The research aims to develop an intelligent and energy-efficient adaptive control strategy for airport landscape lighting using multi-source sensor fusion.
Analyzed the demand for airport landscape lighting and classified scenarios.
Designed a perception system involving sensor selection, deployment, and data fusion techniques.
Proposed adaptive control strategies, focusing on dynamic adjustment of lighting parameters based on scenarios.
Achieved dynamic adjustment of lighting parameters based on situational requirements.
Developed energy-saving optimization strategies prioritizing efficiency.
Enhanced rapid response capabilities for emergency scenarios.