing Oriented to distributed perception, decision-making and control will usher in revolutionary development opportunities

edge computing is an open platform that integrates the core capabilities of network, computing, storage and application at the edge of the network near the object or data source, and provides edge intelligent services nearby to meet the key needs of industry digitalization in agile connection, real-time business, data optimization, application intelligence, security and privacy protection. In other words, edge computing is close to the concept of distributed self-discipline in industry. In the heterogeneous distributed computing environment based on interconnection, the combination of centralization and decentralization not only makes effective use of interconnected resources, but also ensures the self-discipline, security and robustness of user systems

as we all know, the core of industry 4.0 is CPS. According to Xie Bingbing, edge computing, which integrates network, computing, storage and application core capabilities, is obviously the core of CPS. Therefore, it is not too much to regard edge computing as the core and key of industry 4.0. Through the resources and capabilities of edge computing, virtual space (c) and physical entity (P) can be closely integrated. In the field of industrial manufacturing, IOT, big data, cloud computing and even edge computing are indispensable to realize digital manufacturing, networking collaboration and intelligent transformation

edge computing is closely related to industrial control system. Industrial control system with industrial interconnection interface is essentially an edge computing device, which solves the contradiction between the high real-time requirements of industrial control and the uncertainty of interconnection service quality. In the past, we have been very familiar with cloud computing, and edge computing is more like the supplement and development of cloud computing, which cannot be replaced by each other

edge computing and cloud computing work together to enable the digital transformation of the industry. Cloud computing focuses on big data analysis of non real-time and long-term data, and can play a special role in periodic maintenance, business decision support and other fields. Edge computing focuses on the analysis of real-time and short-term data, which can better support the real-time intelligent processing and execution of local businesses. In addition, there is a close interaction and synergy between the two. Edge computing is not only close to the execution unit, but also the collection unit of high-value data required by the cloud, which can better support the big data analysis of cloud applications; On the contrary, the business rules optimized by cloud computing through big data analysis can also be distributed to the edge side, and edge computing optimizes the business execution based on the new business rules

in the future, in most application scenarios, edge computing and cloud computing will appear at the same time, complement and promote each other, complement each other, and jointly solve the computing problems in the era of big data

it should be said that these three are an organic whole to promote the realization of intelligent manufacturing

the edge computing industry has rich application scenarios and outstanding industrial value. On the one hand, it supports the innovation of industry business model and realizes the value extension from products to services; On the other hand, support the customization and intellectualization of products and services. Predictive maintenance, energy efficiency management and intelligent manufacturing are typical industrial application scenarios

some people may think that edge computing is a new concept, but in fact, it is no stranger to people engaged in industrial automation. For example, in the currently widely used control system based on PLC, DCS, industrial computer and industrial network, the computing resources at the bottom and embedded in the equipment are more or less edge computing resources. However, at present, these resources are relatively complex, independent and inefficient, and have not fully realized interconnection, interoperability and interoperability, and have not been fully standardized and platformized. Of course, it is difficult to meet the requirements of modern application scenarios in real-time, security, large capacity, high speed, adaptive computing and communication

Zhang Yungui, director of the State Key Laboratory of hybrid process industrial automation control system and equipment of the metallurgical automation research and Design Institute of China Iron and Steel Research Institute, cited an example. At present, metallurgical enterprises above Designated Size have achieved considerable success in informatization, but what they lack is terminal intelligence. Metallurgical data often have problems of integrity and consistency, commonly known as dirty data. Failure to solve this problem will cause difficulties in energy management and intelligent management. Moreover, the logistics tracking of metallurgy is a typical CPS, during which the physical and chemical forms often change, and the control process is difficult. Edge computing plays an important role in it, helping physical connection and becoming an effective supplement to industrial IOT technology

as a specific form of edge computing, industrial CPS encapsulates field devices into web service bagasse through industrial service adapters at the bottom; At the infrastructure level, field devices are connected to the industrial data platform in a flat interconnection manner through industrial wireless and industrial SDN networks; In the data platform, according to the process and process model of the production line, the field equipment is dynamically managed and combined through service combination, and connected with MES and other systems. The industrial CPS system can support the production plan, flexibly adapt to the changes of production line resources, and quickly replace the old manufacturing equipment and launch the new equipment

obviously, by introducing edge computing, it can provide the manufacturing industry with: flexible replacement of equipment; Flexible adjustment of production plan; Rapid deployment of new processes/models. Further promote the realization of intelligent manufacturing

alliance leads the development of edge computing industry

as an emerging industry, edge computing has broad application prospects. The industry spans ot, it and CT at the same time. Its situation includes: fields, and involves multiple industrial chain roles such as network connection, data aggregation, chip, sensor and industry application. In order to comprehensively promote in-depth industrial collaboration and accelerate the digital innovation and industrial application of edge computing in various industries, Huawei Technology Co., Ltd., Shenyang Institute of automation, Chinese Academy of Sciences, China Academy of information and communications, Intel Corporation, arm and softcom power information technology (Group) Co., Ltd., as founding members, jointly proposed to launch the edge computing industry alliance, It is committed to promoting the cooperation of various industrial resources in politics, industry, University, research and utilization, and leading the healthy and sustainable development of the marginal computing industry

it is understood that the short-term goal of the alliance is to develop a technical architecture, promote horizontal decoupling and Taiwan based on the premise of ensuring the safety and reliability of the scheme, build a test bed, industrial and commercial demonstration, promote the replicability of the scheme, and promote the implementation of standards. Its long-term goal is to build an open ecological platform, based at home and facing the world, promote the integration and cooperation of industrial chains through new ecosystems, and provide more competitive solutions for end users

the global digital revolution is leading a new round of industrial transformation. The wave of industrial digital transformation is pregnant with the rise of increasing its mechanical properties through appropriate heat treatment processes. The remarkable feature of this wave is to bring things into intelligent interconnection, greatly improve the level of industry automation with the help of the deep cooperation and integration of OT and ICT, meet users' personalized product and service needs, promote the transformation from product to service operation life cycle, trigger product service and business model innovation, and have a long-term and profound impact on the value chain, supply chain and ecosystem. In the future, we will live in an intelligent society in which all things perceive, all things are interconnected, and all things are intelligent. Edge computing will become an enabling technology of intelligent interconnection. In the era of industry 4.0, it will add intelligent wings to the digital transformation of the industry and perfectly present the world of intelligent manufacturing

edge computing promotes the realization of intelligent manufacturing, which is collated and released by China's electromechanical products trading. If you need to reprint, please indicate the source of the article. For more industry information, please click attention: electromechanical industry

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