Monitoring And Controlling Pollutants with Modern Methods and Using Artificial Intelligence in the Anode Manufacturing Unit of the South Aluminum Factory (SALCO) in Lamerd

Abstract

This study examines the monitoring and control of pollutants using modern methods and artificial intelligence in the anode manufacturing unit of the South Aluminum Factory (Salco) in Lamerd. The aim of this research is to evaluate the impact of advanced technologies on improving air and water quality and managing environmental pollution. For this purpose, analytical and comparative methods were used and various indicators such as data integration, real-time data analysis, communication with Internet of Things systems, predictive modeling, early warning system, and public education and awareness were examined. The findings show that real-time data analysis and communication with Internet of things systems have the highest priority among the indicators, respectively, which indicates the importance of these factors in improving monitoring efficiency and preventing environmental crises. Also, the use of artificial intelligence technologies such as ChatGPT can help to identify environmental problems more quickly, promote environmental culture among employees, and reduce environmental costs. Finally, this research emphasizes the importance of new approaches in pollutant monitoring management and shows that integrating AI technologies with monitoring systems can lead to improved environmental quality and public health in heavy industries such as aluminum production.