CN203233450U - Near-infrared food safety identification system - Google Patents
Near-infrared food safety identification system Download PDFInfo
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- CN203233450U CN203233450U CN 201320220865 CN201320220865U CN203233450U CN 203233450 U CN203233450 U CN 203233450U CN 201320220865 CN201320220865 CN 201320220865 CN 201320220865 U CN201320220865 U CN 201320220865U CN 203233450 U CN203233450 U CN 203233450U
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Abstract
The utility model relates to a near-infrared food safety identification system, comprising a sampling probe, a networked terminal and an identification central system. The sampling probe is used for acquiring near infrared spectroscopic data of to-be-detected food. The networked terminal is connected with the sampling probe and used for transmitting the near infrared spectroscopic data. The identification central system is connected with the networked terminal through the Internet and comprises a server and a near-infrared spectrometer connected with the server, and the server is used for identifying the safety level of the to-be-detected food by using the near-infrared spectrometer and a food fingerprint database and transmitting an identification result to the networked terminal, wherein the safety level is reflected by identification of the near infrared spectroscopic data with the near-infrared spectrometer.
Description
Technical field
The utility model relates to the near infrared detection technology, especially relates to a kind of near-infrared food security identification system.
Background technology
Food-safety problem is subjected to the extensive concern of countries in the world day by day, and for strengthening the supervision and management to food security, some new detection techniques continue to bring out.Near-infrared spectral analysis technology is that of growing up the nineties in 20th century is the analytical technology of advantage with the Non-Destructive Testing, as a kind of nondestructive analysis method fast, can be used for differentiating the food true and false, mingle discriminating, differentiate food variety, review the places of origin of raw materials, detect residues of pesticides, carry out food quality assessment and classification etc., in the food security field wide application prospect be arranged.Though it is not very oversize that near infrared technology is applied to the time in food security field, but the outstanding advantage that it has aspect the harmful substance compound structure in identifying food, as, detection of microbe, fresh meat pH value, dairy products, edible oil, food additives and pesticide residue etc. in the Non-Destructive Testing of fruit-vegetable quality, the food.
The accuracy that the near-infrared Fast Detection Technique is measured depends on the quantity of Mathematical Modeling that data that standard method provides and Chemical Measurement set up, correcting sample collection that Mathematical Modeling is used etc.Therefore, the application of near infrared detection must have a whole set of system, comprises near infrared spectrometer, the Chemical Measurement software that possesses certain function and the enough models of the scope of application targetedly.Near-infrared food security identification system all is the main equipment of specialty at present, only appears at laboratory and the inspection center of minority, can't extensively popularize, and for example is generalized to the daily detection of food of general family.
The utility model content
Technical problem to be solved in the utility model provides a kind of near-infrared food security identification system of being convenient to popularize.
The utility model is that to solve the problems of the technologies described above the technical scheme that adopts be to propose a kind of near-infrared food security identification system, comprises sampling probe, networking terminal and authentication center system.Sampling probe is used for gathering the near infrared spectrum data of tested food.The networking terminal connects this sampling probe, in order to transmit this near infrared spectrum data.The authentication center system is connected with this networking terminal by the Internet, this authentication center system comprises server and is connected to the near infrared spectrometer of this server, this server is used for using this near infrared spectrometer and a food dactylogram picture library to identify the safe class that this near infrared spectrum is differentiated the tested food that this near infrared spectrum data reflects, and is transferred to this networking terminal.
In an embodiment of the present utility model, this networking terminal be desktop computer, notebook computer, panel computer and smart mobile phone one of them.
In an embodiment of the present utility model, this networking terminal connects this sampling probe by connecting line or Connection Block.
In an embodiment of the present utility model, this networking terminal is communicated by letter with this sampling probe by short-range communication protocols.
In an embodiment of the present utility model, this sampling probe comprises led light source, optical fiber, optics beam splitting system and the CCD signals acquisition module that connects successively, this sampling probe also comprises intelligent control module, this optics beam splitting system comprises the linear array charge coupled cell, and this intelligent control module is used for the work of control this led light source, this linear array charge coupled cell and this CCD signals acquisition module.
In an embodiment of the present utility model, this optical fiber is y-type optical fiber, and this y-type optical fiber comprises light source interface and signaling interface, and this light source interface connects this led light source, and this signaling interface connects this optics beam splitting system.
In an embodiment of the present utility model, this server and this near infrared spectrometer are by the ZigBee protocol communication.
