The Use of Neural-Networks Simulation Methods for Permanently Monitoring the High-Temperature Values of the Hydrogen-Ion Indicator pH_t of the Coolant at Nuclear Power Stations

摘要

A method is proposed for determining the pH, value that enables one to monitor the current value of this indicator and to find the required concentration of correcting additives from the above data. It is shown that this method makes it possible to fully automate the monitoring and correcting of the water chemistry in the first and in the second circuits of nuclear power stations equipped with VVER reactors. The models developed on the basis of this method can be arranged as separate codes and introduced at all of the power units at this type of nuclear power station. The high accuracy of the method is facilitating its implementation at power units of the nuclear power stations with type RBMK reactors.