Dynamic Control and Scheduling Optimization of Urban Light Shows Based on Real-time Computing

With the development of smart cities and Internet of Things technologies, urban light shows, as an important manifestation of modern urban culture, face the challenges of efficient scheduling and real-time control. This paper proposes a dynamic control and scheduling optimization method for urban light shows based on real-time computing, aiming to improve the response speed, energy efficiency and effect consistency of the light show system under high load conditions. First, the system architecture is designed, and the coordination and synchronization between devices are optimized in combination with the real-time computing framework to ensure the stable operation of the light show. Then, an optimization algorithm based on dynamic scheduling is proposed to improve the system performance by reducing delays, reducing energy consumption and improving the synchronization of lighting effects. Experimental results show that the proposed method can significantly improve the overall performance of the system under various load conditions, and show better control effects under high load. Through experimental verification, the scheme of this paper effectively solves many shortcomings of the traditional light show system and provides an efficient solution for the management of light shows in future smart cities.