PEMS
Software platform developed to accurately estimate pollutant concentrations in combustion processes or other industrial emissions, serving as an alternative or complement to traditional analytical instruments.
It uses advanced modeling techniques, artificial intelligence, and data processing to provide reliable and predictive emission forecasts.
Strengths
Predictions based on advanced models
PEMS (Predictive Emission Monitoring System) leverages neural models and sophisticated mathematical techniques to learn from process variables and generate accurate emission forecasts, with self-learning capabilities and continuous diagnostics.
- Automatic data acquisition: the system automatically integrates process variables from control, automation, and supervisory systems using widely adopted industrial communication protocols, ensuring a continuous and reliable data flow.
- Real-time validation: PEMS continuously checks the quality of input variables and can flag anomalies or out-of-range data, ensuring the robustness of the predictive model.
- Integration with automation systems: forecasts generated by the model can be shared with plant control and automation systems to support real-time process or regulatory strategies.
- Reporting and visualization: prediction results are displayed on intuitive web interfaces, both graphically and in tables, allowing immediate analysis and historical comparisons.
- Calculation of performance indices: PEMS calculates performance indicators according to recognized standards, such as EPA Performance Specification 16, and can integrate with other applicable standards for reporting results.
Advantages
Why Choose PEMS
