CN2733343Y - Internal non-destructive integral analytical equipment for agricultural products such as fruit and vegetable - Google Patents

Internal non-destructive integral analytical equipment for agricultural products such as fruit and vegetable Download PDF

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Publication number
CN2733343Y
CN2733343Y CN 200420050892 CN200420050892U CN2733343Y CN 2733343 Y CN2733343 Y CN 2733343Y CN 200420050892 CN200420050892 CN 200420050892 CN 200420050892 U CN200420050892 U CN 200420050892U CN 2733343 Y CN2733343 Y CN 2733343Y
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China
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agricultural products
fruit
light
destructive
analytical equipment
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CN 200420050892
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Chinese (zh)
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严衍禄
严红兵
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Abstract

The utility model provides an internal non-destructive integral analytical equipment for agricultural products such as fruit and vegetable, comprising a light source system, a filter and an imaging system. The internal non-destructive integral analytical equipment for agricultural products such as fruit and vegetable can light different agricultural products in different angles, and light permeating specimens can enter a spectrometer (light source is chromatic) or a detector (light source is monochromatic)as much as possible via lens imaging function for utilizing visible-near infrared spectroscopy to analyze the quality of the agricultural products. The time of analyzing a specimen takes second as unit via matching chemometrics. Non-destructive, quick and multicomponent simultaneous detection can be obtained for detecting the quality of the agricultural products such as fruit and vegetable via the utility model, the internal non-destructive integral analytical equipment for agricultural products such as fruit and vegetable is favorable to the selection of fruit or the non-destructive, quick and multicomponent detection for agricultural products separation production line, and the internal non-destructive integral analytical equipment for agricultural products such as fruit and vegetable can be also used for quickly analyzing the quality of the agricultural products in manufacture field and sale site.

