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CONCOMAD

CONCOMAD

Power POD:

Power Plant Performance Optimization Management and Diagnostic System (PowerPOD), an on-line signal validation, performance management, optimization and diagnostic query system for power plant, is a computer-based decision tool that uses both process models and state of the art neural network technology and is compliant with VDI 2048 standard for validating the field signals.Operating managers can greatly benefit by knowing the cost involved in operating the different sub systems of Boiler, Turbine and Regenerative feed heaters away from the standard operating conditions. The accumulated loss due to various operating parameters is generated. The real time diagnostics are not only qualitative but are based on quantitative measures; thus bringing in more direct understanding of costs. PowePOD greatly helps in planned and cost based maintenance activity based on operational effects. Utility managers can know the behavior before actual operation due to built in validation engine and unique ?What-If? scenarios,. The system is designed, developed and implemented by M/S. Altech Imaging and Computing Pvt. Ltd, Hyderabad.

Face Recognition

PowerPOD is a generic software platform developed for thermal Power Plants to

a. accomplish real-time performance evaluation of all the systems viz.Turbines, Condenser, Heaters, Pumps, Boiler, Mills, Fans etc.

b. generate operator guidance to optimize the steady state performance of the entire plant for maintaining best possible operational efficiency

c. generate diagnostic messages on the current state; thus manage the impending failures

d. generate qualitative/quantitative ?what if? queries to study the influences of various parameters on different parameters effecting the operational performance.

The software components are designed to be modular and scalable to enable easy customization to suit the site requirements and financial limits. The individual modules employ state of the art modeling techniques and are based on hybrid approach using both process modeling and Neural Nets. Quantitative diagnostic approach is unique to PowerPOD which helps in quantifying failures in terms of revenue loss. A sample display of parameters and performance indices is shown here.

Face Recognition

Turbine Performance Metrics


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