This groundbreaking project integrates AI large models and cutting-edge intelligent hardware to revolutionize wireless network optimization. By leveraging large language models, intent analysis, twin maps, and 3D simulation, it delivers an end-to-end intelligent solution encompassing problem detection, in-depth analysis, efficient resolution, and post-optimization evaluation. It introduces three fundamental shifts in wireless optimization: transitioning from performance-driven approaches to a perception-first model that prioritizes user experience; shifting from a purely network-centric perspective to a balanced focus on both users and business needs; and evolving from isolated issue resolution to a comprehensive optimization strategy that targets key areas, specific scenarios, and core user experiences. The project pioneers several innovations. AI-powered intent recognition interprets user complaints and feedback, enabling precise problem identification. Grid-level analysis, supported by intelligent hardware, goes beyond traditional KPIs to provide detailed, real-time insights into network performance. A dynamic switching algorithm enhances network efficiency by optimizing parameters in real time. Additionally, 3D simulation-based post-evaluation facilitates accurate predictions and validation of network improvements before deployment.