Method for dynamically adjusting the control of the fluid extraction of a product

The method dynamically adjusts drying and draining conditions using real-time modeling and automatic parameter adjustments, addressing the variability in manual processes and reducing energy consumption in the food industry.

WO2026104366A1 Publication Date: 2026-05-21CLAUGER
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Patent Information

Application Number
PCT/EP2025/082510
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2025-02-06
Filing Date
2025-11-10
Publication Date
2026-05-21

AI Technical Summary

Technical Problem

Current drying and draining processes in the food industry, such as for cured meats and cheeses, rely heavily on manual adjustments by operators based on visual and olfactory observations, leading to variations in product quality and high energy consumption, as fixed models do not account for real-world variations and lack integration of human observations.

Method used

A method and system for dynamically adjusting drying or draining conditions through real-time modeling and automatic adjustment of parameters, incorporating both quantitative and qualitative data to achieve product quality and optimize energy efficiency, using real-time measurement and predictive control to maintain target profiles.

Benefits of technology

Ensures consistent product quality by integrating operator feedback and sensor data, reducing energy consumption, and optimizing energy use, thereby improving the efficiency and reliability of drying and draining processes.

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Abstract

A method for dynamically adjusting the control parameters of the extraction of products stored in a chamber: - an initial phase (100) comprising: * determining a weight-loss target profile (101) for the product, * determining the corresponding climatic extraction conditions (102); - an extraction phase (200) comprising: a / applying the climatic conditions (201); b / measuring quantitative data (202); c / establishing the actual weight-loss profile (203); d / establishing a predictive weight-loss profile (204) based on the quantitative data; e / automatically adjusting the climatic conditions (205) if a predefined deviation between the target profile and the actual profile or the predictive profile is observed, and applying these adjusted climatic conditions; f / implementing steps b / to e / until the end of the extraction cycle.
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