Utility Networks Covered by YDURA®
Unifying Physical Operational Arguments with Cognitive AI Logic
A unique strength of the YDURA® framework is its ability to handle diverse utility networks by reconfiguring its Information and Functional layers to match specific industry "arguments" (technical parameters). The table below outlines the core operational arguments YDURA manages across different sectors:
Electric Utilities
Voltage ($V$), Current ($I$), Active/Reactive Power ($P/Q$), Frequency ($f$), Spinning Reserve, N-1 Contingencies, Total Harmonic Distortion (THD).
Focus: Load Balancing, Frequency Stability, and Economic Dispatch optimization to manage grid volatility and renewable integration.
Water Utilities
Pressure ($psi/bar$), Flow Rate ($m^3/h$), Turbidity, Chlorine levels, Reservoir Levels, Pump Efficiency, Leakage Detection ($m^3$ loss).
Focus: Smart Pressure Management and Leakage Localization. Optimizing pumping energy consumption and reservoir levels.
Gas Utilities
Flow Velocity, Calorific Value, Pressure, Compression Ratios, Temperature, Storage Capacity ($BCM$), Odorant concentration.
Focus: Compressor Station Efficiency, Peak Shaving, and Corrosion Prediction for pipeline flow assurance.
Oil Utilities
Viscosity, API Gravity, Flow Rate, Pipe Wall Thickness (Corrosion), Multiphase flow ratios (Oil/Water/Gas), Wellhead Pressure.
Focus: Flow Assurance, Corrosion Prediction, Pumping Optimization.
Telecom Utilities
Bandwidth ($Gbps$), Latency ($ms$), Signal-to-Noise Ratio ($SNR$), Packet Loss, Power Consumption per Node, Handover Success Rate.
Focus: Dynamic Traffic Routing and Predictive Congestion Management to optimize handover success and network availability.
Smart Transport
Traffic Density, Signal Timing, Average Speed, Headway (Train/Bus), Energy Consumption per KM, EV Charging Demand.
Focus: Congestion Mitigation and Fleet Energy Management to synchronize EV demand with grid capacity, Route Optimization.