I. Pilot demonstration projects of process manufacturing in the direction of digital factory/smart factory
1. Overall design of the factory, engineering design, process flow and layout have been established in a more complete system model, and simulation simulation, and the design of data related to the enterprise into the The data related to the design have been entered into the core database of the enterprise.
2, configured to meet the design requirements of the data acquisition system and advanced control system. The automatic data acquisition rate of production process data is more than 90%, the factory automatic control rate is more than 90%, and the key production links realize advanced control and online optimization based on the model.
3, the establishment of real-time database platform, and process control, production management system to achieve interoperability and integration, plant production to achieve industrial Internet-based information **** enjoyment and optimization of management.
4, the establishment of the manufacturing execution system (MES), and integrated with enterprise resource planning management system (ERP), production planning, scheduling are modeled to achieve production modeling analysis and decision-making, quantitative management of the process, the dynamic tracking of cost and quality.
5, the establishment of enterprise resource planning management system (ERP), in the supply chain management to achieve the management and optimization of raw materials and finished goods distribution. Using cloud computing, big data and other new-generation information technology to achieve intelligent optimization of enterprise operation, management and decision-making under the premise of safeguarding information security.
Through continuous improvement, it realizes dynamic optimization of the operation process, full transparency and **** enjoyment of manufacturing and management information, and adopts big data and cloud computing to realize intelligent management and decision-making of the enterprise, and comprehensively improves the enterprise's optimization of resource allocation, automation of operation, real-time on-line optimization, refinement of production management, and scientific level of intelligent decision-making.
The discrete manufacturing pilot demonstration project in the direction of digital workshop/intelligent factory
1, workshop/factory overall design, process flow and layout have been established digital model, and simulation simulation, planning, production, operation of the whole process of digital management, the relevant data into the enterprise core database.
2. Advanced technologies such as three-dimensional computer-aided design (CAD), computer-aided process planning (CAPP), simulation of design and process routes, and reliability evaluation are adopted. Product information can be used throughout the design, manufacturing, quality, logistics and other links to achieve product lifecycle management (PLM).
3, the establishment of the production process data acquisition and analysis system, can be fully collected manufacturing progress, field operations, quality inspection, equipment status and other production site information, and with the workshop manufacturing execution system to achieve data integration and analysis.
4, the establishment of workshop manufacturing execution system (MES), to achieve planning, scheduling, production, inspection of the whole process of closed-loop management, and integrated with enterprise resource planning management system (ERP).
5, the establishment of workshop-level industrial communication network, systems, equipment, components and personnel to achieve information interoperability and effective integration.
6, the establishment of enterprise resource planning management system (ERP), and put into actual operation, in which the supply chain management module can realize the management and optimization of procurement, outsourcing, logistics. Using cloud computing, big data and other new-generation information technology to achieve intelligent optimization of operation, management and decision-making under the premise of safeguarding information security.
Through continuous improvement, it realizes integrated optimization of enterprise design, process, manufacturing, management, monitoring and logistics, adopts network technology and big data technology to realize intelligent management and decision-making, and comprehensively improves the enterprise's level of optimization of resource allocation, automation of operation, real-time on-line optimization, refinement of production management, and scientific level of intelligent decision-making.
Three, with information technology y embedded as the representative of the pilot demonstration project of intelligent equipment (products)
1, can realize the state of their own, the environment of self-awareness, with fault diagnosis function.
2. It has network communication function, provides standard and open data interface, and can realize data transmission with manufacturers and users.
3, with self-adaptive ability, according to the perceived information to adjust its own mode of operation, so that the equipment (products) in the optimal state.
4, can provide operation data or user habit data, support manufacturers, users for data analysis and mining, realize innovative applications.
Through continuous improvement, it realizes the integrated application of high-end chips, new sensors, industrial control computers, intelligent instrumentation and control systems, industrial software, Internet technology, information security technology, etc. in the equipment (products), and the equipment (products) can be safe and controllable, and the functions of self-perception, self-diagnosis, self-adaptation and self-decision-making are constantly optimized, and the technical level reaches the domestic leading or international advanced level. Level.
Four, personalized customization, network co-development, e-commerce as the representative of the new mode of intelligent manufacturing pilot demonstration projects
1, personalized customization
(1) the product adopts a modular design, can be differentiated through the customization parameters, the combination of personalized products.
(2) The establishment of an open network-based personalized customization platform, and the realization of in-depth interaction with the user, customization elements with guidance and effectiveness.
