CN105973837A - Detecting method and detecting system of organic matter - Google Patents
Detecting method and detecting system of organic matter Download PDFInfo
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- CN105973837A CN105973837A CN201610321203.XA CN201610321203A CN105973837A CN 105973837 A CN105973837 A CN 105973837A CN 201610321203 A CN201610321203 A CN 201610321203A CN 105973837 A CN105973837 A CN 105973837A
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 239000005416 organic matter Substances 0.000 title abstract 6
- 238000001514 detection method Methods 0.000 claims abstract description 117
- 238000004891 communication Methods 0.000 claims abstract description 96
- 238000001228 spectrum Methods 0.000 claims abstract description 52
- 238000004458 analytical method Methods 0.000 claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 18
- 239000000126 substance Substances 0.000 claims description 25
- 238000004422 calculation algorithm Methods 0.000 claims description 12
- 230000003595 spectral effect Effects 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 11
- 241001269238 Data Species 0.000 claims description 9
- 238000004611 spectroscopical analysis Methods 0.000 claims description 6
- 238000003825 pressing Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 abstract description 8
- 239000007788 liquid Substances 0.000 abstract description 6
- 239000007787 solid Substances 0.000 abstract description 5
- 230000006870 function Effects 0.000 description 16
- 238000012549 training Methods 0.000 description 11
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- 235000013336 milk Nutrition 0.000 description 6
- 210000004080 milk Anatomy 0.000 description 6
- 238000012360 testing method Methods 0.000 description 6
- 238000013523 data management Methods 0.000 description 5
- 229910052736 halogen Inorganic materials 0.000 description 5
- 150000002367 halogens Chemical class 0.000 description 5
- 238000012423 maintenance Methods 0.000 description 5
- 238000000985 reflectance spectrum Methods 0.000 description 5
- 238000001237 Raman spectrum Methods 0.000 description 4
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- 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
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Chemical & Material Sciences (AREA)
- General Physics & Mathematics (AREA)
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Abstract
The invention provides a detecting method of an organic matter. The detecting method comprises the following steps: sending a detecting command to a user side handheld scanning device by utilizing a communication terminal of a user; carrying out spectrum scanning on a to-be-detected sample of the organic sample through the user side handheld scanning device, and sending obtained sample data to the communication terminal of the user; uploading the received sample data to a cloud server by the communication terminal of the user so as to carry out analysis processing, and receiving a result analyzed and processed by the cloud server. The invention also provides a detecting system of the organic matter. According to the technical scheme provided by the invention, rapid collection of a diffuse reflection spectrum of a solid organic matter and collection of a transmitted spectrum of a liquid organic matter can be realized, a detection analysis cloud engine is established by utilizing a cloud computation technology, a display and operating interface is provided by utilizing a smartphone APP (Application), and non-contact rapid detection can be carried out on the organic matter; the maintainability and the expansibility of a detection mathematic model are increased, and the using cost of the user is reduced.
Description
Technical field
The present invention relates to detection field, particularly relate to a kind of organic detection method and system thereof.
Background technology
The generation of molecular spectrum derives from the vibration of material molecule, analysis is usually used in judge that the structure of molecule is special
Levy.Near-infrared analysis and Raman spectrum analysis are two kinds of typical Molecular spectral analytical methods, its common feature
It is without detection sample being carried out complicated pre-treatment, being suitable for field quick detection.Raman spectrum analysis, especially
It is relative inexpensiveness Portable Raman spectrometer qualitative analysis at the scene in be widely used, and near-infrared
Spectrum analysis is then widely used in quantitative analysis.
Typical case's application qualitative analysis of Raman spectrum, as being used for drugs, blast in customs, safety check, method inspection
The investigation of thing, dangerous materials etc.；In pharmacy, pharmaceutically for detection and the true and false mirror of crude drug, excipient etc.
Fixed；For raw material, the detection of additive and substandard products, waste products screening on polymer, plastics；In ore deposit
Thing, jade, archaeology: component analysis and the situ appraisal of archaeology and age identify；At biology, medically do
Biomolecule (such as DNA) trace analysis etc.；At the energy, the new material structures analysis of chemical field and oil
Octane number determination etc.；Physics, chemical research do laboratory reaction monitoring and component structure analysis etc..
NIR technology is mainly in petrochemical industry, agricultural product, wine brewing, medicine, Quality of Dairy Products analysis
Etc. aspect obtain many successfully application.At petrochemical industry, the method can be used to measure fuel ice
Point, hydrocarbon compound etc.；It is used for analyzing the content of the compositions such as the moisture of grain, protein at agriculture field；
For detecting alcoholic strength, the local flavor of drinks, liquor-making raw material quality etc. in brewing industry；Pharmaceutical field is used for
The Contents of Main Components of detection medicine and analysis Chinese herb；For milk, milk powder in milk product is analyzed
Deng Contents of Main Components, including protein, fat, lactic acid etc., measure and the adulterated qualification of product.Separately
Outward, near-infrared is analyzed in biological tissue, the wine aspect such as vinegar, Folium Camelliae sinensis also has application.
At present, either Raman spectrum analysis or near-infrared spectrum analysis, all refer in its actual application
Two big key elements: technical device and modeling technique.In traditional molecular spectrum application model, owing to analyzing
Instrument volume is big, complexity is high and price is high, and models and need professional person, is therefore only limited in industry
Middle application, and cannot apply in the daily life of consuming public so that answering of this detection analysis means
It is not in full use by potentiality.
