Intelligent Manufacturing Pilot Demonstration Element Conditions_Intelligent Manufacturing Cooperation Pilot Demonstration Project

Intelligent manufacturing pilot demonstration element conditions

According to the requirements of "Intelligent Manufacturing Development Plan (2016-2020)" "Intelligent Manufacturing Engineering Implementation Guide (2016-2020)", the focus is on five intelligent manufacturing modes, encouraging new technologies to be applied and innovative, and carrying out smart manufacturing pilot demonstrations. In order to do a good job in project selection, this element is specially formulated.

I. Intelligent manufacturing mode element conditions

(1) Discrete intelligent manufacturing

1. The overall design, process flow and layout of the workshop/factory have established digital models and simulated simulation to realize digital management of planning, production and operation.

2. Apply digital 3D design and process technology to product and process design and simulation, and verify and optimize through physical testing and testing. Establish a product data management system (PDM) to achieve integrated management of product design and process data.

3. The numerical control rate of manufacturing equipment exceeds 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 are realized. .

4. Establish a data acquisition and analysis system for the production process, and automatically upload the production site data such as production schedule, on-site operation, quality inspection, equipment status, material transfer, and realize visual management.

5. Establish a workshop manufacturing execution system (MES) to realize management functions such as planning, scheduling, quality, equipment, production, and energy efficiency. Establish an enterprise resource planning system (ERP) to realize business management functions such as supply chain, logistics, and cost.

6. Establish the internal communication network architecture of the factory to realize the information interconnection between the manufacturing process, the manufacturing process, the manufacturing, the inspection, the logistics and other manufacturing processes, and the manufacturing process and the manufacturing execution system (MES) and the enterprise resource planning system (ERP).

7. It has an industrial information security management system and technical protection system, and has the ability of information security such as network protection and emergency response. A functional safety protection system is built, which uses a full life cycle method to effectively avoid system failure.

Through continuous improvement, the company realizes the closed-loop dynamic optimization of product life cycle in the aspects of enterprise design, process, manufacturing, management and logistics, and promotes digital design, intelligent upgrade of equipment, process optimization, lean production, visual management, quality control and traceability. Rapid improvement in smart logistics and other aspects.

(2) Process-based intelligent manufacturing

1. The overall design, process flow and layout of the factory have established digital models and simulated simulation to realize production process data visualization and production process optimization.

2. Realize the whole process monitoring of logistics, energy flow, physical property and assets, establish a data acquisition and monitoring system, and the automatic data recovery rate of production process data reaches over 90%.

3, using advanced control system, the factory self-control investment rate reached more than 90%, the key production links to achieve advanced model-based control and online optimization.

4. Establish production execution system (MES), establish models for production planning and scheduling, realize production model analysis and decision making, process quantitative management, cost and quality dynamic tracking, and integrated collaborative optimization from raw materials to finished products. Establish an Enterprise Resource Planning (ERP) system to achieve intelligent optimization of business operations, management, and decision making.

5. For projects with high safety and environmental risks, realize automatic detection and monitoring of toxic and hazardous substances and dangerous sources, and comprehensive monitoring of safety production, and establish an online emergency command linkage system.

6. Establish a factory communication network architecture to achieve process, production, inspection, logistics and other manufacturing processes, and between manufacturing processes and data acquisition and monitoring systems, production execution systems (MES), and enterprise resource planning systems (ERP). Information interconnection.

7. It has an industrial information security management system and technical protection system, and has the ability of information security such as network protection and emergency response. A functional safety protection system is built, which uses a full life cycle method to effectively avoid system failure.

Through continuous improvement, the production process is dynamically optimized, and the entire process of manufacturing and management information is visualized. The intelligent level of resources in resource allocation, process optimization, process control, industrial chain management, energy saving and emission reduction and safety production is significantly improved.

Intelligent Manufacturing Pilot Demonstration Element Conditions_Intelligent Manufacturing Cooperation Pilot Demonstration Project

(3) Network collaborative manufacturing

1. Built a networked manufacturing resource collaborative cloud platform with a complete system architecture and corresponding operational rules.

2. Through the collaborative cloud platform, show the social/enterprise/department manufacturing resources and realize the effective docking of manufacturing resources and needs.

3. Through the collaborative cloud platform, the demand-oriented inter-enterprise/departmental innovation resources, design capabilities sharing, complementarity and docking can be realized.

4. Through the collaborative cloud platform, the order-oriented inter-enterprise/departmental production resources are rationally allocated, and the parallel production of the manufacturing process and the supply chain.

5. Established a product traceability system that is collaboratively shared around the entire production chain to realize information traceability services covering the manufacturing, operation and maintenance services of the products.

6. It has an industrial information security management system and a technical protection system, and has the capability of information security for network protection and emergency response.

Through continuous improvement, the networked manufacturing resources and cloud platform are 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 realized. Significantly enhanced.

(4) Large-scale personalized customization

1. The product adopts modular design and combines to form personalized products through differentiated customized parameters.

2. Built an Internet-based personalized customization service platform to achieve deep interaction with users through custom parameter selection, 3D digital modeling, virtual reality or augmented reality, and quickly generate product customization solutions.

3. Built a personalized product database, applying big data technology to mine and analyze the user's personalized demand characteristics.

4. Personalized customization platform and digital manufacturing system such as enterprise R&D design, planned scheduling, flexible manufacturing, marketing management, supply chain management, logistics distribution and after-sales service realize synergy and integration.

Through continuous improvement, the modular design method, personalized customization platform, and personalized product database are continuously optimized to form a complete data-driven enterprise R&D, design, production, marketing, supply chain management and service system, which is fast and low-cost. The ability to meet the individual needs of users has increased significantly.

