CN107478586A - A kind of portable agricultural chemicals residual concentration detection means of integrability and method - Google Patents
A kind of portable agricultural chemicals residual concentration detection means of integrability and method Download PDFInfo
- Publication number
- CN107478586A CN107478586A CN201710930713.1A CN201710930713A CN107478586A CN 107478586 A CN107478586 A CN 107478586A CN 201710930713 A CN201710930713 A CN 201710930713A CN 107478586 A CN107478586 A CN 107478586A
- Authority
- CN
- China
- Prior art keywords
- agricultural chemicals
- dsp process
- process circuits
- fruit
- vegetable
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 82
- 238000000034 method Methods 0.000 title claims abstract description 81
- 239000003905 agrochemical Substances 0.000 title claims abstract description 61
- 239000000575 pesticide Substances 0.000 claims abstract description 41
- 235000012055 fruits and vegetables Nutrition 0.000 claims abstract description 39
- 241000219122 Cucurbita Species 0.000 claims abstract description 38
- 235000009852 Cucurbita pepo Nutrition 0.000 claims abstract description 38
- 241000894007 species Species 0.000 claims abstract description 28
- 238000011088 calibration curve Methods 0.000 claims abstract description 27
- 238000001228 spectrum Methods 0.000 claims description 29
- 238000003384 imaging method Methods 0.000 claims description 24
- 235000013311 vegetables Nutrition 0.000 claims description 18
- 235000013399 edible fruits Nutrition 0.000 claims description 16
- 241000219112 Cucumis Species 0.000 claims description 15
- 235000015510 Cucumis melo subsp melo Nutrition 0.000 claims description 15
- FJJCIZWZNKZHII-UHFFFAOYSA-N [4,6-bis(cyanoamino)-1,3,5-triazin-2-yl]cyanamide Chemical compound N#CNC1=NC(NC#N)=NC(NC#N)=N1 FJJCIZWZNKZHII-UHFFFAOYSA-N 0.000 claims description 15
- 230000003595 spectral effect Effects 0.000 claims description 14
- 230000003287 optical effect Effects 0.000 claims description 13
- 239000000203 mixture Substances 0.000 claims description 12
- 230000000007 visual effect Effects 0.000 claims description 7
- 239000002131 composite material Substances 0.000 claims description 6
- 150000001875 compounds Chemical class 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 4
- 239000007858 starting material Substances 0.000 claims description 4
- 210000000352 storage cell Anatomy 0.000 claims description 4
- 230000004927 fusion Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 238000010521 absorption reaction Methods 0.000 claims 2
- 239000012528 membrane Substances 0.000 claims 1
- 238000005259 measurement Methods 0.000 abstract description 9
- 238000012360 testing method Methods 0.000 abstract description 3
- 239000000463 material Substances 0.000 description 6
- 239000000126 substance Substances 0.000 description 4
- 238000013459 approach Methods 0.000 description 3
- 238000011953 bioanalysis Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 235000011299 Brassica oleracea var botrytis Nutrition 0.000 description 2
- 240000003259 Brassica oleracea var. botrytis Species 0.000 description 2
- 241000238631 Hexapoda Species 0.000 description 2
- 241000607479 Yersinia pestis Species 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 235000005911 diet Nutrition 0.000 description 2
- 230000037213 diet Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 235000001674 Agaricus brunnescens Nutrition 0.000 description 1
- 241000894006 Bacteria Species 0.000 description 1
- 235000000318 Bindesalat Nutrition 0.000 description 1
- 244000106835 Bindesalat Species 0.000 description 1
- 235000006008 Brassica napus var napus Nutrition 0.000 description 1
- 235000017647 Brassica oleracea var italica Nutrition 0.000 description 1
- 235000001169 Brassica oleracea var oleracea Nutrition 0.000 description 1
- 235000010149 Brassica rapa subsp chinensis Nutrition 0.000 description 1
- 235000000536 Brassica rapa subsp pekinensis Nutrition 0.000 description 1
- 241000499436 Brassica rapa subsp. pekinensis Species 0.000 description 1
- KXDHJXZQYSOELW-UHFFFAOYSA-M Carbamate Chemical compound NC([O-])=O KXDHJXZQYSOELW-UHFFFAOYSA-M 0.000 description 1
- 241001674939 Caulanthus Species 0.000 description 1
- 206010012289 Dementia Diseases 0.000 description 1
- 102000004190 Enzymes Human genes 0.000 description 1
- 108090000790 Enzymes Proteins 0.000 description 1
- 235000007688 Lycopersicon esculentum Nutrition 0.000 description 1
- 241000220225 Malus Species 0.000 description 1
- 235000011430 Malus pumila Nutrition 0.000 description 1
- 235000015103 Malus silvestris Nutrition 0.000 description 1
- 235000006029 Prunus persica var nucipersica Nutrition 0.000 description 1
- 244000017714 Prunus persica var. nucipersica Species 0.000 description 1
- 241000220324 Pyrus Species 0.000 description 1
- 240000003768 Solanum lycopersicum Species 0.000 description 1
- VXSIXFKKSNGRRO-MXOVTSAMSA-N [(1s)-2-methyl-4-oxo-3-[(2z)-penta-2,4-dienyl]cyclopent-2-en-1-yl] (1r,3r)-2,2-dimethyl-3-(2-methylprop-1-enyl)cyclopropane-1-carboxylate;[(1s)-2-methyl-4-oxo-3-[(2z)-penta-2,4-dienyl]cyclopent-2-en-1-yl] (1r,3r)-3-[(e)-3-methoxy-2-methyl-3-oxoprop-1-enyl Chemical class CC1(C)[C@H](C=C(C)C)[C@H]1C(=O)O[C@@H]1C(C)=C(C\C=C/C=C)C(=O)C1.CC1(C)[C@H](/C=C(\C)C(=O)OC)[C@H]1C(=O)O[C@@H]1C(C)=C(C\C=C/C=C)C(=O)C1 VXSIXFKKSNGRRO-MXOVTSAMSA-N 0.000 description 1
- 238000000862 absorption spectrum Methods 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 230000002255 enzymatic effect Effects 0.000 description 1
- 235000021393 food security Nutrition 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000002844 melting Methods 0.000 description 1
- 230000008018 melting Effects 0.000 description 1
- 210000005036 nerve Anatomy 0.000 description 1
- 239000003987 organophosphate pesticide Substances 0.000 description 1
