Deep Integration of AI and Core Technologies
AI has become a pivotal factor in production line upgrades. In my country's leading smart factories, AI integration across business scenarios exceeds 70%, with over 6,000 domain-specific models developed, accelerating deployment in core areas such as process optimization and equipment management.
AI-driven predictive maintenance provides early warnings of equipment failures, significantly reducing unplanned downtime.
Large models and industrial AI agents are deeply embedded throughout the R&D, design, and manufacturing processes; in some scenarios, simulation tasks that previously took eight hours can now be completed in minutes.
The combination of 5G and the Industrial Internet creates a low-latency smart factory ecosystem, while digital twin technology enables remote monitoring and dynamic optimization of the entire production process.
Flexibility and Customization Become Mainstream
To meet market demands for personalized and small-batch production, the ability to flexibly reconfigure production lines has become a core competitive advantage.
Modular design allows for rapid production line reconfiguration; for instance, electric vehicle battery lines can switch product specifications without requiring large-scale hardware replacement.
Non-standard, customized production lines account for 73.6% of new orders signed for 2026, establishing a new delivery norm of "standard base unit + customized tooling + process algorithms."
The widespread adoption of collaborative robots enables production lines to rapidly switch between more than 15 product specifications, reducing the average changeover time by 37%.
