CN109507167A - A kind of substance detecting method, calculates equipment and computer storage medium at device - Google Patents
A kind of substance detecting method, calculates equipment and computer storage medium at device Download PDFInfo
- Publication number
- CN109507167A CN109507167A CN201811368269.XA CN201811368269A CN109507167A CN 109507167 A CN109507167 A CN 109507167A CN 201811368269 A CN201811368269 A CN 201811368269A CN 109507167 A CN109507167 A CN 109507167A
- Authority
- CN
- China
- Prior art keywords
- spectrum
- raman
- raman spectrum
- spectrometer
- main
- 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
- 238000000034 method Methods 0.000 title claims abstract description 38
- 239000000126 substance Substances 0.000 title claims abstract description 35
- 238000001237 Raman spectrum Methods 0.000 claims abstract description 182
- 238000001228 spectrum Methods 0.000 claims abstract description 136
- 238000001069 Raman spectroscopy Methods 0.000 claims abstract description 113
- 238000004891 communication Methods 0.000 claims description 17
- 238000000605 extraction Methods 0.000 claims description 11
- 238000010030 laminating Methods 0.000 claims description 10
- 239000000284 extract Substances 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 2
- 230000003595 spectral effect Effects 0.000 description 8
- 230000006399 behavior Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 230000005284 excitation Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000005286 illumination Methods 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/12—Circuits of general importance; Signal processing
- G01N2201/129—Using chemometrical methods
Landscapes
- Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Physics & Mathematics (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, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The present invention relates to technical field of Raman spectrum, specifically discloses a kind of substance detecting method, device, calculates equipment and computer storage medium, wherein method includes: to emit laser to object under test；Receive the slave Raman spectrum that the object under test that at least one is collected into from Raman spectrometer is scattered and main Raman spectrum that the object under test that main Raman spectrometer is collected into is scattered；It will be overlapped from Raman spectrum and main Raman spectrum, and obtain superposition spectrum；According to the superposition spectrum, the object under test is identified.It can be seen that, so that Raman signal launching efficiency and Raman signal collection efficiency all greatly improve, having expanded the detectable range of substance using the present invention program.
Description
Technical field
The present invention relates to technical field of Raman spectrum, and in particular to a kind of substance detecting method, calculates equipment and meter at device
Calculation machine storage medium.
Background technique
Illumination can scatter when being mapped on substance.When scattering, most of wavelength for scattering light does not become
Change, the not changed scattering of this wavelength is known as Rayleigh scattering；The wavelength of small part scattering light will increase or reduce, this wave
Long changed scattering is referred to as Raman scattering, and corresponding spectrum is known as Raman spectrum.Each substance has the spy of oneself
Raman spectrum is levied, so, Raman spectrum can be used as " fingerprint " of identification substance.
The present inventor in the implementation of the present invention, has found: very weak for certain Raman signals at present
Substance, most of Raman setups can not detect, although higher Raman can theoretically be inspired by improving laser power
Spectrum, but it is limited to international standard and the risk used, common Raman setup will not all use more than the laser of 500mW.
In the case where laser power can not break through the upper limit, separate unit Raman setup can not solve test problems.
Summary of the invention
In view of the above problems, it proposes on the present invention overcomes the above problem or at least be partially solved in order to provide one kind
It states a kind of substance detecting method of problem, device, calculate equipment and computer storage medium.
According to an aspect of the invention, there is provided a kind of substance detecting method, comprising:
Emit laser to object under test；The object under test that at least one is collected into from Raman spectrometer is received to be scattered
Slave Raman spectrum and the main Raman spectrum that is scattered of the object under test that is collected into of main Raman spectrometer；It will be from Raman spectrum
It is overlapped with main Raman spectrum, obtains superposition spectrum；According to the superposition spectrum, the object under test is identified.
Optionally, before the step of being overlapped from Raman spectrum and main Raman spectrum described, and obtaining superposition spectrum,
The method also includes: it calculates described respectively from the similarity of Raman spectrum and main Raman spectrum；Similarity is lower than given threshold
Slave Raman spectrum rejected；It is described to be overlapped from Raman spectrum and main Raman spectrum, obtain superposition spectrum, comprising:
The main Raman spectrum and rejecting similarity are overlapped lower than the slave Raman spectrum of given threshold, obtain the superimposed light
Spectrum.
Optionally, the method also includes: obtain the similarity lower than given threshold slave Raman spectrum corresponding to
From the label of Raman spectrometer；Issue spectrometer adjustment signal, wherein the spectrometer adjustment signal carry it is accessed from
The label of Raman spectrometer.