Summary of the invention
In view of this, it is an object of the invention to provide a kind of organic detection method and system thereof, it is intended to
Solve prior art causes the office of application owing to the complexity of technical device and modeling technique is high and price is high
Sex-limited, it is impossible to the problem of large-scale application in daily life.
The present invention proposes a kind of organic detection method, and described detection method includes:
The communication terminal utilizing user sends detection instruction to user side hand-hold scanning equipment；
By described user side hand-hold scanning equipment Organic substance detected sample carried out spectral scan, and will
The sample data arrived sends the communication terminal to user；
The sample data received is uploaded to cloud server and is analyzed processing by the communication terminal of user, and
Receive the result after described cloud server analyzes and processes.
Preferably, the described communication terminal utilizing user sends detection instruction to user side hand-hold scanning equipment
Step includes:
The detection APP interface of user's logging on communication terminal；
Detection instruction is sent to user side hand-hold scanning by pressing the detection button on described detection APP interface
Equipment.
Preferably, described by described user side hand-hold scanning equipment, Organic substance detected sample is carried out spectrum
Scanning, and the step of the sample data obtained transmission to the communication terminal of user is included:
By the spectra collection module of described user side hand-hold scanning equipment, Organic substance detected sample is carried out light
Spectrum scanning；
By the low-power consumption Bluetooth circuit of described user side hand-hold scanning equipment, the sample data obtained is sent extremely
The communication terminal of user.
Preferably, the sample data received is uploaded to cloud server and carries out by the communication terminal of described user
Analyze and process, and the step receiving the result after described cloud server analyzes and processes include:
The communication terminal of user receives the sample data of preset number and will include the sample number of whole preset number
According to being packaged into JSON array formats, wherein, preset number is 1024；
The communication terminal of user sends the hypertext pretreatment network of HTTP request extremely described cloud server and connects
Mouth die block；
The hypertext pretreatment Network Interface Module of described cloud server receives according to described HTTP request and uses
Whole sample datas that the communication terminal at family sends over, and judge whether data form meets call format；
If data format character closes call format, then call the MATLAB algorithm mould of described cloud server
Block, and run MATLAB and perform detection algorithm；
The MATLAB algoritic module of described cloud server according to the model trained in advance to whole samples
Data are analyzed, and analysis result feeds back to the hypertext pretreatment network interface of described cloud server
Module；
Analysis result is sent leading to user by the hypertext pretreatment Network Interface Module of described cloud server
Letter terminal.
On the other hand, the present invention also provides for a kind of organic detecting system, mainly includes the communication of user eventually
End, user side hand-hold scanning equipment and cloud server, wherein,
The communication terminal of user, is used for sending detection instruction to user side hand-hold scanning equipment；
User side hand-hold scanning equipment, for Organic substance detected sample carries out spectral scan, and will obtain
Sample data send to the communication terminal of user, wherein, the sample number that the communication terminal of user will receive
It is analyzed processing according to being uploaded to described cloud server；
Described cloud server, for receiving the sample data that the communication terminal of user is uploaded, and to described
Sample data is analyzed processing, and the result of analyzing and processing is back to the communication terminal of user.
Preferably, the communication terminal of described user includes detecting APP interface, and user logs in described detection APP
Interface, hand-held to described user side by pressing the detection button transmission detection instruction on described detection APP interface
Scanning device.
Preferably, described user side hand-hold scanning equipment includes: light source driving circuit, spectra collection module,
Control circuit, dataphone interface and low-power consumption Bluetooth circuit, wherein,
The luminous source that described light source driving circuit is described user side hand-hold scanning equipment provides and drives；
Described spectra collection module, for gathering the spectroscopic data of Organic substance detected sample；
Described control circuit, be used for connecting and control described light source driving circuit, described spectra collection module,
Dataphone interface and low-power consumption Bluetooth circuit；
Described dataphone interface, for being connected with compunlcation；
Described low-power consumption Bluetooth circuit, communicates for the communication terminal realized with user.
Preferably, described cloud server includes: hypertext pretreatment Network Interface Module and MATLAB
Algoritic module, wherein,
The communication terminal of described user, is additionally operable to receive the sample data of preset number and will include all presetting
The sample data of number is packaged into JSON array formats, and sends HTTP request to described hypertext and locate in advance
Reason Network Interface Module, wherein, preset number is 1024；
Described hypertext pretreatment Network Interface Module, for receiving the logical of user according to described HTTP request
Whole sample datas that letter terminal sends over, and judge whether data form meets call format, if number
Close call format according to format character, then call the MATLAB algoritic module of described cloud server；
Described MATLAB algoritic module, is used for running MATLAB and performing detection algorithm, and according to
Whole sample datas are analyzed by the model trained in advance, and analysis result feeds back to described hypertext
Pretreatment Network Interface Module；
Wherein, described hypertext pretreatment Network Interface Module is additionally operable to send analysis result leading to user
Letter terminal.
Preferably, described cloud server, it is additionally operable to set up special inspection for different organic detections
Survey model to form high in the clouds model library；The communication terminal of described user, is additionally operable to log in described detection APP circle
Face is by selecting download or buying corresponding detection model in the model library of described high in the clouds.