- 235000021017 pears Nutrition 0.000 description 1
- 239000002574 poison Substances 0.000 description 1
- 231100000614 poison Toxicity 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 238000005507 spraying Methods 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 239000005418 vegetable material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The present invention relates to a kind of portable agricultural chemicals residual concentration detection means of integrability and method.The device includes DSP process circuits, LED drive controls circuit, emitting led, receiving optics, spectrographic detection CCD and display module；DSP process circuits are electrically connected by LED drive controls circuit with emitting led；The emitting led outgoing complex light sent is irradiated to detected gourd, fruit and vegetable thing surface rear portion and absorbed, and another part is reflected onto receiving optics；Receiving optics converges to the reflected light of reception on spectrographic detection CCD；Spectrographic detection CCD electrically connects with DSP process circuits；Display module electrically connects with DSP process circuits.Detection method is specifically：1) peg model and calibration curve are established；2) Model Measured and measured curve are obtained；3) species and concentration of remains of pesticide on detected gourd, fruit and vegetable are determined；4) display module shows testing result.The present invention realizes accurate, the quick measurement to gourd, fruit and vegetable remained on surface agricultural chemicals.
Description
Technical field
The invention belongs to photodetection field, is related to a kind of portable agricultural chemicals residual concentration detection means of integrability and side
Method.
Background technology
China is the most country of world population, and the daily consumption of vegetables and melon and fruit class occupies first place in the world, but vegetable melon and fruit
Remains of pesticide problem be always one of maximum hidden danger for consuming dining table and Household diet, and state food security concern concern
One of.
In our day in long diet, the fruit of the surface irregularity such as the shorter green vegetable of growth cycle, broccoli, cauliflower
A large amount of agricultural chemicals are easily remained in vegetable；In addition, the vegetables such as romaine lettuce, Chinese cabbage, wild cabbage are easily gnawed by insects, agricultural chemicals is usually sprayed with
Frequency can be higher than other vegetables；Secondly, for example, the fruits such as apple, pears, tomato, nectarine due to insect pest it is more, pesticide spraying
Dosage and concentration would generally be higher than greengrocery product.
As can be seen here, it is to be attacked to reduce vegetable melon and fruit by pest and disease damage using the main purpose of agricultural chemicals, but simultaneously
With some harm.Such as organophosphorus pesticide is a kind of nerve poison, severe patient can make one amentia；Such as pyrethrins
Class agricultural chemicals can make one insane and stimulate skin.
According to statistics, gourd, fruit and vegetable agricultural chemical recall rate in China's is higher than 45.5%, but due to huge daily consumption and current detection
The limitation of instrument, supervision department are difficult to accomplish to check the residues of pesticides concentration of each gourd, fruit and vegetable.
Residual pesticide in gourd, fruit and vegetable detection method mainly has biological-chemical analytic approach, bioanalysis and spectra methods at present.
Wherein biological-chemical analytic approach is more ripe, utilizes organophosphor and suppression of the carbamate chemicals for agriculture to some enzymes
Make and use, determine to detect the persticide residue in sample by the degree to be developed the color in enzymatic substrate reactions, it is simple to operate；
Bioanalysis is to produce chemical reaction and effect to material using mushroom, measures the concentration of the material, the party indirectly
Method stability is good, but needs that culture bacterium is selected and screened；
Spectroscopic methodology is the new method proposed in recent years, and this method forms the spectral characteristic of molecule using agricultural chemicals, can be quick
The concentration levels of each material of agricultural chemicals are analyzed, accuracy is high.
But above-mentioned several method is summarized as follows there is also in place of some shortcomings：
(1) detecting instrument typically deposits in testing department, negligible amounts, it is little to detect coverage rate；
(2) need to be sampled to being detected gourd, fruit and vegetable, destroy the original form of agricultural product；
(3) detection time is longer, ageing not high；
(4) biological-chemical analytic approach and bioanalysis are required to pre-process sampling sample；
(5) costly, agricultural product testing department and mechanism do not use largely also current spectral instrument；
(6) ruck can not obtain the residues of pesticides concentration of bought vegetable melon and fruit in time.
The content of the invention
In order to solve deficiency and limitation existing for prior art products in technical background, realize residual to gourd, fruit and vegetable surface
Accurate, the quick measurement of agricultural chemicals is stayed, the present invention proposes a kind of spectrum analysis and imaging combined technology of being based on to melon fruits and vegetables
The portable agricultural chemicals residual concentration detection means of integrability and method detected Deng surface of agricultural products residues of pesticides concentration.
