Industrial Analytics for Dairy Production

Ensure quality, food safety, and resource efficiency in every step of dairy processing with TrendMiner.

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Ensure quality, food safety, and resource efficiency in every step of your process with TrendMiner.

Energy

Optimizing energy consumption in dairy processing

Why it's relevant

Inlet & outlet temperatures control moisture removal, airflow ensures uniform drying, feed rate prevents overloading, and atomization pressure regulates droplet size. Together, these parameters optimize drying efficiency, energy use, and product quality.

Why TrendMiner

Identify ideal temperature ranges to balance moisture removal and energy use. Set alerts to prevent over or under-drying
Analyze & correlate droplet size for uniform flocculation & powder quality
Use real-time monitors to maintain stable drying conditions

Quality

Ensuring product quality in dairy processing

Why it's relevant

Moisture affects flowability, shelf life, and quality. Spray dryers remove excess moisture (3-5%), ensure uniform drying, and improve handling with floccules.

Why TrendMiner

Identify correlated variables influencing moisture, define ideal ranges for manipulated variables, set alarms for deviations, and use tracking/reporting to maintain optimal conditions.

Safety

Ensuring product safety in dairy processing

Why it's relevant

Pasteurization is a Critical Control Point, influencing directly consumers' health, as it eliminates harmful microorganisms. As well, CIP Systems prevent cross-contamination through effective cleaning, being the source of many foodborne outbreaks.

Why TrendMiner

We can diagnose and analyze pasteurization issues, reducing downtime and maintaining the minimum required temperature. For CIP processes, it also enables the creation of a reference "ideal CIP" pattern to ensure contamination-free operations.

Maintenance & fouling

Preventing fouling in dairy processing

Why it's relevant

The milk production process relies heavily on heat exchangers and evaporators to remove water. This makes fouling a critical issue, as milk residues can accumulate on surfaces, leading to frequent maintenance stops and unexpected downtime.

Why TrendMiner

With TrendMiner, we can calculate the U coefficient, identify ideal correlations between variables, and detect anomalies in heat transfer, enabling data-driven, preventive maintenance to avoid unexpected downtime.