Core Insights - The International Smart Airport Development Conference highlighted the transition of smart airport construction from large-scale to deep intelligence, driven by increasing air travel demand and technological innovation [1] Industry Developments - The smart airport sector in China is experiencing significant advancements, with the application of IoT, 5G, and AI technologies increasing. Reports indicate that smart airport construction will maintain a high growth rate over the next five years [2] - Data from Shanghai's aviation sector shows that facial recognition security checks now cover 90% of major airports, with smart luggage sorting efficiency improved by 40% and flight delay rates reduced to 8.2% [2] - Shanghai Airport Group is advancing digital transformation through the development of digital twin airports and AI smart travel, achieving data integration and intelligent decision-making [2] Technological Innovations - Hong Kong Airport has implemented autonomous vehicles, facial recognition, and robotics for fully automated processes in baggage handling and passenger boarding [3] - Chengdu Tianfu International Airport has developed a departure flight sorting system and an intelligent taxi management system, along with the world's first L4 level autonomous boarding bridge [3] - The aviation industry is focusing on technology and management innovation to enhance operational efficiency and reduce maintenance costs, with safety as a priority [4] Solutions and Applications - The 5G AeroMACS solution, developed in collaboration with ZTE, offers comprehensive wireless broadband data transmission services for airports, enhancing efficiency and reducing operational costs by 15% [4] - The GBAS system, developed by Qiyi Er Company, provides high-precision guidance for aircraft landings and is fully domestically produced, supporting the promotion of domestic aviation equipment [5] - Smart cargo solutions are becoming essential for the logistics system, with automated and intelligent cargo management systems being developed to enhance operational efficiency [6]