Abstract
The task of monitoring the information entropy of large technical systems is considered, which consists in the automated control of the quantitative evaluation of the information entropy of the system and allows us to conclude that management solutions can be made based on stored the current data. This task is particularly relevant for large technical systems, as there are discrepancies between the stored factual information characterizing their state and the actual state of the system. The appearance of discrepancies is due to the scale of the controlled system and causes difficulties in the generation of management solutions developed by a group of decision makers. As a practical example, the paper considers the possibility of automated reduction of information entropy for the collection system of the Orenburg gas field consisting of five gas wells.
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