1、 Factors and conditions of intelligent manufacturing mode
（1） Discrete intelligent manufacturing
1. The overall design, process flow and layout of the workshop / factory have been modeled and simulated to realize the digital management of the whole process of planning, production and operation.
2. The digital three-dimensional design and process technology are applied to design and simulate the product and process, and verified and optimized by physical detection and test.
Product data management system (PDM) is established to realize the integrated management of product design and process data.
3. The CNC rate of manufacturing equipment is more than 70%, and the information interconnection and integration between high-end CNC machine tools and industrial robots, intelligent sensing and control equipment, intelligent detection and assembly equipment, intelligent logistics and warehousing equipment and other key technical equipment are realized.
4. Establish the production process data acquisition and analysis system, realize the production progress, field operation, quality inspection, equipment status, material transmission and other production site data automatic upload, and realize the visual management.
5. The MES is established to realize the management functions of planning, scheduling, quality, equipment, production and energy efficiency.
Establish enterprise resource planning system (ERP) to realize supply chain, logistics, cost and other business management functions.
6. Establish the internal communication network architecture of the factory, and realize the information interconnection between the design, process, manufacturing, inspection, logistics and other manufacturing processes, as well as the manufacturing process and manufacturing execution system (MES) and enterprise resource planning system (ERP).
7. It has established the industrial information security management system and technical protection system, and has the ability of network protection, emergency response and other information security guarantee.A functional safety protection system is built, and the whole life cycle method is adopted to effectively avoid system failure.
Through continuous improvement, we can realize the dynamic optimization of the whole life cycle of products in the links of enterprise design, process, manufacturing, management and logistics, and promote the rapid improvement of enterprise digital design, equipment intelligent upgrading, process optimization, lean production, visual management, quality control and tracking, intelligent logistics, etc.
（2） Process based intelligent manufacturing
1. The overall design, process and layout of the plant have been modeled and simulated to realize the visualization of production process data and optimization of production process.
2. Realize the whole process monitoring of logistics, energy flow, physical property and assets, establish the data acquisition and monitoring system, and the automatic data acquisition rate of production process data reaches more than 90%.
Realize the data collection and integrated utilization of raw materials, key processes and finished products, and establish real-time quality early warning.
3. With the advanced control system, the automatic control rate of the factory reaches more than 90%, and the model-based advanced control and on-line optimization of key production links are realized.
4. From the production planning and scheduling to the production planning, production optimization, production scheduling, dynamic model building.
The enterprise resource planning system (ERP) is established to realize the intelligent optimization of enterprise operation, management and decision-making.
5. For the projects with high safety and environmental risks, realize the automatic detection and monitoring of toxic and harmful substances discharge and hazard sources, and all-round monitoring of safety production, and establish online emergency command linkage system.
6. The communication network structure of the factory is established to realize the information interconnection among the manufacturing processes such as process, production, inspection and logistics, as well as among the manufacturing process, data acquisition and monitoring system, production execution system (MES) and enterprise resource planning system (ERP).
7. It has established the industrial information security management system and technical protection system, and has the ability of network protection, emergency response and other information security guarantee.A functional safety protection system is built, and the whole life cycle method is adopted to effectively avoid system failure.
Through continuous improvement, dynamic optimization of production process and full visualization of manufacturing and management information are realized, and the intelligent level of enterprises in resource allocation, process optimization, process control, industrial chain management, energy conservation and emission reduction and safety production is significantly improved.
（3） Network collaborative manufacturing
1. The cloud platform of networked manufacturing resource collaboration has been built with perfect architecture and corresponding operation rules.
2. Through the collaborative cloud platform, the social / enterprise / department manufacturing resources are displayed to realize the effective docking of manufacturing resources and demand.
3. Through the collaborative cloud platform, the sharing, complementation and docking of demand-oriented innovation resources and design capabilities among enterprises / departments can be realized.
4. Through the collaborative cloud platform, the reasonable allocation of production resources between enterprises / departments for order, and the parallel organization of production in each link of manufacturing process and supply chain are realized.
5. Build a product traceability system around the whole production chain collaboration and sharing, and realize the information traceability service between enterprises covering product manufacturing and operation and maintenance services.
6. It has established the industrial information security management system and technical protection system, and has the ability of network protection, emergency response and other information security guarantee.
Through continuous improvement, the collaborative cloud platform of networked manufacturing resources is continuously optimized, the innovation resources, production capacity and service capacity among enterprises and departments are highly integrated, the manufacturing and service operation and maintenance information is highly shared, and the dynamic analysis and flexible configuration level of resources and services are significantly enhanced.
