Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Rapid fruit texture non-destructive detection method and detection device

A detection method and fruit technology, applied in the direction of testing the hardness of materials, analyzing solids using sonic/ultrasonic/infrasonic waves, etc., to achieve the effect of improving prediction accuracy and adaptability and shortening time

Active Publication Date: 2015-04-29
杭州诺田智能科技有限公司
View PDF4 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the time-consuming problem of the existing laser Doppler vibrometer technology for fruit texture detection, the purpose of the present invention is to provide a fast and non-destructive fruit texture detection method and device, based on laser Doppler vibrometer technology, using shock vibration The method is used to quickly obtain the vibration information of the fruit, and at the same time combine the corresponding signal processing method and chemometrics method to establish a fruit texture prediction model to realize the rapid non-destructive detection of fruit texture

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
  • Rapid fruit texture non-destructive detection method and detection device
  • Rapid fruit texture non-destructive detection method and detection device
  • Rapid fruit texture non-destructive detection method and detection device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described below in conjunction with drawings and embodiments.

[0037] Such as figure 1 Shown, detection method of the present invention comprises the following steps:

[0038] Step 1) Collect the modeling sample set: select the same fruit of the same batch as the fruit to be tested as the test sample, and the fruits of the test sample are measured by all the following steps in turn; the test sample in step 1) includes at least 30 fruits.

[0039] Step 2) measure quality m: weigh one by one with electronic balance;

[0040] Step 3) Measuring the fruit shape coefficient SI: measure the diameter d and height h of the fruit three times at uniform intervals of 120° along the fruit equator and the direction of the "fruit stem-calyx" respectively, and take the average value as the diameter of the fruit and high Use the ratio of height to diameter as the fruit shape coefficient SI:

[0041] SI = ...

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 rapid fruit texture non-destructive detection method and a non-destructive detection device. The detection method comprises the following steps: acquiring a modeling sample set; determining the quality; determining the fruit shape coefficient; acquiring vibration response data; extracting vibration characteristic parameters; performing dimension reduction on the vibration characteristic parameters; determining a texture index value; and building a texture prediction model and measuring. The detection device comprises a vibration control system and a vibration signal acquisition system. According to the detection method and the detection device, an impact vibration mode is adopted to greatly shorten the fruit texture detection time by use of the laser Doppler vibration measurement technology, multi-vibration characteristic parameters combined with the fruit quality and the fruit shape are used as input parameters of the prediction model, and the prediction accuracy and the adaptability of the model can be improved.

Description

technical field [0001] The invention relates to a fruit detection method and device, in particular to a fast and non-destructive fruit texture detection method and device. Background technique [0002] my country is a large agricultural country with huge fruit output every year. However, the export rate of fruit is still very low because the detection and grading technology after fruit production is still relatively backward. At the same time, with the development of our country and the continuous improvement of people's living standards, people's requirements for the internal quality of fruits are also getting higher and higher. Texture, as a key indicator for judging fruit taste and maturity, is widely used in fruit planting, post-harvest preservation, post-harvest processing, and food evaluation. [0003] The traditional fruit texture detection method uses the puncture method. The main step is to use a hand-held hardness tester to insert the indenter into the fruit to a ...

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): G01N29/04G01N3/40
Inventor 应义斌张文崔笛
Owner 杭州诺田智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products