(3) The use of big data technology to analyze and mine users' fragmented and personalized demand data, and the establishment of a personalized product database, which can quickly generate product customization solutions.
(4) The enterprise's design, production, supply chain management, and service system matches the demand for personalized customization.
Through continuous improvement, the modular design method, personalized customization platform, and product database are continuously optimized to form a perfect enterprise design, production, supply chain management and service system based on personalized customization demand, the interaction between users and manufacturers is significantly improved, and the enterprise's ability to apply big data to product planning and market detection is greatly enhanced.
2. Collaborative Development/Cloud Manufacturing
(1) Establishing a collaborative development/cloud manufacturing platform, realizing the resources and information ****sharing among enterprises in different links of the industrial chain.
(2) Focusing on key products, adopting parallel engineering, realizing effective coordination and synergy of design, R&D, testing, manpower and other resources in different places.
(3) For manufacturing demand and socialized manufacturing resources, carry out dynamic analysis to achieve flexible allocation of manufacturing resources within the enterprise and networked collaborative manufacturing between enterprises.
Through continuous improvement, we achieve efficient integration and off-site **** enjoyment of information and resources, build a highly optimized network platform for manufacturing demand and manufacturing resources, realize cross-border and cross-regional collaboration during the implementation of R&D, production, testing and other aspects of the enterprise, and realize agile response and dynamic restructuring of the enterprise's production organization and management structure.
3, e-commerce
(1) the establishment of 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 enterprise's main business revenue is not less than 20%.
(2) Adoption of big data, cloud computing and other technologies to analyze sales data and consumer behavior data to achieve intelligent optimization of operation, management and decision-making.
(3) Establishing a product information traceability system to realize the collection and tracking of quality-related information in raw materials, processing and circulation of products.
(4) The industry's third-party e-commerce platform should provide specialized services for the development of the industry in terms of customer service, data management, financial services, safety and security, logistics management, supply chain synergy, etc., and realize seamless docking with the manufacturing enterprises in the industry and downstream end-users.
Through continuous improvement, it realizes the in-depth integration and interaction between e-commerce and enterprise operation, management, and decision-making, and forms a rich professional service business, so as to drive the enhancement of the whole industrial value chain by the service chain.
V. Intelligent Management Pilot Demonstration Projects in the Direction of Logistics Management and Energy Management Intelligence
1. Logistics Management
(1) Establishing logistics informatization system, and configuring automated, flexible and networked logistics facilities and equipment.
(2) Adoption of electronic documents, radio frequency identification (RFID) and other Internet of Things technologies, with the positioning, tracking and control of the flow of goods and other functions.
(3) Realize smooth information chain, efficient linkage of multiple modes of transportation, transparent visualization and traceable management throughout. It can provide customized value-added services such as security, speed and environmental controllability.
Through continuous improvement, the establishment of intelligent logistics management system and smooth logistics information chain, effective supervision and allocation of resources, to achieve optimal coordination and cooperation of resources used in logistics, the effect of logistics work and logistics objectives.
2, energy management
(1) the establishment of a comprehensive energy monitoring system, capable of realizing real-time visual management of major energy consumption and key energy-consuming equipment.
(2) Establishment of production and energy consumption prediction model, through intelligent scheduling and system optimization, to achieve the synergy of the whole process of production and energy consumption.
(3) Establishing energy-saving optimization models for key aspects such as energy supply, deployment, conversion and use, with industry-leading corporate energy utilization efficiency.
Through continuous improvement, continuously optimize the energy-saving level of key links, build an intelligent energy management system, and realize the whole process of energy monitoring, forecasting, and energy-saving optimization of production and consumption.
VI. Pilot Demonstration Projects of Intelligent Services Represented by Online Monitoring, Remote Diagnosis and Cloud Services
(1) Establishment of a cloud service platform with multi-channel parallel access capability, collection of equipment (product) operation data and user habit data, and modeling and analysis.
(2) Take the cloud service platform and software application as the innovation carrier, and provide users with value-added services such as online monitoring, remote upgrading, fault prediction and diagnosis, and health status evaluation.
(3) Apply big data analysis, mobile Internet and other technologies to automatically generate product operation and application status reports and push them to the user.
Through continuous improvement, an efficient and safe intelligent service system is established to provide services that can form real-time and effective interactions with the products, and the level of integration and application of mobile Internet technology and big data technology is substantially improved.