The technical solution that the present invention uses is as follows：
The invention provides a kind of portable agricultural chemicals residual concentration detection means of integrability, including DSP process circuits,
LED drive controls circuit, emitting led, receiving optics, spectrographic detection CCD and display module；
DSP process circuits are electrically connected by LED drive controls circuit with emitting led；The emitting led outgoing complex light sent
It is irradiated to detected gourd, fruit and vegetable thing surface rear portion to be absorbed, another part is reflected onto receiving optics；Receive light
System converges to the reflected light of reception on spectrographic detection CCD；Spectrographic detection CCD electrically connects with DSP process circuits；Show mould
Block electrically connects with DSP process circuits.
Wherein, receiving optics includes 4 spherical mirrors set gradually along reflected light light path, is plated on every spherical mirror
There is infrared anti-reflection film；The receiving optics cut-off wave band is 3.0 μm, and focal length≤3.9mm, the angle of visual field is not less than 70 °, 1/
MTF at 2 limiting frequencies is more than 0.4.
In order to increase the dates back of the device, the device also includes being used to that agriculture will to be remained on detected gourd, fruit and vegetable
The data storage cell that the species and concentration of medicine are stored.
Specifically, it is described it is emitting led there is wide spectrum characteristic, cover medium-wave infrared from ultraviolet, wave-length coverage is：
200nm—2.8μm。
Based on the above-mentioned portable agricultural chemicals residual concentration detection means of integrability, the detection method of the device is now provided,
Comprise the following steps：
1) peg model and calibration curve are established
1.1) agricultural chemicals known to a kind of concentration and composition proportion, under the irradiation of LED composite light sources, spectrographic detection are selected
CCD is shot to the agricultural chemicals, and image is obtained to multispectral absorbed power spectrum after FFT changes to frequency domain, and this is inhaled
It is corresponding with each composition in agricultural chemicals to receive spectral line, obtains corresponding peg model of the spectrum with the concentration agricultural chemicals, and it is bent to fit demarcation
Line, the calibration curve is stored in DSP process circuits；
1.2) repeat step 1.1), the peg model of the agricultural chemicals of other species is established, and fit other calibration curves；
2) Model Measured and measured curve are obtained,
2.1) display module starter is passed through；
2.2) LED drive circuit by DSP process circuits it is enabled after drive and emitting led send outgoing complex light；It is emitted compound
Light irradiation is on tested gourd, fruit and vegetable, and part outgoing complex light can each absworption peak wave band be inhaled by the various molecules of remains of pesticide
Receive, another part outgoing complex light can be reflected；
2.3) vegetable melon and fruit surface reflection is converged on spectrographic detection CCD by receiving optics, and spectrum is visited afterwards
Survey CCD and reflected light data is transferred to DSP process circuits in the form of every frame；
2.4) DSP process circuits are after spectral detector CCD reflected light data is received, by FFT to frequency domain
Multispectral absorbed power spectrum is obtained, carrying out data to each wavelength power is fitted to obtain Model Measured and measured curve；
3) peg model and calibration curve that Model Measured and measured curve obtain with step 1) are compared and approached,
The species of remains of pesticide is quickly determined by the degree of closeness of envelope of curve, is quickly determined to be detected melon and fruit according to the comparison of amplitude
The concentration of remains of pesticide on vegetables；
4) species of remains of pesticide and concentration on detected gourd, fruit and vegetable are uploaded to display module and carried out by DSP process circuits
Display.
The present invention gives the embodiment of another optimization of the residues of pesticides concentration detection apparatus, and structure is specific
It is as follows：
A kind of portable agricultural chemicals residual concentration detection means of integrability, including DSP process circuits, LED drive controls electricity
Road, emitting led, receiving optics, spectrographic detection CCD, imaging CCD and display module；
DSP process circuits are electrically connected by LED drive controls circuit with emitting led；The emitting led outgoing complex light sent
It is irradiated to detected gourd, fruit and vegetable thing surface rear portion to be absorbed, another part is reflected onto receiving optics；Receive light
The reflected light of reception is divided into two light paths by system, is all the way spectrographic detection light path, another part is imaging optical path；Spectrum is visited
CCD is surveyed to be located on the focal plane of spectrographic detection light path；Imaging CCD is located on the focal plane of imaging optical path；Spectrographic detection CCD with
DSP process circuits electrically connect；Display module electrically connects with DSP process circuits.
Wherein, the receiving optics is spectrographic detection light path and imaging optical path due to needing reflected light beam splitting, therefore
Receiving optics in the structure includes 4 spherical mirrors and Amici prism set gradually along reflected light light path；Every ball
Infrared anti-reflection film is coated with the mirror of face；The receiving optics cut-off wave band is 3.0 μm, focal length≤3.9mm, and the angle of visual field is not small
In 70 °, the MTF at 1/2 limiting frequency is more than 0.4.
It is consistent with first way, also include being used in the device by the species of remains of pesticide on detected gourd, fruit and vegetable and
The data storage cell that concentration is stored.