The utility model is owing to adopt above technical scheme, make it compared with prior art, owing to adopted the compound mode of distributed probe and authentication center, by popularizing of networking terminal and network, make the original expensive equipment based on the near infrared detection technology can realize the small entity application, thereby improve the distinguishing ability of food securities such as family, shop.
Description of drawings
For above-mentioned purpose of the present utility model, feature and advantage can be become apparent, below in conjunction with accompanying drawing embodiment of the present utility model is elaborated, wherein:
Fig. 1 illustrates the identification system structured flowchart of the utility model one embodiment.
Fig. 2 illustrates the sampling probe structured flowchart of the utility model one embodiment.
Fig. 3 illustrates the y-type optical fiber schematic diagram of the sampling probe of the utility model one embodiment.
Fig. 4 illustrates the beam splitting system light path of the sampling probe of the utility model one embodiment.
Fig. 5 illustrates the intelligent control module structured flowchart of the sampling probe of the utility model one embodiment.
Fig. 6 illustrates the authentication center system connection diagram of the utility model one embodiment.
Fig. 7 illustrates the identification system workflow diagram of the utility model one embodiment.
Embodiment
Design of the present utility model is, sets up a kind of near-infrared food security identification system by distributed sampling probe, networking terminal and concentrated authentication center system combination.Portable and inexpensive sampling probe can extensively be configured to geographical each small entity of disperseing, for example family, the retail shop etc. of going up.Sampling probe can be responsible for the scene detection of food and gather the spectrum of food.By networking terminal miscellaneous, for example desktop computer, notebook computer, panel computer, smart mobile phone etc., the spectrum that sampling probe is gathered can be through internet transmission to the authentication center system.In the authentication center system, disposed near infrared spectrometer carrying out spectrum analysis, and set up kind extensively and the food dactylogram picture library that can be retrieved fast for comparison and pattern recognition.The result who differentiates and possible solution suggestion can offer each small entity user by the Internet conversely.
The advantage of this near-infrared food security identification system is that the equipment that each small entity is equipped with is small-sized and affordable, and the analysis ability that the authentication center system provides is enough powerful.In addition, by means of the food dactylogram of collecting each dispersion user, it is perfect rapidly to make that the food dactylogram picture library of authentication center system and Mathematical Modeling thereof are able to, and shares with each terminal use conversely.
Implementation process of the present utility model is more detailed description hereinafter.
Fig. 1 illustrates the identification system structured flowchart of the utility model one embodiment.With reference to shown in Figure 1, near-infrared food security identification system 100 can comprise a plurality of sampling probes 101,102,103, a plurality of networking terminals 104,105,106, the Internet 110 and authentication center system 120.These sampling probes 101-103 is provided to each terminal use, for example family, retail shop place.Sampling probe 101-103 preferably is embodied as small-sized and portable, can conveniently hand.In an embodiment of the present utility model, sampling probe can be embodied as the autonomous device that the sampling function is only arranged.In another embodiment of the present utility model, sampling probe can be embodied as and be integrated in another equipment.For example be embodied as among the embodiment of panel computer 105 or smart mobile phone 106 in the networking terminal, sampling probe 102,103 can be integrated into respectively on panel computer 105, the smart mobile phone 106.The networking terminal may be embodied as desktop computer 104 well-known to those skilled in the art, panel computer 105 or smart mobile phone 106, also may be embodied as the equipment that other have network savvy.In another embodiment of the present utility model, also can be in sampling probe integrated network savvy.For example in sampling probe, increase the mobile network communication module.
When sampling probe is the equipment that separates with the networking terminal, can connect by connecting line or Connection Block between them, also can be by short-distance radio network communication.For example sampling probe 101 can be connected to desktop computer 104 by the USB connecting line; Sampling probe 102 can be communicated by letter with panel computer 105106 by the ZigBee agreement; Sampling probe 103 can be communicated by letter with smart mobile phone 106 by Bluetooth protocol.
Because every kind of raw material have a kind of fingerprint spectrogram of uniqueness, these spectrograms reflect the spectral principle of raw-material chemistry and physical property, therefore store a concentrated food dactylogram picture library 122 in server 121.And topological algorithm and analysis data model based on mode identification method in food dactylogram picture library 122, have been set up.Food dactylogram picture library 122 can be used as the comparison basis of the food spectrum that the terminal use sends, and can also enrich constantly in a large amount of discriminating services and perfect.
