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Intelligent Control Scheme Formulation for the Biotechnological Filter

Didar Yedilkhan, Sanzhar Kusdavletov, Dariya Bissengaliyeva
Abstract: The problem of air pollution is significant, as there is a negative impact on human health. This problem is especially relevant in large cities with many people living there and many enterprises. As part of the research, a solution is proposed where a non-standard approach is implemented using moss to purify the air in specific locations. This solution, if appropriately scaled, can have a significant environmental and social impact by replacing the planting of many trees. It is planned to create a prototype of a biotechnological filter and further monitoring and analysis of the performance of systems, including the cultivation of a plant crop - moss. The article describes the planned experiments to create an autonomous control system supporting moss growth using reinforcement learning algorithms. For the algorithms, the most crucial part is available data. For this reason, the process of data collection from the biofilter is described. This approach will allow us to analyze the operation of the filter components both in the laboratory and actual conditions, as well as maintain all the requirements. In general, reducing air pollution will protect the climate and the environment. The research group develops an effective biofilter for the environment through a carefully selected and unique combination of biology and control technologies.
Keywords: Urban areas / Prototypes / Reinforcement learning / Filtering algorithms / Information filters / Control systems / Air pollution

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