Optionally, described to be overlapped from Raman spectrum and main Raman spectrum, obtain the step of being superimposed spectrum, comprising:
Using the main Raman spectrum as initial spectrum；It is described from Raman spectrum to extract one；By the slave Raman spectrum extracted with it is described
Initial spectrum is overlapped, and obtains intermediate spectrum；Calculate the intermediate signal-to-noise ratio of the intermediate spectrum and the initial letter of initial spectrum
It makes an uproar ratio；Judge whether the intermediate signal-to-noise ratio is more than or equal to initial signal-to-noise ratio；If so, using the intermediate spectrum as just
Beginning spectrum, if it is not, keeping the initial spectrum constant；It judges whether there is still undrawn from Raman spectrum；If it exists, then exist
It is still undrawn that one is extracted from Raman spectrum from Raman spectrum, and return the slave Raman spectrum of extraction and the initial light
The step of spectrum is overlapped, and obtains intermediate spectrum；If it does not exist, using the intermediate spectrum finally obtained as superposition spectrum.
Optionally, described identical with the position of the focus of main Raman spectrometer from Raman spectrometer.
Optionally, described the step of emitting laser to object under test includes: the control main Raman spectrometer and at least one
It is a to emit laser simultaneously from Raman spectrometer to the object under test, alternatively, the control main Raman spectrometer is to described to be measured
Object emission laser.
According to another aspect of the present invention, a kind of substance detecting apparatus is provided, comprising:
Transmitting module: for emitting laser to article to be detected；
Receiving module: the slave Raman light scattered for receiving the object under test that at least one is collected into from Raman spectrometer
The main Raman spectrum that the object under test that spectrum and main Raman spectrometer are collected into is scattered；
Laminating module: for that will be overlapped from Raman spectrum and main Raman spectrum, superposition spectrum is obtained；
Identification module: for identifying the object under test according to the superposition spectrum.
Optionally, described device further includes computing module: for calculating respectively from the phase of Raman spectrum and main Raman spectrometer
Like degree；It rejects module: being rejected for the slave Raman spectrum by similarity lower than given threshold, it is to be understood that described
Laminating module is specifically used for for the main Raman spectrum and rejecting similarity being overlapped lower than the slave Raman spectrum of given threshold,
Obtain the superposition spectrum.
Optionally, described device further include: mark module: the slave Raman spectrum for being lower than given threshold for obtaining similarity
The label of corresponding slave Raman spectrometer；Cue module: for issuing spectrometer adjustment signal, wherein the spectrometer tune
Entire signal carry the label of slave Raman spectrometer that gets of the mark module.
Optionally, the laminating module includes: the first assignment unit, for using the main Raman spectrum as initial light
Spectrum；First extraction unit: described from Raman spectrum for extracting one；Intermediate superpositing unit: the slave Raman light for that will extract
Spectrum is overlapped with initial spectrum, obtains intermediate spectrum；Computing unit: for calculate the intermediate spectrum intermediate signal-to-noise ratio and
The initial signal-to-noise ratio of initial spectrum；First judging unit: for judging whether the intermediate signal-to-noise ratio is more than or equal to initially
Signal-to-noise ratio；Second assignment unit, for when first judging unit, which determines, is, then using the intermediate spectrum as initial
Spectrum, if it is not, keeping the initial spectrum constant；Second judgment unit: still undrawn from Raman for judging whether there is
Spectrum；Second extraction unit, for the second judgment unit determine in the presence of it is still undrawn from Raman spectrum when, still
It is undrawn that one is extracted from Raman spectrum from Raman spectrum, and return to the intermediate superpositing unit；Third assignment unit is used
In the second judgment unit determine there is no it is still undrawn from Raman spectrum when, the intermediate superpositing unit is obtained
Intermediate spectrum as superposition spectrum.
Optionally, described identical with the position of the focus of the main Raman spectrometer from Raman spectrometer.
Optionally, the transmitting module for control the main Raman spectrometer and at least one from Raman spectrometer to institute
It states object under test while emitting laser, alternatively, the control main Raman spectrometer emits laser to the object under test.
According to another aspect of the invention, provide a kind of calculating equipment, comprising: processor, memory, communication interface and
Communication bus, the processor, the memory and the communication interface complete mutual communication by the communication bus；
For the memory for storing an at least executable instruction, it is above-mentioned that the executable instruction executes the processor
The corresponding operation of substance detecting method.
In accordance with a further aspect of the present invention, provide a kind of computer storage medium, be stored in the storage medium to
A few executable instruction, the executable instruction make processor execute such as the corresponding operation of above-mentioned substance detecting method.
In embodiments of the present invention, by one or more synchronized transmissions laser in multiple Raman setups, and more equipment
Common reception Raman spectrum is synchronized, the launching efficiency of object under test Raman spectrum and the collection efficiency of Raman spectrum are improved；It is logical
The Raman spectrum that excessive platform Raman setup is collected into is overlapped, and according to superposition spectral matching factor object under test, has expanded substance
Detectable range.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can
It is clearer and more comprehensible, the followings are specific embodiments of the present invention.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 shows a kind of substance detecting method flow chart according to an embodiment of the present invention；
Fig. 2 shows spectrum flow chart is superimposed in a kind of substance detecting method according to an embodiment of the present invention；
Fig. 3 shows substance detecting method flow chart a kind of according to a further embodiment of the invention；
Fig. 4 shows a kind of functional block diagram of substance detecting apparatus according to an embodiment of the present invention；
Fig. 5 shows a kind of structural schematic diagram for calculating equipment according to an embodiment of the present invention.
