Design of Intelligent Technology for Assessing Technogenic Impact on an Object

Abstract

Studying the impact of technogenic loads on natural objects allows us to formulate the problem of assessing the consequences of such processes. This problem is especially important for assessing the condition of mineral water deposits. The use of intelligent analysis tools allows us to understand the general nature of the processes and identify further research directions. The study utilizes clustering tools for mineral water deposit data. Processing the dataset using methods based on the probabilistic mechanism of Bayesian networks provides a general picture of the impact of climate change and allows us to formulate hypotheses about the nature of changes in the condition of natural objects. The results can be used by mining companies to more effectively organize natural resource extraction technologies.