The Technical Design structure the most hand-held spectra collection equipment that the present invention provides, it is possible to achieve Gu
The Quick Acquisition of state organic diffuse-reflectance spectrum and the collection of the transmitted spectrum of liquid state organics, utilize cloud meter
Calculation technology establishes detection and analyzes cloud engine and utilize smart mobile phone APP to provide display and operation interface,
Organic substance can be carried out contactless quick detection, so improve detection mathematical model maintainability and
Autgmentability, reduces the use cost of user, further simplify the hardware of detecting instrument and reduces cost.
Accompanying drawing explanation
Fig. 1 is the internal structure schematic diagram of organic detecting system 10 in an embodiment of the present invention；
Fig. 2 is five pages detecting APP interface in an embodiment of the present invention；
Fig. 3 is the internal structure schematic diagram of user side hand-hold scanning equipment 12 in an embodiment of the present invention；
Fig. 4 is leading between the communication terminal 11 of cloud server 13 and user in an embodiment of the present invention
Letter Organization Chart；
Fig. 5 is the Organization Chart of cloud server 13 in an embodiment of the present invention；
Fig. 6 is organic detection method flow chart in an embodiment of the present invention.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and reality
Execute example, the present invention is further elaborated.Only should be appreciated that specific embodiment described herein
Only in order to explain the present invention, it is not intended to limit the present invention.
The specific embodiment of the invention provides a kind of organic detecting system 10, mainly includes that user's is logical
Letter terminal 11, user side hand-hold scanning equipment 12 and cloud server 13, wherein,
The communication terminal 11 of user, is used for sending detection instruction to user side hand-hold scanning equipment 12；
User side hand-hold scanning equipment 12, for Organic substance detected sample being carried out spectral scan, and will
The sample data arrived sends the communication terminal 11 to user, and wherein, the communication terminal 11 of user will receive
Sample data be uploaded to cloud server 13 be analyzed process；
Cloud server 13, for receiving the sample data that the communication terminal 11 of user is uploaded, and to institute
State sample data to be analyzed processing, and the result of analyzing and processing is back to the communication terminal 11 of user.
The organic detecting system of one 10 that the present invention provides, devises the hand-held spectra collection of flexible structure
Equipment (i.e. user side hand-hold scanning equipment 12), it is possible to achieve the diffuse-reflectance spectrum of solid organic quick
The collection of the transmitted spectrum of collection and liquid state organics, utilizes cloud computing technology to establish detection and analyzes cloud engine
(i.e. cloud server 13) and utilize smart mobile phone APP (i.e. the communication terminal 11 of user) to provide
Display and operation interface, can carry out contactless quick detection, and then improve detection mathematics organic substance
The maintainability of model and autgmentability, reduce the use cost of user, further simplify detecting instrument
Hardware and reduce cost, has expanded the range of application of quick detection.
Hereinafter detecting system organic to one provided by the present invention is described in detail.
Referring to Fig. 1, the internal structure for detecting system 10 organic in an embodiment of the present invention is illustrated
Figure.
In the present embodiment, organic detecting system 10 mainly includes the communication terminal 11 of user, uses
Family end hand-hold scanning equipment 12 and cloud server 13.
The communication terminal 11 of user, is used for sending detection instruction to user side hand-hold scanning equipment 12.
In the present embodiment, the communication terminal 11 of user can be such as the smart mobile phone of user, Er Qie
Having pre-installed mobile phone application software (APP) in this smart mobile phone, such as, detected APP, therefore, user's is logical
Letter terminal 11 includes detecting APP interface, and user logs in described detection APP interface, by by described detection
Detection button on APP interface sends detection instruction to user side hand-hold scanning equipment 12.
In the present embodiment, the communication terminal 11 of user provides user interface by mobile phone A PP, permissible
Android operation system and these platforms of IOS realize, and inspection involved in the present invention
Survey APP interface mainly to include log in page, homepage, the model list page, model the page and arrange the page five,
As shown in Figure 2.
Refer to Fig. 2, show in an embodiment of the present invention five pages at detection APP interface.
In the present embodiment, login page provides user to log in and registering functional, enters homepage page after login
Face, going up most of the homepage page is illustrated for animation, uses the mode display device scanning optical spectrum of animation and connects cloud
The process signal of end；Under, it is the rough display of testing result in the middle part of the page, the information of display is for currently to make
Detection model and the style of target substance and kind, the XX brand X section milk in differentiating such as milk powder
Powder；When clicking on after this part, enter secondary interface " the sub-interface of testing result ", list in detail each currently
Material is any information such as the attribute information such as kind, the place of production and each Contents of Main Components.And scheme in bottom
The mode of table presents, such as the pie chart of component content.Bottom circle is detection button, and after triggering, APP passes through
Bluetooth sends detection instruction to ustomer premises access equipment；Bottom left is settings button, enters and arrange the page after click；
The lower right corner is model button, enters the model list page after click." setting " is clicked on laggard at the homepage page
Enter " the model list page " arrange the page provide equipment connect arrange, user cipher amendment, switching user,
The parameter such as user's customized information beyond the clouds and help.
Click on " model " in homepage to enter " the model list page " afterwards.The top of this page lists currently
The model that user buys and sets up.The model wherein matching current detection uses the mode of normal display, its
Complementary modul type uses the mode that gray scale shows.After user " clicks " corresponding model icon, corresponding icon
Become and normally show and match current detection.User " double-clicks " corresponding model icon rear mold type specifically
Bright dialog box, illustrates the details of this model, such as self-built or purchase, function, effective time etc..Page
The bottom left end in face is " purchase " button, enters the model shop in high in the clouds after click, and needs can be selected to purchase
The model bought.The bottom left end of the page is " self-built " button, click on the self-built model interface of laggard access customer-
" the modeling page ".
