Optimal Design Of Stadium Lighting Based On PSO-SVM And Dialux

With the development of science and technology and the improvement of people’s living standard,the enhancement of national physical quality is highly valued,thus the scale and number of sports venues are gradually increasing.At the same time,the light environment requirements of the competition venues are relatively high,and the ultra-high definition television broadcast meets the needs of the times.At present,the lighting design of high-grade stadiums still relies on designers’ project experience and trial-and-error methods to achieve,and the energy-saving optimization effect is poor.Seeking a convenient and intelligent lighting optimization method to improve design efficiency and reduce energy consumption is particularly important,so this paper discusses the lighting optimization method for high-grade stadiums with regard to the relationship between lighting design-related parameters and lighting requirements of high-grade stadiums.(1)This paper analyzes the current state of research on stadium lighting at home and abroad.Taking outdoor soccer fields and indoor handball and basketball courts as examples,the relevant standards are described,and traditional lighting calculation methods and lighting simulation software calculation methods are compared and studied,and Dialux 4.13 is used for lighting calculation and simulation.In combination with the actual stadium,a three-dimensional spatial model was established using Dialux 4.13 and the influence of light source parameters and light environment parameters on the lighting level of the stadium was discussed.(2)This paper proposes a stadium lighting optimization method based on the combination of PSO(Particle Swarm Optimization)-SVM(Support Vector Machine)and MFGA(Magnifying Front Genetic Algorithm)algorithms.Firstly,the PSO-SVM algorithm is used to predict the number and height of each type of luminaire,then the MFGA algorithm is applied to optimize the aiming point of the luminaire,and finally Dialux is used to complete the lighting design of the stadium venue.By inputting the required illumination level,the lighting design scheme can meet the requirements,and the output value can meet the lighting needs of high-level sports events,which improves the design efficiency and optimizes the energy-saving effect,providing an effective method for the lighting design of large-scale sports venues.(3)To address the global search and convergence ability of the PSO algorithm,chaos theory is introduced in the initial population to improve its ergodicity,and particle adaptive variation algorithm is introduced in the iterative process to avoid falling into local optimum;the inertia weights and learning factors in the algorithm are optimized to improve the application effect of the PSO algorithm.The simulation results verify that the improved PSO-SVM algorithm prediction accuracy effect is better than SVM and BP neural network algorithm,and the human-computer interaction interface of the stadium is built using PSO-SVM algorithm,which improves the lighting design efficiency.(4)This paper verifies the effectiveness and practicality of PSO-SVM and MFGA algorithms based on PSO-SVM and MFGA for the optimal design of stadium venue lighting.Simulation experiments are conducted with indoor handball court,basketball court and outdoor soccer field as examples,and the experimental results show that the optimized stadium lighting design scheme achieves lighting optimization and energy saving effect.