Algorithm for creating an automated system for calculating the effectiveness of cleaners

The article is devoted to the development of an automated system for assessing the effectiveness of cleaning measures for different types of environmental pollution. The need for standardized tools for selecting optimal cleaning methods in emergency situations and during regular monitoring is investigated. A comparative analysis of modern automation approaches, including machine learning, fuzzy set theory, and neural networks, is presented. A multi-level algorithm has been developed, supplemented with a calculation mechanism for insufficient initial data and a rating scale. The software solution is implemented in Python with GUI on Tkinter and DBMS SQLite. A mathematical model for calculating the effectiveness of a purifier through a weighted sum of nine factors is proposed. The system is focused on use by environmental protection organizations, emergency units and scientific institutions.

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