This paper explores the application of intelligent technology in aviation maintenance risk control

highlighting practical implementations such as predictive maintenance

automated diagnostics

5G+AR integration

and drone inspections. These technologies enhance safety

efficiency

and reliability

significantly reducing downtime and operational costs. The case studies of Hainan Airlines and Song Jun's automated systems illustrate the transformative impact of these advancements. Practical recommendations are provided for effective implementation

emphasizing phased integration

continuous training

robust data security

and collaborative partnerships. Embracing intelligent technology is crucial for advancing aviation maintenance practices.