The hottest intelligent manufacturing special laun

2022-08-15
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Smart manufacturing special launch six types of declaration are subject to regulations

as one of the "6+1" special actions of the Ministry of industry and information technology in 2015, the smart manufacturing pilot demonstration special action was officially launched recently. Since 2015, the Ministry of industry and information technology will focus on the key links of manufacturing, select pilot demonstration projects in key regions, industries and enterprises with good basic conditions and urgent needs, and carry out pilot demonstrations in six aspects, including process manufacturing, discrete manufacturing, intelligent equipment and products, new business forms and modes of intelligent manufacturing, intelligent management, and intelligent services. As one of the "6+1" special actions of the Ministry of industry and information technology in 2015, the intelligent manufacturing pilot demonstration special action was officially launched recently. Since 2015, the Ministry of industry and information technology will focus on the key links of manufacturing, select pilot demonstration projects in key regions, industries and enterprises with good basic conditions and urgent needs, and carry out pilot demonstrations in six aspects, including process manufacturing, discrete manufacturing, intelligent equipment and products, new business forms and modes of intelligent manufacturing, intelligent management, and intelligent services

on April 1, the Ministry of industry and information technology issued the notice on the recommendation of intelligent manufacturing pilot demonstration projects in 2015 (hereinafter referred to as the notice), and the conditions of intelligent manufacturing pilot demonstration elements (hereinafter referred to as the conditions of elements) were issued as an annex at the same time. The notice stipulates the basic conditions, recommendation procedures, application requirements and other contents for the recommendation of intelligent manufacturing pilot demonstration projects. Combined with the characteristics of the six categories of pilot demonstration projects, the corresponding element conditions are formulated respectively, and the recommended projects should meet the requirements of the corresponding categories

according to the requirements of the notice on carrying out the 2015 smart manufacturing pilot demonstration special action and the 2015 smart manufacturing pilot demonstration special action implementation plan issued by the Ministry of industry and information technology in March, the Ministry of industry and information technology will select more than 30 smart manufacturing demonstration projects based on the "element conditions". Among them, more than 5 pilot demonstration projects of intelligent factories and digital mines will be selected in the field of process manufacturing, more than 5 pilot demonstration projects of digital workshops will be selected in the field of discrete manufacturing, at the same time, more than 10 integrated application projects of intelligent equipment and products will be selected, as well as more than 10 pilot demonstration projects of new formats and modes of intelligent manufacturing, intelligent management and intelligent services

equipment systems need to be safe and controllable

as one of the "6+1" special actions of the Ministry of industry and information technology in 2015, the special action of intelligent manufacturing pilot demonstration was officially launched recently. Since 2015, the Ministry of industry and information technology will focus on the key links of manufacturing, select pilot demonstration projects in key regions, industries and enterprises with good basic conditions and urgent needs, and carry out pilot demonstrations in six aspects, including process manufacturing, discrete manufacturing, intelligent equipment and products, new business forms and modes of intelligent manufacturing, intelligent management, and intelligent services

the notice requires that the implementation unit of the pilot demonstration project should have independent legal personality, have good operation and financial conditions, and the technical level of the project should be at the domestic leading or international advanced level. The equipment and systems used in the demonstration project should be independent, safe and controllable. At the same time, the project is reducing operating costs, shortening product development cycle, improving production efficiency, reducing product defect rate Remarkable results have been achieved in five aspects of improving energy efficiency, and continue to improve

according to the notice, pilot demonstration projects are recommended by the local competent departments of industry and information technology and the central enterprise group. Priority is given to projects with good basic conditions, strong growth, meeting the requirements of the integration management system of industrialization and industrialization, and carrying out various types of pilot demonstration projects in an enterprise

the requirements of the six types of projects have their own emphasis

the "element conditions" defines the element conditions that the six pilot demonstration projects need to have. First, in applying for the pilot demonstration project of process Manufacturing in the direction of digital chemical plant/intelligent factory, enterprises need to meet the following conditions: first, the overall design, engineering design, process flow and layout of the factory have established a relatively perfect system model, and have carried out simulation, and the design related data are entered into the core database of the enterprise

second, the data acquisition system and advanced control system that meet the design requirements are configured. The automatic data acquisition rate of production process data is more than 90%, and the utilization rate of factory automatic control is more than 90%. The key production links realize model-based advanced control and optimization

the third is to establish a real-time database platform and realize interoperability and integration with process control and production management systems. Factory production realizes information sharing and optimized management based on industrial interconnection

fourth, a manufacturing execution system (MES) is established and integrated with the enterprise resource planning management system (ERP). Production planning and scheduling are modeled to achieve production modeling analysis and decision-making, quantitative management of process, and dynamic tracking of cost and quality

fifthly, an enterprise resource planning management system (ERP) was established to realize the management and optimization of raw materials and finished products distribution in supply chain management. Using the new generation of information technologies such as cloud computing and big data, we can realize the intelligent optimization of enterprise operation, management and decision-making on the premise of ensuring information security

through continuous improvement, realize dynamic optimization of operation process, transparency and sharing of manufacturing information and management information throughout the process, use big data and cloud computing to realize enterprise intelligent management and decision-making, and comprehensively improve the level of resource allocation optimization, operation automation, real-time optimization, refinement of production management and scientific intelligent decision-making of enterprises