Specific embodiment
Fig. 1 shows the flow chart of substance detecting method according to an embodiment of the invention.As shown in Figure 1, this method
The following steps are included:
Step S101: emit laser to object under test.
In this step, one chosen in Raman spectrometer is used as main Raman spectrometer, one or more work in addition
For from Raman spectrometer, the main Raman spectrometer emits laser to the object under test, it is to be understood that in some implementations
In example, in order to improve the Raman spectrum launching efficiency of object under test, the main Raman spectrometer and at least one from Raman spectrum
Instrument emits laser to the object under test simultaneously.
Step S102: the slave Raman light that the object under test that at least one is collected into from Raman spectrometer is scattered is received
The main Raman spectrum that the object under test that spectrum and main Raman spectrometer are collected into is scattered.
In this step, after Raman spectrometer emits laser to object under test, object under test scatters Raman spectrum, the drawing
Graceful spectrum is directed toward all directions, and the raman spectrum strength of all directions is different, for emitting the Raman spectrometer of laser, laser
Transmitting outlet be also Raman spectrum collection entrance.And Raman spectrometer is a kind of optical device, collection bore is limited, often
The Raman spectrum that platform Raman spectrometer can be collected into is a part in all scattering Raman spectrums, by the way that main Raman is arranged
Spectrometer and at least one may be implemented to collect Raman spectrum from different directions from Raman spectrometer.In order to guarantee best Raman
Excitation of spectra efficiency and collecting effect, the main Raman spectrometer is identical with the focal position from Raman spectrometer, and
It falls on object under test.
Step S103: will be overlapped from Raman spectrum and main Raman spectrum, obtain superposition spectrum.
As shown in Fig. 2, superposition spectrum the following steps are included:
Step S1031: using main Raman spectrum as initial spectrum.
Step S1032: it extracts one and is overlapped from Raman spectrum and the initial spectrum, obtain intermediate spectrum.
In this step, the intermediate spectrum is the seat by the coordinate value from Raman spectrum and the initial spectrum
What scale value was added.It is understood that the spectral line of Raman spectrum was made of coordinate points one by one, carrying out Raman light
When spectrum superposition, the intermediate spectrum is can be obtained into the addition of corresponding coordinate points.
Step S1033: the intermediate signal-to-noise ratio of the intermediate spectrum and the initial signal-to-noise ratio of initial spectrum are calculated.
In this step, the signal-to-noise ratio refers to the ratio of Raman spectrum and noise, and signal-to-noise ratio is higher, illustrates Raman spectrum
It is affected by noise smaller, more easily identify the classification of test substance.It is understood that the calculating of signal-to-noise ratio is to pass through spectrum
Preset signal-to-noise ratio computation algorithm is realized in instrument.
Step S1034: judging whether intermediate signal-to-noise ratio is more than or equal to initial signal-to-noise ratio, if so, thening follow the steps
S1035, if it is not, thening follow the steps 1036.
Step S1035: using the intermediate spectrum as initial spectrum.
In this step, when the intermediate signal-to-noise ratio of the intermediate spectrum is more than or equal to initial signal-to-noise ratio, illustrate folded
Add spectrum that there are more obvious Raman spectral characteristics.Wherein, have from Raman spectrum multiple, superposition spectrum is initial spectrum and all
It is superimposed from Raman spectrum, so, continue to be superimposed with next from Raman spectrum using the intermediate spectrum as initial spectrum.
Step S1036: keep initial spectrum constant.
Step S1037: judge whether there is it is still undrawn from Raman spectrum, if so, thening follow the steps S1038；If it is not,
Execute step S1039；
Step S1038: one is extracted from Raman spectrum from Raman spectrum still undrawn, and return step S1032；
Step S1039: using the intermediate spectrum finally obtained as superposition spectrum.
Step S104: according to the superposition spectrum, the object under test is identified.
In this step, the superposition spectrum and substance Raman spectrum library are compared, obtains the object under test.
In embodiments of the present invention, by main Raman spectrometer or main Raman spectrometer and at least one from Raman spectrometer
Emit laser to object under test simultaneously, and is collected simultaneously the Raman spectrum that object under test is scattered, and will be from Raman spectrum and master
Raman spectrum is overlapped, and according to superposition spectral matching factor object under test, improves the launching efficiency and collection efficiency of Raman spectrum,
The detectable range of substance is expanded.
Referring to Fig. 3, Fig. 3 shows a kind of flow chart of substance detecting method according to a further embodiment of the invention,
Method includes:
Step S301: emit laser to object under test；
Step S302: it calculates respectively from the similarity of Raman spectrum and main Raman spectrum；
The similarity from Raman spectrum and main Raman spectrum is calculated, can determine to calculate by preset spectral line similarity
Method identifies to obtain.Such as: the spectral line peak of Raman spectrum can be passed through from the judgement of Raman spectrum and main Raman spectrum similarity
Location determination.Such as, when the position consistency from Raman spectrum and main Raman spectral peaks, and each peak correlation it is also consistent when,
Then think main Raman spectrum and from Raman spectrum from same substance.It is understood that the Raman spectrum on different directions is strong
Degree is different, so, when carrying out similarity comparison, need to remove the influence of strength factor bring.
