1. Barrier-free in-depth interaction: Adopting an offline voice system that supports multiple languages and dialects; built-in deep neural network noise reduction and AEC algorithms to resist echo interference, with integrated voice and semantic understanding. 2. AI predictive maintenance system: Early warning of potential faults 10 days in advance, with data algorithm analysis to identify abnormal patterns, and a fault diagnosis accuracy rate of up to 99%; the edge computing platform features self-optimization of energy efficiency and dynamic evaluation of multiple variables. 3. Modular design enables replacement of faulty units in 3 minutes, reducing downtime by 70% and maintenance costs by 60%; intelligent algorithms optimize power distribution, achieving an average annual energy saving of 6%-8%; supports remote control and full life cycle management, with real-time fault tolerance and correction in task flows, making it more adaptive to needs through continuous use. 4. Currently, this series of products has been applied in projects such as Beijing Daxing International Airport, the Three Gorges Water Conservancy Project, the Baihetan Hydropower Station, and the "Belt and Road" initiatives (including Dubai Photovoltaics, Tanzania Port, Panama Airport, etc.).