DEVELOPMENT OF INTELLECTUAL SPECIAL SOFTWARE FOR SECURE CONTROL OF VENTILATION SYSTEMS FOR CONFINEMENT BASED ON THE SECURE INERTITION OF THE SYSTEM
DOI:
https://doi.org/10.35546/kntu2078-4481.2024.2.1Keywords:
software engineering, software architecture, special mathematical software, databases, neural networks, generative algorithms, radioactive aerosols, New safe confinement, nuclear power plant, ventilation system.Abstract
The article presents further studies of the processes of movement of air masses contaminated with radioactive aerosols inside and around the New Safe Confinement (NSC) over the «Shelter» facility of the Chernobyl nuclear power plant, taking into account the inertia of the behavior of air masses and, on their basis, the development of intelligent special mathematical software for the operation of ventilation systems based on machine learning with reinforcement based on genetic algorithms. The article is a continuation of research on the development of effective software for controlling confinement ventilation on new scientific bases. Previous studies were published in [5] of this scientific publication and found a wide response from the international scientific community. The developed and implemented generative algorithm of intelligent special mathematical software will be trained on finding functions by analyzing large volumes of data. The historical data of the hydrodynamic state of air contaminated with radioactive aerosols under the NBK and hydrometeorological data corresponding to the time indicators of that time period were the data used during the development of the software. The developed software will make it possible to take into account the inertia of the air masses under the NSC during the operation of the NSC ventilation systems and optimize according to the criterion of minimizing electricity consumption and RA emissions. Development and implementation of intelligent software for controlling ventilation of sequential power take-off for additional development in this area. You can perform data analysis to search for control algorithms at a point, as well as integration with sequential intelligence to automatically respond to changes in the middle. This pleasantly increases the efficiency and unemployment of the operation of not only the Chernobyl zone facilities, but also other industrial and environmentally friendly facilities.
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