1 The status quo of smart manufacturing in steel manufacturing enterprises
With the rapid development of iron and steel enterprises, the integration of industrialization and informatization of iron and steel enterprises continues to deepen, and the need for Chinese iron and steel enterprises to strengthen their own informatization construction is becoming more and more urgent. The current new generation of information technology represented by the Internet, big data, artificial intelligence, 5G, blockchain, etc. is changing with each passing day. The new round of intelligent manufacturing revolution is bound to have a major and far-reaching impact on the development of the steel industry. The implementation of intelligent manufacturing in the steel industry has certain advantages: first, the steel industry is a traditional industry that urgently needs to be transformed and upgraded, and has an urgent internal drive; second, the steel industry is a typical industry for the generation and application of big data, and it is feasible to achieve; The production process of the iron and steel industry belongs to a continuous manufacturing industry with standardized technological processes, which can be widely implemented; fourth, the iron and steel industry has a good foundation of automation and information in the field of industrial production, which is the most urgent for the transformation and upgrading of enterprise intelligent manufacturing , Is also the industry closest to intelligent manufacturing. At present, intelligent manufacturing in the steel industry is in its infancy, and the following main problems still exist.
1.1 The foundation of smart manufacturing needs to be improved
The foundation of intelligent manufacturing is digitization and informatization. After years of development, the automation of basic equipment in the steel industry, automation of production processes, and business management systems have been greatly improved, providing a good foundation for intelligent manufacturing in the steel industry. However, the steel industry is a typical process manufacturing industry. Compared with discrete manufacturing, the business process is much more complicated. As an informatization basis for the transformation and upgrading of enterprise intelligent manufacturing, there is still much room for improvement and improvement. For example, the adaptability of the smelting intelligent control system model to changes in external factors needs to be improved, and closed-loop control cannot be formed; the level of planning and scheduling in the whole process needs to be strengthened, and most production control requires manual intervention. Dynamic coordinated scheduling of production-energy-logistics needs to be strengthened; dynamic, closed-loop, full-life cycle quality control has yet to be formed. There is a big gap in the supply chain coordination that realizes the coordination of information, resources, business, and market, and the enterprise information system lacks information integration Integration with functions, and the level of integration of management and control needs to be improved.
The survey found that most iron and steel enterprises have not yet realized the innovation of management system in the process of intelligent manufacturing and control, and have not built a modern database. Therefore, it is more difficult for enterprises to manage consumers and it is difficult for iron and steel enterprises to meet the diversified needs of customers. In the future development process of iron and steel enterprises, they must take customer needs as the starting point to improve their internal information sharing capabilities, build an informatization information sharing platform, and implement informatization technology into mine production, so that various resources can be rationalized. distribute.
1.2 Unbalanced development of intelligent manufacturing level
According to the analysis of the intelligent manufacturing capability maturity model, the intelligent manufacturing level of various iron and steel enterprises is quite different. Some advanced iron and steel enterprises have a relatively high level of intelligent manufacturing. However, there are still a large number of iron and steel enterprises that are not at a high level of industrialization and informatization. The informatization framework is only realized. At the L3 level, operation management and data decision-making that combine production and operation are blank, and intelligent applications are at the initial stage. Although some companies with relatively good levels of intelligence have begun to establish data centers or data centers, the serial connection between the data source application systems lacks standardization, and there are data gaps between the systems, and the same index data The inconsistency of the source has caused the business value of the information system to be greatly reduced.
1.3 The level of smart manufacturing solution suppliers needs to be improved
At present, there are a large number of smart manufacturing solution suppliers in the steel industry, but there are very few suppliers that can export mature smart manufacturing solutions for the steel industry. There is a lack of research and development, promotion and application of common smart manufacturing technologies, and they have strong professional service capabilities and can effectively support and serve steel. There are few leading service organizations for smart manufacturing in the industry.
1.4 The lack of a complete set of intelligent manufacturing standard systems
"Intelligent manufacturing, standards first", standardization work is an important technical basis for intelligent manufacturing and other major strategic choices. We must strengthen the construction of the intelligent manufacturing standard system. New-generation information technologies such as big data, Internet of Things, artificial intelligence, and industrial Internet have been applied to varying degrees in the iron and steel industry. However, as the intelligent manufacturing standardization system in the iron and steel field is being improved, there is a lack of guidance and guidance from a complete set of industry intelligent manufacturing standard systems , Resulting in the steel industry lacks a clear path in the development of intelligent manufacturing.
1.5 The level of intelligent decision-making needs to be improved
The core of intelligent manufacturing in iron and steel enterprises is the efficient development of information resources, the improvement of the overall utilization of resources, the realization of full-process data circulation, and the realization of intelligent decision-making based on business data analysis. As a new type of production material, data is a key element for realizing enterprise intelligent decision-making. However, many companies pay too much attention to the construction of business systems, and insufficient data integration and data application value mining. They have not really realized the value of data application. They only did data collection. In-depth data analysis and data mining, data did not play the maximum application value. Although some steel companies have established comprehensive management and control platforms for data visualization, they have only achieved multi-dimensional display of data and reached the level of digitization. They have not discovered the deep value behind each piece of business data, and rely on data to help enterprises with intelligence Transformation.
