AIFLO
Industrial Process Optimization & Predictive Modeling
All systems FLO. AIFLO leverages plant data to push efficiency, quality, and cost outcomes beyond the boundaries set by conventional theoretical first-principles simulations. Utilizing empirical data, AIFLO unearths deep insights to uncover hidden avenues of continuous process improvement.
What AIFLO Does
01
Empirical Plant Optimization
Unearths insights from the very depths of your data using empirical data to uncover hidden avenues of process improvement.
02
Continuous & Batch Forecasting
Accurately predicts process outcomes in a continuous plant or in a batch process, for every batch, and every production line down to the equipment level.
03
Data Cleansing & Validation
Features an exclusive data cleansing and processing module that organizes raw data into meaningful inputs.
04
Automated Control & Alerting
Capable of fully controlling process variables on its own, and generates email and cellphone alerts for any deviations from predictions, process disturbances, and data anomalies.
How It Fits Your Plant
1. Plant Inputs
Talks to your historian and your control system. It syncs with every process within your system by utilizing your plant’s historic data alongside real-time data feeds.
2. AIFLO Engine
Combines unique machine learning models built base-up. It remains sensitive to every variable that theoretical models exclude, including time of day, machinery performance history, and ambient temperature.
3. Operational Outputs
Offers a data visualization module with a vast variety of customizable dashboard graphics that bring to life predicted and actual trends, allowing you to effortlessly foresee areas of improvement.
Key Operational Benefits
Empirical intelligence designed for immediate adoption by control room console operators and process engineering teams.
Optimized production yield with reduced energy and raw material waste
Performance Analysis and Forecasting
Root Cause Analysis and Troubleshooting
Shutdown Planning
Product Mix Evaluation
Ready to deploy on your operating data?
Our process engineers work alongside your team to evaluate existing historian tags and configure a pilot model in weeks.
AIFLO Frequently Asked Questions
How does AIFLO integrate with existing control systems?
It talks to your historian, it talks to your control system, and it talks to you, fitting seamlessly into your setup.
Can AIFLO run in autonomous control?
Yes, AIFLO is not only capable of fully controlling process variables on its own, but can also generate email and cellphone alerts for any deviations from predictions or process disturbances that it observes.
How does AIFLO handle and visualize data?
AIFLO has its own data cleansing and processing module that organizes raw data into meaningful inputs, paired with a visualization module offering customizable dashboard graphics to track predicted and actual trends.
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