Abstract
The main purpose of the article is to develop an algorithmic software solution for an automated measuring system for accounting for emissions, capable of determining the conditions for the stability of measurements of input data for estimating the contents of the components of the chemical composition of pollutants, and allowing to replace incorrect data from a faulty measuring instrument with data from logical (indirect) measurements based on indications of serviceable measuring instruments. The results of using a multidimensional process disorder detector and a stable value reconstructor on historical data of a petrochemical process plant are demonstrated.
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