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Smart RDM for
heat and power generation

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Smart RDM to portal wspierający proces optymalizacji produkcji energii.

Monitorowanie i analiza stanu bloków:

  • Podgląd wskaźników produkcji w czasie rzeczywistym
  • Wykrywanie nieprawidłowości
  • Ograniczenie awarii
  • Prognozowanie produkcji
  • Monitorowanie planów produkcji
  • Raportowanie

Main uses of Smart RDM in inthermal and power generation

  • Fault detection
  • Visualization of operating status of equipment: units, boilers, turbines, etc.
  • Equipment operation diagnostics
  • Monitoring of production plans
  • Automatic reporting

Heat demand forecast

  • A prediction model using a statistical algorithm using historical data.
  • Prediction model calculated in accordance with the Regulation on detailed rules of shaping and calculating tariffs and settlements for heat supply.
  • Prediction model using machine learning algorithms.

Optimal configuration of production units (ERO)

  • Determination of optimal configuration of generating units on the basis of efficiency and availability characteristics taking into account start-up/shutdown costs within a 72-hour horizon

Optimal production and delivery parameters

  • Determination of system water parameters based on control table
  • Comparison of parameters with actual values, deviation analysis

What are the benefits of Smart RDM

Support for the detection of failures and overruns
Automatic reporting to authorities
Improved repair and maintenance planning
Key real-time infrastructure status information 
Reduction of CO2 emissions
Reduce repair costs

Smart RDM - standard version
Production Optimization in Five Steps

01. •Data Integration

The first step is to integrate all key data, including map data and real-time data.


Create a single source of truth for business systems securely separated from critical infrastructure.
System Raportowania, Monitorowania i Analiz
Monitorowanie Online

Wizualizacja synoptyki analiz
Obsługa alarmów

Operacyjne i biznesowe

Moduł obliczeń i zaawansowanych analiz
Centralne Repozytorium Danych
Dane z umów
Informacje rozliczeniowe
Systemy rozliczeniowe
Dane pomiarowe
i procesowe (zmienne)
Przemysłowa baza SQL, SCADA, AIUT
Wizualizacja lokalizacji produkcji ciepła i energii
Węzeł cieplny

02. Building context

The second step is to map the technical infrastructure and production processes in a digital model. Appropriate codification, delivered during implementation, will enable monitoring and analysis of the production line status. Each monitored element of the machine will have its own unique code in the system combined with corresponding data from measuring devices.


Ability to reliably compare infrastructure elements, analyze them, and quickly add new elements to the model, such as a branch, block, sensor, or business indicator.

03.Visualization and monitoring

The third step is the digital mapping of processes on interactive synoptic masks. For each element of the technical infrastructure of the unit a digital schematic is prepared so that operators have a real-time overview of the situation


Overview of current and historical technical parameters of machines. Quick reaction to events.
Wizualizacja produkucji ciepła i energii
Sprawność wymiennika
Schemata układu produkcji energii i ciepła
Zarządzanie zdarzeniami

04. Alarms and notifications

The system allows you to configure alarm thresholds and anomaly notifications for irregularities, schedule overruns, or performance. Events are integrated with notifications sent to defined users. The system operator has the ability to redirect events to the appropriate service along with the necessary information about the event and its location


Automation and reduction of failure handling time.

05. Analysis and reporting

The system enables efficient reporting. Reports can show the execution of plans, summary of machine status and other business indicators needed to analyze production efficiency.


Present results to managers and quickly handle legally required reports.
Raport danych zwalidowanych
Raporty z węzłów

Smart RDM - extended version
Energy production - advanced industry algorithms

Once the basic needs of equipment condition monitoring and reporting are met with Smart RDM, we will meet the new challenges of production optimization.

The business environment will push for continuity of energy supply, reduced downtime and higher equipment efficiency as well as control and reduction of CO2 emissions.  In the Big Data module, we use specialized computing algorithms to clean and populate data, detect anomalies to avoid failures, forecast production, plan maintenance and optimize blocks.
Zaawansowana predykcja zużycia energii

Przykładowe wdrożenia

Production Monitoring and Reporting System

PGE GiEK used OSIsoft and Smart RDM to improve the efficiency of the electricity generation process.