Step S303: the slave Raman spectrum by similarity lower than given threshold is rejected；
Step S304: the main Raman spectrum and rejecting similarity are folded lower than the slave Raman spectrum of given threshold
Add, obtains the superposition spectrum；
Step S305: according to the superposition spectrum, the object under test is identified；
Further, the Raman spectrum of given threshold is lower than for similarity, determines that its corresponding Raman spectrometer is abnormal,
In order to obtain normal Raman spectrum, user is needed to be adjusted the Raman spectrometer, specifically, method further include:
Step S306: slave Raman spectrometer corresponding to slave Raman spectrum of the similarity lower than given threshold is obtained
Label；
Step S307: spectrometer adjustment signal is issued, wherein from drawing accessed by the spectrometer adjustment signal carrying
The label of graceful spectrometer.
The spectrometer adjustment signal carries the label of accessed slave Raman spectrometer, wherein the spectrometer tune
Entire signal can be voice signal or optical signal, such as when the slave Raman spectrum and main Raman spectrum being collected into from Raman spectrometer
Similarity when being lower than given threshold, it is described to issue alarm or light flash signal prompt user from Raman spectrum and carry out
Adjustment.
In embodiments of the present invention, similarity-rough set will be carried out from Raman spectrum and main Raman spectrum, it is low rejects similarity
It is marked in the slave Raman spectrum of threshold value, and by the slave Raman spectrometer for being lower than the slave Raman spectrum of threshold value is collected into, prompts user
Adjustment, to ensure that the collection quality and collection efficiency of Raman spectrum；In addition, slave Raman of the similarity lower than threshold value will be rejected
Spectrum and main Raman spectrum are overlapped, and according to superposition spectral matching factor object under test, improve the collection efficiency of Raman spectrum,
The detectable range of substance is expanded.
Fig. 4 shows the flow chart of substance detecting apparatus a kind of according to a further embodiment of the invention.As shown in figure 4, should
Device includes: transmitting module 401, receiving module 402, laminating module 403 and identification module 404.
Transmitting module 401, for emitting laser to article to be detected；Specifically, the transmitting module is described for controlling
Main Raman spectrometer emits laser simultaneously from Raman spectrometer to the object under test at least one, alternatively, controlling the master
Raman spectrometer emits laser to the object under test.
Receiving module 402, for receiving that the object under test that at least one is collected into from Raman spectrometer scattered from drawing
The main Raman spectrum that the object under test that graceful spectrum and main Raman spectrometer are collected into is scattered, wherein described from Raman spectrum
Instrument is identical with the position of the focus of the main Raman spectrometer.
It is understood that Raman spectrometer is a kind of optical device, collection bore is limited, every Raman spectrometer energy
The Raman spectrum being enough collected into is a part in all scattering Raman spectrums, in order to guarantee best Raman spectrum launching efficiency
And collecting effect, the main Raman spectrometer are identical with the focal position from Raman spectrometer.
Laminating module 403 obtains superposition spectrum for that will be overlapped from Raman spectrum and main Raman spectrum.
In the present embodiment, laminating module 403 is folded including the first assignment unit 4031, the first extraction unit 4032, centre
Add unit 4033, computing unit 4034, the first judging unit 4035, the second assignment unit 4036, second judgment unit 4037,
Two extraction units 4038 and third assignment unit 4039.Wherein, the first assignment unit 4031 is used for the main Raman spectrum
As initial spectrum；First extraction unit 4032, it is described from Raman spectrum for extracting one；Intermediate superpositing unit 4033, is used for
The slave Raman spectrum extracted is overlapped with initial spectrum, obtains intermediate spectrum；Computing unit 4034, it is described for calculating
The intermediate signal-to-noise ratio of intermediate spectrum and the initial signal-to-noise ratio of initial spectrum；First judging unit 4035, for judging the centre
Whether signal-to-noise ratio is more than or equal to initial signal-to-noise ratio；Second assignment unit 4036, for judging in first judging unit
To when being, then using the intermediate spectrum as initial spectrum, if it is not, keeping the initial spectrum constant；Second judgment unit
4037, it is still undrawn from Raman spectrum for judging whether there is；Second extraction unit 4038, in second judgement
Unit judges to exist it is still undrawn from Raman spectrum when, one is extracted from Raman spectrum from Raman light still undrawn
Spectrum, and return to the intermediate superpositing unit；Third assignment unit 4039, is not deposited for determining in the second judgment unit
It is still undrawn from Raman spectrum when, intermediate spectrum that the intermediate superpositing unit is obtained is as superposition spectrum.
In some embodiments, in order to obtain more similarities be greater than or equal to given threshold slave Raman spectrum, it is described
Device further includes mark module (not shown) and cue module (not shown), and wherein mark module is for obtaining similarity lower than setting
Determine the label of slave Raman spectrometer corresponding to the slave Raman spectrum of threshold value；Prompt mould is used to issue spectrometer adjustment signal,
In, the spectrometer adjustment signal carry the label of slave Raman spectrometer that gets of the mark module.