Fig. 2 illustrates the sampling probe structured flowchart of the utility model one embodiment.With reference to shown in Figure 2, it is the near infrared spectrum wave band of 700-2500nm that the sampling probe 200 of an embodiment is designed to back-up system application wavelength, and sampling probe 200 can adopt the diffuse reflection sample mode.The structure of sampling probe 200 can be similar to portable near infrared detection instrument, it comprises led light source 201, optical fiber 202, optics beam splitting system 203, CCD(Charge-coupled Device, charge coupled cell) signal acquisition module 204, intelligent control module 205 and communication module 206.
Sampling probe 200 detects the diffuse reflection near infrared spectrum data of tested food 210 by optical fiber 202.Optical fiber 202 is generally y-type optical fiber 300 as shown in Figure 3.Y-type optical fiber 300 has light source interface 301 and signaling interface 302.Light source interface 301 links to each other with led light source 201.Penetrate from y-type optical fiber 300 through the light source interface 301 of y-type optical fiber 300 1 ends from the light of led light source 201 emissions, be radiated on the tested food 310.This light after 310 reflections of tested food by y-type optical fiber the other end---signaling interface 302 enters optics beam splitting system 203.
Fig. 4 illustrates the optics beam splitting system light path of the sampling probe of the utility model one embodiment.With reference to shown in Figure 4, optics beam splitting system 203 can comprise plane mirror 401, collimation spherical mirror 402, grating 403, imaging mirror 404 and line array CCD 405 according to the light path order.Enter the light of optics beam splitting system 203 through repeatedly being radiated on the line array CCD 405 after the reflection.The signal that line array CCD 405 senses is analog signal, after it and is changed into digital quantity 204 collections of ccd signal acquisition module, finishes transmission by communication module 206.
When adopting the short-distance wireless communication scheme, communication module 206 can adopt the compatible chip CC2540 of TI company or CC2530 low-power consumption bluetooth or ZigBee communication module.
Fig. 6 illustrates the authentication center system connection diagram of the utility model one embodiment.With reference to shown in Figure 6, the authentication center system comprises server 121, near infrared spectrometer 123 and short distance communication network.
Short distance communication network further is made up of ZigBeezo router one 24, ZigBee telegon 125 and ZigBeezo terminal module 126.Configuration ZigBee telegon 125 in the server 121.Configuration ZigBeezo terminal module 126 in each near infrared spectrometer 123.24 communications that are used between ZigBee telegon 125 and the ZigBeezo terminal module 126 of ZigBeezo router one.
Certainly, the networking mode between server 121 and each near infrared spectrometer 123 is not limited to the ZigBee agreement, also can be other short-range communication protocols, for example WLAN.
The spectrometer of the near infrared spectrum wave band that it is 700-2500nm that near infrared spectrometer 123 can be selected this system applies wavelength of existing support.Detected food at different can dispose different near infrared spectrometer 123.Therefore for the user, can freely select different types of detected food, and can both obtain to differentiate service, this compares the scheme of locating to be equipped with single near infrared detection instrument the user, can realize the standardization of terminal use's product and the near infrared technology domestic. applications of low price.For whole industry, can save analysis, computing and the storage resources of instrument simultaneously.
As mentioned before, server 121 has been set up food dactylogram picture library 122.Food dactylogram picture library 122 adopts near infrared spectrum topological data library structure.In one embodiment, database structure can be used for reference the medicine cupboard structure of the shop of Chinese medicines, and each library unit (" drawer ") is placed a kind of sample, and gives each library unit a specific coding.The key of topological database is the near-infrared spectra characteristic information extraction variable from each sample, determines the numbering of each sample accordingly.Unknown measured object is retrieved result and the respective handling method that may exist in topological database as follows:
(1) retrieve identical numbered samples in topological database, then the character of this measured object is numbered character data stored in the corresponding library unit by this and is provided;
(2) in topological database, do not retrieve identical numbered samples, then adopt:
A. getting certain retrieval length r(r can change according to the concrete condition that the stored character data in unit in the topological database distributes and explanation requires to sample characteristic) the searching near library unit.
B. search for the contiguous library unit sample of some, get the measured object character data by the The Fitting Calculation to their character.
C. as above-mentioned the two all do not have, utilize standard method to measure character data, and by numbering it inserted in the corresponding library unit, expand the storehouse operation.