Specifically, it is described it is emitting led there is wide spectrum characteristic, cover medium-wave infrared from ultraviolet, wave-length coverage is：
200nm—2.8μm。
Based on the optimal way of the above-mentioned portable agricultural chemicals residual concentration detection means of integrability, the optimization side is now provided
The detection method of formula device, comprises the following steps：
1) peg model and calibration curve are established
1.1) agricultural chemicals known to a kind of concentration and composition proportion, under the irradiation of LED composite light sources, spectrographic detection are selected
CCD is shot to the agricultural chemicals, and image is obtained to multispectral absorbed power spectrum after FFT changes to frequency domain, and this is inhaled
It is corresponding with each composition in agricultural chemicals to receive spectral line, obtains corresponding peg model of the spectrum with the concentration agricultural chemicals, and it is bent to fit demarcation
Line, the calibration curve is stored in DSP process circuits；
1.2) repeat step 1.1), the peg model of the agricultural chemicals of other species is established, and fit other calibration curves；
2) Model Measured and measured curve are obtained；
2.1) display module starter is passed through；
2.2) LED drive circuit by DSP process circuits it is enabled after drive and emitting led send outgoing complex light；It is emitted compound
Light irradiation is on tested gourd, fruit and vegetable, and part outgoing complex light can each absworption peak wave band be inhaled by the various molecules of remains of pesticide
Receive, another part outgoing complex light can be reflected；
2.3) reflected light can be divided into two-way after vegetable melon and fruit surface reflection is received by receiving optics, all the way for into
It is spectrographic detection light path all the way in addition as light path；
2.4) spectrographic detection CCD receives the transmitting light in spectrographic detection light path, and by reflected light data in the form of every frame
It is transferred to DSP process circuits；The realtime graphic that CCD receives tested gourd, fruit and vegetable is imaged simultaneously, and by image in the form of every frame
Data are transferred to DSP process circuits；
2.5) DSP process circuits are after spectral detector CCD reflected light data is received, by FFT to frequency domain
Multispectral absorbed power spectrum is obtained, carrying out data to each wavelength power is fitted to obtain Model Measured and measured curve；
3) peg model and calibration curve that Model Measured and measured curve obtain with step 1) are compared and approached,
The species of remains of pesticide is quickly determined by the degree of closeness of envelope of curve, is quickly determined to be detected melon and fruit according to the comparison of amplitude
The concentration of remains of pesticide on vegetables；
4) DSP process circuits, will after the realtime image data of the imaging CCD detected gourd, fruit and vegetable of transmission is received
The remains of pesticide species that view data obtains with carries out fused data with residual concentration data, and DSP process circuits will after fusion
The data of species and concentration containing remains of pesticide and the data of tested gourd, fruit and vegetable realtime graphic are transferred to display module progress
Display.
The advantage of the invention is that：
1st, the present invention is based on imaging spectral technology, and the detection composed using material absorbing, result of detection is accurate, and is not easy by it
The interference of its material；
2nd, demand light source of the invention covers ultraviolet, visible ray and medium-wave infrared, can cover existing common pesticides respectively into
The absorption spectra of fractionated molecule；
3rd, the present invention is respectively completed imaging and the function of spectrographic detection using two panels CCD, avoids traditional imaging spectrometer
Numerous and jumbled algorithm when recovering image by signal reconstruct again by spectrographic detection with 1 CCD, reduces hardware design difficulty, saves
About cost；
4th, detectivity of the present invention is high, and the remains of pesticide species that can quickly obtain detected material surface is dense with remaining
Degree, data are combined with image, visual result；
5th, the present invention is simple to operate, it is not necessary to professional training and substantial amounts of Scientific basis knowledge, is adapted to disappearing for general population
Take theory；
6th, compact of the present invention, data-interface is simple, can be integrated in mobile phone, PAD, tablet personal computer or laptop computer
In, light filling LED or illumination LED with these consumer electronics, carry bidirectional camera shooting head and processor is combined, realize melting for function
Close, it is more user-friendly；
7th, view data of the invention and measurement data can real-time storage, it is convenient to check and compare afterwards.
Brief description of the drawings
Fig. 1 is the structural representation of the embodiment of the present invention 1.
Fig. 2 is the structural representation of the embodiment of the present invention 2.
Reference is as follows：
1-DSP process circuits, 2-LED drive controls circuit, 3- are emitting led, 4- receiving optics, 5- spectrographic detections
CCD, 6- are imaged CCD, 7- display module.
Embodiment
The device and method of the present invention is described below by two embodiments：
Embodiment 1
As shown in figure 1, a kind of portable agricultural chemicals residual concentration detection means of integrability is driven by DSP process circuits 1, LED
Dynamic control circuit 2, emitting led 3, receiving optics 4, spectrographic detection CCD5 and display module 7 form；
DSP process circuits are electrically connected by LED drive controls circuit with emitting led；The emitting led outgoing complex light sent
It is irradiated to detected gourd, fruit and vegetable thing surface rear portion to be absorbed, another part is reflected onto receiving optics；Receive light
System converges to the reflected light of reception on spectrographic detection CCD；Spectrographic detection CCD electrically connects with DSP process circuits；Show mould
Block electrically connects with DSP process circuits.
Wherein, the receiving optics receiving optics of the embodiment includes 4 set gradually along reflected light light path
Spherical mirror, infrared anti-reflection film is coated with every spherical mirror；The receiving optics cut-off wave band is 3.0 μm, focal length≤
3.9mm, the angle of visual field are not less than 70 °, and the MTF at 1/2 limiting frequency is more than 0.4.
It should be noted that：It is described it is emitting led there is wide spectrum characteristic, cover medium-wave infrared, wave-length coverage from ultraviolet
It is：200nm—2.8μm.
