A tunnel type freezing equipment for bamboo shoot pre-processing products and a control system thereof

By using flexible flow guiding components and micro-mist humidification components, combined with flow field sensing arrays and deep learning models, the problem of uneven airflow distribution in tunnel-type freezing equipment was solved, achieving rapid and uniform freezing and quality consistency of bamboo shoot pre-processed products, and reducing moisture loss and mechanical damage.

CN121916613BActive Publication Date: 2026-07-24FUJIAN MINGLIANG FOODSTUFF CO LTD +1
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Patent Information

Application Number
CN202610379049.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-03-26
Publication Date
2026-07-24
Estimated Expiration
2046-03-26

AI Technical Summary

Technical Problem

Existing tunnel-type freezing equipment has many problems in terms of energy efficiency management, hygiene maintenance and product quality loss, including uneven airflow distribution leading to inconsistent core freezing temperatures of bamboo shoots, product moisture loss and mechanical damage.

Method used

By employing flexible airflow guiding components and micro-mist humidification components, combined with a flow field sensing array and a deep learning model, the airflow distribution is identified and optimized in real time. Through refined wind control and micro-mist humidification, moisture loss and mechanical damage are reduced, ensuring uniform freezing of bamboo shoots.

Benefits of technology

This technology enables rapid and uniform freezing of pre-processed bamboo shoots, reducing moisture loss and mechanical damage, improving product quality consistency and production continuity, and reducing reliance on manual experience.

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Abstract

The present application relates to a kind of bamboo shoot pre-processing product with tunnel type freezing equipment and control system, it is related to food processing equipment technical field, the present application can be real-time, intuitively identify the complex low wind speed dead angle area and airflow short circuit area in tunnel by the synergy of flow field perception array and three-dimensional space modeling, effectively solve the problem that bamboo shoot freezing core temperature is not consistent due to airflow distribution uneven, innovatively introduce product quality inspection parameter as the feedback constraint of deep learning model, can be according to the actual quality feedback of pre-processing product, reverse optimization flow field compensation strategy, while ensuring quick freezing, through fine control wind, reduce the water loss on the surface of bamboo shoot, simultaneously based on the flow field simulation compensation model of deep learning, can automatically analyze complex flow field distribution diagram and be converted into the deflection instruction of multi-dimensional actuator, reduce the dependence on artificial experience, ensure that different batches, different stacking density bamboo shoot can obtain optimal and uniform quick-freezing effect.
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