The top of the modeling page is used for setting the property parameters of target detection thing corresponding to current light spectrum and composition contains
Amount parameter, such as the brand of present milk powder, the place of production, component content etc. interested.User can click on "+"
Button New anyAttribute.Noting, attribute did not allow again to change after setting up before setting up model." letter
Breath feedback " hurdle show the status information of equipment in spectra collection and upload procedure, wherein collection at present and on
The spectrum number passed must show." gathering spectrum and upload " button provides triggering user's hardware device to gather
The instruction of spectrum.Button of " setting up model ".Suitable number of spectrum is collected when user thinks, or cloud
After end return information suggestion spectrum number is suitable, user triggers this button, and APP sends the instruction setting up model
To high in the clouds, high in the clouds utilizes the data gathered to set up new detection model, and associates with the ID of user.Use afterwards
Family can use this new model to detect.
Please continue to refer to Fig. 1, user side hand-hold scanning equipment 12, for carrying out Organic substance detected sample
Spectral scan, and the sample data obtained is sent the communication terminal 11 to user, wherein, the communication of user
The sample data received is uploaded to cloud server 13 and is analyzed processing by terminal 11.
In the present embodiment, user side hand-hold scanning equipment 12 includes: light source driving circuit, spectra collection
Module, control circuit, dataphone interface and low-power consumption Bluetooth circuit, as shown in Figure 3.
Refer to Fig. 3, show the internal junction of user side hand-hold scanning equipment 12 in an embodiment of the present invention
Structure schematic diagram.
In the present embodiment, user side hand-hold scanning equipment 12 can be the hand-held spectrum of structure flexible design
Collecting device, for carrying out spectral scan to Organic substance detected sample.
The luminous source that light source driving circuit is user side hand-hold scanning equipment 12 provides and drives.In present embodiment
In, luminous source uses low-voltage halogen lamp to produce the continuous spectrum needed, it is also possible to infrared thermal source (rice bubble)
Or infrared LED array replaces.The concrete model of the Halogen light used in the present invention is Wei Lun company of the U.S.
(WelchAllyn) 997418-21 low-voltage halogen lamp.There is collecting lens the front end of this Halogen light,
The hot spot of 3mm diameter can be formed in the distance of 2 centimetres, operating current 0.4A, running voltage 3.5V,
1000 hours life-spans.Being driven to based on N-channel MOS pipe FDT439N and operational amplifier of Halogen light
The Control of Voltage adjustable constant flow source circuit that TLV2252A is constituted.This constant-current source circuit uses 5V single supply to supply
Electricity.Constant-current source circuit includes: operational amplifier TLV2252A (U5), resistor R4-R8, capacitor
C22-C26 and diode D1 (B5819WS).Wherein U5 is double operational, and U5A constitutes metal-oxide-semiconductor
Drive circuit, U5B and R6, R7 constitute in-phase amplifier, export the negative feedback as U5A.U5's
5th pin is connected with sampling resistor R5 one end that resistance is 0.1 ohm, constitutes negative feedback loop.This constant current
The Current calculation formula of source circuit is: I=U/G/R5=U, and wherein U is 12 D/A of main control MCU
Output voltage, G is the amplification of U5B amplifying circuit, is 1+R7/R6=10.09 herein；R5 is sampling
Resistance.When using the 1.2V reference voltage within U2, electric current theoretical value is up to 1.2A, precision
10mA.TLV2252A is that single supply is powered operational amplifier, and output voltage can arrive power supply VSS.
Wherein, constant-current source operation principle is: master control U2 starts D/A and produces required voltage, under transient state, amplifies
Device U5A outfan is the most saturated so that metal-oxide-semiconductor Q1 turns on, and after conducting, on R5, terminal voltage gradually rises,
The output voltage of U5B raises accordingly and causes the output of U5A to be gradually lowered simultaneously, is finally reached balance, flat
During weighing apparatus, the 3rd of U5A the is identical with 2 pin voltage, obtains the theoretical output electric current needed, defeated as D/A
Going out voltage when being 0, output electric current is zero, and specifically, resistance is that the earth resistance R6 of 10K is to ensure that
Current source is now output as the key of 0.
Spectra collection module, for gathering the spectroscopic data of Organic substance detected sample.In the present embodiment,
Spectra collection module uses the Short-wave near-infrared spectroscopy instrument STS-NIR of U.S.'s marine optics, this spectra collection mould
Block structure is compact, small and exquisite, 40x42x24mm, by a miniHDMI and MicroUSB interface
With PERCOM peripheral communication.Using miniHDMI interface communication in the present invention, this interface is is 19 at physical layer
The miniHDMI interface shape of pin, protocol level is then RS232 interface, devises based on MAX3232
Level shifting circuit communicate with MCU.The entrance slit of the employing of STS-NIR 50 microns in the present invention,
The requirement of luminous flux and resolution can be taken into account, be suitable for the quantitative analysis application of short wavelength-NIR.This spectrum
Acquisition module is a kind of spectra collection system using fixed light path grating beam splitting to combine linear array cmos detector
System, its parameter is as follows: spectral region: 650-1100；Spectrum is counted: 1024；Optical resolution: 5nm；
Signal to noise ratio: > 1500:1；Dynamic range: 4600:1.
