Industrial Analytics for Sugar Production

Unlock yield and optimize energy use across your entire sugar process

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

Quality & yield

Maximizing quality & yield

Why it's relevant

Proper cooling and agitation are crucial for correct sugar crystallization. Inadequate supersaturation causes product defects or excess molasses, leading to reduced yield and inconsistent quality.

Why TrendMiner

Compare crystallization vessels and stirring conditions to identify differences and bottlenecks. Overlay and align batch profiles to analyze performance, ensuring stable crystallization and consistent product quality.

Energy

Optimizing energy efficiency

Why it's relevant

High energy consumption impacts efficiency and profitability. Optimizing steam, gas, and vacuum usage is essential to improve overall energy efficiency and significantly reduce operational costs.

Why TrendMiner

Identify ideal steam & gas stream ranges to optimize energy use
Calculate & monitor the U coefficient in real time to conduct data-driven fouling maintenance
Overview dashboards with power generation and usage

Waste & losses

Minimizing waste & losses

Why it's relevant

Inefficient extraction leaves excess sugar in the pulp, lowering yield and increasing waste. Precise moisture control is essential to enhance recovery and overall process efficiency.

Why TrendMiner

Continuous monitoring and reporting of moisture levels, ensuring real-time adjustments for consistent product quality Track extracted pulp, separated water, and overall yields, comparing data across different campaigns to optimize efficiency and resources.

Time optimization

Production time optimization

Why it's relevant

Dull blades and uneven cossettes hinder extraction efficiency, increasing processing time and reducing overall yield and performance.

Why TrendMiner

Analyze correlations between blade dullness and uptime to compare mill performance. Monitor dullness trends to identify how blade wear impacts cutting quality, sieve clogging, and overall extraction efficiency.

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