A traditional Chinese medicine quality detection method and system based on intelligent sensors

By constructing a full-lifecycle intelligent sensor network and adaptive neural network, the problems of data fragmentation and model rigidity in traditional Chinese medicine testing systems have been solved, enabling continuous dynamic monitoring of medicinal material quality and prediction of future trends, thereby improving the applicability and testing efficiency of the system.

CN122242610APending Publication Date: 2026-06-19ZHEJIANG CHINESE MEDICAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG CHINESE MEDICAL UNIVERSITY
Filing Date
2026-03-10
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing TCM testing systems cannot achieve full-chain traceability and dynamic prediction. They suffer from fragmented data dimensions, rigid models, insufficient predictive capabilities, poor generalization ability when facing new environments and models, inability to track the quality evolution process, and low testing efficiency.

Method used

A smart sensor network covering the entire life cycle of Chinese medicinal materials is constructed. Data is collected in real time through multimodal sensors. Combined with spatiotemporal correlation modeling and incremental machine learning, continuous dynamic monitoring and adaptive evaluation of the quality of medicinal materials are realized. The model structure can be expanded, and adaptive neural networks are used for quality prediction and traceability.

Benefits of technology

It enables continuous dynamic monitoring of medicinal material quality, improves the system's generalization ability and long-term applicability, can predict future decline trends, and provides production optimization data support through traceability and positioning.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention relates to the fields of artificial intelligence and intelligent sensing technology, and discloses a method and system for quality detection of traditional Chinese medicine based on intelligent sensors. The method deploys a multimodal sensor array covering five stages: planting, harvesting, processing, storage, and distribution. It collects multidimensional environmental and medicinal material data in real time, constructs a four-dimensional quality evolution tensor, extracts non-stationary changes and regional heterogeneous features through spatiotemporal convolution, and inputs this tensor into an adaptive evaluation network with a dynamic neuron proliferation mechanism to achieve quality scoring, shelf-life prediction, and risk identification. The system includes sensing modules for each stage, a data fusion center, a spatiotemporal feature engine, an adaptive network, and a traceability and early warning unit. This invention improves the real-time performance, predictive foresight, and system generalization ability of detection through full-cycle dynamic perception and autonomous model expansion, supporting accurate traceability and process optimization.
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