second, in terms of applying for discrete manufacturing pilot demonstration projects in the direction of digital workshops/smart factories, which are respectively Yucheng sub center of national sugar engineering technology research center of South Shandong University, Yucheng bioengineering Utilization Technology Research Institute of South Shandong University, Shandong graphene Engineering Technology Research Institute, and Yucheng crystal material utilization Technology Research Institute of South Shandong University, Enterprises need to meet the following conditions: first, the overall design, process flow and layout of the workshop/factory have established digital models and carried out simulation, so as to realize the digital management of the whole process of planning, production and operation, and the relevant data are entered into the core database of the enterprise

the second is to adopt advanced technologies such as three-dimensional computer-aided design (CAD), computer-aided process planning (CAPP), design and process route simulation, reliability evaluation, etc. Product information can run through design, manufacturing, quality, logistics and other links to achieve product life cycle management (PLM)

third, establish a production process data acquisition and analysis system, which can fully collect the production site information such as manufacturing progress, field operation, quality inspection, equipment status, and realize data integration and analysis with the workshop manufacturing execution system

fourth, establish a workshop manufacturing execution system (MES), realize the closed-loop management of the whole process of planning, production scheduling, production and inspection, and integrate with the enterprise resource planning management system (ERP)

fifth, establish workshop level industrial communication networks to realize information interconnection and effective integration among systems, equipment, parts and personnel

sixth, establish an enterprise resource planning management system (ERP) and put it into actual operation. The supply chain management module can realize the management and optimization of procurement, outsourcing and logistics. Using the new generation of information technologies such as cloud computing and big data, we can realize the intelligent optimization of operation, management and decision-making on the premise of ensuring information security

through continuous improvement, realize the integrated optimization of enterprise design, process, manufacturing, management, monitoring, logistics and other links, adopt networking technology and big data technology to realize enterprise intelligent management and decision-making, and comprehensively improve the level of enterprise resource allocation optimization, operation automation, real-time optimization, refined production management and scientific intelligent decision-making

third, in applying for the pilot demonstration project of intelligent equipment (products) represented by the deep embedding of information technology, enterprises need to have the following elements and conditions: first, they can realize self perception of their own state and environment, and have the function of fault diagnosis

second, it has network communication function, provides standard and open data interface, and can realize data transmission with manufacturers and users

third, it has adaptive ability, and can adjust its own operation mode according to the perceived information, so that the equipment (product) is in the optimal state

fourth, it can provide operation data or user usage habits data, support manufacturers and users to carry out data analysis and mining, and realize innovative applications

through continuous improvement, the integrated application of high-end chips, new sensors, industrial control computers, intelligent instruments and control systems, industrial software, interconnection technology, information security technology, etc. in equipment (products) can be achieved. The equipment (products) can be safe and controllable, and the functions of self sensing, self diagnosis, self adaptation and self decision-making can be continuously optimized. The technical level has reached the domestic leading or international advanced level

fourth, in applying for pilot demonstration projects of new formats and new models of intelligent manufacturing represented by personalized customization, network collaborative development and e-commerce, enterprises need to have the following elements: first, personalized customization. The product adopts modular design, which can be combined to form personalized products through differentiated customized parameters. Establish an open personalized customization platform based on network, and realize deep interaction with users. The customization elements are guiding and effective. Using big data technology to analyze and mine users' fragmented and personalized demand data, and establish a personalized product database can quickly generate product customization solutions. The design, production, supply chain management and service system of the enterprise match the personalized customization needs

through continuous improvement, the modular design method, personalized customization platform and product database are continuously optimized, and a perfect enterprise design, production, supply chain management and service system based on personalized customization needs is formed. The interaction ability between users and manufacturers is significantly improved. The tire is rotated inside the drum, and the enterprise's ability to apply big data to product planning and market detection is greatly enhanced

second, collaborative development/cloud manufacturing. Establish a collaborative development/cloud manufacturing platform to realize the sharing of resources and information among enterprises in different links of the industrial chain. Focusing on key products, concurrent engineering is adopted to realize the effective coordination and collaboration of design, R & D, testing, human resources and other resources in different places. According to the manufacturing demand and socialized manufacturing resources, carry out dynamic analysis to realize the flexibility of manufacturing resources within the enterprise. 7 Change the configuration of the electric box on the base of the experimental machine to realize networked collaborative manufacturing among enterprises

through continuous improvement, realize the efficient overall planning and remote sharing of information and resources, build a network platform with highly optimized manufacturing needs and manufacturing resources, realize cross-border and cross regional collaboration in the implementation of R & D, production, testing and other links, and realize agile response and dynamic reorganization of the enterprise's production organization and management framework

third, e-commerce. Establish an e-commerce platform and realize the integration with enterprise resource planning management system (ERP), customer management system (CRM) and supplier management system (SRM). The proportion of sales revenue realized through e-commerce in the main business income of the enterprise shall not be less than 20%. Adopt big data, cloud computing and other technologies to analyze sales data and consumption behavior data, so as to realize intelligent optimization of operation, management and decision-making. Establish a product information traceability system to collect and track quality related information in raw materials, processing, circulation and other links of products. The third-party e-commerce platform in the industry should be based on customer service

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