Smart RDM for Heat and Power Generation

Main uses of Smart RDM in heating and power generation

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

  • A prediction model using a statistical algorithm using historical data.
  • Prediction model calculated in accordance with locally applicable regulations on 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 based on 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 the control table
  • Comparison of parameters with actual values, deviation analysis
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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 real-time production data.


Create a single source of truth for business systems securely separated from critical infrastructure.

Smart RDM, Schemat

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 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.

Context building, map

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.

Visualisation and monitoring

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.

Monitorowanie procesu

05. Analysis and reporting

The system enables efficient and automatic reporting. Industry report templates are prepared as part of the standard.


Present results to managers and quickly handle legally required reports.

Reporting, Energy and Heat

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.