With the rapid development of information technology, Industry 4.0 has entered a new stage of digitalization, networking, and intelligence in industrial production. It emphasizes the use of the Internet, the Internet of Things, big data and other advanced technologies to achieve a high degree of connectivity between equipment, systems and personnel, and to achieve intelligent and flexible production processes.

Intelligent manufacturing is one of the core contents of Industry 4.0, which utilizes advanced information technology and intelligent equipment to improve the production efficiency, quality, and flexibility of the manufacturing industry. By real-time monitoring and controlling key parameters in the production process, intelligent manufacturing can achieve goals such as rapid response to market demand, personalized customization, and flexible production.

Promoting intelligent manufacturing can effectively shorten the product development cycle, improve production efficiency and product quality, reduce operating costs and resource and energy consumption, accelerate the development of intelligent manufacturing, and is of great significance for improving the adaptability and flexibility of the manufacturing supply structure and cultivating new drivers of economic growth.

The manufacturing industry is shifting from traditional models to digitalization, networking, and intelligence, from extensive to quality and efficiency oriented, from high pollution and high energy consumption to green manufacturing, and from production-oriented to "production+service" oriented. In this transformation process, intelligent manufacturing is an important means.

The machines and people in the factory are connected to the network, and dialogue is achieved between machines and between people. A factory that can achieve this manufacturing method is called an intelligent factory. With the popularization of the national 2025 intelligent manufacturing plan and artificial intelligence teaching, major vocational colleges are placing more emphasis on the teaching construction of corresponding majors. Our current task is to enable students to understand and experience the various module components of intelligent production unmanned factories in school and in the classroom.

Composition of intelligent manufacturing production line:

Composed of an industrial 6-axis degree of freedom robot, a three coordinate robotic arm, a flexible CNC lathe, a flexible CNC milling machine, RFID system, PLC workstation, intelligent warehouse, central control panel, conveyor belt, etc., it realizes automated loading and unloading, processing and other unmanned work processes. The robot feeds and retrieves materials to two machines according to instructions; This system can achieve programming of industrial robot loading and unloading workstation system, integration of loading and unloading system, RFID system application, PLC system programming, CNC lathe programming and processing, CNC milling machine programming and processing, communication training of fieldbus, and other links. Enable students to easily master the flexible machining production system composed of industrial 6-axis robot loading and unloading and CNC machine tools, which can meet their needs for learning and operating industrial robots. Through the learning and training of this system, students have a comprehensive understanding and experience of the overall application of intelligent production unmanned factories.

Intelligent and digital transformation will significantly improve the production efficiency of the manufacturing industry. Through intelligent and green upgrades, enterprises can reduce energy consumption and environmental pollution, improve resource utilization efficiency, and achieve sustainable development.

With the continuous deepening of intelligence and digital transformation, the manufacturing industry will need to constantly explore and apply new technologies and processes. This will not only promote technological innovation and development in the manufacturing industry, but also drive the development and upgrading of related industries.