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Large melon and fruit internal quality near infrared spectroscopy online detection system and realization method

A technology of internal quality, realization method, applied in measurement devices, material analysis by optical means, instruments, etc.

Inactive Publication Date: 2018-03-23
SHIHEZI UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] To sum up, at present, at home and abroad, the use of near-infrared technology to detect fruit quality is mostly based on the analysis of spectral data to establish the correlation between spectral information and sample quality information, mainly focusing on melons and fruits (apples, pears, watermelons, etc.) Research on static detection of large melons and fruits, there are few reports on online detection of large melons and fruits

Method used

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  • Large melon and fruit internal quality near infrared spectroscopy online detection system and realization method
  • Large melon and fruit internal quality near infrared spectroscopy online detection system and realization method
  • Large melon and fruit internal quality near infrared spectroscopy online detection system and realization method

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Embodiment 1

[0020] Embodiment 1: with reference to attached figure 1 , 2 , 3, 4, this embodiment: including frame (14), screw conveying roller (11), spectrum collection chamber (8), light source fixing frame (9), halogen lamp light source (10), spotlight collimator ( 6), motor (6), optical fiber (4), spectrometer (2), computer (3), etc. The halogen light source (10) is installed on the C-type light source fixing frame (9); the C-type light source fixing frame (9) is installed on the frame of the spectrum collection room (8) through the adjustable connecting plate (15) and bolts and nuts above; the screw conveying roller (11) is fixed on the frame through the bearing (18) and its support; Power is provided by the conveying system; the condensing collimating mirror (6) is installed on the collimating mirror support rail (5), and its position is adjusted to be directly below the center of the spectrum collection chamber (8); the optical fiber (4) is connected to the condensing collimator ...

Embodiment 2

[0021] Embodiment 2: System online detection process: After the spectrometer is initialized, turn on the spectrometer, perform parameter setting, respectively set the integration time, the cumulative number of discrete spectrum acquisitions, and the number of smoothing points, then obtain the spectral curve, extract a single band and spectral value, and judge whether it is less than the set value. A certain threshold (since the melons and fruits are not transported directly above the condenser collimator, the near-infrared light directly hits the condenser collimator, the threshold is the largest at this time), otherwise re-extract a single band and spectral value, if the data Collect, extract a single band and spectral value again, judge whether it is greater than the set threshold, otherwise re-extract a single band and spectral value, save the data, perform average calculation, and save the current spectral data. Enter the software system, import the spectral data required f...

Embodiment 3

[0022] Embodiment 3: The method for establishing the detection model: obtain the physical and chemical true value of the sugar content and the original static spectrum and dynamic spectrum through experiments, use a variety of methods to preprocess the original static spectrum and dynamic spectrum, and randomly divide the preprocessed spectrum into Calibration set and prediction set, using the calibration set to establish a visible-near-infrared spectrum model of sugar content of melons and fruits, and inputting the prediction set into the model to obtain the prediction results. The prediction results are characterized by the stability and accuracy of the model through R and RMSEP indicators.

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Abstract

The invention relates to a near infrared spectroscopy online detection system and an realization method thereof, and especially relates to a large melon and fruit internal quality near infrared spectroscopy online detection system and a realization method thereof, wherein the system comprises a rack, a spiral conveying roller, a spectrum collection chamber, a light source fixing frame, a halogen lamp light source, a light-concentrating collimating lens, a motor, an optical fiber, a spectrometer, and a computer; the angle-adjustable light source fixing frame is designed; through angle adjustment, a light source route can be conveniently adjusted, so that rays of the light source are subjected to diffused transmission to pass through melons and fruits, the rays of the light source are refracted to the light-concentrating collimating lens, infrared rays are transmitted into the spectrometer through the optical fiber, collected spectra are processed and analyzed through the computer, and the zero-damage detection of the melon and fruit internal quality can be realized; at the same time, with combination of the spiral conveying device, the device can achieve online detection of the melon and fruit internal quality, and is suitable for grade detection of field and head land Hami melon and other large melons and fruits.

Description

technical field [0001] The invention relates to a near-infrared spectrum online detection system and its implementation method, in particular to a near-infrared spectrum on-line detection system and its implementation method for the internal quality of large melons and fruits, belonging to the field of agricultural product intelligent detection equipment. Background technique [0002] my country is a large country of fruit production and consumption. With the improvement of people's living standards, higher requirements are put forward for the quality of fruits. A simple and effective method for nondestructive testing of fruits is urgently needed. At present, relevant scholars at home and abroad have done relevant research on the grading detection technology of large melons and fruits. [0003] Lammertyn et al. (2000) compared three different probes to test the near-infrared spectral reflectance characteristics of Jonadold ​​apple soluble solids. The results showed that in t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/3563
CPCG01N21/359G01N21/3563
Inventor 张若宇翟志强毕智健吴业北金作徽
Owner SHIHEZI UNIVERSITY
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