中国照明电器

为了解决夜间无人机作业带来的安全挑战，提高地面人员对无人机位置与状态的识别能力，文章深入剖析了夜间环境下人眼视觉感知机制与现有警示照明系统的技术瓶颈。从视觉生理学与环境光学角度出发，文章探索了基于环境自适应的多光谱照明模块、光强时空调制策略等方案，研究了智能控制与环境感知系统在复杂作业条件下的实现路径。

In order to solve the safety challenges brought by night unmanned aerial vehicle(UAV) operations and improve the ability of ground personnel to identify the position and status of UAVs, this article deeply analyzes the human visual perception mechanism in the night environment and the technical bottlenecks of the existing warning lighting system. From the perspectives of visual physiology and environmental optics, this article explores schemes such as multispectral illumination modules based on environmental adaptation and spatio-temporal modulation strategies of light intensity, and studies the implementation paths of intelligent control and environmental perception systems under complex operating conditions.