CN109540805B - Method and device for detecting freshness of meat - Google Patents
Method and device for detecting freshness of meat Download PDFInfo
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- CN109540805B CN109540805B CN201811158112.4A CN201811158112A CN109540805B CN 109540805 B CN109540805 B CN 109540805B CN 201811158112 A CN201811158112 A CN 201811158112A CN 109540805 B CN109540805 B CN 109540805B
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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 invention provides a method and a device for detecting freshness of meat. The method comprises the following steps: acquiring a spectral digital signal of meat to be detected; inputting the spectral digital signal into a meat freshness model to obtain a freshness value of the meat to be detected; the meat freshness model is obtained after training based on the meat spectrum digital signal and a corresponding sample of the meat freshness value. According to the embodiment of the invention, the freshness value of the meat to be detected is directly obtained by acquiring the spectral digital signal of the meat to be detected and inputting the spectral digital signal into the meat freshness model. Can realize the detection to the freshness of meat fast.
Description
Technical Field
The embodiment of the invention relates to the technical field of food detection, in particular to a method and a device for detecting freshness of meat.
Background
The freshness of meat is one of the main indicators of concern for consumers purchasing edible meat. For ordinary consumers, the conventional method for determining the freshness of meat is mainly determined according to the production date of meat products. Although the physicochemical detection and spectral analysis technology is a high-precision professional technical method commonly used for meat detection, especially a spectral analysis method, the method becomes a research hotspot for nondestructive detection of the freshness of the meat due to the advantages of nondestructive and rapid detection. However, these techniques need to be used by experienced consumers or professionals, and are not available to common people. The simplest and fastest method for the average consumer is to look at the "date of manufacture", which is marked by the retailer himself, with questionable authority and confidence.
Because the components of different edible meats are different and the detection indexes of freshness are different, no universal method for quickly and nondestructively detecting the freshness index of the meat exists at present. With the development of big data analysis technology, a meat freshness detection method and a meat freshness detection device with a self-learning function based on the big data analysis technology are urgently needed to meet the requirement of consumers on rapid detection of a meat freshness index.
Disclosure of Invention
Embodiments of the present invention provide a method and apparatus for detecting freshness of meat that overcomes or at least partially solves the above-mentioned problems.
In a first aspect, an embodiment of the present invention provides a method for detecting freshness of meat, including: acquiring a spectral digital signal of meat to be detected; inputting the spectral digital signal into a meat freshness model to obtain a freshness value of the meat to be detected; the meat freshness model is obtained after training based on the meat spectrum digital signal and a corresponding sample of the meat freshness value.
In a second aspect, an embodiment of the present invention provides a meat freshness detection apparatus, including: the acquisition module is used for acquiring the spectral digital signals of the meat to be detected; and the processing module is used for inputting the spectral digital signals into the meat freshness model to obtain the freshness value of the meat to be detected.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the meat freshness detection method according to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the meat freshness detection method of the first aspect.
According to the embodiment of the invention, the freshness value of the meat to be detected is directly obtained by acquiring the spectral digital signal of the meat to be detected and inputting the spectral digital signal into the meat freshness model. Can realize the detection to the freshness of meat fast.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for detecting freshness of meat according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a meat freshness detection apparatus according to an embodiment of the present invention;
fig. 3 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of a meat freshness detection method according to an embodiment of the present invention. As shown in fig. 1, the meat freshness detection method includes:
Specifically, in step 101, the spectral digital signals of the meats with different freshness values are different. Therefore, the corresponding freshness value of the meat can be judged by judging the spectral digital signal of the meat to be detected. The spectrum digital signal of the meat to be detected is collected by a certain means.
According to the embodiment of the invention, the freshness value of the meat to be detected is directly obtained by acquiring the spectral digital signal of the meat to be detected and inputting the spectral digital signal into the meat freshness model. Can realize the detection to the freshness of meat fast.
On the basis of the above embodiment, as an optional embodiment, the trained meat freshness model includes: f ═ Wa·Vb+Wb·VaWherein F is the freshness value of the meat to be detected; vaThe freshness value corresponding to the minimum measurement value is obtained; vbThe freshness value corresponding to the second smallest measurement value; waIs a VaCorresponding weight, WbIs a VbThe corresponding weight.
