Thermographic Monitoring of Nuclear Power Plant’s Spray Ponds Using Infra-Red Data Processing Methods

Abstract

This paper outlines an approach to monitor nuclear power plant spray ponds using thermographic monitoring. The approach involves measuring temperatures during summer and winter periods to identify potentially dangerous or fault-prone areas and improve the reliability of technical water supply. The automated machine processing procedure for thermograms was developed based on digital image processing. The results demonstrate that the obtained database can effectively help determine losses resulting from critical situations at nuclear power plants.