Intelligent baking method based on feedback adjustment of internal environment parameters of baking furnace

By collecting data in baking equipment and using the Kalman filter algorithm and linear regression model, coordinated adjustment of temperature, humidity and gas concentration is achieved, which solves the problem of unstable baking quality in existing equipment and improves the quality and consistency of food baking.

CN120686935AActive Publication Date: 2025-09-23FOSHAN SHUNDE OLI BAKERY FOOD MASCH CO LTD
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Patent Information

Application Number
CN202510878262.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-27
Publication Date
2025-09-23
Estimated Expiration
2045-06-27

AI Technical Summary

Technical Problem

Existing baking equipment has difficulty in achieving coordinated adjustment of multiple environmental parameters during the baking process, resulting in unstable baking quality and inability to make real-time adjustments based on actual conditions.

Method used

By collecting baking environment data, using the Kalman filter algorithm to generate a smooth temperature state estimate, calculating the temperature uniformity index, and combining it with humidity and gas concentration data, generating adjustment parameters for heating power, humidification amount and ventilation rate, the coordinated adjustment of temperature, humidity and gas concentration is achieved.

Benefits of technology

It improves the quality stability of the baking process, ensures the temperature uniformity and the dynamic regulation of humidity and gas concentration, and improves the quality consistency of food baking.

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Abstract

The invention discloses an intelligent baking method based on baking furnace internal environment parameter feedback adjustment, and belongs to the technical field of data processing, and the method comprises the steps: generating a smooth temperature state estimator according to a temperature distribution matrix, and calculating a temperature uniformity index; if the temperature uniformity index exceeds a first preset threshold value, generating a heating power proportion based on the smooth temperature state estimator; calculating a humidity influence coefficient based on the heating power proportion and the humidity change sequence; if the fluctuation amplitude of the humidity change sequence exceeds a second preset threshold value, a humidification amount adjustment value is generated based on the humidity influence coefficient; the humidification amount adjustment value and the gas concentration value are processed, and heating power and ventilation rate set values are generated; a power and a fan speed for each heating element are generated based on the heating power and the ventilation rate setpoint. According to the intelligent baking method based on baking oven internal environment parameter feedback adjustment, the problem that the quality of baked food is unstable due to the fact that an existing baking oven adjusting system is difficult to achieve multi-parameter coordinated adjustment is solved.
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Citation Information

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