Its specific work process of the device of embodiment 1 is as follows：
1) peg model and calibration curve are established
1.1) agricultural chemicals known to a kind of concentration and composition proportion, under the irradiation of LED composite light sources, spectrographic detection are selected
CCD is shot to the agricultural chemicals, and image is obtained to multispectral absorbed power spectrum after FFT changes to frequency domain, and this is inhaled
It is corresponding with each composition in agricultural chemicals to receive spectral line, obtains corresponding peg model of the spectrum with the concentration agricultural chemicals, and it is bent to fit demarcation
Line, the calibration curve is stored in DSP process circuits；
1.2) repeat step 1.1), the peg model of the agricultural chemicals of other species is established, and fit other calibration curves；
2) Model Measured and measured curve are obtained；
2.1) measurement button is pressed on the touch-screen of display module 7, starts measurement function；
2.2) DSP process circuits 1 enable LED drive controls circuit 2；
2.3) LED drive circuit 2 starts to drive emitting led 3 to light after being enabled by DSP process circuits 1；Emitting led 3 be width
Spectral characteristic, medium-wave infrared (200nm -2.8 μm) is covered from ultraviolet；
2.4) emitting led 3 light sent are complex light, and being radiated at tested gourd, fruit and vegetable glazing can be by the various of remains of pesticide
Each absworption peak wave band is absorbed molecule, and remaining light can be launched；The light of vegetable melon and fruit surface emitting is detected by receiving light
After system 4, it is radiated at by slit diaphragm and after being collimated on dispersing prism, then spectrographic detection is radiated at after convergent mirror
On the focal plane of light path；Reflected light data is transferred to DSP process circuits 1 by spectrographic detection CCD5 in the form of every frame afterwards；
2.5) DSP process circuits 1 just obtain after spectral detector CCD5 data are received by FFT to frequency domain
Multispectral absorbed power spectrum is arrived, carrying out data to each wavelength power is fitted to obtain Model Measured and measured curve；
3) peg model and calibration curve that Model Measured and measured curve obtain with step 1) are compared and approached,
The species of remains of pesticide is quickly determined by the degree of closeness of envelope of curve, is quickly determined to be detected melon and fruit according to the comparison of amplitude
The concentration of remains of pesticide on vegetables；
4) species of remains of pesticide and concentration on detected gourd, fruit and vegetable are uploaded to display module and entered by DSP process circuits 1
Row display, display content include currently detected gourd, fruit and vegetable material object and the remains of pesticide species and concentration on its surface, and
Present image and measurement result can be preserved.
In order to optimize the present invention, the invention also provides another embodiment：
Embodiment 2
A kind of as shown in Fig. 2 portable agricultural chemicals residual concentration detection means of integrability, it is characterised in that：At DSP
Manage circuit 1, LED drive controls circuit 2, emitting led 3, receiving optics 4, spectrographic detection CCD5, imaging CCD6 and display
Module 7；
DSP process circuits 1 are electrically connected by LED drive controls circuit 2 with emitting led 3；Emitting led 3 outgoing sent are answered
Closing light is irradiated to detected gourd, fruit and vegetable thing surface rear portion and absorbed, and another part is reflected onto receiving optics 4；Connect
Receive optical system 4 and the reflected light of reception is divided into two light paths, be all the way spectrographic detection light path, another part is imaging optical path；
Spectrographic detection CCD5 is located on the focal plane of spectrographic detection light path；Imaging CCD6 is located on the focal plane of imaging optical path；Spectrum is visited
CCD5 is surveyed to electrically connect with DSP process circuits 1；Display module 7 electrically connects with DSP process circuits 1.
Wherein, the receiving optics in the embodiment, which includes receiving optics, includes setting gradually along reflected light light path
4 spherical mirrors and Amici prism；Infrared anti-reflection film is coated with every spherical mirror；The receiving optics ends wave band
For 3.0 μm, focal length≤3.9mm, the angle of visual field is not less than 70 °, and the MTF at 1/2 limiting frequency is more than 0.4.
It should be noted that：It is described it is emitting led there is wide spectrum characteristic, cover medium-wave infrared, wave-length coverage from ultraviolet
It is：200nm—2.8μm.
Its specific work process of the device of embodiment 2 is as follows：
1) peg model and calibration curve are established
1.1) agricultural chemicals known to a kind of concentration and composition proportion, under the irradiation of LED composite light sources, spectrographic detection are selected
CCD is shot to the agricultural chemicals, and image is obtained to multispectral absorbed power spectrum after FFT changes to frequency domain, and this is inhaled
It is corresponding with each composition in agricultural chemicals to receive spectral line, obtains corresponding peg model of the spectrum with the concentration agricultural chemicals, and it is bent to fit demarcation
Line, the calibration curve is stored in DSP process circuits；
1.2) repeat step 1.1), the peg model of the agricultural chemicals of other species is established, and fit other calibration curves；
2) Model Measured and measured curve are obtained；
2.1) measurement button is pressed on the touch-screen of display module 7, starts measurement function；
2.2) DSP process circuits 1 enable LED drive controls circuit 2；After LED drive circuit 2 is enabled by DSP process circuits 1
Start to drive emitting led 3 to light；Emitting led 3 be wide spectrum characteristic, and medium-wave infrared (200nm -2.8 μm) is covered from ultraviolet；
2.3) light that LED3 is sent is complex light, and being radiated at tested gourd, fruit and vegetable glazing can be by the various molecule of remains of pesticide
Respective absworption peak wave band is absorbed, and remaining light can be launched；
2.4) light of vegetable melon and fruit surface emitting is tested after receiving optics 4, light path can be divided into two-way first,
On the focal plane for converging at imaging optical path by convergent mirror after 45 degree of refractions all the way；In addition all the way by slit diaphragm and accurate
It is radiated on dispersing prism after straight, then is radiated at after convergent mirror on the focal plane of spectrographic detection light path；
2.5) spectrographic detection CCD5 is located on the focal plane of spectrographic detection light path, and each pixel is the picture of spatial dispersion, often
Frame data are transferred to DSP process circuits 1；
Meanwhile be imaged CCD6 and be located on the focal plane of imaging optical path, imaging is the real image of gourd, fruit and vegetable, per frame data
It is transferred to DSP process circuits 1；
2.6) DSP process circuits 1 just obtain after spectral detector CCD5 data are received by FFT to frequency domain
Multispectral absorbed power spectrum is arrived, carrying out data to each wavelength power is fitted to obtain Model Measured and measured curve；
3) peg model and calibration curve that Model Measured and measured curve obtain with step 1) are compared and approached,
The species of remains of pesticide is quickly determined by the degree of closeness of envelope of curve, is quickly determined to be detected melon and fruit according to the comparison of amplitude
The concentration of remains of pesticide on vegetables；
4) DSP process circuits 1 are after imaging CCD6 data are received, by view data with obtained remains of pesticide kind
Class is merged with concentration data；After data fusion, DSP process circuits 1 can be by the result (species of agricultural chemicals containing spectrographic detection
With concentration) and the data of image be transferred to display module 7 and shown, it is real that display content includes currently detected gourd, fruit and vegetable
The remains of pesticide species and concentration of thing and its surface, and present image and measurement result can be preserved.
