Substation image clearness method based on image defogging technology
LU Shihao1, ZHU Yun2, LIAO Hua1, FENG Yuli1, ZHONG Wenming1
1. Nanning Monitoring Center, EHV Transmission Company, China Southern Power Grid, Nanning 530028; 2. Guangxi Key Laboratory of Power System Optimization and Energy Technology (Guangxi University), Nanning 530004
Abstract As the substation changes from manned to unattended, operators use cameras and robots to monitor the equipment. However, the image collected from the substation under foggy conditions has low visibility and unclear problems, which leads to the failure of remote monitoring and operation, and increases the security risk of power grid operation. In this regard, this paper studies the foggy images of substations. According to the characteristics of the background color and lighting conditions of the collected images, a fog removal algorithm for the foggy images of substations based on the improved automatic color-grading algorithm is proposed. This algorithm is improved on the basis of the automatic color-grading scale fog removal algorithm, and adopts automatic optimization gamma correction, so that the images after fog removal are more consistent with the human visual perception. Finally, several commonly used defogging algorithms are selected for comparative analysis. Through subjective and objective evaluation, it is shown that the algorithm has better results in image details, brightness, fidelity, operation speed and other aspects compared with the contrast algorithms, which meets the requirements of field application, effectively solves the problem of poor image clarity in substation.
2023, Vol. 24 
