Abstract:

At present, the integration of Industrial Computing and Network Convergences and industrial artificial intelligence still faces such challenges as poor versatility of solutions, which leads to high investment and difficulties in promotion and application. Most integrations are still at the system adaptation stage, and the lack of deep integration with business processes and management control mechanisms leads to fragmented management and insufficient collaboration. By examining the current state of technological convergence, this paper analyzes the problems of the mismatch between supply and demand, insufficient depth of integration, potential risks in system security and the standard development is still in the initial stage. Meanwhile, this paper looks forward to the future development trends in terms of technology, application and ecology, and puts forward targeted suggestions from three dimensions: technological tackling, guidance and support, and ecological construction. With continuous breakthroughs in technological innovation and deepening ecological synergy, integrated development will gradually overcome current bottlenecks, delivering multiple benefits to the industrial sector—significant improvements in production efficiency, substantial reductions in energy consumption, and marked enhancements in self-reliance. This will propel China’s industrial system toward smarter, greener, and more integrated.

Key words: industrial computing and network convergence, industrial artificial intelligence, integration