Tea withering detection method and system based on ultrasonic attenuation

By constructing a tea withering detection system, and using ultrasonic signals and environmental parameters to invert the distribution maps of local moisture content and cell wall breakage rate, real-time, full-process monitoring and automated control of the tea withering process were achieved, overcoming the limitations of traditional detection methods and improving the consistency of tea quality.

CN121856404AInactive Publication Date: 2026-04-14NANJING UNIV OF FINANCE & ECONOMICS
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Patent Information

Application Number
CN202610322189.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-17
Publication Date
2026-04-14
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing methods for detecting tea withering rely on human sensory experience, which cannot monitor the withering process in real time and objectively, resulting in uneven withering and affecting the quality and economic value of the finished tea.

Method used

By collecting ultrasonic signals and environmental parameters, a thickness field matrix is ​​constructed. Using the characteristics of sound wave propagation and porosity correction factor, a physiological attenuation coefficient and a tissue structure damage index are generated. Combined with a spatiotemporal gradient coupling feature extraction network, the distribution maps of local moisture content and cell wall breakage rate are inverted to achieve targeted material control.

Benefits of technology

It enables real-time, full-process monitoring and automated control of tea withering, eliminating uneven withering and improving the consistency of tea quality and economic value.

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Abstract

The invention relates to the field of automatic detection of tea processing, and provides a tea withering detection method and system based on ultrasonic attenuation, and the method comprises the steps: synchronously collecting echo signals, position parameters and environment temperature, generating a stacking thickness field matrix through thermodynamic sound velocity compensation and cubic spline interpolation, and outputting porosity correction according to a rheological power law function; a transmission acoustic signal is collected by a time division multiplexing mechanism, a transmission amplitude field and a propagation time field are constructed through Hilbert transform and cross-correlation time delay estimation, average sound velocity distribution is constructed, and a physiological attenuation coefficient and a damage index are generated in combination with porosity correction; a composite feature vector is constructed, and the local water content and the cell wall breakage rate are solved through a space-time gradient coupling network; and generating a global regulation and control instruction in combination with the spatial weighted average moisture content and the accumulation thickness field matrix, and generating a fixed-point targeted raking instruction in combination with the abnormal displacement coordinates. According to the method, acoustic inversion and multi-dimensional closed-loop correction are fused, and digital perception and intelligent targeted regulation and control of the tea leaf withering process are constructed.
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