The Ministry announced intelligent manufacturing pilot demonstration project reporting conditions

Source：Updated：2015-05-11 15:34:08

In April 1st, the general office of the Ministry issued the "notice on 2015 to carry out intelligent manufacturing pilot demonstration projects recommended" (hereinafter referred to as the "notice"), the provisions of the basic conditions, the recommended intelligent manufacturing pilot demonstration projects recommended procedures, reporting requirements etc..
"Implementation plan and schedule tasks in key requirements according to the" Intelligent Manufacturing Pilot special action, in order to do the pilot demonstration project selection, the specially formulated elements.
MIIT issued the "notice on 2015 to carry out intelligent manufacturing pilot demonstration projects recommended"
One, to the digital factory / smart factory for the direction of the manufacturing process of pilot demonstration project
1, the overall design, engineering design, technological process and factory layout have established a relatively perfect system model, and simulation, design related data into the enterprise core database.
2, the configuration of the data acquisition system which meet the design requirements and the advanced control system. The production process data automatically data acquisition rate of more than 90%, with more than 90% factory automation investment rate, the key production processes to achieve advanced control and online optimization model based on.
3, the establishment of real-time data platform, and integrated with process control, production management system to achieve interoperability, factory production sharing and optimal management of Internet based information industry.
4, establish the manufacturing execution system (MES), and management and enterprise resource planning system (ERP) integration, production planning, scheduling models were established, the analysis model of production decision making, the process of quantitative management, dynamic tracking cost and quality.
5, the establishment of enterprise resource planning management system (ERP), in the supply chain management is realized in the raw materials and finished goods distribution management and optimization. The use of cloud computing, big data and other new generation of information technology, in the premise of information security, intelligent optimization, business management and decision making.
Through continuous improvement, to achieve operation of dynamic process optimization, manufacturing and management information sharing, full transparent, with big data, cloud computing enterprise intelligent management and decision making, enhance the enterprise resource allocation optimization, automatic operation, real-time optimization, fine production management and intelligent decision-making scientific level.
Two, the digital smart factory / workshop for the direction of the discrete manufacturing pilot demonstration project
1, workshop, factory / overall design process and layout have set up the digital model, and simulation, digital management planning, production, operation of the whole process, the relevant data into the enterprise core database.
2, using three-dimensional computer aided design (CAD), computer aided process planning (CAPP), advanced technology design and process simulation, reliability evaluation. The product information in design, manufacturing, quality, logistics and other sectors, realize the full life cycle management (PLM).
3, the establishment of production process data acquisition and analysis system, can fully capture the manufacture schedule, on-site operation, quality inspection, production equipment status information, and manufacturing execution system to realize data integration and analysis and workshop.
4, the establishment of manufacturing execution system (MES), implementation plan, production scheduling, production, inspection of the whole process of the closed-loop management, and management and enterprise resource planning system (ERP) integrated.
5, the establishment of industrial communication network between the system, the workshop, equipment, spare parts and personnel to achieve information interoperability and integration.
6, the establishment of enterprise resource planning management system (ERP), and put into operation, the supply chain management module can realize the management and optimization of procurement, outsourcing, logistics. The use of cloud computing, big data and other new generation of information technology, in the premise of information security, intelligent optimization, business management and decision making.
Through continuous improvement, to achieve integrated optimization design, technology, manufacturing enterprises, management, monitoring, logistics and other aspects of the implementation of the enterprise, intelligent management and decision by network technology, big data technology, comprehensively enhance the enterprise resource allocation optimization, automatic operation, real-time on line optimization, fine production management and intelligent decision-making scientific level.
Three, intelligent equipment with information technology as the representative of the embedded depth (product) pilot demonstration project
1, can realize the self perception of their own state, the environment, has the function of fault diagnosis.
2, has the function of network communication, data interface standard and open, can be achieved between the manufacturer, the user data transfer.
3, has the adaptive ability, according to the adjustment of the operating mode of their own perception of information, so that the equipment (products) in the optimal state.
4, to provide operational data or user usage data, supporting manufacturers, user data analysis and mining, to achieve innovative application.
Through continuous improvement, to achieve high-end chip, the new sensor, industrial control computer, intelligent instrument and control system, industrial software, Internet technology, information security technology in equipment (products) integrated application, equipment (products) to achieve safe and controllable, self perception, self diagnosis, self adaptive, continuous optimization of the decision function, the technical level reached the leading domestic or international advanced level.