Control circuit, is used for connecting and control described light source driving circuit, described spectra collection module, computer
Communication interface and low-power consumption Bluetooth circuit.In the present embodiment, the main control MCU of control circuit uses and flies
The microcontroller of the ARM Cortex-M0+ kernel of freescale semiconductor company, concrete model is
MKL27Z128VFT4, this chip is the QFN encapsulation of 48 feet, has the inside FLASH of 128KB
Memorizer and the SRAM of 32KB, peripheral interface circuit and equipment are abundant, as the control core of the present invention,
The ancillary equipment used has: the linear voltage-stabilizing circuit of 3.3V, 3 serial communication interfaces and 12 DAC.
The linear voltage-stabilizing circuit of 3.3V is for being changed into 3.3V output the 5V DC voltage of input, as control
The power supply of circuit.The output of 12 DAC is as the control voltage of Control of Voltage tabilized current power supply.
Three UART communication interfaces (UART0/UART1/UART2) of MKL27Z128VFT4 are used for master control
Interface with spectra collection module, bluetooth communication circuit and compunlcation.The baud rate wherein communicated is preferably
115200bps。
Dataphone interface, for being connected with compunlcation.
Low-power consumption Bluetooth circuit, communicates for the communication terminal realized with user.In the present embodiment,
Low-power consumption Bluetooth circuit achieves communication terminal (smart mobile phone of the such as user) company of communicating with user
Connect.In the present embodiment, hardware: use NRF51822 Bluetooth Low Energy SOC of NORDIC, symbol
Close bluetooth 4.0 and 4.1 single mode standard.Bluetooth firmware: GAP slave mode, broadcast self information is for mobile phone
Connect.
Please continue to refer to Fig. 1, cloud server 13, for receiving the sample that the communication terminal 11 of user is uploaded
Notebook data, and be analyzed described sample data processing, and the result of analyzing and processing is back to user
Communication terminal 11.
In the present embodiment, cloud server 13 includes: hypertext pretreatment (Hypertext
Preprocessor, PHP) Network Interface Module, MATLAB algoritic module and PHP data management safeguard
Module, wherein, the communication terminal 11 of cloud server 13 (i.e. Server end in figure) and user is (i.e.
Mobile phone terminal in figure) between communication construction as shown in Figure 4.
In the present embodiment, cloud server 13, it is additionally operable to set up specially for different organic detections
Detection model to form high in the clouds model library；The communication terminal 11 of user, is additionally operable to log in described detection
APP interface is by selecting download or buying corresponding detection model in the model library of described high in the clouds.Such one
Coming, user utilizes its communication terminal 11 to log in detection APP interface, and finds in this detection APP interface
High in the clouds model library, extends by selecting to download or buy corresponding detection model from the model library in high in the clouds
The detection range of application of user's equipment of itself, certainly, user can also be according to operating step accordingly on APP
Suddenly detection model is set up voluntarily, to further expand the detection range of application of user's equipment of itself.
Refer to Fig. 4, show cloud server 13 and the communication terminal of user in an embodiment of the present invention
Communication construction figure between 11.
The communication terminal (i.e. mobile phone terminal in Fig. 4) of user, is additionally operable to receive the sample data of preset number
And the sample data including whole preset number is packaged into JSON array formats, and send HTTP request
To the PHP Network Interface Module of cloud server 13 (i.e. Server end in Fig. 4) (i.e. in Fig. 4
PHP), wherein, preset number is 1024, and this numerical value can be according to user side hand-hold scanning equipment difference
Revise accordingly.
PHP Network Interface Module, is transmitted across for receiving the communication terminal of user according to described HTTP request
The whole sample datas come, and judge whether data form meets call format, if data format character is qualified
Formula requirement, then call the MATLAB algoritic module of described cloud server 13 (i.e. in Fig. 4
MATLAB)。
MATLAB algoritic module, is used for running MATLAB and performing detection algorithm, and according in advance
Whole sample datas are analyzed by the model trained, and analysis result feeds back to PHP network interface mould
Block, wherein, PHP Network Interface Module is additionally operable to analysis result is sent the communication terminal 11 to user.
In the present embodiment, the whole execution flow process shown in Fig. 4 is: mobile phone terminal send HTTP request to
Backstage, by collect 1024, (this numerical value can carry out corresponding according to user side hand-hold scanning equipment difference
Amendment) integer data is packaged into JSON array formats；The request data received first is checked by PHP
See and whether meet call format；MATLAB is mounted on cloud server, so PHP direct image is adjusted
Equally run MATLAB by the mode of order with linux system order, perform detection algorithm, by JSON
Array is using the form of character string as the input of algorithm；MATLAB Treatment Analysis returns result to after completing
PHP, PHP extract effective information and return to mobile phone terminal.
Refer to Fig. 5, show the Organization Chart of cloud server 13 in an embodiment of the present invention.
In the present embodiment, cloud server 13 framework mainly includes server and the big portion of data base two
Point, wherein server includes PHP Network Interface Module, MATLAB algoritic module and PHP data management
The module of maintenance module three segmentation.
In the present embodiment, PHP Network Interface Module is responsible for mutual with mobile phone terminal, response mobile phone terminal
HTTP request, the sample data sended over by mobile phone terminal is passed to MATLAB, and is obtained analysis result.
MATLAB module receives the sample data that transmits of PHP Network Interface Module and according to instructing the most in advance
The model perfected is analyzed, and result feeds back to PHP Network Interface Module.
PHP data management maintenance module is then responsible for processing management and maintenance, the PHP network interface mould of data base
Block can be mutual with data base by data management maintenance module, renewal training data again training pattern,
MATLAB algoritic module can obtain training data by data management maintenance module.
