CN109540805A - Identifying meat freshness method and device - Google Patents
Identifying meat freshness method and device Download PDFInfo
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- CN109540805A CN109540805A CN201811158112.4A CN201811158112A CN109540805A CN 109540805 A CN109540805 A CN 109540805A CN 201811158112 A CN201811158112 A CN 201811158112A CN 109540805 A CN109540805 A CN 109540805A
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- meat
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- digital signal
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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
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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
- G01N21/84—Systems specially adapted for particular applications
Abstract
The embodiment of the present invention provides a kind of identifying meat freshness method and device.This method comprises: obtaining the spectral digital signal of meat to be measured；Spectral digital signal is inputted into freshness of meat model, obtains the grade of freshness of meat to be measured；Wherein, freshness of meat model is obtained after the sample based on meat spectral digital signal and corresponding freshness of meat value is trained.Spectral digital signal is inputted freshness of meat model by obtaining the spectral digital signal of meat to be measured by the embodiment of the present invention, directly obtains the grade of freshness of meat to be measured.The detection to the freshness of meat can be fast implemented.
Description
Technical field
The present embodiments relate to technical field of food detection more particularly to identifying meat freshness method and devices.
Background technique
The freshness of meat is that consumer buys meat and is primarily upon one of index.For ordinary consumer
Speech, the method for discrimination of common freshness of meat main " date of manufacture " according on meat product judge.Although physics and chemistry inspection
It surveys and spectral analysis technique is that meat detects common high-precision professional technique method, especially spectroscopic analysis methods, due to
Lossless and quick detection advantage, becomes the research hotspot of freshness of meat non-destructive testing.But these technologies need experienced
Consumer or professional could use, and ordinary people can not be grasped.It is for the most simple and quick method of ordinary consumer
It checks " date of manufacture ", but " date of manufacture " is marked by retailer oneself, authoritative and confidence level receives query.
Since the constituent of different meats is different, the Testing index of freshness also difference, there is presently no
A kind of general method being capable of Fast nondestructive evaluation freshness of meat index.With the development of big data analysis technology, compel to be essential
It will be based on the identifying meat freshness method and apparatus for having self-learning function of big data analysis technology, to meet consumer couple
Freshness of meat index is used for quickly detecting needs.
Summary of the invention
It is fresh that the embodiment of the present invention provides a kind of meat for overcoming the above problem or at least being partially solved the above problem
Spend detection method and device.
In a first aspect, the embodiment of the present invention provides a kind of identifying meat freshness method, comprising: obtain the light of meat to be measured
Compose digital signal；Spectral digital signal is inputted into freshness of meat model, obtains the grade of freshness of meat to be measured；Wherein, meat
Model for fresh level is obtained after the sample based on meat spectral digital signal and corresponding freshness of meat value is trained.
Second aspect, the embodiment of the present invention provide a kind of identifying meat freshness device, comprising: module are obtained, for obtaining
Take the spectral digital signal of meat to be measured；Processing module, for by spectral digital signal input freshness of meat model, obtain to
Survey the grade of freshness of meat.
The third aspect, the embodiment of the present invention provides a kind of electronic equipment, including memory, processor and is stored in memory
Computer program that is upper and can running on a processor, processor realize the identifying meat freshness of first aspect when executing program
The step of method.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program, when which is executed by processor the step of the identifying meat freshness method of realization first aspect.
The embodiment of the present invention passes through the spectral digital signal for obtaining meat to be measured, and spectral digital signal input meat is new
Freshness model directly obtains the grade of freshness of meat to be measured.The detection to the freshness of meat can be fast implemented.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of identifying meat freshness method provided in an embodiment of the present invention；
Fig. 2 is the structural schematic diagram of identifying meat freshness device provided in an embodiment of the present invention；
Fig. 3 is the entity structure schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is the flow diagram of identifying meat freshness method provided in an embodiment of the present invention.As shown in Figure 1, the meat
Class Noninvasive Measuring Method of Freshness includes:
Step 101, the spectral digital signal of meat to be measured is obtained；
Step 102, spectral digital signal is inputted into freshness of meat model, obtains the grade of freshness of meat to be measured；Wherein,
Freshness of meat model is obtained after the sample based on meat spectral digital signal and corresponding freshness of meat value is trained
's.
