AI & Analytics
Physics-Based Analytics
First-principles physics models for industrial equipment. Calculate real-time efficiency, track operating points on equipment curves, and trend degradation over time.
Equipment Physics Models
Pre-built first-principles models for common industrial equipment types.
Centrifugal Pumps
Head, Flow, BEP, NPSH, Wire-to-Water Efficiency
Pump curve deviation, cavitation risk index, specific energy (kWh/ML)
Chillers & Heat Pumps
COP, EER, Approach Temperature, Capacity Ratio
Real-time COP vs design, condenser fouling index, refrigerant charge status
Air Compressors
Specific Power, Volumetric Efficiency, Pressure Ratio
kW/100 CFM trending, leak rate estimation, staging optimization score
Generators
Fuel Consumption Rate, Power Factor, Thermal Efficiency
Specific fuel consumption, load factor, coolant degradation tracking
Battery Banks
State of Charge, Internal Resistance, C-Rate Tracking
Cell imbalance detection, capacity fade percentage, thermal runaway risk
Cooling Towers
Range, Approach, Effectiveness, L/G Ratio
Fill degradation index, drift loss estimation, seasonal performance curves
Analytics Capabilities
Real-Time Efficiency
Calculate equipment efficiency every 5 seconds from live sensor data. Compare against design specs and historical baselines.
Operating Point Tracking
Plot current operating point on equipment curves. Alert when operation drifts outside the optimal efficiency envelope.
Degradation Trending
Track efficiency loss over weeks and months. Correlate degradation rate with operating conditions and maintenance events.
First-Principles Validation
Physics equations validate sensor readings. Flag physically impossible values before they corrupt analytics downstream.
Understand Your Equipment at a Physics Level
Stop guessing whether equipment is running efficiently. Physics models give you the answer in real time.