In the present embodiment, the detection algorithm that cloud server 13 is run is mainly real by MATLAB
Existing, without loss of generality as a example by the detection of 4 kinds of spectroscopic datas, be described as follows:
First, program passes through SpectrumCLassification_newData.m file start, from local spectrum
Data set SpectrumData.xlsx kind reads 4 kinds of spectroscopic datas, and (every section of spectroscopic data is by 1024 samplings
Point collection forms), it is stored in s1 respectively, s2, s3 and s4 kind, and difference tagged 0,1,2,3.So
Rear respectively in every class spectrum extract 75% data as training sample s_trainSample, the data of 25%
As training sample s_testSample；
Secondly, call function trainSpectrumAndTest () function and carry out model training.This function input instruction
Practice sample and test sample s_trainSample, s_testSample output category model
SpectrumClassModel, multiplicative scatter correction spectrum idealSpectra and data normalization model ps.
First this function carries out pretreatment to training sample and test sample, smooths respectively, seeks log10, asks one
Rank are led, and it is interval that multiplicative scatter correction is finally normalized to [-1,1], is wherein carrying out multiplicative scatter correction and normalizing
Averaged spectrum sample idealSpectra and normalization creep function ps is produced respectively, after the two variable during change
It is also required to return to principal function；
Then, it is input in svmtrain () function hand over by the training sample s_trainNorm after normalization
Fork checking (wherein-v3 represent training sample is divided into 3 parts), the most constantly changes penalty parameter c, g
Value be iterated, eventually find the highest penalty parameter c of classification accuracy, g punishes parameter as optimum
optc、optg.Then by the training sample s_trainNorm after normalization and penalty parameter c, g input
In svmtrain () function, the selected linear kernel function of kernel function (svmtrain ()-t parameter take 2) trains one
Disaggregated model model.And use svmpredict function to test, classification results is stored in predict_label
In, classification accuracy is stored in acc, class probability is stored in prob and output category device performance indications；
Finally, being inputted in svmtrain () by training sample and be trained together with test sample, punishment parameter takes
Optimum punishment parameter, and by the spectrumClassModel of output and above generate and ps return to main
Function.They are saved in local Model.m file by principal function.Wherein, user can call API letter
Number applyModel () uses the model trained by SpectrumCLassification_newData.m script,
But must assure that before calling API that SpectrumCLassification_newData.m has run at least one times, make
Local must generate Model.m file.
The organic detecting system of one 10 that the present invention provides, devises the hand-held spectra collection of flexible structure
Equipment (i.e. user side hand-hold scanning equipment 12), it is possible to achieve the diffuse-reflectance spectrum of solid organic quick
The collection of the transmitted spectrum of collection and liquid state organics, utilizes cloud computing technology to establish detection and analyzes cloud engine
(i.e. cloud server 13) and utilize smart mobile phone APP (i.e. the communication terminal 11 of user) to provide
Display and operation interface, can carry out contactless quick detection, and then improve detection mathematics organic substance
The maintainability of model and autgmentability, reduce the use cost of user, further simplify detecting instrument
Hardware and reduce cost, has expanded the range of application of quick detection.
The specific embodiment of the invention also provides for a kind of organic detection method, specifically includes that
S11, utilize user communication terminal send detection instruction to user side hand-hold scanning equipment；
S12, by described user side hand-hold scanning equipment, Organic substance detected sample is carried out spectral scan, and
The sample data obtained is sent the communication terminal to user；
The sample data received is uploaded to cloud server and is analyzed place by S13, the communication terminal of user
Reason, and receive the result after described cloud server analyzes and processes.
The organic detection method of one that the present invention provides, the hand-held spectra collection devising flexible structure sets
Standby (i.e. user side hand-hold scanning equipment 12), it is possible to achieve quickly adopting of the diffuse-reflectance spectrum of solid organic
The collection of the transmitted spectrum of collection and liquid state organics, utilizes cloud computing technology to establish detection and analyzes cloud engine (i.e.
Cloud server 13) and utilize smart mobile phone APP (i.e. the communication terminal 11 of user) to provide display
With operation interface, organic substance can be carried out contactless quick detection, and then improve detection mathematical model
Maintainability and autgmentability, reduce the use cost of user, further simplify the hardware of detecting instrument
With reduce cost, expanded the range of application of quick detection.
Hereinafter detection method organic to one provided by the present invention is described in detail.
Refer to Fig. 6, for detection method flow chart organic in an embodiment of the present invention.
In step s 11, the communication terminal utilizing user sends detection instruction to user side hand-hold scanning equipment.
In the present embodiment, the communication terminal of the described user of utilization sends to detect to instruct and sweeps to user side is hand-held
Step S11 retouching equipment includes:
The detection APP interface of user's logging on communication terminal；
Detection instruction is sent to user side hand-hold scanning by pressing the detection button on described detection APP interface
Equipment.
In the present embodiment, the communication terminal 11 of user can be such as the smart mobile phone of user, Er Qie
Having pre-installed mobile phone application software (APP) in this smart mobile phone, such as, detected APP, therefore, user's is logical
Letter terminal 11 includes detecting APP interface, and user logs in described detection APP interface, by by described detection
Detection button on APP interface sends detection instruction to user side hand-hold scanning equipment 12.
