CN111833301A - Automatic beef marbling grade evaluation method based on Internet of things - Google Patents
Automatic beef marbling grade evaluation method based on Internet of things Download PDFInfo
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- CN111833301A CN111833301A CN202010502390.8A CN202010502390A CN111833301A CN 111833301 A CN111833301 A CN 111833301A CN 202010502390 A CN202010502390 A CN 202010502390A CN 111833301 A CN111833301 A CN 111833301A
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- 235000015278 beef Nutrition 0.000 title claims abstract description 80
- 238000011156 evaluation Methods 0.000 title claims abstract description 28
- 238000001514 detection method Methods 0.000 claims abstract description 17
- 239000004579 marble Substances 0.000 claims abstract description 9
- 230000005540 biological transmission Effects 0.000 claims description 16
- 238000005516 engineering process Methods 0.000 claims description 10
- 238000007781 pre-processing Methods 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 7
- 239000002245 particle Substances 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000011161 development Methods 0.000 claims description 4
- 230000003993 interaction Effects 0.000 claims description 3
- 238000000034 method Methods 0.000 description 9
- 230000011218 segmentation Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 210000003205 muscle Anatomy 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 238000003709 image segmentation Methods 0.000 description 1
- 244000144972 livestock Species 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 230000006855 networking Effects 0.000 description 1
- 238000009659 non-destructive testing Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000010561 standard procedure Methods 0.000 description 1
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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- G06T5/70—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30128—Food products
Abstract
The invention provides an Internet of things-based beef marbling grade automatic evaluation method, which is characterized by comprising the following steps of: the system comprises a local terminal module, a cloud server module and a remote terminal module; the local terminal module is a beef marbling acquisition terminal; the cloud server module consists of a database server, an application server and an image data processing program in the application server; the remote terminal module comprises a smart phone and a WeChat applet or APP software or webpage real-time operation software on the smart phone. The invention reduces the volume of the instrument, and leads the nondestructive detection of the marble pattern grade of the beef to be portable and miniaturized; the rapid and real-time evaluation of the marbling grade of the beef is realized.
Description
Technical Field
The invention relates to the technical field of nondestructive testing of agricultural and livestock products, in particular to a beef grading method.
Background
For detection of marble patterns of agricultural products and beef, the traditional detection method adopts manual experience or a template method for evaluation, and the stability is lacked. In recent years, with the development of hyperspectral technology and machine vision technology, many scholars at home and abroad combine the atlas technology with the beef marbling rating, propose some evaluation methods and establish corresponding models.
Sunshao et al beef marbling segmentation based on hyperspectral image spectral information collects hyperspectral images of 400-plus-1000 nm wave bands of beef eye muscle cross sections based on hyperspectral image spectral information, compares the reflection intensity difference of a beef image fat area and a beef image muscle area at different wave bands, further adopts image processing methods such as median filtering, area growth and automatic threshold value taking to respectively segment the beef original images, and results show that the image segmentation algorithm can improve the accuracy of marbling classification. However, the device adopts a hyperspectral image, is expensive, can only be applied to laboratories, cannot be used outdoors, and is difficult to popularize and use.
Zhongtong et al, "beef marbling image feature information extraction and automatic grading method", based on computer vision and image processing technology, proposed an automatic marbling evaluation and grading method, through image analysis, extracted 10 feature parameters reflecting the richness of marbling, and established regression models to predict beef marbling grades, the accuracy can reach 91.2%. However, the method depends on an industrial camera of machine vision and other hardware devices, is expensive in cost and large in size, and cannot meet the requirement of the market on portable detection of the beef marbling grade.
Disclosure of Invention
The invention provides an automatic evaluation method for beef marbling grade based on Internet of things, aiming at solving the defects of the prior art, reducing the volume of an instrument and developing the beef marbling grade nondestructive detection to be portable and miniaturized; the rapid and real-time evaluation of the marbling grade of the beef is realized.
