AI-Based Process Optimization
Send your plant data and receive insights that improve throughput, stability and efficiency. SingularProcess uses data-driven analysis and dynamic simulation to identify process improvement opportunities in circuits such as thickeners, filtration, pumping systems and slurry transport.
What the analysis can reveal
Process bottlenecks
Identify limitations that reduce plant throughput.
Operating windows
Determine optimal ranges for flow, density and reagent addition.
Control improvements
Suggest better control strategies and tuning.
Equipment limits
Detect hydraulic, density or residence-time constraints.
Energy efficiency
Identify unnecessary pumping or mixing energy.
Optimization scenarios
Test alternative operating strategies using simulation.
Typical data required
Process measurements
- Feed flow
- Feed solids concentration
- Underflow density
- Overflow solids
- Flocculant dosage
- Pump flow or pressure
Optional supporting data
- PFD or P&ID
- Equipment sizes
- Historian trends
- Batch test results
- Settling test data
Example CSV format
timestamp,feed_flow_m3h,feed_solids_pct,flocculant_gpt,underflow_density,overflow_solids_ppm 2025-01-01 10:00,120,18,45,1.45,120 2025-01-01 10:05,118,19,50,1.47,110 2025-01-01 10:10,122,17,45,1.44,130
CSV or Excel export from SCADA or historian systems is typically sufficient.
How to submit data
Large datasets can be sent using cloud storage or secure transfer.
- Dropbox
- OneDrive
- Google Drive
- SFTP
- Email (small datasets)