Claims (10)
- A kind of 1. portable agricultural chemicals residual concentration detection means of integrability, it is characterised in that：Including DSP process circuits, LED drives Dynamic control circuit, emitting led, receiving optics, spectrographic detection CCD and display module；DSP process circuits are electrically connected by LED drive controls circuit with emitting led；The emitting led compound light irradiation of outgoing sent Absorbed to detected gourd, fruit and vegetable thing surface rear portion, another part is reflected onto receiving optics；Receive optical system System converges to the reflected light of reception on spectrographic detection CCD；Spectrographic detection CCD electrically connects with DSP process circuits；Display module with DSP process circuits electrically connect.
- 2. the portable agricultural chemicals residual concentration detection means of integrability according to claim 1, it is characterised in that：Receive optics System includes 4 spherical mirrors set gradually along reflected light light path, and infrared anti-reflection film is coated with every spherical mirror；The reception Optical system cut-off wave band is 3.0 μm, and focal length≤3.9mm, the angle of visual field is not less than 70 °, and the MTF at 1/2 limiting frequency is more than 0.4。
- 3. the portable agricultural chemicals residual concentration detection means of integrability according to claim 1 or claim 2, it is characterised in that：Also wrap Include for by the species of remains of pesticide and concentration are stored on detected gourd, fruit and vegetable data storage cell.
- 4. the portable agricultural chemicals residual concentration detection means of integrability according to claim 3, it is characterised in that：It is described luminous LED has wide spectrum characteristic, covers medium-wave infrared from ultraviolet, wave-length coverage is：200nm—2.8μm.
- A kind of 5. portable agricultural chemicals residual concentration detection means of integrability, it is characterised in that：Including DSP process circuits, LED drives Dynamic control circuit, emitting led, receiving optics, spectrographic detection CCD, imaging CCD and display module；DSP process circuits are electrically connected by LED drive controls circuit with emitting led；The emitting led compound light irradiation of outgoing sent Absorbed to detected gourd, fruit and vegetable thing surface rear portion, another part is reflected onto receiving optics；Receive optical system The reflected light of reception is divided into two light paths by system, is all the way spectrographic detection light path, another part is imaging optical path；Spectrographic detection CCD is located on the focal plane of spectrographic detection light path；Imaging CCD is located on the focal plane of imaging optical path；Spectrographic detection CCD and DSP Process circuit electrically connects；Display module electrically connects with DSP process circuits.
- 6. the portable agricultural chemicals residual concentration detection means of integrability according to claim 5, it is characterised in that：Receive optics System includes 4 spherical mirrors and Amici prism set gradually along reflected light light path；Infrared increasing is coated with every spherical mirror Permeable membrane；The receiving optics cut-off wave band is 3.0 μm, and focal length≤3.9mm, the angle of visual field is not less than 70 °, in 1/2 limit frequency MTF at rate is more than 0.4.
- 7. according to the portable agricultural chemicals residual concentration detection means of the integrability of claim 5 or 6, it is characterised in that：Also wrap Include for by the species of remains of pesticide and concentration are stored on detected gourd, fruit and vegetable data storage cell.
- 8. the portable agricultural chemicals residual concentration detection means of integrability according to claim 7, it is characterised in that：It is described luminous LED has wide spectrum characteristic, covers medium-wave infrared from ultraviolet, wave-length coverage is：200nm—2.8μm.
