The results of the study demonstrate that the deep learning-driven image captioning system effectively generates high-quality captions and provides accurate predictive insights for realtime monitoring and control of pollutant gas concentrations. The positive feedback from operators highlights the system's potential to enhance environmental monitoring practices and contribute to more effective management of industrial emissions. Future work will focus on further refining the models and expanding the dataset to improve performance and applicability across diverse industrial contexts.