PEMS.ai
Hassle-free compliance monitoring, analysis, insights, and reporting all from one beautiful platform.
Compliance Monitoring Simplified
BUILT TO THE HIGHEST STANDARDS
With growing environmental concerns, environmental agencies and governments around the globe are taking major steps towards reducing emissions, and holding organizations accountable. Our solutions are built to satisfy the most stringent regulations anywhere. From the US EPA to Singapore NEA, we can do it all.
HIGH ACCURACY AT ALL CONDITIONS
Data Access Anytime, Anywhere
SECURITY INSIDE AND OUT
FLEXIBLE DEPLOYMENTS, SEAMLESS ACCESS
Interactive Dashboard Custom Reports
THE POWER OF DATA AT YOUR FINGERTIPS
AI POWERED INSIGHTS
As PEMS.ai learns about your operations and processes, our powerful AI engine generates valuable insights into your operations and suggests possible improvements. Track the health of your critical sensors and get alerts on early signs of failure.
Want to see how it works?
Check out our video below
Download our product sheet here
Frequently Asked Questions
Predictive Emissions Monitoring Systems (PEMS) are a software-based solution for emissions monitoring. PEMS is generally regarded as a cost-effective alternative to traditional hardware based Continuous Emissions Monitoring Systems (CEMS). There are three main model types used in PEMS – neural networks, first principles, and statistical hybrid models.
PEMS.ai is a neural network based PEMS. Here is a brief explanation on how it works:
- Data Collection
First, Historical process and emissions data are collected. - Model Training
Next, Using deep learning techniques, the neural network learns correlations between the input process data and the emissions produced, building a predictive model. The model can be retrained easily as more data is collected, improving prediction accuracy. - Deployment
When deployed at a site, real-time process data is fed into the model and predicted emissions are generated. After that, an initial certification audit is performed where the predicted emissions are verified using reference methods (i.e: Mobile CEMS).
Compared to the CEMS, PEMS.ai has the following benefits:
- Low installation costs: fewer components and lower hardware requirements
- High performance: accurate, reliable and consistent emissions monitoring
- Low maintenance costs: minimal hardware, no moving parts
- Resilient: able to detect and alert sensor failures, and operate in such events
Compared to the other types of PEMS, PEMS.ai has the following advantages:
- Resilient to sensor/input failures
- Accurate predictions even on previously unseen input data
- Easily retrained and updated
- Provides optimization and improves efficiency
