Effectiveness Evaluation of Air Pollution Intelligent Control Based on AI Guided Haze Image Identification Algorithm

摘要

Effectiveness evaluation of air pollution intelligent control based on AI guided haze image identification algorithm is conducted in this paper. Firstly, we choose median filter to denoise the image, choose the global fog image enhancement method to enhance the image, and segment the image through the Gaussian mixture model algorithm based on spatio-temporal information. Secondly, the novel AI system is designed for the implementations of the environment sensing framework that can collect the data, pre-process the data and finally extract the overall information for analysis. Lastly, the intelligent control system is desinged and implemented. Reflecting from the simulation results, the proposed monitoring system can comprehensively analysis the data well.