1. Industrial Internet of Things (IIoT)
By connecting sensors, actuators, controllers and other devices to the Internet, information exchange and communication between devices can be realized, which can improve production efficiency and reduce maintenance costs.
2. Big data analysis
Mining, analyzing and processing mass production data can provide decision support for intelligent manufacturing, find production bottlenecks, optimize production processes and improve product quality.
3. Artificial intelligence
Including machine learning, deep learning, natural language processing and so on. , to help enterprises achieve automatic design, intelligent scheduling, intelligent detection and other functions, improve production efficiency and product quality.
4. Digital twins
Create a virtual model of physical equipment, realize real-time monitoring, simulation and optimization of equipment, and help enterprises realize digital management of design, production, operation and maintenance.
5. Robotics
Including automatic assembly, handling, welding and so on. To realize the automation of production process, improve production efficiency and reduce labor costs.
6. Add manufacturing (3D printing)
It can realize the rapid manufacturing of complex structures, shorten the product development cycle and reduce the production cost, and has a wide application prospect in aerospace, medical equipment, automobile manufacturing and other fields.
7. Virtual reality and augmented reality
Provide immersive interactive experience to help enterprises realize product design, simulation, training and other functions, improve design efficiency, reduce training costs, and improve employee skills.
8. Cloud computing
Provide powerful computing power and data storage capacity, realize the functions of centralized data management, resource sharing and on-demand service, and reduce the investment and operation and maintenance costs of IT infrastructure.
9. Edge calculation
The task of data processing and analysis is migrated from the cloud to the device, which realizes real-time data processing and response, improves the response speed and reliability of intelligent manufacturing system, and reduces the network delay and bandwidth requirements.
10. Blockchain
Used in supply chain management, product traceability, intellectual property protection, etc. To achieve tamper-proof, transparent and traceable data, and improve the security and efficiency of the supply chain.
1 1. Industrial software
Including enterprise resource planning (ERP), manufacturing execution system (MES), product life cycle management (PLM) and so on. To help enterprises realize digital management of production process and improve production efficiency and product quality.
12. industrial safety
Including network security, data security, equipment security, etc. To ensure the stable operation of intelligent manufacturing system and prevent data leakage and equipment damage.
In addition, to declare a leading enterprise in intelligent manufacturing, there are certain requirements in terms of service ability, performance display, development planning and objectives, material format and specifications. At the same time, the reporting unit should have a strong comprehensive integrated service capability and perfect service system, and have a good brand influence and resource integration in the reporting industry, and have formed more than three scenarios that can be replicated, promoted and demonstrated.