Optimization Design of Coal Mine Camera Parameters Based on Improved PSO Algorithm
ZHAO Chunguang
ZHOU Libing
GAO Peng
LIU Junwei
Abstract：To improve the accuracy of coal mine camera parameter selection based on PSO algorithm,a particle swarm optimization method based on inertia weight adjustment was proposed.On the basis of combining the e-index method in optimization,the inertia weight was dynamically adjusted through the particle fitness function value.In the early stage of iteration,when the fitness value was large,the inertia weight was adjusted according to the number of iterations.In the later stage of iteration,when the fitness was small,the inertia weight was adjusted according to the fitness value to reduce the number of iterations and improve accuracy.The camera internal parameters obtained by Zhang's calibration method through the optimized algorithm was adjusted.To verify the effectiveness of algorithm optimization,calibration experiments were conducted on the camera with optimized parameters.After calibration experiments,it was found that the improved PSO algorithm optimized the parameters of coal mine cameras,with an average error of 0.451 7 piexl,a standard deviation of 0.298 9 piexl,and 213 iterations.Compared with the standard PSO algorithm and e-index method,it can significantly improve the accuracy of camera parameters and reduce iteration time.
Keywords：PSO algorithm improvementcoal mine cameracamera internal parameters
Publication Date：2023-10-12
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1-6 )