Novosibirsk state technical university (NSTU) is developing a program for monitoring the state of heating networks in the Siberian capital. The development will make it possible to monitor the current state of the coolant transportation system and prevent accidents at heat supply facilities.
NSTU-NETI engineers have launched a project to generate anonymized data sets on the operating modes of heating points based on information accumulated over five years. According to Alexander Dvortsevoy, Associate Professor of the Department of Thermal Power Plants at NSTU-NETI, Candidate of Technical Sciences, the result of the work will be solutions that will help heat supply companies monitor the condition of Novosibirsk heating networks and prevent accidents at utility facilities, and detect trends in the profiles of heat supply facilities.
"Since 2020, we have accumulated a large amount of data based on the work of heating facilities of the first category — kindergartens and schools, and now we are working on summarizing the information in order to obtain a typical profile of facilities. Such a "benchmark" will allow monitoring heat supply facilities, comparing their operating modes and detecting deviations in the current mode," said Alexander Dvortsevoy.
At the next stage, the developers plan to present a machine learning model that will allow them to find patterns in the data, make predictions based on them, and make decisions. This approach to heat supply management will reduce operating costs, reduce losses and increase the reliability of the supply of resources to consumers.
The development of NSTU-NETI will be useful not only for scientific purposes, but the Siberian Generating Company has already become interested in it. "SGK has a huge amount of data at its disposal, these are hundreds of thousands of parameters related to forward and reverse pressure, temperature of direct and reverse mains water, mass flow rate and much more, which will be extremely difficult for a person or a group of employees to process — this should be handled by a machine," said Alexander Dvortsevoy.
According to the project manager, the program is planned to be presented in the spring of 2026. Students of the Faculty of Energy and the Faculty of Automation and Computer Engineering are currently working on its creation.
Earlier, the Department of Energy and Water Supply of Novosibirsk Akademgorodok became interested in the experience of the Department of Thermal Power Plants of NSTU-NETI in analyzing the operating modes of heating networks to detect failures.