Application of Artificial Intelligence to Improve the Efficiency of Monitoring and Diagnosing the Condition of Complex Technical Objects

This article is devoted to a study on the use of distributed regulators in conjunction with an intelligent decision support system in the context of the operation of a hydromineral well in the Caucasus Mineral Waters region. Hydromineral raw materials play an important role in the medical and recreational industry, and the optimization of its extraction processes is a critical issue to ensure the quality and sustainability of production. The article presents an approach based on the joint use of distributed regulators and intelligent decision support system in order to increase the efficiency and reliability of the process of obtaining hydromineral raw materials. The integration of these technologies makes it possible to automate and optimize well management, taking into account difficult geological conditions.