ARTIFICIAL INTELLIGENCE TECHNOLOGIES FOR AUTOMATED FORMATION OF THE INDUSTRIAL ENVIRONMENTAL CONTROL PROGRAM (MESSAGE 2)
Industrial environmental control (IEC) is a system of measures aimed at preventing environmental pollution, especially such a dynamic environment as atmospheric air. But the organization of the IEC is not spelled out in the current methodological documents. Therefore, it is relevant to create algorithms for the formation of IEC for industrial enterprises of any industry. Message 1 describes methodological approaches for determining the list of substances subject to IEC. The next task is the formation of an algorithm for determining the measurement points of the established list of substances subject to systematic control. An algorithm for the development of a program (IEC) for industrial enterprises is proposed, which should be implemented in the zone of influence of emission sources. A method is described for determining control points at which measurements of the concentrations of substances subject to systematic control at the border of the sanitary protection zone of an enterprise should be carried out. The values of the adapted calculated concentrations with a territorial reference are subjected to neural network cluster analysis. As a result of the analysis, clusters are obtained - groups of points in the territory, which are characterized by uniform concentrations of polluting components. First, two clusters were sequentially identified, where one of them, according to experts, had an increased degree of pollution hazard for the population, which is confirmed by calculations of the average values of the hazard coefficients for toxicants in the cluster. The selected high-risk cluster was subjected to further detailing by going through the grouping procedure again. At the second stage, two additional clusters were identified, which made it possible to isolate the points most susceptible to pollution into a separate group. It was the points of this cluster that were identified as priority for instrumental control.