The technical scheme adopted by the invention for solving the technical problems is as follows:
the automatic evaluation method for the marble pattern grade of the beef based on the Internet of things is characterized by comprising the following steps of:
the system comprises a local terminal module, a cloud server module and a remote terminal module;
the local terminal module is a beef marbling acquisition terminal;
the cloud server module consists of a database server, an application server and an image data processing program in the application server;
the remote terminal module comprises a smart phone and a WeChat applet or APP software or webpage real-time operation software on the smart phone;
the beef marbling acquisition terminal transmits the acquired data information of the beef sample to the cloud server module through a transmission protocol;
the data information of the beef sample is stored in a database server, and the image data processing program in the application server finishes the evaluation and prediction of the beef marbling grade according to the data information of the beef sample to obtain a beef marbling grade result;
and the beef marbling grade result is stored in a database server and is transmitted to a WeChat applet or an APP program or webpage real-time operating software which can check the grade result of the remote terminal module through a transmission protocol.
The beef marbling acquisition terminal comprises a smart phone and a WeChat applet or APP software or webpage real-time operation software on the smart phone, wherein the WeChat applet or APP software or webpage real-time operation software is connected with a mobile phone camera interface and drives a mobile phone camera.
And a WeChat applet or APP software or webpage real-time operating software on the smart phone of the remote terminal module is connected with the mobile phone camera interface and drives the mobile phone camera.
Beef marbling acquisition terminal includes the industry camera to install control circuit module unit, control circuit module has transmission protocol's transmission module to match.
The remote terminal module can transmit the acquisition signal through the cloud server by using a WeChat applet or an APP or webpage real-time operating software, and then controls the beef marbling acquisition terminal to evaluate the marbling grade.
The data information of the beef samples collected by the beef marbling acquisition terminal stored by the database server comprises images, sample detection time, beef sample types, a beef marbling total area value, a beef marbling fat particle density value and a sample detection sequence.
The detailed processing of the image data processing program comprises preprocessing the marbleized image, dividing the marbleized image, extracting the marbleized characteristics and calculating the parameters of the marbleized characteristics, and predicting the acquired marbleized grade result information by means of a marbleized grade prediction model established by utilizing the parameters; the pre-processing of the marbleized image comprises image denoising and image enhancement.
The transmission protocol is a WIFI or GPRS protocol.
The cloud server module is an Ali cloud server, the operating system is Windows 2008server, the application server adopts Tomcat as the development environment of the web server, the database server adopts MySQL database, the JDBC driver is adopted for connecting the database server and the application server, JSP technology is adopted for interaction of the local terminal module and the remote terminal module with the cloud server module, the remote terminal module sends a request to the cloud server module, the database server is called, and the extraction and display of the result are completed.
The invention has the advantages that:
1: aiming at the defects of large equipment volume, high price, incapability of being portable and the like in the conventional beef marbling grade evaluation method, the invention combines application programs such as WeChat or APP (application program) of an intelligent terminal and the like with an image processing technology and combines a networking technology and the like, provides a novel method for evaluating the beef marbling grade, reduces the equipment volume, simultaneously realizes simultaneous use and sharing of multiple users, and further provides a novel thought and direction for intelligent detection of the beef quality grade.
2: the scheme can utilize the collected images according to marbling grade evaluation standards (national standards) and the like, complete real-time grading by combining an image processing algorithm, and has an intelligent evaluation function of learning and memory by combining with the Internet of things technology.
Drawings
The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is an overall flow chart of the mobile phone terminal software of the present invention for directly acquiring a marbleized image;
FIG. 2 is an overall flow chart of the present invention in which external hardware directly collects the marbleized images;
FIG. 3 is a flow chart of the marbleized image data processing of the present invention;
fig. 4 is a listing of a database of marbled images.
Detailed Description
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the description will be briefly introduced, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained according to the drawings without inventive labor. In order to facilitate an understanding of the invention, the invention is described in more detail below with reference to the accompanying drawings and specific examples.
The invention mainly comprises three parts:
the system comprises a local terminal module, a cloud server module and a remote terminal module.
The local terminal module mainly comprises a beef marbling acquisition terminal, has an image acquisition function, and stores and displays picture information.
And the beef marbling acquisition terminal comprises two modes of software acquisition and external hardware acquisition.
Software collection mainly depends on a WeChat applet or APP software or webpage real-time operation software on intelligent terminal equipment (namely, a smart phone). The WeChat applet or the APP program or the webpage real-time operation software is connected with the mobile phone camera interface.
