MapEx Software, Inc.

Provides continuous monitoring and evaluation of plant measured data using first-principles heat-balance analysis and advanced data analytics.

Applies conservation of mass and energy plus combustion modeling to equipment models to determine flows, temperatures, efficiencies, and heat rates.

• Combined-Cycle Plant Heat Balance

  Uses mass and energy balances on equipment models to add information to measured data.

• Boiler Heat Balance

  Uses mass and energy balances to determine flows, heat transfer, and boiler efficiency.

• Gas Turbine Heat Balance

  Determines performance parameters such as air flow, turbine inlet temperature, first stage nozzle area, and exhaust gas composition.

Identifies patterns in historical operational data to predict expected performance and detect anomalies in real-time.

• SureSense APR Integration

  Integrates thermodynamic performance models with empirical pattern recognition to improve condition monitoring and root cause diagnostics.

• Bayesian Belief Network Diagnostics

  Employs model-based Bayesian Belief Network approaches to quantify belief in failure modes and automate complex multi-symptom fault diagnostics.

Combines physical heat balance outputs with empirical APR correlations to enhance prediction accuracy and reduce false alarms.