Abstract: A campus intelligent lighting system is designed to address the issue of high energy consumption in campus lighting systems under the dual carbon background. Adopting a system layered structure design, integrating multi-sensor fusion millimeter wave radar + PIR detection technology and environment adaptive dimming algorithm, and achieving device interconnection through LoRa wireless networking; design efficient LED light sources and optimize the heat pipe fin heat dissipation structure, establish a composite optimization function including energy consumption model and lighting quality evaluation. Experimental data shows that the system reduces the daily electricity consumption of classrooms by 44.8% and reduces carbon emissions by 1.2 tons annually; the dimming response is 1.2 seconds, and the illuminance compliance rate is 95.3%; the user satisfaction score reached 4.6 points, and the device lifespan was extended by 30%. Provided a reliable technical solution for low-carbon lighting on campus, with promotional and practical value.