Unattended AI intelligent biological fermentation tank and control method

By constructing metabolic fluid fingerprint sequences and morphological abnormality warning sequences using an AI-powered intelligent bio-fermentation tank, and combining them with the topology of the metabolic reaction network, metabolic blockage points are accurately located and synergistically regulated. This solves the problems of control lag and insufficient multivariate optimization in existing technologies, thereby improving the stability of the fermentation process and the yield of products.

CN122266478APending Publication Date: 2026-06-23SHANDONG MEDLONG MASCH CO LTD
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Patent Information

Application Number
CN202610456773.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-08
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing bio-fermentation control systems are unable to achieve proactive intervention, cannot effectively identify the correlation between changes in cell morphology and metabolic flux, resulting in insufficient ability to identify key states such as metabolic blockade, and lack of multivariate collaborative optimization capabilities, leading to lagging control adjustments and low production efficiency.

Method used

An AI-powered intelligent bio-fermenter is used to acquire images of key metabolite concentrations and microscopic morphology of cells within the tank. This allows for the construction of metabolic flow fingerprint sequences and morphological abnormality warning sequences. By combining these with the metabolic reaction network topology, metabolic blockage points are identified and metabolic imbalance indices are calculated, enabling coordinated regulation of feeding strategies, stirring shear force, and dissolved oxygen levels.

Benefits of technology

It improves the sensitivity and foresight of state perception, accurately locates metabolic blockage points, and enhances the stability of the fermentation process and product yield. It solves the problems of lagging and one-sided state monitoring in traditional control strategies, and improves production efficiency and product quality consistency.

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Abstract

The present application relates to the technical field of biological fermentation, in particular to an unattended AI intelligent biological fermentation tank and a control method, comprising: a key data acquisition module for acquiring a key metabolite concentration time sequence and a microbial microscopic morphology image sequence in the tank; wherein the microbial microscopic morphology image sequence contains branch degree and vacuolization characteristic data of mycelium / cells; a flow state feature extraction module for constructing a metabolic flow intensity curve based on the key metabolite concentration time sequence.The present application synchronously acquires the key metabolite concentration time sequence and the microbial microscopic morphology image sequence by constructing an in-vitro circulating sampling flow path, and performs time stamp alignment, and this dual perception mechanism can not only capture chemical changes of metabolites, but also can early warn cell stress response through microbial morphology, thereby improving the sensitivity and foresight of state perception, and solving the problems of state monitoring lag and one-sidedness.
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