Modern underground heating networks are a critical component of urban infrastructure, and their condition directly impacts energy efficiency and safety. However, detecting damage or heat leaks in these networks is a challenging task due to their underground location and limited accessibility for traditional monitoring methods.
This master's thesis is dedicated to the development and implementation of an automated thermal imaging system for monitoring the condition of underground heating networks. The system combines the use of thermal imaging cameras and automated data processing algorithms to detect temperature anomalies indicating potential damage or heat leaks in the networks.
The research includes a theoretical analysis of pipeline monitoring methods and the selection of necessary equipment.
The study results demonstrate that the developed system provides highly accurate monitoring of underground heating networks, enabling the timely detection of issues that could lead to energy losses or accidents.
This thesis has practical significance for improving the condition of underground heating networks, contributing to reduced energy costs and enhanced safety. It can also be applied by energy companies, municipal services, and other industries where continuous monitoring of infrastructure is crucial.
Research advisor: O.Muraviov
