AI ЖӘНЕ SCADA КӨМЕГІМЕН МЕДИЦИНАДАҒЫ СТЕРИЛЬДІ ЖАҒДАЙЛАРДЫ БАҚЫЛАУ МЕН БАСҚАРУДЫҢ ИННОВАЦИЯЛЫҚ ТӘСІЛДЕРІ

Abstract

Abstract. The integration of artificial intelligence into SCADA systems for the management of clean rooms in medical institutions is a highly relevant task, since the sterility of these rooms directly affects the safety of medical procedures and reduces the risk of infectious complications. This study aims to assess the potential of artificial intelligence in improving the accuracy and reliability of monitoring and control systems, which is critically important for modern medical institutions. The purpose of this article is to demonstrate the capabilities of artificial intelligence to improve the management of microclimate parameters in clean rooms through SCADA systems, which allows not only to accurately monitor the current state, but also to predict potential deviations from established norms. The research methodology includes the use of quantitative analysis of data collected from SCADA systems and qualitative analysis of the work of the developed artificial intelligence model. The development and training of neural network models was carried out on the basis of real operational data from several medical institutions. As a result of the study, it was revealed that the integration of AI into SCADA systems can significantly improve the accuracy of forecasting and responsiveness to changes in microclimatic conditions, which contributes to maintaining the necessary level of sterility. The authors have developed and tested algorithms that demonstrate high efficiency in preventing possible violations. The results obtained have significant theoretical and practical significance, since they allow not only to improve the understanding of the processes of managing the internal microclimate in clean rooms, but also offer effective tools for their optimization. This contributes to improving the overall efficiency of medical institutions and improving the quality of medical services provided.