Identification module 404, for identifying the object under test according to the superposition spectrum.It is understood that identifying
Substance Raman spectrum library is preset in module, by preset recognizer, by the superposition spectrum and the substance Raman light
Spectrum library compares, and obtains the type of the object under test.
In embodiments of the present invention, by transmitting module control main Raman setup or main Raman setup with it is same from Raman setup
Step transmitting laser, the synchronous Raman spectrum for receiving object under test of receiving module improve the excitation effect of object under test Raman spectrum
The collection efficiency of rate and Raman spectrum；The Raman spectrum being collected into from Raman setup and main Raman setup are received by laminating module
The Raman spectrum collected is overlapped, and identifies object under test by identification module, to expand the detectable range of substance.
Fig. 5 shows a kind of structural schematic diagram for calculating equipment according to an embodiment of the present invention, the specific embodiment of the invention
The specific implementation for calculating equipment is not limited.
As shown in figure 5, the calculating equipment may include: processor (processor) 502, communication interface
(Communications Interface) 504, memory (memory) 506 and communication bus 508.
Wherein:
Processor 502, communication interface 504 and memory 506 complete mutual communication by communication bus 508.
Communication interface 504, for being communicated with the network element of other equipment such as client or other servers etc..
Processor 502 can specifically execute the correlation in above-mentioned substance detection method embodiment for executing program 510
Step.
Specifically, program 510 may include program code, which includes computer operation instruction.
Processor 502 may be central processor CPU or specific integrated circuit ASIC (Application
Specific Integrated Circuit), or be arranged to implement the integrated electricity of one or more of the embodiment of the present invention
Road.The one or more processors that equipment includes are calculated, can be same type of processor, such as one or more CPU；It can also
To be different types of processor, such as one or more CPU and one or more ASIC.
Memory 506, for storing program 510.Memory 506 may include high speed RAM memory, it is also possible to further include
Nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.
Program 510 specifically can be used for so that processor 502 executes following operation:
Emit laser to object under test；
Receive slave Raman spectrum and main Raman spectrum that the object under test being collected into from Raman spectrometer is scattered
The main Raman spectrum that the object under test that instrument is collected into is scattered；
It will be overlapped from Raman spectrum and main Raman spectrum, and obtain superposition spectrum；
According to the superposition spectrum, the object under test is identified.
In a kind of optional mode, program 510 can specifically be further used for so that processor 502 executes following behaviour
Make:
It calculates described respectively from the similarity of Raman spectrum and main Raman spectrum；Similarity is lower than to the slave Raman of given threshold
Spectrum is rejected；The main Raman spectrum and rejecting similarity are overlapped lower than the slave Raman spectrum of given threshold, obtained
To the superposition spectrum.
In a kind of optional mode, program 510 can specifically be further used for so that processor 502 executes following behaviour
Make: obtaining the label of slave Raman spectrometer corresponding to slave Raman spectrum of the similarity lower than given threshold；Issue spectrum
Instrument adjustment signal, wherein the spectrometer adjustment signal carries the label of accessed slave Raman spectrometer.
In a kind of optional mode, program 510 can specifically be further used for so that processor 502 executes following behaviour
Make:
Using the main Raman spectrum as initial spectrum；It is described from Raman spectrum to extract one；The slave Raman light that will be extracted
Spectrum is overlapped with the initial spectrum, obtains intermediate spectrum；Calculate the intermediate signal-to-noise ratio and initial spectrum of the intermediate spectrum
Initial signal-to-noise ratio；Judge whether the intermediate signal-to-noise ratio is more than or equal to initial signal-to-noise ratio；If so, by the intermediate light
Spectrum is used as initial spectrum, if it is not, keeping the initial spectrum constant；It judges whether there is still undrawn from Raman spectrum；If
In the presence of, then one is extracted from Raman spectrum still undrawn from Raman spectrum, and return by the slave Raman spectrum of extraction with
The step of initial spectrum is overlapped, obtains intermediate spectrum；If it does not exist, using the intermediate spectrum finally obtained as
It is superimposed spectrum.
In a kind of optional mode: described identical with the position of the focus of main Raman spectrometer from Raman spectrometer.
In a kind of optional mode, program 510 can specifically be further used for so that processor 402 executes following behaviour
Make: the control main Raman spectrometer emits laser simultaneously from Raman spectrometer to the object under test at least one, alternatively,
It controls the main Raman spectrometer and emits laser to the object under test.
Algorithm and display are not inherently related to any particular computer, virtual system, or other device provided herein.
