DeepSeek-assisted elliptical flow-line method for LED freeform surface uniform illumination design

To address the challenges of low design efficiency and difficult parameter optimization in LED illumination systems for long-distance large-diameter circular spot uniform lighting, this paper proposes a DeepSeek-assisted elliptical flow-line method for LED freeform surface uniform illumination design. The method integrates the intelligent reasoning capabilities of large language models with geometric optics principles of the rim ray method, establishing energy conservation mapping relationships between source angular domain and target illumination areas to achieve intelligent design of freeform reflector surfaces. The system takes target surface distance, spot radius, and light source parameters as inputs, utilizing the DeepSeek model to intelligently predict optimal design parameters and significantly reducing iterative optimization processes in traditional design approaches. Experimental results demonstrate that the designed freeform reflector generates a circular spot with 1000mm radius at 8000mm distance, achieving 87.95% illuminance uniformity and 99.75% optical efficiency, both of which are superior to conventional methods. Design efficiency is improved by approximately 70%, with complete design time reduced from a few hours to 3-6 minutes. This research provides new insights for intelligent optical design and holds significant application value in precision lighting applications such as microscopy and large-scale projection systems.