In embodiment of the present utility model, the characteristic information variable that is used for the structure sample encoded comprises:
The wavelength variable of choosing by chemical knowledge and optimization method or mathematical combination of these variablees etc.;
The characteristic wavelength of choosing according to chemical knowledge is interval or cover area;
Spectrum is carried out coefficient that Mathematical treatment such as wavelet transformation or Fourier transform obtain or their mathematical combination etc.
Fig. 7 illustrates the identification system workflow diagram of the utility model one embodiment.In conjunction with reference to Fig. 1 and shown in Figure 7, carry out near infrared spectra collection in step 701.In this step, sampling probe 101-103 will finish the near infrared spectra collection to food.From user perspective, its operating procedure is carried out food sampling, namely turns on the power switch, and sampling probe 101-103 aims at tested food, presses the scanning button, when indicator light by the red stain green, i.e. sampling is finished.In step 702, carry out data and handle.In this step, under situation about participating in without the user, with the analog signal conversion of the representative spectrum gathered be digital signal and send before necessity handle.Carrying out data in step 703 transmits.Under user's instruction, on sampling probe, select the log-on data transmitting function, and visit the website of authentication center system 120 by the such networking terminal 104-106 of desktop computer, panel computer or smart mobile phone.In the accession page that the website presents, the prompting user is imported the employed sampling probe product ID of user in " product ID " hurdle of website, in " measured object type " selectionbar, select type of items.After the user makes above-mentioned selection, spectroscopic data will be uploaded to server 121 from networking terminal 104-106.In alternate embodiment, the probe product ID can be obtained by networking terminal 104-106 and transmit to server 121 automatically.In step 704, server 121 is with the identification probe product ID.The probe product ID may be used for helping to judge whether this visit of user is legal.For example whether this probe is the authorizing product that the operator of authentication center system 120 allows.Probe by identification will be allowed to receive its spectroscopic data, and in step 705, server 121 will carry out data and receive.In step 706, server 121 will be preserved spectroscopic data, and differentiate under near infrared spectrometer helps.The bearing reaction of differentiating is differentiated the safe class of food, and for example whether rotten etc. whether food contain harmful substance.Further, in step 707, server 121 can be on the basis of the safe class of food the retrieval process scheme, for example be edible this food, or abandon this food etc.At last, in step 708, present its safe class of being differentiated food at display page as a result to the user and handle suggestion with corresponding.
The identification system of the utility model above-described embodiment is by quick discriminating and corresponding correct food processing method, the fail safe that has improved food to greatest extent.Simultaneously owing to adopted the compound mode of distributed probe and authentication center, by popularizing of networking terminal and network, make the original expensive equipment based on the near infrared detection technology can realize the small entity application, thereby improve the distinguishing ability of food securities such as family, shop.
Consider present food Security Status, identification system of the present utility model can preferentially be used in the safe class of vegetable and fruit pesticide residue, cereals, edible oil and differentiate.
Though the utility model is described with reference to current specific embodiment, but those of ordinary skill in the art will be appreciated that, above embodiment illustrates the utility model, under the situation that does not break away from the utility model spirit, also can make variation or the replacement of various equivalences, therefore, as long as in connotation scope of the present utility model in the scope to the variation of above-described embodiment, claims that modification all will drop on the application.
Claims (7)
1. near-infrared food security identification system is characterized in that comprising:
Sampling probe, the near infrared spectrum data that is used for gathering tested food;
The networking terminal connects this sampling probe, in order to transmit this near infrared spectrum data;
The authentication center system, be connected with this networking terminal by the Internet, this authentication center system comprises server and is connected to the near infrared spectrometer of this server, this server is used for using this near infrared spectrometer and a food dactylogram picture library to identify the safe class that this near infrared spectrum is differentiated the tested food that this near infrared spectrum data reflects, and is transferred to this networking terminal.
2. near-infrared food security identification system as claimed in claim 1 is characterized in that, this networking terminal be desktop computer, notebook computer, panel computer and smart mobile phone one of them.
3. near-infrared food security identification system as claimed in claim 1 is characterized in that, this networking terminal connects this sampling probe by connecting line or Connection Block.
4. near-infrared food security identification system as claimed in claim 1 is characterized in that, this networking terminal is communicated by letter with this sampling probe by short-range communication protocols.
5. near-infrared food security identification system as claimed in claim 1, it is characterized in that, this sampling probe comprises led light source, optical fiber, optics beam splitting system and the CCD signals acquisition module that connects successively, this sampling probe also comprises intelligent control module, this optics beam splitting system comprises the linear array charge coupled cell, and this intelligent control module is used for the work of control this led light source, this linear array charge coupled cell and this CCD signals acquisition module.