1.6 The level of supply chain coordination urgently needs to be improved
The supply chain of the steel industry can be divided into five links, namely planning, procurement, production, distribution and sales. At present, the five links of the steel industry's supply chain have not formed a system integration, and the integration of production and sales has not yet been achieved, and the flow of information, capital, logistics, and business have not achieved organic unity and integration. "Data Map" shows that in 2018, the proportion of enterprises in China's steel industry that achieved integration of production, supply and marketing was 19.8%, and that of enterprises that achieved industrial chain integration was 5.4%. It can be seen that steel companies have a lot of room for improvement in supply chain coordination. Only by effectively integrating the logistics, information flow and capital flow of the upstream and downstream of the supply chain, realizing the interconnection of the whole chain, and accurately connecting the two ends of supply and demand, can steel companies be better enhanced. One's own "immunity".
2 Analysis of the development strategy of intelligent manufacturing in the iron and steel industry
In order to help the steel industry to achieve intelligent transformation and upgrading in the new era, smart manufacturing in the steel industry must focus on improving the smart manufacturing standard system for the steel industry, strengthening the infrastructure of smart manufacturing, building smart manufacturing platforms, and accelerating talent training.
2.1 The development of intelligent manufacturing must be closely integrated with the construction of standardization
The overall idea of intelligent manufacturing in steel enterprises should be based on the construction of intelligent manufacturing standard systems and platform construction, improving the level of digitalization, networking, and intelligence of steel enterprises, and creating intelligent manufacturing solutions for the iron and steel industry. Standards and specifications are the foundation for the application of enterprise information technology and the development of intelligent manufacturing, and the driving force for the development of intelligent manufacturing in the iron and steel industry. Standardization system construction and standard promotion will provide strong support for the development of intelligent manufacturing in the steel industry. The existing standards and specifications can no longer fully meet the requirements of the development of intelligent manufacturing, and the standard system that meets the requirements of the development of intelligent manufacturing must be improved. In particular, it is necessary to strengthen the construction of frontier field standards and make up for the shortcomings of the standardization system. In addition, it is necessary to promote the construction of standardization organizations, personnel training, and the breadth and depth of standardization implementation to consolidate the basic support system for standardization work.
2.2 Strengthen the infrastructure of intelligent manufacturing and promote the application of the Industrial Internet in steel manufacturing
Iron and steel enterprises should seize the opportunity of 5G development, vigorously develop the "Internet +" model, and promote industrial robots and digital intelligence on the basis of improving the four-level information system of basic automation systems, production process control systems, manufacturing execution systems, and enterprise management systems. High-end equipment, intelligent control technology and flexible manufacturing process technology are integrated and connected to the Internet. Actively study the integration path of steel manufacturing and industrial Internet to provide services for precision manufacturing of steel enterprises.
2.3 Build the industry's intelligent manufacturing platform and integrate intelligent manufacturing into the whole process of steel
Intelligent manufacturing is a system engineering, digitization and networking are the foundation, and intelligence is the deep-water area of technology. On the basis of complete digitization and networking, enterprises take a pragmatic attitude and consider the overall plan, do a good job in technology accumulation, and implement intelligent manufacturing on demand. Actively explore the integrated application of industrial Internet, artificial intelligence, big data, cloud computing and other information technologies in the entire process and industrial chain of enterprise product R&D and design, energy management and control, manufacturing, quality control, sales service, and operation management, and build a manufacturing process Intelligent, intelligent enterprise decision-making, intelligent production and service, and big data integrated application of the steel industry Internet platform, gradually build a new intelligent production system that is intensive, accurate, efficient, high-quality, low-consumption, safe, environmentally friendly, and real-time optimization to support the entire industry The improvement of manufacturing level and capacity.
2.4 Speed up personnel training and build a public service platform for intelligent manufacturing in the steel industry
The foundation of the development of intelligent manufacturing is talents. All levels of society are fully cooperating to strengthen the cultivation and introduction of talents, establish training bases, cultivate high-level compound talents who understand steel manufacturing, information technology, and business management, and gradually form professional intelligent manufacturing talents Team. Innovate cooperation mechanisms and methods, build a public service platform for intelligent manufacturing in the steel industry, integrate resources from all parties to provide steel companies with high-quality and high-level services such as management consulting, technical services, knowledge sharing, and supply chain coordination. Guide social resources to gather in the field of intelligent steel manufacturing, accelerate the output of advanced concepts, share advanced technologies, and promote mature intelligent manufacturing experience models.
2.5 Promote industrial collaborative application
Steel companies open up the supply of raw materials and product demand in the upstream and downstream industrial chains, use big data technology to deeply explore customer needs, and develop personalized customization based on the Internet through the combined effects of new technologies such as big data, cloud computing, mobile Internet and Internet of Things And other new manufacturing models, forming an intelligent manufacturing system based on consumer demand dynamic perception of R&D and manufacturing and industrial organization, realizing remote diagnosis management, intelligent monitoring, and the entire industry chain traceability based on the interconnection and interoperability of industrial Internet new applications.