In the present embodiment, the communication terminal 11 of user provides user interface by mobile phone A PP, permissible
Android operation system and these platforms of IOS realize, and inspection involved in the present invention
Survey APP interface mainly to include log in page, homepage, the model list page, model the page and arrange the page five,
As in figure 2 it is shown, at this not repeated description.
In step s 12, by described user side hand-hold scanning equipment, Organic substance detected sample is carried out light
Spectrum scanning, and the sample data obtained is sent the communication terminal to user.
In the present embodiment, described by described user side hand-hold scanning equipment to Organic substance detected sample
Carry out spectral scan, and step S12 that the sample data obtained sends the communication terminal to user include:
By the spectra collection module of described user side hand-hold scanning equipment, Organic substance detected sample is carried out light
Spectrum scanning；
By the low-power consumption Bluetooth circuit of described user side hand-hold scanning equipment, the sample data obtained is sent extremely
The communication terminal of user.
In step s 13, the sample data received is uploaded to cloud server and enters by the communication terminal of user
Row analyzing and processing, and receive the result after described cloud server analyzes and processes.
In the present embodiment, the sample data received is uploaded to high in the clouds clothes by the communication terminal of described user
Business device is analyzed processing, and receives step S13 of the result after described cloud server analyzes and processes
Including:
The communication terminal of user receives the sample data of preset number and will include the sample number of whole preset number
According to being packaged into JSON array formats, wherein, preset number is 1024, and this numerical value can be according to user side hands
Hold scanning device difference and revise accordingly；
The communication terminal of user sends the hypertext pretreatment network of HTTP request extremely described cloud server and connects
Mouth die block；
The hypertext pretreatment Network Interface Module of described cloud server receives according to described HTTP request and uses
Whole sample datas that the communication terminal at family sends over, and judge whether data form meets call format；
If data format character closes call format, then call the MATLAB algorithm mould of described cloud server
Block, and run MATLAB and perform detection algorithm；
The MATLAB algoritic module of described cloud server according to the model trained in advance to whole samples
Data are analyzed, and analysis result feeds back to the hypertext pretreatment network interface of described cloud server
Module；
Analysis result is sent leading to user by the hypertext pretreatment Network Interface Module of described cloud server
Letter terminal.
The organic detection method of one that the present invention provides, the hand-held spectra collection devising flexible structure sets
Standby (i.e. user side hand-hold scanning equipment 12), it is possible to achieve quickly adopting of the diffuse-reflectance spectrum of solid organic
The collection of the transmitted spectrum of collection and liquid state organics, utilizes cloud computing technology to establish detection and analyzes cloud engine (i.e.
Cloud server 13) and utilize smart mobile phone APP (i.e. the communication terminal 11 of user) to provide display
With operation interface, organic substance can be carried out contactless quick detection, and then improve detection mathematical model
Maintainability and autgmentability, reduce the use cost of user, further simplify the hardware of detecting instrument
With reduce cost, expanded the range of application of quick detection.
It should be noted that in above-described embodiment, included unit is simply carried out according to function logic
Divide, but be not limited to above-mentioned division, as long as being capable of corresponding function；It addition, it is each
The specific name of functional unit, also only to facilitate mutually distinguish, is not limited to the protection model of the present invention
Enclose.
It addition, one of ordinary skill in the art will appreciate that the whole or portion realizing in the various embodiments described above method
The program that can be by step by step completes to instruct relevant hardware, and corresponding program can be stored in a meter
In calculation machine read/write memory medium, described storage medium, such as ROM/RAM, disk or CD etc..
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all at this
Any amendment, equivalent and the improvement etc. made within bright spirit and principle, should be included in the present invention
Protection domain within.
Claims (9)
1. an organic detection method, it is characterised in that described detection method includes:
The communication terminal utilizing user sends detection instruction to user side hand-hold scanning equipment；
By described user side hand-hold scanning equipment Organic substance detected sample carried out spectral scan, and will
The sample data arrived sends the communication terminal to user；
The sample data received is uploaded to cloud server and is analyzed processing by the communication terminal of user, and
Receive the result after described cloud server analyzes and processes.
Organic detection method the most as claimed in claim 1, it is characterised in that described utilize user's
Communication terminal sends detection instruction and includes to the step of user side hand-hold scanning equipment:
The detection APP interface of user's logging on communication terminal；
Detection instruction is sent to user side hand-hold scanning by pressing the detection button on described detection APP interface
Equipment.
Organic detection method the most as claimed in claim 1, it is characterised in that described by described use
Family end hand-hold scanning equipment carries out spectral scan to Organic substance detected sample, and the sample data obtained is sent out
The step of the communication terminal delivering to user includes:
By the spectra collection module of described user side hand-hold scanning equipment, Organic substance detected sample is carried out light
Spectrum scanning；
By the low-power consumption Bluetooth circuit of described user side hand-hold scanning equipment, the sample data obtained is sent extremely
The communication terminal of user.
Organic detection method the most as claimed in claim 1, it is characterised in that the communication of described user
The sample data received is uploaded to cloud server and is analyzed processing by terminal, and receives through described cloud
The step of the result after end server analysis process includes:
The communication terminal of user receives the sample data of preset number and will include the sample number of whole preset number
According to being packaged into JSON array formats, wherein, preset number is 1024；
The communication terminal of user sends the hypertext pretreatment network of HTTP request extremely described cloud server and connects
Mouth die block；
The hypertext pretreatment Network Interface Module of described cloud server receives according to described HTTP request and uses
Whole sample datas that the communication terminal at family sends over, and judge whether data form meets call format；
If data format character closes call format, then call the MATLAB algorithm mould of described cloud server
Block, and run MATLAB and perform detection algorithm；
The MATLAB algoritic module of described cloud server according to the model trained in advance to whole samples
Data are analyzed, and analysis result feeds back to the hypertext pretreatment network interface of described cloud server
Module；
Analysis result is sent leading to user by the hypertext pretreatment Network Interface Module of described cloud server
Letter terminal.