6. near-infrared food security identification system as claimed in claim 5 is characterized in that, this optical fiber is y-type optical fiber, and this y-type optical fiber comprises light source interface and signaling interface, and this light source interface connects this led light source, and this signaling interface connects this optics beam splitting system.
7. near-infrared food security identification system as claimed in claim 1 is characterized in that, this server and this near infrared spectrometer are by the ZigBee protocol communication.
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| CN 201320220865 CN203233450U (en) | 2013-04-27 | 2013-04-27 | Near-infrared food safety identification system |
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| CN 201320220865 CN203233450U (en) | 2013-04-27 | 2013-04-27 | Near-infrared food safety identification system |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103237078A (en) * | 2013-04-27 | 2013-08-07 | 翁整 | Near-infrared food safety identification system |
| CN103528962A (en) * | 2013-10-28 | 2014-01-22 | 湖南科技学院 | Portable fruit quality nondestructive detection device |
| CN103675225A (en) * | 2013-12-02 | 2014-03-26 | 华东理工大学 | Portable water quality detection instrument and method |
| CN103888566A (en) * | 2014-04-03 | 2014-06-25 | 杜晨林 | Mobile terminal |
| CN104182251A (en) * | 2014-08-12 | 2014-12-03 | 小米科技有限责任公司 | Crop characteristic detecting method, device and terminal |
| CN104931452A (en) * | 2015-06-10 | 2015-09-23 | 柳州市侗天湖农业生态旅游投资有限责任公司 | System for detecting tea leaves using infrared spectroscopy |
| CN106596435A (en) * | 2016-12-29 | 2017-04-26 | 湖南餐智科技有限公司 | Food material quality detecting system |
| CN106814042A (en) * | 2017-01-23 | 2017-06-09 | 清华大学 | Spectra collection and analysis system and its control method |
| CN107609881A (en) * | 2017-08-31 | 2018-01-19 | 维沃移动通信有限公司 | The authenticity verification method and mobile terminal of a kind of article |
| CN107807106A (en) * | 2016-09-07 | 2018-03-16 | 中兴通讯股份有限公司 | A kind of food determines method and device, mobile terminal |
| CN111257272A (en) * | 2020-03-02 | 2020-06-09 | 滕州市界河镇农业综合服务中心 | Portable potato detection device based on thing networking |
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2013
- 2013-04-27 CN CN 201320220865 patent/CN203233450U/en not_active Expired - Lifetime
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103237078A (en) * | 2013-04-27 | 2013-08-07 | 翁整 | Near-infrared food safety identification system |
| CN103528962A (en) * | 2013-10-28 | 2014-01-22 | 湖南科技学院 | Portable fruit quality nondestructive detection device |
| CN103675225A (en) * | 2013-12-02 | 2014-03-26 | 华东理工大学 | Portable water quality detection instrument and method |
| CN103888566A (en) * | 2014-04-03 | 2014-06-25 | 杜晨林 | Mobile terminal |
| CN104182251A (en) * | 2014-08-12 | 2014-12-03 | 小米科技有限责任公司 | Crop characteristic detecting method, device and terminal |
| CN104931452A (en) * | 2015-06-10 | 2015-09-23 | 柳州市侗天湖农业生态旅游投资有限责任公司 | System for detecting tea leaves using infrared spectroscopy |
| CN107807106A (en) * | 2016-09-07 | 2018-03-16 | 中兴通讯股份有限公司 | A kind of food determines method and device, mobile terminal |
| CN106596435A (en) * | 2016-12-29 | 2017-04-26 | 湖南餐智科技有限公司 | Food material quality detecting system |
| CN106814042A (en) * | 2017-01-23 | 2017-06-09 | 清华大学 | Spectra collection and analysis system and its control method |
| CN107609881A (en) * | 2017-08-31 | 2018-01-19 | 维沃移动通信有限公司 | The authenticity verification method and mobile terminal of a kind of article |
| CN107609881B (en) * | 2017-08-31 | 2021-04-16 | 维沃移动通信有限公司 | Method for verifying authenticity of article and mobile terminal |
| CN111257272A (en) * | 2020-03-02 | 2020-06-09 | 滕州市界河镇农业综合服务中心 | Portable potato detection device based on thing networking |
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