OPTIMIZATION OF APPROACHES TO AUTOMATION OF FIBER-OPTIC SYSTEMS

Chaika Maxim Olegovich

At the present stage, the optimization of fiber-optic systems is very relevant in various industries. This relevance is due to the general properties of optical fiber and its technical characteristics. The paper considers the possibility of optimizing the approach to automation of fiber-optic systems through the use of artificial intelligence technologies. Artificial intelligence in the management of fiber-optic systems, through appropriate algorithms for learning neural systems and real-time analytics, makes it possible to optimize data storage, retrieval and processing, which ultimately expands decision-making capabilities. Thus, the integration between optical fiber and artificial intelligence makes it possible to create a more reliable infrastructure for modern companies using fiber-optic systems. As for data processing issues, systems automated on the basis of artificial intelligence can quickly analyze large datasets, minimizing operating costs. However, in order to realize the full potential of fiber-optic systems, automation must be implemented as a single integrated system, rather than as disparate solutions coordinating various parts of the industrial process. Based on this, in modern conditions of management of automated systems, the development of an optimal approach using artificial intelligence technologies should be of paramount importance.

Keywords:automation; fiber-optic systems; optimization; artificial intelligence; neural networks; industrial automation; ionizing radiation