Specifically, step 101, the meat of different grade of freshness, corresponding spectral digital signal are different.It therefore, can be with
By judging the spectral digital signal of meat to be measured, to judge the corresponding grade of freshness of meat.By certain means acquisition to
Survey the spectral digital signal of meat.
Step 102, freshness of meat model is based on meat spectral digital signal and its corresponding freshness of meat value institute
Establish what sample was obtained by training.The spectral digital signal of meat to be measured is inputted into freshness of meat model, will export with
The corresponding freshness of meat value of the spectral digital signal.By the spectral digital of the meat to be measured collected in step 101
Signal directly inputs freshness of meat model, will obtain corresponding freshness of meat value.
The embodiment of the present invention passes through the spectral digital signal for obtaining meat to be measured, and spectral digital signal input meat is new
Freshness model directly obtains the grade of freshness of meat to be measured.The detection to the freshness of meat can be fast implemented.
On the basis of the above embodiments, as a kind of optional embodiment, the trained freshness of meat
Model, comprising: F=Wa·Vb+Wb·Va, wherein F is the grade of freshness of meat to be measured；VaIt is corresponding fresh for minimum degree magnitude
Angle value；VbFor the corresponding grade of freshness of secondary small metric；WaFor VaCorresponding weight, WbFor VbCorresponding weight.
Specifically, the grade of freshness of meat is used to characterize the freshness of meat, unit min.Initially set up meat
The sample of spectral digital signal and corresponding freshness of meat value.For example, meat to be measured is placed in the air under room temperature, with
The increase of standing time, the freshness of meat constantly reduce, every certain preset time period, measure the fresh of the meat to be measured
Angle value and corresponding spectral digital signal, establish the sample of meat spectral digital signal and corresponding freshness of meat value.
The space vector expression formula of spectral digital signal is as follows:
Rk=[rk1,rk2,...,rkn] (1)
Wherein, RkFor the space vector of k-th of spectral digital signal, k is sample to be tested variable, and r is spectral space vector
Dimension, n be space vector dimension.
The weighted metric value formula of spectral digital signal and freshness of meat value, as follows:
Wherein, Di(tk) it is k-th of the space vector and i-th of standard digital spectral digital signal to spectral digital signal
The weighted metric value of space vector, WkFor the weight of the space vector of k-th of spectral digital signal to be measured, tkjFor spectrum number to be measured
The space vector of word signal, rijFor the space vector of standard spectrum digital signal, j is sample size to be detected.
WkCalculation formula, it is as follows:
Wherein, WkFor the weight of the space vector of k-th of spectral digital signal to be measured, tkjFor spectral digital signal to be measured
Space vector, rijFor the space vector of standard spectrum digital signal, j is sample size to be detected.
By above-mentioned formula (2) and formula (3), minimum value in calculated weighted metric value, as optimal metric,
It is denoted as Da, the sub-minimum in weighted metric value is denoted as D as suboptimum metricb.Simultaneously in meat spectral digital signal and accordingly
Freshness of meat value sample in, select and DaThe corresponding freshness of meat value of corresponding spectral digital signal, is denoted as
Va；It selects and DbThe corresponding freshness of meat value of corresponding spectral digital signal, is denoted as Vb。
DaAnd DbThe calculation formula of corresponding weight is as follows:
Wherein, DaFor optimal metric, DbFor suboptimum metric, WaFor weight corresponding to optimal metric, WbFor suboptimum
Weight corresponding to metric.
Finally, the trained freshness of meat model, as follows:
F=Wa·Vb+Wb·Va (6)
Wherein, F is the grade of freshness of meat to be measured；VaFor the corresponding grade of freshness of minimum degree magnitude；VbFor secondary small metric
Corresponding grade of freshness；WaFor VaCorresponding weight, WbFor VbCorresponding weight.
The embodiment of the present invention is by establishing the sample of meat spectral digital signal and corresponding freshness of meat value, to construct
With the model of training freshness of meat, rather than feature spectral coverage therein is only extracted to construct freshness of meat model, due to every
Feature spectral coverage corresponding to kind of meat is different, simple to extract a kind of spectral coverage and detect the freshness of certain or certain several meat
Value, limits the type of meat to be detected.And it is of the invention, the detection range of freshness of meat is expanded, may be implemented to institute
There is the quick detection of freshness of meat.
On the basis of the various embodiments described above, as a kind of optional embodiment, the spectral digital letter of meat to be measured is obtained
Number, comprising: spectral signal is changed into spectral digital signal by the spectral signal for acquiring meat to be measured.
