A traditional Chinese medicine quality data management and control method and system based on data mining
By installing sensors in the equipment used in the production process of traditional Chinese medicine (TCM), a data tree for the production of prescriptions and a data chain for the quality of TCM are established. Data mining and infrared spectroscopy techniques are then used for analysis, which solves the problem of incomplete data in the quality control of TCM and enables precise control of TCM quality and standardization of the production process.
Patent Information
- Application Number
- CN202511122322.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-12
- Publication Date
- 2026-07-03
- Estimated Expiration
- 2045-08-12
AI Technical Summary
In existing technologies, the quality control methods for traditional Chinese medicine rely on experience-based judgment and physicochemical index testing, which cannot fully reflect the intrinsic nature of the overall quality of traditional Chinese medicine. They also suffer from problems such as incomplete data, low information utilization, and difficulty in dynamic traceability.
By installing various sensors at the equipment used in the production process of traditional Chinese medicine (TCM), historical TCM prescription data is acquired, a prescription production data tree and a TCM quality data chain are established, and data mining and infrared spectroscopy techniques are used for analysis to construct a TCM quality control data chain, thereby achieving precise control over real-time TCM prescription data.
It improves the efficiency and accuracy of TCM quality analysis, enables the visual tracking of TCM production process, supports matching between multiple prescriptions, enhances the universality and stability of TCM quality control, and improves the standardization of the production process.
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Figure CN121011369B_ABST
Abstract
Citation Information
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