Description

The inner non-destructive holistic approach of fruits and vegetables agricultural products device
Technical field
The utility model belongs to the instrumental analysis field, relates in particular to a kind of non-destructive holistic approach device that fruits and vegetables agricultural products inside quality is analyzed that is used for.
Background technology
The analysis of bigger agricultural product (as fruit, vegetables etc.) inside quality comprises the analysis of projects such as pol, acidity, moisture, disease, insect pest.The method of conventional analysis generally need be with destructive wet-chemical analysis method (promptly its content be measured with manual method after adding reagent by sample preparation in sampling back), the time of analyzing a sample generally need be hour be unit calculating, and this alanysis method can't be used for the online express-analysis on the agricultural product separation production line.With the visible-near-infrared spectrum analytical technology in conjunction with chemometrics method can non-destructive, the inside quality (as pol, acidity etc.) of agricultural product such as fast measuring fruit, but because fruit or vegetables volume are bigger, light intensity was low excessively after incident light saw through fruit, was difficult to carry out near-infrared spectrum analysis.
The utility model content
The purpose of this utility model is to provide a kind of device that can utilize near infrared technology that fruits and vegetables agricultural products inside quality is carried out the non-destructive holistic approach.
The utility model comprises light-source system and imaging system, its characteristics are: light-source system is made up of the lamp of monochromatic source identical or different more than 1, monochromatic source is selected semiconductor laser or semiconductor luminotron (LED pipe) for use, wavelength coverage is Visible-to-Near InfaRed spectrum district 400nm-1100nm, around testing sample, arrange, each lamp can be positioned at detected sample around, also can be positioned at the top of detected sample, the light that each lamp is launched is the center of directive sample all, the light emission direction of lamp is all adjustable in level and vertical direction position, the formed angle in the light emission direction of lamp and axis (line of sample center and detector centre is called the axis) is called the elevation angle, and the elevation angle can be transferred arbitrarily in 20 °-90 ° or 100 ° of-180 ° of scopes; Imaging system is made up of lens, and the diameter of lens and focal length will cooperate with detecting device, and its mid-focal length should select to make sample scioptics to be analyzed be imaged onto detecting device just or the light inlet slot of the spectrometer that is used to analyze, is positioned at the below of detected sample.
The utility model can also comprise optical filter, and being used for detecting device is grating spectrograph, and when grating spectrograph was operated in 600nm-1100nm, optical filter was used the cut-off type optical filter at 600nm place, disturbs with the secondary light of eliminating below the 600nm.
Described light source can be selected secondary color light sources such as halogen tungsten lamp for use, and wavelength coverage is Visible-to-Near InfaRed spectrum district 400nm-1100nm.
Described light source then needs detecting device to detect each monochromatic light by the light intensity behind the sample if adopt the monochromatic source of 400nm-1100nm; If light source adopts the secondary color light source, the spectrometer that then needs external 400nm-1100nm or wherein a part of spectrum district comes the spectrum of test sample as detection system.Detection system detects light intensity or the sample spectra by sample, is transferred to the corresponding data process software again and handles to draw the Q factor of test sample (fruit).
The utility model can be to the rayed of different agricultural product with different angles and intensity, utilize the lens imaging function to make, so that with near infrared technology anal yzing agricul products quality through as far as possible spectrometer (when light source is polychromatic light) or the detecting devices (when light source is monochromatic light) of entering of the light of sample more.It is unit with the second that fiting chemical metrology method makes the time of analyzing a sample.That the quality of utilizing the utility model to detect the fruits and vegetables agricultural products can reach is harmless, quick, polycomponent detects simultaneously, help being used for quick on fruit selection or the agricultural product separation production line, harmless, polycomponent detection, also can be used for production scene and the express-analysis of sale on-site agricultural product matter.
Description of drawings
Fig. 1 is a plan structure synoptic diagram of the present utility model;
Fig. 2 is a side-looking structural representation of the present utility model.
Embodiment
Below in conjunction with accompanying drawing the utility model is further specified:
As depicted in figs. 1 and 2,2 is detected sample (as fruit), above reaching around it, be separately installed with by 8 and 1 light source 1 that the high strength monochromatic burner is formed, light source is selected semiconductor laser or semiconductor luminotron (LED pipe) for use, wavelength coverage is Visible-to-Near InfaRed spectrum district 400nm-1100nm, the light that each lamp is launched is the center of directive sample all, the light emission direction of lamp is all adjustable in level and vertical direction position, the formed angle in the light emission direction of lamp and axis (line of sample center and detector centre is called the axis) is called the elevation angle, and the elevation angle can be transferred arbitrarily in 20 °-90 ° or 100 ° of-180 ° of scopes; Optical filter 3 and imaging system 4 are positioned at the below of detected sample (as fruit) 2.
Concrete testing process is as follows:
(180 ° of transmission angles can be selected in the black heart light source elevation angle of mensuration fruit to be adjusted in visible, the near-infrared spectra district in several characteristic wavelength monochromatic sources or visible, the near-infrared spectra district the continuous polychromatic light light source position of wavelength, the pulp quality light source elevation angle of measuring fruit can select<90 ° saturating reflection angle) and, to adapt to the size of detected sample (as pear and other fruits).Put into detected sample (fruit), open monochromatic source or secondary color light source irradiation detected sample, start the design's supporting detection system and corresponding software, detect through monochromatic light intensity or sample spectra behind the detected sample (fruit), utilize the monochromatic light of detection or the inside quality parameter that sample spectra calculates detected sample (fruit).

Claims (5)

