AI modules

Is Your Feed Mill Ready for an AI Control System?

For two years, ICM has been developing, training, implementing, and evaluating an AI-driven control system for feed milling — across both batching and pellet line operations. It involved many iterations, false starts, and refinements, but the outcome: significant, measurable improvements in throughput, efficiency, and consistency.

1. Process Engineering (40%) Boots on the ground:

Detailed measurement and timing
Instrument and sensor upgrades
Electrical and mechanical adjustments
Continuous testing and refinement

Process Engineering (40%)

Boots on the ground: – Detailed measurement and timing
– Instrument and sensor upgrades
– Electrical and mechanical adjustments
– Continuous testing and refinement

Critical to giving the AI reliable data and plant.

Hearts and Minds (20%)

Technology only works if people trust it. Operators needed to see that AI was not about replacing them — it was about empowering them. The goal was to remove firefighting and allow operators to focus on quality, maintenance, and continuous improvement.

Software & AI (40%)

– Data cleaning and validation
– Rule definition
– Machine-learning models
– Inference engines
– Control system integration
– Training, testing, and refinement

Ironically, software was the easy part. The challenge is defining the correct objective. AI that perfectly understands the wrong goal will give you perfectly wrong results.

The Results – performance gains speak for themselves:

Batching optimised to 90 TPH
Three pellet lines each delivering a consistent 18 TPH
Pellet lines no longer running idle
Cooling air optimised
Product changeovers minimised
Meals consistently meeting dispatch times
Meals consistently meeting dispatch times
Operator intervention for AI-requested actions only

Batching

AI’s primary task is to keep the pellet lines continuously fed while balancing
meals production to meet dispatch schedules. It manages:

Smart scheduling
Smart weighing
Grinder feed and air optimisation

How the System Works

Starting with the production scheduler, for delivery requirements and deadlines. The AI system then takes control.

Pelleting


AI’s focuses on maximising throughput and minimising downtime:
– Lines start automatically when material is available.
– Seamless changeovers between pre-bins and products.
The objective: Run each line at maximum sustainable TPH, all the time.

Testimonials

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