Industrial Analytics
for Dairy Production

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

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Explore our solutions:

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

Optimizing energy consumption in dairy processing
Why 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:

Balance production lines by calculating real-time usage rates of surrounding units from tank levels or flowrates. Determine if CIP can proceed safely or adjust extraction speed to maintain continuous, efficient operation without stoppages.

Ensuring quality in dairy processing
Why 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:

Enable real-time monitoring and anomaly detection in boilers and extraction units to detect issues early. Leverage dashboards and ContextHub historical data to identify deviations, correct them fast, and prevent process failures.

Optimizing safety in dairy processing
Why Relevant:

Pasteurization is 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

TrendMiner’s Solution:

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

Preventing fouling in dairy processing
Why 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.

TrendMiner’s Solution:

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.

Dairy Processing Steps

Dairy processing from raw milk to final product.

free guide

7 Ways to Reduce Energy Consumption in Your Dairy Plant with TrendMiner

A practical guide for process engineers and plant managers in dairy processing.

A platform where human intelligence meets advanced analytics

Fast & intuitive

Access and explore data effortlessly with a user-friendly platform for the whole team.

Advanced analytics

Empower everyone to generate insights with powerful analytics to drive data driven decisions.

Reporting & collaboration

Share insights, collaborate across teams, and create personalized dashboards to track progress.

Monitoring & alerts

Keep your plant and assets running smoothly with 24/7 monitoring and instant alerts.

Data contextualization

Transform time-series data into meaningful events in your enhanced data layer.

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Latest resources

Explore Our Newest Content to Maximize Your Operational Efficiency

Guide

7 Ways to Reduce Energy Consumption in Your Dairy Plant with TrendMiner

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Use case

Reducing Spoilage and Costs with Data-Driven Milk Truck Management

Maximize throughput and resource efficiency through effective process order management, inventory alignment, and performance monitoring (OEE), ultimately to minimize waste and optimize operations.

Use case

Standards Monitoring in Pasteurization

Maximize throughput and resource efficiency through effective process order management, inventory alignment, and performance monitoring (OEE), ultimately to minimize waste and optimize operations.

Use case

Pasteurization Unit Control & Optimization

Maximize throughput and resource efficiency through effective process order management, inventory alignment, and performance monitoring (OEE), ultimately to minimize waste and optimize operations.

process engineers working with industrial analytics software in a factory

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