Intelligent regulation and control method and system for tobacco leaf storage environment

Through comprehensive sensor data analysis and equipment hierarchical configuration, the dynamic identification problem of environmental control in tobacco leaf storage is solved, dynamic identification and layered regulation of environmental sensitive points are realized, the quality stability of tobacco leaf is improved, and the risk of quality deviation is reduced.

CN120491731AInactive Publication Date: 2025-08-15SICHUAN JINYE BIOLOGICAL CONTROL CO LTD
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Patent Information

Application Number
CN202510979680.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-16
Publication Date
2025-08-15
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the existing tobacco leaf storage technology, there is a lack of joint identification of stacking density, local ventilation status and variety stage parameters, which makes it difficult for environmental control methods to meet the precise management of variety diversity and dynamic changes, resulting in the color change, moldiness, and flavor loss of tobacco leaves in some areas.

Method used

By integrating multi-type sensor data, the temperature, humidity, oxygen concentration and stacking density are analyzed, the abnormal characteristics of the airflow structure are identified, and the response sequence of equipment is arranged in a graded manner, dynamic identification and layered regulation of environmental sensitive points are realized, and combined with the adjustment of parameter trends after regulation, a closed loop of environmental regulation is formed with three-dimensional, hierarchical and dynamic feedback.

Benefits of technology

It enhances the long-term quality stability of various varieties of tobacco leaves in the storage space, reduces the risk of quality deviation caused by environmental disturbances, and promotes the adaptability of tobacco leaves environmental regulation.

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Abstract

The invention relates to the technical field of tobacco leaf storage, in particular to an intelligent regulation and control method and system for a tobacco leaf storage environment, and the method comprises the following steps: based on a tobacco leaf storage bin, fusing temperature, humidity and oxygen concentration sensor data, obtaining environment characteristics, analyzing airflow velocity and stacking density, identifying abnormal regions, counting variety deviation, and carrying out the control grading of associated equipment. And environment regulation and control are optimized. According to the method, multiple types of sensor data are integrated, the environment states of different storage partitions are reflected through space correlation and weighting operation, the sensitive partitions with local abnormity are effectively locked by means of correlation analysis of airflow and stacking density, tobacco variety characteristics and storage stage parameters are combined, grading dynamic recognition of environment sensitive points is achieved, and the method is suitable for large-scale popularization and application. The equipment response sequence is configured in a layered manner, and the regulated and controlled parameter trend adjustment operation is combined, so that the long-term quality stability of various tobacco leaves in the storage space is enhanced, and the quality deviation risk caused by environmental disturbance is reduced.
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