This groundbreaking project integrates AI big models and cutting-edge intelligent hardware to revolutionize wireless network optimization. By leveraging large language models, intent analysis, twin maps, and 3D simulation, it creates an end-to-end intelligent solution that spans problem detection, in-depth analysis, efficient resolution, and post-optimization evaluation. It introduces three fundamental shifts in wireless optimization: moving from performance-driven approaches to a perception-first model that prioritizes user experience, shifting from a purely network-centric view 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 deciphers user complaints and feedback, enabling precise problem identification. Grid-level analysis using intelligent hardware goes beyond traditional KPIs, providing detailed, real-time insights into network performance. A dynamic switching algorithm enhances network efficiency by optimizing parameters in real time. Meanwhile, 3D simulation-based post-evaluation enables accurate predictions and validations of network improvements before deployment.