Water Treatment

Permanganate Dose Predictor

Combine seasonal AI baselines with today’s raw-water readings to dial in confident permanganate feed targets.

Quick Start Checklist

Follow these steps so the model can return a confident recommendation.

  1. Seasonal preset: Choose the profile that best reflects today’s source water conditions.
  2. Input parameters: Enter raw water quality data from the most recent grab or online instruments.
  3. Request prediction: Select Predict Optimal Dose to run the AI model against your inputs.
  4. Apply & verify: Use the suggested dose, then confirm plant response with routine monitoring.
  5. Document: Capture the output for compliance records and future model refinements.
💡 Model insight: Trained on 3.5 years of plant history, the model averages ±0.08 mg/L accuracy when source data is within range.

Seasonal Presets

Start with Northglenn’s typical seasonal conditions, then fine-tune with your latest lab results.

Water Quality Inputs

Provide the latest lab values and observations to tailor the prediction to today’s conditions.

Primary driver of permanganate demand
Competes with manganese for permanganate
Organic matter consuming permanganate
Affects permanganate reaction kinetics
Higher temperatures increase reaction rates
Influences raw water turbidity and organics