Various general-purpose systems can also be used together with teachings based herein.As described above, it constructs required by this kind of system
Structure be obvious.In addition, the present invention is also not directed to any particular programming language.It should be understood that can use various
Programming language realizes summary of the invention described herein, and the description done above to language-specific is to disclose this hair
Bright preferred forms.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be practiced without these specific details.In some instances, well known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of the various inventive aspects,
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. required to protect
Shield the present invention claims features more more than feature expressly recited in each claim.More precisely, as following
Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, wherein each claim itself
All as a separate embodiment of the present invention.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment
Member or component are combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use any
Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed
All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power
Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
Meaning one of can in any combination mode come using.
Various component embodiments of the invention can be implemented in hardware, or to run on one or more processors
Software module realize, or be implemented in a combination thereof.It will be understood by those of skill in the art that can be used in practice
In the displaying device of microprocessor or digital signal processor (DSP) to realize message pop-up according to an embodiment of the present invention
The some or all functions of some or all components.The present invention is also implemented as executing method as described herein
Some or all device or device programs (for example, computer program and computer program product).Such reality
Existing program of the invention can store on a computer-readable medium, or may be in the form of one or more signals.
Such signal can be downloaded from an internet website to obtain, and perhaps be provided on the carrier signal or in any other forms
It provides.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and ability
Field technique personnel can be designed alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol between parentheses should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" located in front of the element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real
It is existing.In the unit claims listing several devices, several in these devices can be through the same hardware branch
To embody.The use of word first, second, and third does not indicate any sequence.These words can be explained and be run after fame
Claim.
Claims (14)
1. a kind of method of substance detection characterized by comprising
Emit laser to object under test；
Receive the slave Raman spectrum and main Raman that the object under test that at least one is collected into from Raman spectrometer is scattered
The main Raman spectrum that the object under test that spectrometer is collected into is scattered；
It will be overlapped from Raman spectrum and main Raman spectrum, and obtain superposition spectrum；
According to the superposition spectrum, the object under test is identified.
2. the method according to claim 1, wherein
Before the step of being overlapped from Raman spectrum and main Raman spectrum described, and obtaining superposition spectrum, the method is also
Include:
It calculates described respectively from the similarity of Raman spectrum and main Raman spectrum；
Slave Raman spectrum by similarity lower than given threshold is rejected；
It is described to be overlapped from Raman spectrum and main Raman spectrum, obtain superposition spectrum, comprising:
The main Raman spectrum and rejecting similarity are overlapped lower than the slave Raman spectrum of given threshold, obtain the superposition
Spectrum.
3. according to the method described in claim 2, it is characterized in that, the method also includes:
Obtain the label of slave Raman spectrometer corresponding to slave Raman spectrum of the similarity lower than given threshold；
Issue spectrometer adjustment signal, wherein the spectrometer adjustment signal carries the mark of accessed slave Raman spectrometer
Note.
4. the method according to claim 1, wherein
It is described to be overlapped from Raman spectrum and main Raman spectrum, obtain the step of being superimposed spectrum, comprising:
Using the main Raman spectrum as initial spectrum；
It is described from Raman spectrum to extract one；
The slave Raman spectrum extracted is overlapped with the initial spectrum, obtains intermediate spectrum；
Calculate the intermediate signal-to-noise ratio of the intermediate spectrum and the initial signal-to-noise ratio of initial spectrum；
Judge whether the intermediate signal-to-noise ratio is more than or equal to initial signal-to-noise ratio；
If so, using the intermediate spectrum as initial spectrum, if it is not, keeping the initial spectrum constant；
It judges whether there is still undrawn from Raman spectrum；
If it exists, then one is extracted from Raman spectrum still undrawn from Raman spectrum, and is returned the slave Raman of extraction
The step of spectrum is overlapped with the initial spectrum, obtains intermediate spectrum；
If it does not exist, using the intermediate spectrum finally obtained as superposition spectrum.
5. method described in any one of -4 according to claim 1, which is characterized in that
It is described identical with the position of the focus of main Raman spectrometer from Raman spectrometer.
6. method described in any one of -4 according to claim 1, which is characterized in that
It is described to object under test emit laser the step of include:
It controls the main Raman spectrometer and at least one from Raman spectrometer to the object under test while emitting laser, or
Person controls the main Raman spectrometer to the object under test and emits laser.
7. a kind of substance detecting apparatus, comprising:
Transmitting module: for emitting laser to article to be detected；
Receiving module: for receiving the slave Raman spectrum and main drawing that the object under test being collected into from Raman spectrometer is scattered
The main Raman spectrum that the object under test that graceful spectrometer is collected into is scattered is at least one from the quantity of Raman spectrometer；
Laminating module: for that will be overlapped from Raman spectrum and main Raman spectrum, superposition spectrum is obtained；
Identification module: for identifying the object under test according to the superposition spectrum.
8. device according to claim 7, wherein further include:
Computing module: for calculating respectively from the similarity of Raman spectrum and main Raman spectrometer；
Module is rejected, is rejected for the slave Raman spectrum by similarity lower than given threshold；
The laminating module is specifically used for the main Raman spectrum and rejects slave Raman spectrum of the similarity lower than given threshold
It is overlapped, obtains the superposition spectrum.