In four, intelligent personalization, network collaborative development, electronic commerce as the representative of the manufacture of the new model of the new format of pilot demonstration projects
1, customization
(1) products using modular design, custom parameters through differentiation, combination of personalized products.
(2) the establishment of open customization platform based on network, and realize the depth of interaction with the user, with custom elements and effective guide.
(3) the use of big data technology to the fragmentation of the user's personalized demand, data analysis and mining, the establishment of the database can be customized personalized products, product scheme generation fast.
(4) the design, production, supply chain management, service system and personalized demand matching.
Through continuous improvement, constantly optimize the implementation method of modular design, customization platform, product database, form customization enterprise design, production, supply chain management and service system based on the improvement of the manufacturers and the user interaction, significantly improve the capacity of the market, product planning, greatly enhance the detection ability of enterprise applications for large data.
2, collaborative development / cloud manufacturing
(1) establish a collaborative development / cloud manufacturing platform, resources, information sharing between different industry chain enterprises.
(2) around the key products, the use of concurrent engineering and collaborative, effective co-ordination of remote design, development, testing, and other human resources.
(3) for manufacturing demand and socialization of manufacturing resources, to carry out dynamic analysis, flexible configuration of manufacturing resources in the enterprise, realize the network collaborative manufacturing among enterprises.
Through continuous improvement, to achieve efficient co-ordination, information resource sharing and off-site construction, manufacturing and manufacturing resource demand highly optimized network platform, realize the enterprise in R & D, production, testing and other aspects of the implementation of the process of cross-border, cross regional collaboration, enterprise production organization management structure to realize agile response and dynamic reorganization.
3, e-commerce
(1) the establishment of e-commerce platform, and realize the management and enterprise resource planning system (ERP), customer management system (CRM) and supplier management system (SRM) integration. The main business income of enterprises, the proportion of e-commerce to achieve sales revenue of not less than 20%.
(2) with big data, cloud computing technology, sales data, consumer behavior data analysis, intelligent optimization, business management and decision making.
(3) the establishment of product traceability system, realize the acquisition and tracking of information related to product quality raw materials, processing, distribution and other aspects.
(4) third party e-commerce platform, in customer service, data management, financial services, security, logistics management, supply chain coordination and so on, to provide professional services for the development of the industry, with industry manufacturing enterprises and downstream users seamless docking.
Through continuous improvement, the depth of integration and interaction to achieve e-commerce and enterprise management, management, decision-making, the formation of specialized services rich, drive the whole industry chain value chain to enhance the service chain.
Five, the logistics management, energy management and intelligent direction for the intelligent management of pilot demonstration project
1, logistics management
(1) the establishment of logistics information system, logistics facilities and equipment configuration, flexible automation and networking.
(2) using electronic documents, radio frequency identification (RFID) networking technology, with positioning, tracking and control of the flow of goods and other functions.
(3) the information flow chain, a variety of modes of transport, linkage, full transparency, traceability management visualization. Provide safety, convenience, environmental control and other customized value-added services.
Through continuous improvement, the establishment of intelligent logistics management system and logistics information flow chain, effective supervision and the allocation of resources to achieve the use of logistics resources, logistics and logistics work target optimization coordination and cooperation.
2, energy management
(1) establish a comprehensive monitoring system of energy consumption, to achieve real-time visualization management of the main focus on energy consuming equipment.
(2) to establish the model of production and energy consumption forecast, through the intelligent scheduling and system optimization, coordination to achieve the whole process of production and consumption.
(3) the establishment of energy-saving optimization model of energy supply, allocation, conversion, use and other key aspects of enterprise energy efficiency industry leader.
Through continuous improvement, constantly optimize the energy level of key link, build the intelligent energy management system, realize the whole process of energy monitoring, prediction, optimization of production and consumption of energy.
Six, remote diagnosis and online monitoring, cloud services as the representative of the intelligent service pilot demonstration project
(1) establish a cloud service platform, multi channel parallel access ability of equipment (products) operation data and user usage data acquisition, analysis and modeling.
(2) to the cloud service platform and application software for innovation carrier, to provide online monitoring, remote upgrade, fault forecast and diagnosis, health evaluation and other value-added services for users.
(3) the application of big data analysis, mobile Internet technology, automatic report generation operation and application status of the product, and pushed to the client.
Through continuous improvement, the establishment of intelligent service system is efficient and safe, to provide services to form a real-time, effective interaction with the product, the level of integrated application of mobile Internet technology, big data technology greatly increased.