智能制造成制造业转型核心方向，人工智能技术与机械电子工程深度融合，推动传统制造模式发生根本性变革。本文聚焦人工智能在机械电子产业的落地实践，系统分析AI技术在机械电子设备感知、控制、优化等环节的产业化应用路径，深入探讨AI驱动下机电系统在精度提升、能耗降低、故障预警等方面的突破及量化经济价值。研究显示，机器学习、计算机视觉等AI技术赋能，使机械电子设备实现自主决策与自适应调节，大幅提升生产效率与产品质量，为制造业智能化升级提供实践参考与数据支撑。

Intelligent manufacturing has become the core direction of the transformation in the manufacturing industry. The in-depth integration of artificial intelligence(AI)technology and mechanical and electronic engineering has driven a fundamental transformation in traditional manufacturing models. Focusing on the practical application of AI in the mechanical and electronic industry, this paper systematically analyzes the application paths of AI technology in the perception, control,optimization and other links of mechanical and electronic equipment, and deeply explores the breakthroughs and industrial value of AI-driven electromechanical systems in precision improvement, energy consumption reduction, fault early warning and other aspects. Research shows that with the empowerment of AI technologies such as machine learning and computer vision, mechanical and electronic equipment can achieve autonomous decision-making and adaptive adjustment, which significantly improves production efficiency and product quality, providing practical references and data support for the intelligent upgrading of the manufacturing industry.