Volleyball Court Lighting Optimization System Based on Ant Colony Optimization Algorithm and PSO-SVM

The traditional lighting system usually requires the user to press the switch key to control the startup or shutdown of the lighting equipment, and the lighting brightness is fixed in the design system, and the brightness adjustment cannot be realized. In order to solve this problem, this paper designs an intelligent lighting system suitable for volleyball courts. The voice recognition function is added to the system, so that the system can adjust the lighting brightness through voice commands, and can also control the working mode of the lighting system. In order to ensure that the lighting brightness of the system can meet the needs of the volleyball court, ant colony optimization algorithm, particle swarm optimization algorithm and support vector machine are introduced in the system design brightness to adjust the lighting value.