Main use of Smart RDM in :

Diagnostics

  • Fault detection (e.g. heat exchanger fouling or valve drift)
  • Visualization of heat substation and controller operating status
  • Diagnostics of circulating pumps and heat substation control system
  • Prediction of the impact of changing parameters on energy consumption

Optimisation

  • On a heat substation ranking based on the current state of the heat substation and its importance
  • Thanks to the advanced heating curve analysis
  • Heat supply based on more accurate power demand forecasting
  • Repair and maintenance based on the actual condition of the equipment
  • Heat consumption – savings calculator (calculation of savings for different schedules)

Meter Analytics

  • Monitoring the continuity of readings and their accuracy
  • Automatic data validation and cleaning
  • Verification of deviations
  • Ready-made calculation models and the possibility of creating your own

Diagnostics

  • Breakdown detection
  • Visualization of machine status
  • Machine running diagnostics
  • Detection of production overruns

Optimisation

  • Based on machine ranking according to current machine status and importance
  • Improvement of business indicators, especially OEE
  • Repair and maintenance based on the actual condition of the equipment

Diagonostics, Monitoring, Reporting

  • Fault detection
  • Visualization of the 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 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

Diagnostics

  • Malfunction detection
  • Visualization of the operating status of devices: wind turbines, photovoltaic panels, energy storage
  • Diagnostics of equipment operation
  • Forecasting of production

Optimsation

  • Based on equipment ranking, using the current status of e.g. a wind turbine and its importance
  • Based on power curve analysis
  • Energy supply optimisation based on more accurate production forecasting
  • Repairs and maintenance based on actual condition of equipment

Diagnostics

  • Analysis of flows in given zones
  • Real-time analysis of trends and key parameters in interactive views
  • Integration of real-time and geographical data
  • Comprehensive handling of automatically generated events
  • Management of repair teams in the field
  • Weather data monitoring collection of views showing data from weather stations, piezometers and gauges.

Optimization

  • Reduction of water losses based on zone balancing
  • Failure recovery time
  • Repair and maintenance based on real-time monitoring of facilities
  • Repair and maintenance based on the actual condition of the equipment
  • Water production demand forecasting

Electricity meters in water production and treatment

  • Monitoring the continuity of readings and their correctness, including meter rewrites and replacements
  • Automatic data validation and cleaning
  • Verification of deviations
  • Gap-filling algorithms
  • Ready-to-use calculation models and possibility to create your own

Water meters

  • Monitoring of continuity of readings and their correctness, e.g. meter rewiring and replacement
  • Operation of meters for billing purposes (invoicing)

Benefits

Key real-time network and devices status information

Reduction of failures and downtime

Automatic reporting to authorities

Reduction of CO2 emissions

Easiness to adapt to regulatory changes

Improving the financial results of the company

Key indicators monitored and analysed in real-time

Advanced analytics available as scheduled or on demand