- 9. based on the detection method of the portable agricultural chemicals residual concentration detection means of integrability described in claim 1, its feature It is, comprises the following steps：1) peg model and calibration curve are established1.1) agricultural chemicals known to a kind of concentration and composition proportion, under the irradiation of LED composite light sources, CCD pairs of spectrographic detection are selected The agricultural chemicals is shot, and image is obtained to multispectral absorbed power spectrum after FFT changes to frequency domain, by the absorption line It is corresponding with each composition in agricultural chemicals, corresponding peg model of the spectrum with the concentration agricultural chemicals is obtained, and calibration curve is fitted, by this Calibration curve is stored in DSP process circuits；1.2) repeat step 1.1), the peg model of the agricultural chemicals of other species is established, and fit other calibration curves；2) Model Measured and measured curve are obtained；2.1) display module starter is passed through；2.2) LED drive circuit by DSP process circuits it is enabled after drive and emitting led send outgoing complex light；Complex light is emitted to shine To penetrate on tested gourd, fruit and vegetable, part outgoing complex light can each absworption peak wave band absorbs by the various molecules of remains of pesticide, Another part outgoing complex light can be reflected；2.3) vegetable melon and fruit surface reflection is converged on spectrographic detection CCD by receiving optics, afterwards spectrographic detection CCD Reflected light data is transferred to DSP process circuits in the form of every frame；2.4) DSP process circuits obtain after spectral detector CCD reflected light data is received by FFT to frequency domain Multispectral absorbed power spectrum, data are carried out to each wavelength power and are fitted to obtain Model Measured and measured curve；3) peg model and calibration curve that Model Measured and measured curve obtain with step 1) are compared and approached, passed through The degree of closeness of envelope of curve quickly determines the species of remains of pesticide, is quickly determined to be detected gourd, fruit and vegetable according to the comparison of amplitude The concentration of upper remains of pesticide；4) species of remains of pesticide and concentration on detected gourd, fruit and vegetable are uploaded to display module and shown by DSP process circuits Show.
- 10. based on the detection method of the portable agricultural chemicals residual concentration detection means of integrability described in claim 5, its feature It is, comprises the following steps：1) peg model and calibration curve are established1.1) agricultural chemicals known to a kind of concentration and composition proportion, under the irradiation of LED composite light sources, CCD pairs of spectrographic detection are selected The agricultural chemicals is shot, and image is obtained to multispectral absorbed power spectrum after FFT changes to frequency domain, by the absorption line It is corresponding with each composition in agricultural chemicals, corresponding peg model of the spectrum with the concentration agricultural chemicals is obtained, and calibration curve is fitted, by this Calibration curve is stored in DSP process circuits；1.2) repeat step 1.1), the peg model of the agricultural chemicals of other species is established, and fit other calibration curves；2) Model Measured and measured curve are obtained；2.1) display module starter is passed through；2.2) LED drive circuit by DSP process circuits it is enabled after drive and emitting led send outgoing complex light；Complex light is emitted to shine To penetrate on tested gourd, fruit and vegetable, part outgoing complex light can each absworption peak wave band absorbs by the various molecules of remains of pesticide, Another part outgoing complex light can be reflected；2.3) reflected light can be divided into two-way after vegetable melon and fruit surface reflection is received by receiving optics, is all the way imaging Road, it is spectrographic detection light path all the way in addition；2.4) spectrographic detection CCD receives the transmitting light in spectrographic detection light path, and is transmitted reflected light data in the form of every frame Give DSP process circuits；The realtime graphic that CCD receives tested gourd, fruit and vegetable is imaged simultaneously, and by view data in the form of every frame It is transferred to DSP process circuits；2.5) DSP process circuits obtain after spectral detector CCD reflected light data is received by FFT to frequency domain Multispectral absorbed power spectrum, data are carried out to each wavelength power and are fitted to obtain Model Measured and measured curve；3) peg model and calibration curve that Model Measured and measured curve obtain with step 1) are compared and approached, passed through The degree of closeness of envelope of curve quickly determines the species of remains of pesticide, is quickly determined to be detected gourd, fruit and vegetable according to the comparison of amplitude The concentration of upper remains of pesticide；4) DSP process circuits are after the realtime image data of the imaging CCD detected gourd, fruit and vegetable of transmission is received, by image The remains of pesticide species that data obtain with carries out fused data with residual concentration data, and DSP process circuits will contain after fusion The species of remains of pesticide and the data of concentration and the data of tested gourd, fruit and vegetable realtime graphic are transferred to display module and shown.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710930713.1A CN107478586A (en) | 2017-10-09 | 2017-10-09 | A kind of portable agricultural chemicals residual concentration detection means of integrability and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710930713.1A CN107478586A (en) | 2017-10-09 | 2017-10-09 | A kind of portable agricultural chemicals residual concentration detection means of integrability and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107478586A true CN107478586A (en) | 2017-12-15 |
Family
ID=60605156
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710930713.1A Pending CN107478586A (en) | 2017-10-09 | 2017-10-09 | A kind of portable agricultural chemicals residual concentration detection means of integrability and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107478586A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113176215A (en) * | 2021-01-06 | 2021-07-27 | 深圳市六合智能感知系统科技有限公司 | Method, system, equipment and storage medium for detecting residual pesticides in fruits and vegetables |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101034058A (en) * | 2007-04-10 | 2007-09-12 | 上海理工大学 | Portable vegetable pesticide residue analyzer |