5. an organic detecting system, it is characterised in that described detecting system includes: the communication of user
Terminal, user side hand-hold scanning equipment and cloud server, wherein,
The communication terminal of user, is used for sending detection instruction to user side hand-hold scanning equipment；
User side hand-hold scanning equipment, for Organic substance detected sample carries out spectral scan, and will obtain
Sample data send to the communication terminal of user, wherein, the sample number that the communication terminal of user will receive
It is analyzed processing according to being uploaded to described cloud server；
Described cloud server, for receiving the sample data that the communication terminal of user is uploaded, and to described
Sample data is analyzed processing, and the result of analyzing and processing is back to the communication terminal of user.
Organic detecting system the most as claimed in claim 5, it is characterised in that the communication of described user
Terminal includes detecting APP interface, and user logs in described detection APP interface, by by described detection APP
Detection button on interface sends detection instruction to described user side hand-hold scanning equipment.
Organic detecting system the most as claimed in claim 5, it is characterised in that described user side is hand-held
Scanning device includes: light source driving circuit, spectra collection module, control circuit, dataphone interface and low
Power consumption Bluetooth circuit, wherein,
The luminous source that described light source driving circuit is described user side hand-hold scanning equipment provides and drives；
Described spectra collection module, for gathering the spectroscopic data of Organic substance detected sample；
Described control circuit, be used for connecting and control described light source driving circuit, described spectra collection module,
Dataphone interface and low-power consumption Bluetooth circuit；
Described dataphone interface, for being connected with compunlcation；
Described low-power consumption Bluetooth circuit, communicates for the communication terminal realized with user.
Organic detecting system the most as claimed in claim 5, it is characterised in that described cloud server
Including: hypertext pretreatment Network Interface Module and MATLAB algoritic module, wherein,
The communication terminal of described user, is additionally operable to receive the sample data of preset number and will include all presetting
The sample data of number is packaged into JSON array formats, and sends HTTP request to described hypertext and locate in advance
Reason Network Interface Module, wherein, preset number is 1024；
Described hypertext pretreatment Network Interface Module, for receiving the logical of user according to described HTTP request
Whole sample datas that letter terminal sends over, and judge whether data form meets call format, if number
Close call format according to format character, then call the MATLAB algoritic module of described cloud server；
Described MATLAB algoritic module, is used for running MATLAB and performing detection algorithm, and according to
Whole sample datas are analyzed by the model trained in advance, and analysis result feeds back to described hypertext
Pretreatment Network Interface Module；
Wherein, described hypertext pretreatment Network Interface Module is additionally operable to send analysis result leading to user
Letter terminal.
Organic detecting system the most as claimed in claim 6, it is characterised in that described cloud server,
It is additionally operable to set up special detection model to form high in the clouds model library for different organic detections；Described
The communication terminal of user, is additionally operable to log in described detection APP interface by selecting in the model library of described high in the clouds
Download or buy corresponding detection model.
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Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106814042A (en) * | 2017-01-23 | 2017-06-09 | 清华大学 | Spectra collection and analysis system and its control method |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5519219A (en) * | 1994-09-08 | 1996-05-21 | Janos Technology Inc. | Portable filter infrared spectrometer |
| WO2015101992A2 (en) * | 2014-01-03 | 2015-07-09 | Verifood, Ltd. | Spectrometry systems, methods, and applications |
| CN105095490A (en) * | 2015-08-18 | 2015-11-25 | 北京奇虎科技有限公司 | Target image searching method, terminal and system |
| CN105136742A (en) * | 2015-08-21 | 2015-12-09 | 董海萍 | Cloud spectrum database-based miniature spectrometer and spectrum detection method |
-
2016
- 2016-05-13 CN CN201610321203.XA patent/CN105973837A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5519219A (en) * | 1994-09-08 | 1996-05-21 | Janos Technology Inc. | Portable filter infrared spectrometer |
| WO2015101992A2 (en) * | 2014-01-03 | 2015-07-09 | Verifood, Ltd. | Spectrometry systems, methods, and applications |
| CN105095490A (en) * | 2015-08-18 | 2015-11-25 | 北京奇虎科技有限公司 | Target image searching method, terminal and system |
| CN105136742A (en) * | 2015-08-21 | 2015-12-09 | 董海萍 | Cloud spectrum database-based miniature spectrometer and spectrum detection method |
Cited By (19)
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| CN109916435A (en) * | 2017-12-12 | 2019-06-21 | 内蒙古蒙牛乳业（集团）股份有限公司 | The acquisition method and system of laboratory testing data |
| WO2019119322A1 (en) * | 2017-12-20 | 2019-06-27 | 深圳达闼科技控股有限公司 | Test system and method, and related device |
| CN108152246A (en) * | 2017-12-25 | 2018-06-12 | 四川长虹电器股份有限公司 | Intelligent wireless spectral detection system based on mobile terminal |
| CN110220844A (en) * | 2018-03-02 | 2019-09-10 | 谱钜科技股份有限公司 | Spectrometer device, mobile device, spectrometer system and its operating method |
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