2024 International Forum on Intelligent Manufacturing (Shanghai): Artificial Intelligence Driving the Upgrade of Manufacturing Industry Intelligence

Recently, the 2024 International Intelligent Manufacturing (Shanghai) Forum was held in Shanghai. The forum, with the theme of "Promoting Intelligent Manufacturing and Drawing a Grand Blueprint for New Industrialization", was attended by experts in the field of intelligent manufacturing, relevant leaders of manufacturing enterprises, and representatives of intelligent manufacturing solution suppliers to jointly discuss the digital transformation of manufacturing and the new direction of intelligent manufacturing.

Professor Wang Wei from the School of Computer Science and Technology at Fudan University pointed out that industrial big data is the core of industrial personalization, service-oriented, and intelligent transformation. However, it is facing challenges such as semantic gaps and the size of data being too large or too small. Artificial intelligence technology has given new capabilities to industrial big data analysis. The artificial intelligence big model has shown advantages in the field of industrial big data analysis, such as good mechanism analysis stability and high data model fitting. Its reasoning ability, continuous learning and improvement ability will improve operation and maintenance efficiency.

It is reported that in recent years, with the rapid development of artificial intelligence technology, especially significant breakthroughs in AI big models, the integration of artificial intelligence technology and manufacturing industry is accelerating. At present, artificial intelligence technology has many applications in the manufacturing industry, such as for predictive maintenance of equipment, detecting equipment abnormalities and automatically triggering maintenance; Used for knowledge-based intelligent question answering, quickly obtaining satisfactory answers, avoiding repetitive problems, etc., resulting in significant improvements in production efficiency, business efficiency, etc., empowering the manufacturing industry to upgrade towards digitization and intelligence.

"The three-dimensional digital R&D integration platform is the core construction content of the digital R&D design sector and the source of driving downstream digital construction." Liu Kai, Executive Vice General Manager of Wuhan Tianyu Software Co., Ltd., said, "The construction of the digital R&D integration platform is key to promoting the construction of digital factories. The digital R&D integration platform can integrate multiple key technologies such as three-dimensional design, process planning, and digital management, and can achieve full process digital coverage from design to production." Shao Wei, Minister of Management Information Department of Wuxi Turbine Blade Co., Ltd., introduced that the company proposes to build a structured process, connect the entire process from design to manufacturing site, and achieve design manufacturing integration and paperless design and manufacturing. In addition, Dongfang Steam Turbine enhances the integrated application of design, manufacturing, production, and service to improve the overall informatization effect and achieve digital collaborative management based on a single data source and continuous business in various business fields.

Currently, the application trend of data analysis in the manufacturing industry is becoming increasingly significant, becoming a key force in promoting the digital and intelligent transformation of the manufacturing industry. "Data is the foundation of digital transformation, AI is the engine of digital transformation, processes are the link of digital transformation, and strategy is the compass of digital transformation (300803)." Zhang Yongdong, CIO of Garcia Electronics Co., Ltd., pointed out. "The digital transformation of the manufacturing industry covers the entire process and lifecycle, and data-driven needs to run through all aspects of the business to promote the comprehensive transformation and upgrading of enterprises," said Zhao Shuai, senior consultant for Altair data analysis.

Meanwhile, with the rapid development of robotics technology and the continuous expansion of robot applications, diverse mobile robots have been widely used in the production, manufacturing, and logistics warehousing processes of the manufacturing industry. How to achieve mixed scheduling, collaborative operation, and human-machine safety cooperation of multiple types and brands of robots in the same space and environment has become a focus of attention for manufacturing enterprises. Experts attending the meeting believe that by creating a flexible logistics platform for intelligent factories, various types and brands of mobile robots can be uniformly scheduled and managed, and various information systems, peripheral devices, and security equipment can be integrated as needed. The advantages and value of various robots can be fully utilized, achieving efficient human-machine safety cooperation, helping to build a flexible, intelligent, and efficient logistics system, and promoting the upgrading of enterprise intelligence.