| CN103424387A (en) * | 2013-06-20 | 2013-12-04 | 中国科学院苏州生物医学工程技术研究所 | Fluorescence spectrum detection device for pesticide residue |
| CN104865194A (en) * | 2015-04-03 | 2015-08-26 | 江苏大学 | Detection apparatus and method for pesticide residues in vegetable based on near infrared, fluorescence and polarization multi-spectrum |
| CN104931470A (en) * | 2015-06-02 | 2015-09-23 | 江苏大学 | Fluorescence hyperspectral technology-based pesticide residue detection device and method |
| CN104964946A (en) * | 2015-03-19 | 2015-10-07 | 复旦大学 | Detection apparatus and detection method for pesticide and fertilizer residues in vegetable and fruit based on near infrared spectroscopic analysis |
| WO2017041335A1 (en) * | 2015-09-07 | 2017-03-16 | 南京华图信息技术有限公司 | Device and method for collaborative moving target detection with imaging and spectrogram detection in full optical waveband |
| CN207263626U (en) * | 2017-10-09 | 2018-04-20 | 西安明松电子科技有限公司 | A kind of portable pesticide residual concentration detection device of integrability |
-
2017
- 2017-10-09 CN CN201710930713.1A patent/CN107478586A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101034058A (en) * | 2007-04-10 | 2007-09-12 | 上海理工大学 | Portable vegetable pesticide residue analyzer |
| CN103424387A (en) * | 2013-06-20 | 2013-12-04 | 中国科学院苏州生物医学工程技术研究所 | Fluorescence spectrum detection device for pesticide residue |
| CN104964946A (en) * | 2015-03-19 | 2015-10-07 | 复旦大学 | Detection apparatus and detection method for pesticide and fertilizer residues in vegetable and fruit based on near infrared spectroscopic analysis |
| CN104865194A (en) * | 2015-04-03 | 2015-08-26 | 江苏大学 | Detection apparatus and method for pesticide residues in vegetable based on near infrared, fluorescence and polarization multi-spectrum |
| CN104931470A (en) * | 2015-06-02 | 2015-09-23 | 江苏大学 | Fluorescence hyperspectral technology-based pesticide residue detection device and method |
| WO2017041335A1 (en) * | 2015-09-07 | 2017-03-16 | 南京华图信息技术有限公司 | Device and method for collaborative moving target detection with imaging and spectrogram detection in full optical waveband |
| CN207263626U (en) * | 2017-10-09 | 2018-04-20 | 西安明松电子科技有限公司 | A kind of portable pesticide residual concentration detection device of integrability |
Non-Patent Citations (1)
| Title |
|---|
| 杨永才等编著: "《光电信息技术》", 东华大学出版社, pages: 235 - 239 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113176215A (en) * | 2021-01-06 | 2021-07-27 | 深圳市六合智能感知系统科技有限公司 | Method, system, equipment and storage medium for detecting residual pesticides in fruits and vegetables |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US6851662B2 (en) | On-the-go sugar sensor for determining sugar content during harvesting | |
| EP1125111B1 (en) | Fluorescence detection assembly for determination of significant vegetation parameters | |
| US7400405B2 (en) | Pesticide detector and method | |
| CN105911562B (en) | A kind of three-dimensional scanning type many reference amounts laser radar system for environmental monitoring | |
| CN104122562B (en) | Multiband Raman fluorescent laser radar system | |
| US20100181496A1 (en) | In-situ plant analysis apparatus, method for tracking the state or evolution of a culture and method for managing vegetable processing | |
| US10041833B1 (en) | System and method for active multispectral imaging and optical communications | |
| CN104807755B (en) | The quick photoacoustic detection device of Multi probe for food additive component and content and method | |
| CN105866061B (en) | The anticoincidence pulse detection device and anticoincidence pulse detection method of THz wave time-domain information | |
| Svanberg | Fluorescence lidar monitoring of vegetation status | |
| CA2315357A1 (en) | Analysing device non-destructive of plants and vehicle comprising such device on board | |
| CN110542668A (en) | method for quantitatively analyzing component distribution condition of blade based on terahertz imaging technology | |
| CN110031865A (en) | A kind of vegetation detection binary channels fluorescent laser radar system | |
| CN109187417A (en) | A kind of Terahertz of UAV system involves high-spectrum remote-sensing crops monitoring system | |
| Cavaco et al. | Making sense of light: The use of optical spectroscopy techniques in plant sciences and agriculture | |
| Edner et al. | Laser-induced fluorescence monitoring of vegetation in Tuscany | |
| CN207263626U (en) | A kind of portable pesticide residual concentration detection device of integrability | |
| CN107478586A (en) | A kind of portable agricultural chemicals residual concentration detection means of integrability and method | |
| CN206740648U (en) | A kind of NO2The device of concentration distribution detection | |
| EP2183574A1 (en) | Method and device for determining the ratio between the contents of chlorophyll and of a chromophore compound in a vegetable tissue without independently measuring said contents | |
| CN105334166A (en) | Dual-detector near-infrared spectroscopy used for food composition analysis | |
| EP4052458A1 (en) | Methods and systems for detecting water status in plants using terahertz radiation | |
| CN209525221U (en) | A kind of pesticide deposition characteristic waves are according to acquisition and pesticide deposition amount detection device | |
| EP2179270B1 (en) | Method and system for characterizing a pigmented biological tissue. | |
| Saito | Laser-induced fluorescence spectroscopy/technique as a tool for field monitoring of physiological status of living plants |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210730 Address after: 710000 room 22509, unit 2, building 1, Fortune Center, Gaoxin Third Road, Lianhu District, Xi'an City, Shaanxi Province Applicant after: Xi'an Xixing Electronic Technology Co.,Ltd. Address before: 710075 Room 303, block B, 3rd floor, Chuangye building, No. 16, Gaoxin 1st Road, high tech Zone, Xi'an, Shaanxi Applicant before: XI'AN MINGSONG ELECTRONIC TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20211130 Address after: 710075 Room 303, block B, 3rd floor, Chuangye building, No. 16, Gaoxin 1st Road, high tech Zone, Xi'an, Shaanxi Applicant after: XI'AN MINGSONG ELECTRONIC TECHNOLOGY CO.,LTD. Address before: 710000 room 22509, unit 2, building 1, Fortune Center, Gaoxin Third Road, Lianhu District, Xi'an City, Shaanxi Province Applicant before: Xi'an Xixing Electronic Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right |