PEMS

Predictive system for estimating the concentrations of pollutants in combustion processes.

MAIN FEATURES

Artificial intelligence predictions

PEMS, Predictive Emission Monitoring System, is the latest generation software solution used as an alternative to traditional analytical instrumentation.

It uses the most sophisticated and innovative mathematical techniques, statistics and IT infrastructure in order to improve and maximize the effectiveness of the prediction.

Automatic acquisition of process variables used for prediction
Integration with control, automation and supervision systems through the most popular communication protocols
Real-time validation of sensors and process variables
Implementation of inferential computation and historical analysis libraries
Creation of a neural model with self-learning and diagnosis capabilities
Transmission of predictions to automation systems
Calculation of performance indices according to EPA Performance Specification 16 and other recognized standards
Publication of the results in graphical and tabular form on specific WEB pages
Quick and flexible setup
Innovative and profitable solution in economic and maintenance terms

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PROFILE

PEMS is

Sustainable

As recognized by the environmental authorities, it meets the requirements imposed by the law in terms of analysis and continuous recording of emissions.

Technological

Based on the most sophisticated mathematical modeling techniques such as neural networks, it is able to implement self-learning logics for the reconciliation of the predictive model.

Safe

The system offers a diagnostic and alarm service via SMS or e-mail for high criticality reports.

Versatile

The high level of abstraction makes it flexible and suitable for any type of system.