Airplane guiding vehicle method and system based on cloud platform and customized content delivery
By using a cloud platform and a custom content delivery aircraft guidance vehicle method, the spatial attitude and local micro-environment parameters of the aircraft are calculated in real time, and adaptive rendering and global scheduling of the LED display screen are performed. This solves the problems of information fragmentation, line-of-sight attenuation and energy consumption balance in existing technologies, and realizes real-time delivery of flight data and millisecond-level security assurance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANJING LUKOU INT AIRPORT AIRPORT TECH CO LTD
- Filing Date
- 2026-03-05
- Publication Date
- 2026-06-19
AI Technical Summary
Existing aircraft guidance vehicle systems display information statically and fragmentedly in complex dynamic scenarios, failing to achieve real-time synchronization of flight dynamic data and the delivery of customized commands. Furthermore, they suffer severe visual attenuation under adverse weather conditions, lack millisecond-level hardware blocking capabilities at the edge computing level, and are unable to handle spatiotemporal conflicts in road networks during peak hours and balance the energy consumption of new energy vehicle fleets.
The aircraft guidance vehicle method based on cloud platform and customized content delivery is adopted. The vehicle-mounted edge computing unit calculates the spatial pose and local micro-environment parameters of the aircraft in real time, performs adaptive rendering of the brightness and font shape of the LED display screen, and triggers hardware-level interrupt when there is a collision threat. It combines multi-source spatiotemporal graph neural network for global scheduling to optimize task allocation.
It enables real-time and accurate delivery of flight data, improves the visibility and safety of the guidance vehicle in harsh environments, avoids local congestion, and ensures millisecond-level safety and energy balance of the new energy vehicle fleet.
Smart Images

Figure CN122245156A_ABST