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Energy and housing and communal services
10:59, 06 March 2026
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Digital Shield for District Heating: Moscow Monitors 8,000 Heat Substations Online

Moscow is accelerating the deployment of smart technologies across its municipal utilities sector. According to Deputy Mayor Pyotr Biryukov, nearly 8,000 heat substations in the capital are now connected to a real-time dispatch monitoring system, creating a digital oversight layer for one of the world’s largest urban heating networks.

This initiative represents one of the most extensive smart utility technology deployments in Russia’s urban infrastructure. Last year alone, specialists from MOEK installed the necessary monitoring equipment at another 765 facilities.

Sensors track more than 15 parameters including pressure, heat carrier flow and temperature across multiple control points. Every hour the system collects, organizes and analyzes these data streams. A key feature is the smart monitoring technology that can detect even subtle anomalies during nighttime hours when hot water demand is minimal. This capability allows operators to identify heat losses and sections of the network that may be at risk of failure. Emergency crews can then be dispatched immediately to the suspected leak location.

Together, these capabilities improve system reliability and make it possible to prevent major failures at heating nodes before they escalate.

From Automation to Predictive Analytics

The successful rollout of the online dispatch monitoring system in Moscow demonstrates that the model could scale nationwide, particularly in other large metropolitan areas where the economic benefits would be the greatest.

At present this is one of the most powerful and extensive district heating systems in the world. It includes more than 16,600 kilometers of heating networks and 24 pumping stations. All of these facilities operate around the clock in a coordinated way so that Moscow residents always have heat and hot water in their homes. We have developed an algorithm to forecast and detect hidden leaks in distribution heating networks based on data from the Dispetcherizatsiya system. This approach allows preventive repairs to be carried out in advance and therefore helps eliminate heat losses
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As artificial intelligence technologies continue to spread across infrastructure management, the system has the potential to incorporate predictive analytics algorithms that not only identify sections at risk of failure but also forecast equipment wear and determine optimal replacement strategies.

Five Years of Development: From Pilot Projects to a Systemwide Platform

Large-scale automation of heating substations began in 2020 when Moscow introduced the Dispetcherizatsiya (Dispatching) system. Engineers at MOEK later developed and implemented their own algorithm for detecting hidden leaks using the system’s operational data.

Beginning in 2022, connecting new facilities to heating networks as well as carrying out reconstruction and repairs of district heating infrastructure in the capital became possible only if digital dispatch systems were installed and integrated into MOEK’s unified monitoring platform.

The number of connected substations has steadily grown. In 2021 the system monitored about 6,200 heat substations, while by 2024 the number exceeded 7,200.

Toward Full Coverage and Smart Utility Networks

Such a large-scale program has already produced measurable results. In 2024 MOEK reported that smart monitoring algorithms helped prevent 1,100 technological disruptions across the heating network, compared with 965 incidents a year earlier. At the same time, engineers significantly reduced the time needed to locate hidden damage in pipelines. Instead of taking up to three days to identify a leak, the search process now takes roughly one day.

The long-term goal is full coverage. Dispatch monitoring systems are scheduled to be installed at every heating substation operated by the company, more than 10,700 facilities in total. However, expanding coverage alone is not the only objective. The next step is to significantly deepen the analytical capabilities of the system.

Given Russia’s broader strategy of import substitution, domestic developers are expected to introduce new IT tools capable of forecasting the condition of heating networks. In Moscow these systems will likely integrate with other elements of the city’s smart infrastructure. As a result, the management of critical utilities including water supply and power networks could become unified within a single digital environment, improving infrastructure reliability and making daily life more comfortable for residents.

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