Specifically, when light source is irradiated in the surface of meat to be measured, which will reflect corresponding spectral signal.
Since spectral signal can not directly input freshness of meat model.So needing for the spectral signal to be changed into spectral digital letter
Number.Before transformation, it can according to need and spectral signal is reasonably handled.Such as to the spectral signal collected into
Row filtering processing.
The spectral signal is transformed into corresponding spectrum by acquiring the spectral signal of meat to be measured by the embodiment of the present invention
Digital signal.By the way that the spectral digital signal is inputted freshness of meat model, so that it may obtain corresponding freshness of meat value.
Fig. 2 is the structural schematic diagram of identifying meat freshness device provided in an embodiment of the present invention；As shown in Fig. 2, the meat
Class freshness detection device, comprising: obtain module 201 and processing module 202；Wherein:
Module 201 is obtained, for obtaining the spectral digital signal of meat to be measured；
Processing module 202 obtains the meat to be measured for the spectral digital signal to be inputted freshness of meat model
Grade of freshness；The freshness of meat model is the sample based on meat spectral digital signal and corresponding freshness of meat value
It is obtained after being trained.
Specifically, the meat of different grade of freshness, corresponding spectral digital signal are different.Therefore, judgement can be passed through
The spectral digital signal of meat to be measured, to judge the corresponding grade of freshness of meat.Module 201 is obtained to acquire by certain means
The spectral digital signal of meat to be measured.
Freshness of meat model is based on meat spectral digital signal and its corresponding the established sample of freshness of meat value
It is obtained by training.The spectral digital signal of meat to be measured is inputted freshness of meat model by processing module 202, will be exported
Freshness of meat value corresponding with the spectral digital signal.Processing module 202 will acquire module 201 collected it is to be measured
The spectral digital signal of meat, directly inputs freshness of meat model, will obtain corresponding freshness of meat value.
As a kind of optional embodiment, further includes: display module, for showing the grade of freshness of meat to be measured.
As a kind of optional embodiment, further includes: power module, for providing electricity for identifying meat freshness device
Energy.
The embodiment of the present invention obtains the spectral digital signal of meat to be measured by obtaining module 201, and passes through processing module
Spectral digital signal is inputted freshness of meat model by 202, directly obtains the grade of freshness of meat to be measured.It can fast implement pair
The detection of the freshness of meat.
On the basis of the various embodiments described above, as a kind of optional embodiment, further includes: acquisition module, for acquiring
The spectral signal is changed into the spectral digital signal by the spectral signal of the meat to be measured.
Specifically, when light source is irradiated in the surface of meat to be measured, which will reflect corresponding spectral signal.
It is acquired by spectral signal of the acquisition module to meat to be measured.Since spectral signal can not directly input freshness of meat mould
Type.So needing acquisition module that the spectral signal is changed into spectral digital signal.Before transformation, it can according to need to light
Spectrum signal is reasonably handled.Such as the spectral signal collected is filtered.
The embodiment of the present invention acquires the spectral signal of meat to be measured by acquisition module, and the spectral signal is transformed into phase
The spectral digital signal answered.By the way that the spectral digital signal is inputted freshness of meat model, so that it may obtain corresponding meat
Grade of freshness.
On the basis of the various embodiments described above, as a kind of optional embodiment, further includes: acquisition module, comprising: light
Source, detector, converting unit and transmission unit；For generating light wave, and by light-wave irradiation to meat to be measured, reflection produces light source
Third contact of a total solar or lunar eclipse spectrum signal；Detector is for receiving spectral signal；Converting unit is used to spectral signal being changed into spectral digital signal；It passes
Defeated unit is used to spectral digital signal being sent to acquisition module.
Specifically, the type of light source is rationally selected as needed.For example, selecting miniature halogen light source as light source.
When light source is radiated at the surface of meat to be measured, meat to be measured will launch spectral signal.Detector is for acquiring above-mentioned spectrum
Signal.The parameter of reasonable selection detector as needed.For example, the spectral coverage for the detector chosen is 340-
1100nm, spectral resolution 3-5nm.The spectral signal that conversion module is collected detector is changed into spectral digital letter
Number.Above-mentioned spectral digital signal is transmitted to acquisition module by transmission module.Transmission mode therein is rationally selected as needed
It selects.For example, being transmitted by communication modes such as USB interface or bluetooth serial ports.