Specifically, the freshness value of meat is used to characterize the freshness of meat in min. Firstly, establishing a meat spectrum digital signal and a corresponding sample of a meat freshness value. For example, the meat to be measured is placed in the air at normal temperature, the freshness of the meat is continuously reduced along with the increase of the placing time, the freshness value of the meat to be measured and the corresponding spectral digital signal are measured at a certain preset time interval, and the samples of the spectral digital signal of the meat and the corresponding freshness value of the meat are established.
The space vector expression of the spectral digital signal is as follows:
Rk＝[rk1,rk2,...,rkn](1)
wherein R iskThe k is a space vector of the kth spectral digital signal, k is a variable of a sample to be measured, r is a dimensionality of the spectral space vector, and n is a dimensionality of the space vector.
The formula of the weighted metric of the spectral digital signal and the meat freshness value is as follows:
wherein D isi(tk) Weighting measurement value W of the k-th space vector of the digital signal to be subjected to spectrum and the i-th space vector of the digital signal of the standard spectrumkIs the weight, t, of the space vector of the kth spectral digital signal to be measuredkjIs the space vector of the spectral digital signal to be measured, rijIs the space vector of the standard spectrum digital signal, and j is the number of samples to be detected.
WkThe calculation formula of (c) is as follows:
wherein, WkIs the weight, t, of the space vector of the kth spectral digital signal to be measuredkjIs the space vector of the spectral digital signal to be measured, rijIs the space vector of the standard spectrum digital signal, and j is the number of samples to be detected.
The minimum value of the weighted metric values calculated by the above equations (2) and (3) is designated as an optimal metric value DaAnd the second lowest value in the weighted measurement value is used as a suboptimal measurement value and is marked as Db. Simultaneously selecting D from the meat spectrum digital signal and corresponding meat freshness value sampleaThe corresponding freshness value of the meat, recorded as V, corresponding to the corresponding spectrum digital signala(ii) a Selecting and DbThe corresponding freshness value of the meat, recorded as V, corresponding to the corresponding spectrum digital signalb。
DaAnd DbThe formula for calculating the corresponding weight is as follows:
wherein D isaFor the optimum metric value, DbFor the sub-optimal metric value(s),Wafor the weight corresponding to the optimum metric value, WbThe weight corresponding to the suboptimal metric value.
Finally, the meat freshness model is trained as follows:
F＝Wa·Vb+Wb·Va(6)
wherein F is the freshness value of the meat to be detected; vaThe freshness value corresponding to the minimum measurement value is obtained; vbThe freshness value corresponding to the second smallest measurement value; waIs a VaCorresponding weight, WbIs a VbThe corresponding weight.
According to the embodiment of the invention, the model of the freshness of the meat is constructed and trained by establishing the spectrum digital signal of the meat and the sample of the corresponding freshness value of the meat, rather than only extracting the characteristic spectrum section of the spectrum digital signal to construct the freshness model of the meat, and because the characteristic spectrum section corresponding to each kind of meat is different, only one kind of spectrum section is simply extracted to detect the freshness value of some kind of meat, so that the kind of the meat to be detected is limited. The invention enlarges the detection range of the freshness of the meat and can realize the quick detection of all the freshness of the meat.
On the basis of the above embodiments, as an optional embodiment, acquiring the spectral digital signal of the meat to be measured includes: collecting the spectrum signal of the meat to be measured, and converting the spectrum signal into a spectrum digital signal.
Specifically, when the light source irradiates the surface of the meat to be measured, the meat to be measured reflects a corresponding spectrum signal. Because the spectral signal can not be directly input into the meat freshness model. It is necessary to convert the spectral signal into a spectral digital signal. The spectral signals may be processed appropriately as desired prior to conversion. For example, filtering the acquired spectral signals.
The embodiment of the invention collects the spectrum signal of the meat to be detected and converts the spectrum signal into a corresponding spectrum digital signal. By inputting the spectral digital signal into the meat freshness model, a corresponding meat freshness value can be obtained.
FIG. 2 is a schematic structural diagram of a meat freshness detection apparatus according to an embodiment of the present invention; as shown in fig. 2, the meat freshness detecting apparatus includes: an acquisition module 201 and a processing module 202; wherein:
an obtaining module 201, configured to obtain a spectral digital signal of meat to be detected;
the processing module 202 is configured to input the spectral digital signal into a meat freshness model to obtain a freshness value of the meat to be detected; the meat freshness model is obtained after training based on the meat spectrum digital signal and a corresponding sample of the meat freshness value.
Specifically, the spectral digital signals corresponding to the meats with different freshness values are different. Therefore, the corresponding freshness value of the meat can be judged by judging the spectral digital signal of the meat to be detected. The acquisition module 201 acquires the spectral digital signals of the meat to be detected by a certain means.
