Chinese mitten crab freshness damage-free detection method based on semi-supervised identification projection

A non-destructive testing and hairy crab technology, applied in the direction of neural learning methods, testing food, material inspection products, etc., can solve the problems of not considering the sample category information, poor repeatability, and inconspicuous clustering effect

Active Publication Date: 2017-04-19
CHANGSHU INSTITUTE OF TECHNOLOGY
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Linear dimensionality reduction algorithms such as PCA and LDA are characterized by linearly mapping high-dimensional data to a low-dimensional subspace in the form of matrix operations. The advantage is that the learning process and dimensionality reduction process have low computational complexity and fast operation speed. The disadvantages are Dimensionality reduction is not effective for data that is essentially a nonlinear distribution
The clustering effect obtained by clustering-based Cluster-then-Label is not obvious when the sample size is large
However, nonlinear dimensionality...

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
  • Chinese mitten crab freshness damage-free detection method based on semi-supervised identification projection
  • Chinese mitten crab freshness damage-free detection method based on semi-supervised identification projection
  • Chinese mitten crab freshness damage-free detection method based on semi-supervised identification projection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] A non-destructive detection method for hairy crab freshness based on semi-supervised discriminative projection, which includes the following steps:

[0065] (1) Put the purchased hairy crab samples at room temperature to warm up for 2 hours, then place the warmed hairy crabs in a 500ml beaker, seal the mouth of the container with foil paper, and let the gas emitted fill the whole body with headspace for 40 minutes container. At the same time, turn on the power of the self-made electronic nose device, and preheat the sensor array for 30 minutes. Hairy crab samples are crab products belonging to the same species and in the same state.

[0066] The self-made electronic nose device is mainly composed of a sealed air chamber, a two-inlet and one-outlet three-way solenoid valve, a micro air pump, an air pipe, and a sensor array. Machines and other components constitute circuit modules. The core of the gas module is the sensor array, which contains 7 metal-semiconductor gas...

Embodiment 2

[0101] Taking the judgment of the freshness level of hairy crabs in Yangcheng Lake as an example, a non-destructive detection method for freshness of hairy crabs based on semi-supervised discrimination projection proposed by the present invention is adopted. The specific detection flow chart is as follows figure 1 shown. The specific steps are as follows:

[0102] (1) Purchase 60 fresh hairy crab samples from Yangcheng Lake Market, weighing 105 ± 5g, quickly transport them to the laboratory with an insulated bucket and ice cubes, and place them in a refrigerator with a temperature of 4°C and a humidity of 90%, and make good label. The odor information of 50 samples was collected by electronic nose device every day, and the detection continued for 9 days. Each sample was sampled once a day, and each collection time was 100 seconds. figure 2 One of the sample data for the fifth day. From figure 2 It can be seen that the response curves of different sensors in the sensor ar...

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 Chinese mitten crab freshness damage-free detection method based on semi-supervised identification projection. The detection method includes: pre-processing a sample and pre-heating an electronic nose apparatus; sampling the sample by deeply putting a sample needle of the electronic nose apparatus into a beaker; collecting smell data collected by a sensor array in the electronic nose apparatus, pre-processing the data, and performing character recognition process to the pre-processed sensor original data. In the method, low-dimension feature vectors extracted through the semi-supervised identification projection algorithm serves as an input mode vector of a self-organizing feature mapping neural network, thereby forming a prediction model for level of freshness of the Chinese mitten crabs. The method is used for damage-free detection of the sample and is greatly improved in detection precision, and can achieve quick and damage-free detection on the quality of the Chinese mitten crabs.

Description

technical field [0001] The invention provides a hairy crab freshness nondestructive detection method based on semi-supervised discrimination projection, and relates to the technical field of detection methods. Background technique [0002] Hairy crab is a famous delicacy because of its delicious taste and rich nutrition. It is widely distributed not only in my country, but also in Europe and North America. But for the hairy crabs that are not fresh, due to the decomposition of their own enzymes and the growth of various bacteria, the meat of the hairy crabs will deteriorate, causing sour and smelly fermentation, and slowly volatilize nitrogen-containing products, amines, ammonia, and alcohols And sulfur-containing products and other gases with corrupt characteristics, sometimes even produce toxic substances such as histamine, which cannot be destroyed under high-temperature cooking. If food poisoning is caused by eating, the consequences will be unimaginable. [0003] At pr...

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
IPC IPC(8): G01N33/12G06N3/08
CPCG01N33/12G06N3/08
Inventor 朱培逸杜洁徐本连鲁明丽施健吕岗
Owner CHANGSHU INSTITUTE OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap