Research and application of active monitoring technology for power transmission and transformation construction safety in complex environments

Monitoring systems at power transmission and transformation construction sites often face challenges from complex environments such as haze, low lighting, and strong winds, leading to degraded video quality and stability. To enhance the reliability of these monitoring systems, this study employs three algorithms: image dehazing, low-light enhancement, and wind-induced blur removal. These algorithms are integrated through adaptive weight adjustment and parallel processing. This integration strategy enables the monitoring system to select the optimal algorithm in real-time based on environmental conditions and maintain stable image quality under multiple adverse factors. Experimental results show that the image dehazing algorithm improves PSNR to 28.37 dB in hazy environments, the low-light enhancement algorithm achieves a PSNR of 25.34 dB at night, and the wind-induced blur removal algorithm maintains an SSIM of 0.903 at a wind speed of 4 m/s. Transmission tests in weak signal areas indicate that a compression ratio of 30:1 to 40:1 can effectively balance video quality and bandwidth requirements. The monitoring system that integrates multiple algorithms demonstrates good adaptability and robustness in complex environments, providing reliable technical support for safety monitoring at power transmission and transformation construction sites.