（4） Mass customization
1. Modular design is adopted in the product, and personalized product is formed by different customized parameters.
2. It has an Internet-based personalized customization service platform, which can realize deep interaction with users and quickly generate product customization solutions through customization parameter selection, 3D digital modeling, virtual reality or augmented reality.
3. Build a personalized product database, and use big data technology to mine and analyze the characteristics of users’ personalized needs.
4. Personalized customization platform and enterprise R & D design, planning and scheduling, flexible manufacturing, marketing management, supply chain management, logistics distribution and after-sales service and other digital manufacturing systems to achieve collaboration and integration.
Through continuous improvement, continuous optimization of modular design method, personalized customization platform and personalized product database is realized, and a perfect data-driven enterprise R & D, design, production, marketing, supply chain management and service system is formed. The ability of fast and low-cost to meet users’ personalized needs is significantly improved.
（5） Remote operation and maintenance service
1. Intelligent equipment / products adopting remote operation and maintenance service mode shall be equipped with open data interface, with data acquisition, communication, remote control and other functions.
The industrial Internet supporting IPv4, IPv6 and other technologies is used to collect and upload data of equipment status, operation and environment, and flexibly adjust equipment operation parameters according to remote instructions.
2. The establishment of intelligent equipment / product remote operation and maintenance service platform can effectively screen, sort, store and manage the uploaded data of equipment / product.
And through data mining, analysis, to provide users with daily operation and maintenance, online detection, predictive maintenance, fault warning, diagnosis and repair, operation optimization, remote upgrade and other services.
3. The intelligent equipment / product remote operation and maintenance service platform shall share information with the product lifecycle management system (PLM), customer relationship management system (CRM) and product R & D management system of the equipment manufacturer.
4. The intelligent equipment / product remote operation and maintenance service platform should establish corresponding expert database and expert consultation system, which can provide intelligent decision support for the remote diagnosis of intelligent equipment / product, and put forward operation and maintenance solutions to users.
5. Establish information security management system and have the ability of information security protection.
Through continuous improvement, an efficient and safe intelligent service system can be established. The services provided can form real-time and effective interaction with products, and greatly improve the integrated application level of embedded system, mobile Internet, big data analysis and intelligent decision support system.
2、 Factors and conditions of new technology innovation application
（1） Industrial Internet
1. Establish industrial Internet factory intranet, use industrial Ethernet, industrial PON, industrial wireless, IPv6 and other technologies to realize the interconnection of production equipment, sensors, control system and management system.
Realize data collection, flow and processing; use IPv6, industrial Internet of things and other technologies to achieve interconnection with the factory’s internal and external network, support internal and external network business collaboration.
2. All kinds of identification technology are used to automatically identify parts, work in progress, processes, products and other objects, realize automatic information collection and processing in the process of storage and production, and realize the whole life cycle management of products through docking with the national industrial Internet identification analysis system.
3. Realize the horizontal interconnection between factory management software, realize data flow, conversion and mutual recognition.
4. Build industrial Internet platform inside the factory, or use the industrial Internet platform on the public network to realize data integration, analysis and mining, and support intelligent production, personalized customization, network collaboration, service extension and other applications.
5. Through the deployment and application of industrial firewall, security monitoring audit, intrusion detection and other security technical measures, the prevention, monitoring and response of industrial Internet security risks are realized, and the safe operation of industrial system is guaranteed.
（2） Artificial intelligence
1. The key manufacturing equipment adopts artificial intelligence technology, and realizes self perception, self-learning, self adaptation and self-control of manufacturing equipment by embedding computer audio-visual perception, biometric recognition, complex environment recognition, intelligent voice processing, natural language understanding, intelligent decision control and new human-computer interaction technology.
2. Combined with the characteristics of the industry, based on big data analysis technology, the application of machine learning, knowledge discovery and knowledge engineering, cross media intelligence and other methods, has the characteristics of artificial intelligence in the key links of product quality improvement and defect detection, production process optimization, equipment health management, fault prediction and diagnosis.
3. The target product adopts intelligent perception, pattern recognition, intelligent semantic understanding, intelligent analysis and decision-making and other core technologies, which can significantly improve the performance and intelligent level of complex environment perception, intelligent human-computer interaction, flexible and accurate control, group real-time cooperation and other aspects.
4. Artificial intelligence technology has been applied in the whole life cycle of products, such as product development and manufacturing process. It can optimize the manufacturing process, and the technical scheme and application mode can be replicated and popularized.