The meat freshness model is obtained by training a sample established based on the meat spectral digital signal and the corresponding meat freshness value. The processing module 202 inputs the spectral digital signal of the meat to be tested into the meat freshness model, and outputs a meat freshness value corresponding to the spectral digital signal. The processing module 202 directly inputs the spectral digital signal of the meat to be detected acquired by the acquisition module 201 into the meat freshness model, so as to obtain a corresponding meat freshness value.
As an alternative embodiment, the method further comprises: and the display module is used for displaying the freshness value of the meat to be detected.
As an alternative embodiment, the method further comprises: and the power module is used for providing electric energy for the meat freshness detection device.
According to the embodiment of the invention, the spectrum digital signal of the meat to be detected is acquired through the acquisition module 201, and the spectrum digital signal is input into the meat freshness model through the processing module 202, so that the freshness value of the meat to be detected is directly acquired. Can realize the detection to the freshness of meat fast.
On the basis of the above embodiments, as an optional embodiment, the method further includes: and the acquisition module is used for acquiring the spectral signal of the meat to be detected and converting the spectral signal into the spectral digital signal.
Specifically, when the light source irradiates the surface of the meat to be measured, the meat to be measured reflects a corresponding spectrum signal. And collecting the spectral signal of the meat to be detected through a collecting module. Because the spectral signal can not be directly input into the meat freshness model. An acquisition module is required to convert the spectral signal into a spectral digital signal. The spectral signals may be processed appropriately as desired prior to conversion. For example, filtering the acquired spectral signals.
The embodiment of the invention collects the spectrum signal of the meat to be detected through the collection module and converts the spectrum signal into a corresponding spectrum digital signal. By inputting the spectral digital signal into the meat freshness model, a corresponding meat freshness value can be obtained.
On the basis of the above embodiments, as an optional embodiment, the method further includes: an acquisition module comprising: the device comprises a light source, a detector, a conversion unit and a transmission unit; the light source is used for generating light waves, irradiating the light waves to the meat to be detected and reflecting the light waves to generate a spectrum signal; the detector is used for receiving the spectrum signal; the conversion unit is used for converting the spectrum signal into a spectrum digital signal; the transmission unit is used for transmitting the spectral digital signal to the acquisition module.
Specifically, the type of the light source is selected reasonably according to the needs. For example, a miniature halogen light source is selected as the light source. When the light source irradiates the surface of the meat to be detected, the meat to be detected can emit a spectrum signal. The detector is used for collecting the spectrum signals. And reasonably selecting the parameters of the detector according to the requirements. For example, the spectral coverage of the selected detector is 340-1100nm, and the spectral resolution is 3-5 nm. The conversion module converts the spectrum signal acquired by the detector into a spectrum digital signal. The transmission module transmits the spectrum digital signal to the acquisition module. The transmission mode is reasonably selected according to the requirement. For example, the transmission is performed through a communication method such as a USB interface or a bluetooth serial port.
Fig. 3 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 3, the electronic apparatus includes: a processor (processor)310, a communication Interface (communication Interface)320, a memory (memory)330 and a communication bus 340, wherein the processor 310, the communication Interface 320 and the memory 330 communicate with each other via the communication bus 340. The processor 310 may call logic instructions in the memory 330 to perform the following method: acquiring a spectral digital signal of meat to be detected; inputting the spectral digital signal into a meat freshness model to obtain a freshness value of the meat to be detected; the meat freshness model is obtained after training based on the meat spectrum digital signal and a corresponding sample of the meat freshness value.
In addition, the logic instructions in the memory 330 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
An embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer instructions, where the computer instructions cause a computer to execute the method for detecting freshness of meat provided in the foregoing embodiment, for example, the method includes: acquiring a spectral digital signal of meat to be detected; inputting the spectral digital signal into a meat freshness model to obtain a freshness value of the meat to be detected; the meat freshness model is obtained after training based on the meat spectrum digital signal and a corresponding sample of the meat freshness value.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A method for detecting freshness of meat, comprising:
acquiring a spectral digital signal of meat to be detected;
inputting the spectral digital signal into a meat freshness model to obtain a freshness value of the meat to be detected;
the meat freshness model is obtained by training samples based on the meat spectrum digital signals and the corresponding meat freshness value;
the trained meat freshness model comprises:
F＝Wa·Vb+Wb·Va
wherein F is the freshness value of the meat to be detected; vaThe freshness value corresponding to the minimum measurement value is obtained; vbThe freshness value corresponding to the second smallest measurement value; waIs a VaCorresponding weight, WbIs a VbThe corresponding weight;
the minimum metric value is the minimum value in the weighted metric values of the spectral digital signal and the meat freshness value, and the second-smallest metric value is the second-smallest value in the weighted metric values of the spectral digital signal and the meat freshness value;
the weighted measurement value of the spectral digital signal and the meat freshness value is determined by the following formula:
wherein D isi(tk) Weighting measurement value W of the k-th space vector of the digital signal to be subjected to spectrum and the i-th space vector of the digital signal of the standard spectrumkIs the weight, t, of the space vector of the kth spectral digital signal to be measuredkjIs the space vector of the spectral digital signal to be measured, rijIs the space vector of the standard spectrum digital signal, and j is the number of samples to be detected.
