专家：人工智能已成为工业互联网深层次发展的关键变量

Core Insights - The integration of artificial intelligence (AI) with industrial internet has led to the emergence of over a hundred application models, making AI a key variable in the deep development of industrial internet [1] - AI is widely applied across all stages of research, production, and management, with two main technical application routes identified: specialized small models and large models [1][2] Group 1: Application Models - The first application route involves specialized small models, which are transitioning from peripheral applications like industrial visual recognition to deep analysis that integrates data and mechanisms. Data optimization applications now account for 48% of the cases, surpassing visual recognition at 40% [1] - The second route, represented by large models, is still in its early stages but shows continuous enhancement in capability and integration with domain knowledge, particularly in processing multimodal industrial data [1] Group 2: Future Prospects - Experts predict that large models will continue to enhance generalization and comprehensive analysis capabilities, working in tandem with small models to accelerate the transformation of the entire "research-production-management-service" chain [2] - Large models will assist companies in achieving autonomous product design by rapidly generating creative solutions based on vast data, optimizing parameters and structures for performance, quality, and cost [2] - They will also enable highly autonomous and unmanned production by automatically generating precise and flexible production plans, allowing for quick adjustments in response to unexpected situations [2] - Additionally, AI will facilitate smart operational management and services by collecting and analyzing data from various business segments, optimizing resource allocation, and monitoring operational risks in real-time [2]