Leveraging IoT, internet technologies, and others, effectively collect and integrate internal and external airport data from nearly one hundred core systems. Using ETL technology, build data models to extract value from scenarios such as flight prediction, resource scheduling, and passenger behavior analysis. Through early warning monitoring and intelligent decision modules, empower closed-loop safety incident handling, optimize flight punctuality, and meet the overall control needs of a smart airport.

Build a refined, panoramic 3D model of the smart airport, including buildings, aircraft, special vehicles, personnel, and other entities. This visually presents the overall layout and spatial distribution of key assets, enabling managers to monitor real-time resource occupancy, flight dynamics, and passenger flow. Integrate specialized data models to bind and link virtual 3D entities with airport operational data. By merging with video surveillance platforms, match physical video monitoring points 1:1 with 3D coordinates, assisting airport managers in intuitively and conveniently obtaining operational status of designated areas.

Develop full-scenario, full-element, full-process operational visualization tailored for multiple airport roles, perspectives, and domains. Panoramic dashboards provide senior management with data analysis on production, operations, and overall operational status through intelligent analytics. Flight route clearance and restriction information enable advance awareness of flight movements, congestion, and delays, supporting dynamic routing and predictive warnings to avoid delays and cancellations. IoT sensors monitor gate status, aircraft locations, and ground support progress in real time, enabling intelligent gate allocation adjustments. Key service metrics such as boarding gate occupancy and changes, baggage carousel usage, are continuously analyzed and optimized to ensure efficient resource allocation and precise response across the full service chain.