Application of Neural Network Algorithms at a Gas Metering Station

Abstract

The technological process of metering gas consumption is the main one at a gas metering station. The measurement results are used to form the value of the gas balance in the gas transmission system and affect its economic efficiency. Therefore, the automation of control of its parameters is an important task. The article discusses the possibility of applying machine learning methods, and in particular, artificial neural network algorithms, in an automated control system for the gas consumption metering process at a gas metering station.