9. device according to claim 7, wherein further include:
Mark module: for obtaining the mark of slave Raman spectrometer corresponding to slave Raman spectrum of the similarity lower than given threshold
Note；
Cue module: for issuing spectrometer adjustment signal, wherein the spectrometer adjustment signal carries institute's mark module
The label of the slave Raman spectrometer got.
10. device according to claim 7, wherein the laminating module includes:
First assignment unit, for using the main Raman spectrum as initial spectrum；
First extraction unit: described from Raman spectrum for extracting one；
Intermediate superpositing unit: slave Raman spectrum and initial spectrum for that will extract are overlapped, and obtain intermediate spectrum；
Computing unit: for calculating the intermediate signal-to-noise ratio of the intermediate spectrum and the initial signal-to-noise ratio of initial spectrum；
First judging unit: for judging whether the intermediate signal-to-noise ratio is more than or equal to initial signal-to-noise ratio；
Second assignment unit, for when first judging unit, which determines, is, then using the intermediate spectrum as initial light
Spectrum, if it is not, keeping the initial spectrum constant；
Second judgment unit: still undrawn from Raman spectrum for judging whether there is；
Second extraction unit: for the second judgment unit determine in the presence of it is still undrawn from Raman spectrum when, still
It is undrawn that one is extracted from Raman spectrum from Raman spectrum, and return to the intermediate superpositing unit；
Third assignment unit: for the second judgment unit determine there is no it is still undrawn from Raman spectrum when, will
The intermediate spectrum that the intermediate superpositing unit obtains is as superposition spectrum.
11. device according to claim 7, wherein described from Raman spectrometer and the focus of the main Raman spectrometer
Position it is identical.
12. device according to claim 7, wherein the transmitting module is for controlling the main Raman spectrometer and extremely
Few one emits laser simultaneously from Raman spectrometer to the object under test, alternatively, the control main Raman spectrometer is to described
Object under test emits laser.
13. a kind of calculating equipment, comprising: processor, memory, communication interface and communication bus, the processor, the storage
Device and the communication interface complete mutual communication by the communication bus；
The memory executes the processor as right is wanted for storing an at least executable instruction, the executable instruction
Ask a kind of corresponding operation of substance detecting method described in any one of 1-6.
14. a kind of computer storage medium, an at least executable instruction, the executable instruction are stored in the storage medium
Processor is set to execute a kind of corresponding operation of substance detecting method such as of any of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811368269.XA CN109507167A (en) | 2018-11-16 | 2018-11-16 | A kind of substance detecting method, calculates equipment and computer storage medium at device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811368269.XA CN109507167A (en) | 2018-11-16 | 2018-11-16 | A kind of substance detecting method, calculates equipment and computer storage medium at device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109507167A true CN109507167A (en) | 2019-03-22 |
Family
ID=65748801
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811368269.XA Pending CN109507167A (en) | 2018-11-16 | 2018-11-16 | A kind of substance detecting method, calculates equipment and computer storage medium at device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109507167A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110361374A (en) * | 2019-07-30 | 2019-10-22 | 深圳前海达闼云端智能科技有限公司 | Substance detecting method, device, storage medium and electronic equipment |
| CN112710648A (en) * | 2020-12-07 | 2021-04-27 | 北京华泰诺安探测技术有限公司 | Method, system and computer storage medium for identifying object to be detected by using Raman spectrum |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1858580A (en) * | 2005-04-30 | 2006-11-08 | 周志恒 | Multipath merge spectrum chemical analysis method and its instrument |
| CN101082585A (en) * | 2007-07-19 | 2007-12-05 | 清华大学 | Reflexion type near-field Raman spectrometer instrument head |
| CN103175822A (en) * | 2013-02-06 | 2013-06-26 | 中国食品药品检定研究院 | Method for eliminating table difference of Raman spectrometer |
| CN103854305A (en) * | 2014-03-19 | 2014-06-11 | 天津大学 | Module transfer method based on multiscale modeling |
| CN103954593A (en) * | 2014-05-20 | 2014-07-30 | 清华大学 | Plasma signal acquisition device based on laser-induced-breakdown spectroscopy |
| CN104089911A (en) * | 2014-06-27 | 2014-10-08 | 桂林电子科技大学 | Spectral model transmission method based on unary linear regression |
| CN104655606A (en) * | 2013-11-15 | 2015-05-27 | 中国农业大学 | Optical detection system for nondestructive detection of pesticide residue on surface of fruit and vegetable |
| CN104749156A (en) * | 2013-12-27 | 2015-07-01 | 同方威视技术股份有限公司 | Raman spectrum detection method |
| CN106198482A (en) * | 2015-05-04 | 2016-12-07 | 清华大学 | The method whether being added with Western medicine in detection health product based on Raman spectrum |