Fig. 3 is the entity structure schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.As shown in figure 3, the electronics
Equipment includes: processor (processor) 310,320, memory communication interface (Communications Interface)
(memory) 330 and communication bus 340, wherein processor 310, communication interface 320, memory 330 pass through communication bus 340
Complete mutual communication.Processor 310 can call the logical order in memory 330, to execute following method: obtain to
Survey the spectral digital signal of meat；Spectral digital signal is inputted into freshness of meat model, obtains the grade of freshness of meat to be measured；
Wherein, freshness of meat model is after the sample based on meat spectral digital signal and corresponding freshness of meat value is trained
It obtains.
In addition, the logical order in above-mentioned memory 330 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
Substantially the part of the part that contributes to existing technology or the technical solution can be in other words for the technical solution of invention
The form of software product embodies, which is stored in a storage medium, including some instructions to
So that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation of the present invention
The all or part of the steps of example method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of program code.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage medium
Matter stores computer instruction, which makes computer execute identifying meat freshness side provided by above-described embodiment
Method, for example, obtain the spectral digital signal of meat to be measured；Spectral digital signal is inputted into freshness of meat model, is obtained
The grade of freshness of meat to be measured；Wherein, freshness of meat model is fresh based on meat spectral digital signal and corresponding meat
What the sample of angle value obtained after being trained.
The apparatus embodiments described above are merely exemplary, wherein described, unit can as illustrated by the separation member
It is physically separated with being or may not be, component shown as a unit may or may not be physics list
Member, it can it is in one place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case where, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of identifying meat freshness method characterized by comprising
Obtain the spectral digital signal of meat to be measured；
The spectral digital signal is inputted into freshness of meat model, obtains the grade of freshness of the meat to be measured；
Wherein, the freshness of meat model be the sample based on meat spectral digital signal and corresponding freshness of meat value into
It is obtained after row training.
2. identifying meat freshness method according to claim 1, which is characterized in that the trained meat is fresh
Spend model, comprising:
F=Wa·Vb+Wb·Va
Wherein, F is the grade of freshness of meat to be measured；VaFor the corresponding grade of freshness of minimum degree magnitude；VbIt is corresponding for secondary small metric
Grade of freshness；WaFor VaCorresponding weight, WbFor VbCorresponding weight.
3. identifying meat freshness method according to claim 1 characterized by comprising the acquisition meat to be measured
Spectral digital signal, comprising:
The spectral signal is changed into the spectral digital signal by the spectral signal for acquiring the meat to be measured.
4. a kind of identifying meat freshness device characterized by comprising
Module is obtained, for obtaining the spectral digital signal of meat to be measured；
Processing module obtains the fresh of the meat to be measured for the spectral digital signal to be inputted freshness of meat model
Angle value；
Wherein, the freshness of meat model be the sample based on meat spectral digital signal and corresponding freshness of meat value into
It is obtained after row training.
5. identifying meat freshness device according to claim 4, which is characterized in that further include:
The spectral signal is changed into the spectral digital for acquiring the spectral signal of the meat to be measured by acquisition module
Signal.
6. identifying meat freshness device according to claim 4, which is characterized in that further include:
Display module, for showing the grade of freshness of the meat to be measured.
7. identifying meat freshness device according to claim 4, which is characterized in that further include: power module is used for as institute
It states identifying meat freshness device and electric energy is provided.
8. identifying meat freshness device according to claim 5, which is characterized in that the acquisition module, comprising: light source,
Detector, converting unit and transmission unit；
For the light source for generating light wave, and by the light-wave irradiation to the meat to be measured, reflection generates spectral signal；
The detector is for receiving the spectral signal；
The converting unit is used to the spectral signal being changed into spectral digital signal；
The transmission unit is used to the spectral digital signal being sent to the acquisition module.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor realizes that the meat as described in any one of claims 1 to 3 is new when executing described program
The step of freshness detection method.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer
It is realized when program is executed by processor as described in any one of claims 1 to 3 the step of identifying meat freshness method.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114322438A (en) * | 2020-09-30 | 2022-04-12 | 青岛海尔智能技术研发有限公司 | Method and device for managing refrigerator food materials and refrigerator |
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| JPH04291679A (en) * | 1991-03-20 | 1992-10-15 | Hitachi Plant Eng & Constr Co Ltd | Device for discriminating grade of tuna |
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