(5) Remote operation and maintenance service

1. The intelligent equipment/product adopting the remote operation and maintenance service mode should be equipped with an open data interface, with functions such as data acquisition, communication and remote control. It can collect and upload equipment status and operation operations by using the industrial Internet supporting IPv4 and IPv6 technologies. Data such as environmental conditions, and flexible adjustment of equipment operating parameters according to remote commands.

2. Establish intelligent equipment/product remote operation and maintenance service platform, which can effectively filter, sort, store and manage equipment/product upload data, and provide daily operation and maintenance, online detection and predictive maintenance to users through data mining and analysis. , fault warning, diagnosis and repair, operation optimization, remote upgrade and other services.

3. The intelligent equipment/product remote operation and maintenance service platform should share information with the equipment manufacturer's product lifecycle management system (PLM), customer relationship management system (CRM), and product development management system.

4. 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 remote diagnosis of intelligent equipment/products, and propose operation and maintenance solutions to users.

5. Establish an information security management system with information security protection capabilities. Through continuous improvement, an efficient and secure intelligent service system is established, and the services provided can form real-time and effective interaction with products, and greatly improve the integrated application level of embedded systems, mobile Internet, big data analysis, and intelligent decision support systems.

Intelligent Manufacturing Pilot Demonstration Element Conditions_Intelligent Manufacturing Cooperation Pilot Demonstration Project

Second, the conditions of new technology innovation application factors

(1) Industrial Internet

1. Establish an industrial Internet factory intranet, using industrial Ethernet, industrial PON, industrial wireless, IPv6 and other technologies to realize the interconnection of production equipment, sensors, control systems and management systems, to achieve data collection, circulation and processing; using IPv6 Technology such as industrial Internet of Things, realize interconnection and interoperability with internal and external networks of factories, and support internal and external network services.

2. Using various marking technologies to automatically identify parts, work-in-progress, processes, products and other objects, realize automatic information collection and processing in the process of warehousing and production, and connect with the national industrial Internet identification analysis system to realize the whole life cycle of products. management.

3. Realize horizontal interconnection between factory management software to realize data flow, conversion and mutual recognition.

4. Construct an industrial Internet platform within the factory, or use the industrial Internet platform on the public network to realize data integration, analysis and mining, and support applications such as intelligent production, personalized customization, networked collaboration, and service extension.

5. Through the deployment and application of industrial firewalls, security monitoring audits, intrusion detection and other security technical measures to achieve prevention, monitoring and response to industrial Internet security risks, to ensure the safe operation of industrial systems.

Through continuous improvement, the company will promote the construction of internal network interconnection, data interaction and security support, promote the construction of external network infrastructure, industrial Internet platform and public industrial Internet identification analysis system, and accelerate new business and new model innovation.

(2) Artificial intelligence

1. The key manufacturing equipment adopts artificial intelligence technology to realize the self-perception of manufacturing equipment by embedding computer visual and auditory, biometric recognition, complex environment recognition, intelligent speech processing, natural language understanding, intelligent decision control and new human-computer interaction technologies. Self-learning, adaptive, self-control.

2. Build an industrial big data platform, collect data of product design, process, manufacturing, logistics, management, sales, service, operation and maintenance through data acquisition system and interconnected network architecture, and effectively collect the collected data. Screening, grooming, storage and management

3. Applying machine learning, expert system, deep learning and other artificial intelligence new technologies to analyze and mine data, and realize intelligent decision support for R&D, manufacturing, operation management, logistics sales, operation and maintenance services. 4. The target product integrates artificial intelligence technologies such as intelligent sensing, pattern recognition, intelligent analysis, and intelligent control to achieve significant improvements in performance and intelligence levels in sensing, interaction, control, collaboration, and decision making.

Intelligent Manufacturing Pilot Demonstration Element Conditions_Intelligent Manufacturing Cooperation Pilot Demonstration Project

Intelligent Manufacturing Cooperation Pilot Demonstration Project

2017 Sino-German Smart Manufacturing Pilot Demonstration Project List

Intelligent Manufacturing Pilot Demonstration Element Conditions_Intelligent Manufacturing Cooperation Pilot Demonstration Project

Intelligent Manufacturing Pilot Demonstration Element Conditions_Intelligent Manufacturing Cooperation Pilot Demonstration Project

Intelligent Manufacturing Pilot Demonstration Element Conditions_Intelligent Manufacturing Cooperation Pilot Demonstration Project

Intelligent Manufacturing Pilot Demonstration Element Conditions_Intelligent Manufacturing Cooperation Pilot Demonstration Project

Plug-in Terminal Block

Plug-in Terminal Block

It is made of two parts of plug-in connection. One part compresses the wire and then plugs it into the other part, which is welded to PCB. The mechanical principle of the connection bottom and the anti vibration design ensure the long-term airtight connection of the product and the use reliability of the finished product. The two ends of the socket can be equipped with lugs, which can protect the lug to a large extent and prevent the poor arrangement of the lug.

At the same time, this kind of socket design can ensure that the socket can be inserted into the matrix correctly.
The socket can also have assembly and locking positions. The assembly buckle can play a more stable role in fixing to the PCB, and the lock buckle can lock the mother body and the socket after the installation. Various socket designs can be matched with different insertion methods of the parent, such as: horizontal, vertical or inclined to printed circuit board, etc., and different ways can be selected according to the requirements of customers. Either metric wire gauge or standard wire gauge can be selected, which is the most popular terminal type in the market at present.

Plug-in Terminal Block

ShenZhen Antenk Electronics Co,Ltd , https://www.antenkelec.com

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