| WO2016201572A1 (en) * | 2015-06-16 | 2016-12-22 | Dalhousie University | Methods of detection of steatosis |
| CN108007873A (en) * | 2016-10-27 | 2018-05-08 | 中国人民解放军第二军医大学 | Spectral detection processing unit, method and authenticity of medicament decision-making system |
-
2018
- 2018-11-16 CN CN201811368269.XA patent/CN109507167A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1858580A (en) * | 2005-04-30 | 2006-11-08 | 周志恒 | Multipath merge spectrum chemical analysis method and its instrument |
| CN101082585A (en) * | 2007-07-19 | 2007-12-05 | 清华大学 | Reflexion type near-field Raman spectrometer instrument head |
| CN103175822A (en) * | 2013-02-06 | 2013-06-26 | 中国食品药品检定研究院 | Method for eliminating table difference of Raman spectrometer |
| CN104655606A (en) * | 2013-11-15 | 2015-05-27 | 中国农业大学 | Optical detection system for nondestructive detection of pesticide residue on surface of fruit and vegetable |
| CN104749156A (en) * | 2013-12-27 | 2015-07-01 | 同方威视技术股份有限公司 | Raman spectrum detection method |
| CN103854305A (en) * | 2014-03-19 | 2014-06-11 | 天津大学 | Module transfer method based on multiscale modeling |
| CN103954593A (en) * | 2014-05-20 | 2014-07-30 | 清华大学 | Plasma signal acquisition device based on laser-induced-breakdown spectroscopy |
| CN104089911A (en) * | 2014-06-27 | 2014-10-08 | 桂林电子科技大学 | Spectral model transmission method based on unary linear regression |
| CN106198482A (en) * | 2015-05-04 | 2016-12-07 | 清华大学 | The method whether being added with Western medicine in detection health product based on Raman spectrum |
| WO2016201572A1 (en) * | 2015-06-16 | 2016-12-22 | Dalhousie University | Methods of detection of steatosis |
| CN108007873A (en) * | 2016-10-27 | 2018-05-08 | 中国人民解放军第二军医大学 | Spectral detection processing unit, method and authenticity of medicament decision-making system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110361374A (en) * | 2019-07-30 | 2019-10-22 | 深圳前海达闼云端智能科技有限公司 | Substance detecting method, device, storage medium and electronic equipment |
| CN110361374B (en) * | 2019-07-30 | 2022-07-12 | 北京云端光科技术有限公司 | Substance detection method, substance detection device, storage medium, and electronic apparatus |
| CN112710648A (en) * | 2020-12-07 | 2021-04-27 | 北京华泰诺安探测技术有限公司 | Method, system and computer storage medium for identifying object to be detected by using Raman spectrum |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110765923B (en) | Face living body detection method, device, equipment and storage medium | |
| CN103500405B (en) | For carrying out mirror method for distinguishing and its equipment to the nominal model of target terminal | |
| CN110019782A (en) | Method and apparatus for exporting text categories | |
| CN106203305A (en) | Human face in-vivo detection method and device | |
| CN109507167A (en) | A kind of substance detecting method, calculates equipment and computer storage medium at device | |
| CN109285149A (en) | Appraisal procedure, device and the calculating equipment of quality of human face image | |
| CN107818298A (en) | General Raman spectral characteristics extracting method for machine learning material recognition | |
| CN108831017A (en) | Intelligent goods selling equipment and method | |
| WO2016092568A2 (en) | Gemstone verification | |
| JP2023515041A (en) | Sensitive Detection and Identification of Counterfeit Components in Utility Power Systems with EMI Frequency Kiviat Tubes | |
| CN106327920A (en) | Road condition detection method and road condition detection system | |
| Bansal et al. | Green citrus detection using fast Fourier transform (FFT) leakage | |
| CN106796180B (en) | For diversity and the dynamic lattice of disfigurement discovery | |
| CN109934093A (en) | A kind of method, computer-readable medium and identifying system identifying commodity on shelf | |
| CN105095381B (en) | New word identification method and device | |
| CN108240978A (en) | Self-learning type method for qualitative analysis based on Raman spectrum | |
| CN106131405A (en) | Image processing method and device and for its image capturing system | |
| CN109490975A (en) | Safe examination system, method, apparatus and storage medium | |
| CN107817537B (en) | Wear control method and device, the wearable device of detection | |
| CN108235733A (en) | Substance identification and cloud system based on Raman spectrum | |
| CN108875489A (en) | Method for detecting human face, device, system, storage medium and capture machine | |
| CN106770151B (en) | A kind of method and device of quick detection raman spectral signal | |
| US8564594B2 (en) | Similar shader search apparatus and method using image feature extraction | |
| CN110490058A (en) | Training method, device, system and the computer-readable medium of pedestrian detection model | |
| CN108875536A (en) | Pedestrian's analysis method, device, system and storage medium |
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: 20220601 Address after: 1904-010, 20th floor, building 4, No. 11, Changchun Bridge Road, Haidian District, Beijing 100089 Applicant after: BEIJING CLOUDOPTEK TECHNOLOGY Co.,Ltd. Address before: 518000 Room 201, building A, No. 1, Qian Wan Road, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen, Guangdong (Shenzhen Qianhai business secretary Co., Ltd.) Applicant before: CLOUDMINDS (SHENZHEN) HOLDINGS Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190322 |
|
| RJ01 | Rejection of invention patent application after publication |