2. The meat freshness detection method of claim 1, comprising: the spectrum digital signal of meat that awaits measuring of acquireing includes:
collecting the spectrum signal of the meat to be detected, and converting the spectrum signal into the spectrum digital signal.
3. A meat freshness detection device, comprising:
the acquisition module is used for acquiring the spectral digital signals of the meat to be detected;
the processing module is used for inputting the spectral digital signal into a meat freshness model to obtain a freshness value of the meat to be detected;
the meat freshness model is obtained by training samples based on the meat spectrum digital signals and the corresponding meat freshness value;
the trained meat freshness model comprises:
F＝Wa·Vb+Wb·Va
wherein F is the freshness value of the meat to be detected; vaThe freshness value corresponding to the minimum measurement value is obtained; vbThe freshness value corresponding to the second smallest measurement value; waIs a VaCorresponding weight, WbIs a VbThe corresponding weight;
the minimum metric value is the minimum value in the weighted metric values of the spectral digital signal and the meat freshness value, and the second-smallest metric value is the second-smallest value in the weighted metric values of the spectral digital signal and the meat freshness value;
the weighted measurement value of the spectral digital signal and the meat freshness value is determined by the following formula:
wherein D isi(tk) Weighting measurement value W of the k-th space vector of the digital signal to be subjected to spectrum and the i-th space vector of the digital signal of the standard spectrumkIs the weight, t, of the space vector of the kth spectral digital signal to be measuredkjIs the space vector of the spectral digital signal to be measured, rijIs the space vector of the standard spectrum digital signal, and j is the number of samples to be detected.
4. The meat freshness detection device of claim 3, further comprising:
and the acquisition module is used for acquiring the spectral signal of the meat to be detected and converting the spectral signal into the spectral digital signal.
5. The meat freshness detection device of claim 3, further comprising:
and the display module is used for displaying the freshness value of the meat to be detected.
6. The meat freshness detection device of claim 3, further comprising: and the power module is used for providing electric energy for the meat freshness detection device.
7. The meat freshness detection device of claim 4, wherein the collection module comprises: the device comprises a light source, a detector, a conversion unit and a transmission unit;
the light source is used for generating light waves, irradiating the light waves to the meat to be detected and reflecting the light waves to generate a spectrum signal;
the detector is used for receiving the spectrum signal;
the conversion unit is used for converting the spectrum signal into a spectrum digital signal;
the transmission unit is used for transmitting the spectrum digital signal to the acquisition module.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the meat freshness detection method according to any one of claims 1 to 2.
9. A non-transitory computer readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the meat freshness detection method according to any one of claims 1 to 2.
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| JPH0396838A (en) * | 1989-09-08 | 1991-04-22 | Sumitomo Electric Ind Ltd | Measuring instrument for degree of freshness of meat |
| JPH04291679A (en) * | 1991-03-20 | 1992-10-15 | Hitachi Plant Eng & Constr Co Ltd | Device for discriminating grade of tuna |
| CN101923047A (en) * | 2010-05-17 | 2010-12-22 | 南通北极光自动控制技术有限公司 | Spectrum analyzer for near-infrared-on-line detecting diffuse reflection |
| CN102590103A (en) * | 2012-02-29 | 2012-07-18 | 翟学智 | Near-infrared detector for meat and detection method thereof |
| CN103389274A (en) * | 2013-08-01 | 2013-11-13 | 中国农业大学 | Portable livestock meat detection equipment and method |
| CN106841052B (en) * | 2016-12-29 | 2019-07-12 | 中国科学院遥感与数字地球研究所 | A kind of method and system of quick detection meat freshness |
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