1. the inner non-destructive holistic approach of fruits and vegetables agricultural products device, comprise light-source system and imaging system, it is characterized in that: light-source system (1) is made up of the lamp of monochromatic source identical or different more than 1, around testing sample, arrange, each lamp can be positioned at detected sample around, also can be positioned at the top of detected sample, the light that each lamp is launched is the center of directive sample all, the light emission direction of lamp is all adjustable in level and vertical direction position, angle between the light emission direction of lamp and the axis that formed by the line of sample center and detector centre is called the elevation angle, and the elevation angle can be transferred arbitrarily in 20 °-90 ° or 100 ° of-180 ° of scopes; Imaging system (4) is made up of lens, and the diameter of lens and focal length will cooperate with detecting device, and its mid-focal length should select to make sample scioptics to be analyzed be imaged onto detecting device just or the light inlet slot of the spectrometer that is used to analyze, is positioned at the below of detected sample.
2. analytical equipment according to claim 1 is characterized in that: described light source (1) is a monochromatic source, selects semiconductor laser or semiconductor luminotron for use, and wavelength coverage is Visible-to-Near InfaRed spectrum district 400nm-1100nm.
3. analytical equipment according to claim 1 is characterized in that: described light source (1) can be selected secondary color light sources such as halogen tungsten lamp for use, and wavelength coverage is Visible-to-Near InfaRed spectrum district 400nm-1100nm.
4. analytical equipment according to claim 1, it is characterized in that: can also comprise optical filter (3), being used for detecting device is grating spectrograph, when grating spectrograph is operated in 600nm-1100nm, optical filter is used the cut-off type optical filter at 600nm place, disturbs with the secondary light of eliminating below the 600nm.
5. analytical equipment according to claim 1 is characterized in that: described light source (1) need come the spectrum of test sample with the 400nm-1100nm spectrometer when adopting the secondary color light source as detection system.
CN 200420050892 2004-05-12 2004-05-12 Internal non-destructive integral analytical equipment for agricultural products such as fruit and vegetable Expired - Fee Related CN2733343Y (en)

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Application Number Priority Date Filing Date Title
CN 200420050892 CN2733343Y (en) 2004-05-12 2004-05-12 Internal non-destructive integral analytical equipment for agricultural products such as fruit and vegetable

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Application Number Priority Date Filing Date Title
CN 200420050892 CN2733343Y (en) 2004-05-12 2004-05-12 Internal non-destructive integral analytical equipment for agricultural products such as fruit and vegetable

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CN2733343Y true CN2733343Y (en) 2005-10-12

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104931439A (en) * 2015-06-05 2015-09-23 西北农林科技大学 Apple mouldy core and core rot detector
CN105628630B (en) * 2015-12-28 2019-04-16 中国农业科学院农产品加工研究所 A kind of analysis method of the fruit and vegetable crisp chip Browning Factors based on simulated system
CN110462397A (en) * 2017-03-24 2019-11-15 Inl-国际伊比利亚纳米技术实验室 For monitoring monitoring device, the system and method for fruit situation
RU2750086C2 (en) * 2017-03-01 2021-06-22 Маф Агроботик Method and apparatus for optical analysis of fruits or vegetables and automatic sorting apparatus
CN113390834A (en) * 2021-06-23 2021-09-14 长江师范学院 Crisp plum maturity detection method based on visual identification
CN113390833A (en) * 2021-06-23 2021-09-14 长江师范学院 Crisp plum maturity judging method based on multiple detection modes
US11724286B2 (en) 2013-11-01 2023-08-15 Tomra Sorting Nv Method and apparatus for detecting matter

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11724286B2 (en) 2013-11-01 2023-08-15 Tomra Sorting Nv Method and apparatus for detecting matter
CN104931439A (en) * 2015-06-05 2015-09-23 西北农林科技大学 Apple mouldy core and core rot detector
CN105628630B (en) * 2015-12-28 2019-04-16 中国农业科学院农产品加工研究所 A kind of analysis method of the fruit and vegetable crisp chip Browning Factors based on simulated system
RU2750086C2 (en) * 2017-03-01 2021-06-22 Маф Агроботик Method and apparatus for optical analysis of fruits or vegetables and automatic sorting apparatus
CN110462397A (en) * 2017-03-24 2019-11-15 Inl-国际伊比利亚纳米技术实验室 For monitoring monitoring device, the system and method for fruit situation
CN110462397B (en) * 2017-03-28 2022-03-04 Inl-国际伊比利亚纳米技术实验室 Monitoring device, system and method for monitoring fruit condition
CN113390834A (en) * 2021-06-23 2021-09-14 长江师范学院 Crisp plum maturity detection method based on visual identification
CN113390833A (en) * 2021-06-23 2021-09-14 长江师范学院 Crisp plum maturity judging method based on multiple detection modes

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