Supercharge Your Innovation With Domain-Expert AI Agents!

Python data fusion-based Tibetan medicine meconopsis integrifolia producing area discrimination method

A technology of Meconopsis entire margin and data fusion, applied in character and pattern recognition, measuring devices, material analysis through optical means, etc., can solve the limitations of inability to fully reflect the complex chemical composition of Tibetan medicinal materials, origin traceability and quality evaluation issues such as sex, to achieve the effect of improving the accuracy of origin discrimination and the recognition effect

Active Publication Date: 2022-03-01
CHINA ACAD OF SCI NORTHWEST HIGHLAND BIOLOGY INST
View PDF7 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the existing infrared spectral analysis methods are single spectral analysis methods, which cannot fully reflect the complex chemical components of Tibetan medicinal materials, and have certain limitations in origin traceability and quality evaluation.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Python data fusion-based Tibetan medicine meconopsis integrifolia producing area discrimination method
  • Python data fusion-based Tibetan medicine meconopsis integrifolia producing area discrimination method
  • Python data fusion-based Tibetan medicine meconopsis integrifolia producing area discrimination method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] In an exemplary embodiment, there is provided a method for discriminating the origin of Tibetan medicine Meconopsis entire margin based on Python data fusion, such as figure 1 As shown, the method includes:

[0055] Samples of Meconopsis whole-leaf from different origins were collected;

[0056] Collecting NIR spectra of the samples of Meconopsis entire from different origins to obtain NIR spectral data, and collecting ATR spectra on the samples of Meconopsis entire from different origins to obtain ATR spectral data;

[0057] Fusing the NIR spectral data and the ATR spectral data to obtain primary fusion data; using multiple classification methods to model the primary fusion data respectively, and comparing the classification effects of different models to obtain the classification method with the best classification effect;

[0058]Use Python software to extract the eigenvalues ​​of each spectral data in the primary fusion data, calculate the contribution of each eige...

Embodiment 2

[0064] Based on Example 1, a method for discriminating the origin of Tibetan medicine Meconopsis whole margina based on Python data fusion is provided, and the method also includes:

[0065] Select several classification methods with higher classification effects to model the intermediate fusion data respectively, and perform high-level fusion of the output results of multiple models, and the high-level fusion includes:

[0066] Weights are assigned to the output results of various models, a new decision-making method is constructed, and the physical and chemical properties of the sample molecules are analyzed according to the decision-making method. Among them, the output results of multiple models are voted, and each model obtains a voting prediction result, and then fuses the voting results to form a model to complete advanced fusion. This model can be called an advanced discriminant model. Using this advanced discriminant The model discriminates the origin of Meconopsis en...

Embodiment 3

[0069] Based on Example 1, a method for discriminating the origin of Tibetan medicine Meconopsis entire margin based on Python data fusion is provided, and the collection of samples of Meconopsis entire margin from different origins includes:

[0070] A total of 631 samples of Meconopsis whole leaf were collected from 14 different producing areas in Qinghai Province. Specifically, during the flowering period of Meconopsis entire margin, a total of 631 whole plant samples were collected from 14 different producing areas from south to north in Qinghai Province. The samples were first identified as Meconopsis entire margin, The samples were taken back to the laboratory to be washed, dried, crushed, passed through a 100-mesh sieve, and put into a desiccator for analysis.

[0071] Experimental equipment includes: iS50 Fourier Transform Infrared Spectrometer (Thermo Fisher, USA), equipped with near-infrared and ATR accessories, a sample cup with a diameter of 1.20 cm, and a desiccat...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a Tibetan medicine meconopsis integrifolia producing area distinguishing method based on Python data fusion, and belongs to the field of medicinal material detection.The method comprises the steps that NIR spectrum collection and ATR spectrum collection are conducted on meconopsis integrifolia samples of different producing areas, and primary fusion is conducted on collected NIR spectrum data and ATR spectrum data; modeling the data obtained by the primary fusion by using a plurality of classification methods, and comparing classification effects of different models; carrying out feature value fusion by utilizing Python software to obtain intermediate fusion data; and establishing an intermediate discrimination model according to the intermediate fusion data in combination with a classification method with the best classification effect, decision-making according to multiple methods with better primary fusion classification effects to form an advanced discrimination model, and discriminating the producing area of meconopsis integrifolia by using the discrimination model. According to the method, the meconopsis integrifolia is analyzed by combining an infrared spectrum technology with a Python data fusion method for the first time, rapid and accurate source tracing of the producing area of the meconopsis integrifolia is realized, and the distinguishing accuracy of the producing area is effectively improved.

Description

technical field [0001] The invention relates to the field of medicinal material detection, in particular to a method for discriminating the origin of Tibetan medicine Meconopsis entire margin based on Python data fusion. Background technique [0002] Meconopsis integrifolia (Maxim.) Franch. is a perennial herbaceous plant of the Papaveraceae Meconopsis genus, 30-60cm high, all covered with rust-colored and golden-yellow flat or recurved, with many short branches Villous hair, mainly produced in Tibet, Qinghai, Sichuan, northwestern Yunnan and Gansu, in alpine meadows and shrubs at an altitude of 3000-4800m. As a classic Tibetan medicine, Meconopsis entire margin is used as a medicine with dried whole herb, which has the effects of clearing heat and detoxifying, reducing inflammation and relieving pain, and is used to treat pneumonia, hepatitis, headache, edema and other diseases. [0003] The quality of medicinal materials is closely related to the ecological environment in...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/3563G01N21/25G06V10/80G06V10/764G06V10/774G06K9/62
CPCG01N21/359G01N21/3563G01N21/25G06F18/2148G06F18/24147G06F18/2411G06F18/24323G06F18/254G06F18/253
Inventor 孙菁李朵李佩佩龙若兰冯丹孟晓萍
Owner CHINA ACAD OF SCI NORTHWEST HIGHLAND BIOLOGY INST
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com