The external hardware acquisition comprises a designed image acquisition unit (namely an industrial camera), a control circuit module and a transmission module.
And transmitting the sample image information acquired by the software or the hardware to a cloud server by means of a transmission protocol. The transmission protocol supports WIFI/GPRS and the like.
The cloud server module is an Ali cloud server, the operating system is Windows 2008server, the application server adopts Tomcat as the development environment of the web server, the database server adopts MySQL database, the JDBC driver is adopted for connecting the database server and the application server, JSP technology is adopted for interaction of the local terminal module and the remote terminal module with the cloud server module, the remote terminal module sends a request to the cloud server module, the database server is called, and the extraction and display of the result are completed.
As shown in fig. 4: the database server can store images of the samples detected by the terminal, sample detection time, beef sample types, beef marbling total area values, beef marbling fat particle density values, sample detection sequences and grade results.
The image processing program comprises the steps of marble pattern image preprocessing, marble pattern segmentation, marble pattern feature extraction, feature parameter calculation and model prediction, wherein the image preprocessing comprises image denoising and image enhancement.
The remote terminal module comprises a WeChat applet or an APP program or webpage real-time operation software capable of viewing results.
The working process of the technical scheme is divided into two conditions.
As shown in fig. 1:
in the first case: the marble pattern acquisition terminal is a local intelligent terminal mobile phone software user.
Taking the national standards for marbleizing rating as an example (this method is also applicable to other standard methods),
under the condition, when a local user collects the marbleized image information, the used collection camera is a mobile phone camera, the mobile phone camera is driven by a WeChat applet or APP software or webpage real-time operation software, and the functions of photographing, focusing, image storage and the like are realized. The method comprises the steps of collecting beef marbling sample information by using software, obtaining sample image information, parameters such as total marbling area, fat particle density value and the like, and storing the parameters in local terminal equipment. And then transmitting the acquired images, the sample detection time, the beef sample types, the beef marbling total area values, the beef marbling fat particle density values and the data information of the sample detection sequence to a cloud server in real time by utilizing a WIFI/GPRS protocol.
And all the parameters are transmitted to a database server in the cloud server and stored, and meanwhile, the evaluation and prediction of the beef marbling grade are completed by utilizing an image data processing program in an application server in the cloud server.
As shown in fig. 3: the image data processing program may use the marbleizing image preprocessing (including image denoising and image enhancement), the marbleizing segmentation, the marbleizing feature extraction and the marbleizing feature parameter calculation of the existing beef marbleizing level evaluation method, and obtain the marbleizing level result information by means of a marbleizing level prediction model program established using a plurality of parameters.
And the grade result obtained after the image data is processed is also stored in the database server, and can be transmitted to a WeChat applet or an APP program or webpage real-time operation software of a local user or a WeChat applet or an APP program or webpage real-time operation software of an off-site user by utilizing WIFI/GPRS, so that the grade result can be checked and displayed in real time.
The local user and the remote user are not fixed and can be alternately replaced at any time, namely the local user can also check the result. The remote user can also utilize a WeChat applet or an APP program or webpage real-time operating software on the mobile phone to be connected with the mobile phone camera interface to complete the acquisition and transmission of the marbling image information.
As shown in fig. 2:
in the second case: the marbling acquisition image adopts external acquisition hardware and is matched with a control and transmission module.
Under the second condition, the local user adopts the image acquisition unit (also an industrial camera) to the external acquisition hardware of the marbling image, and installs the control circuit module unit, and the control circuit module is matched with the transmission module with the WIFI/GPRS protocol, so that the real-time communication with the cloud server can be ensured.
After the external acquisition hardware is used for acquiring the marbling image information, the data information of the image, the sample detection time, the beef sample type, the beef marbling total area value, the beef marbling fat particle density value and the sample detection sequence is transmitted to the cloud server in real time through the WIFI/GPRS module installed on the hardware.
And all the parameters are transmitted to a database server in the cloud server and stored, and meanwhile, the evaluation and prediction of the beef marbling grade are completed by utilizing an image data processing program in an application server in the cloud server.
The image data processing program may use the marbleizing image preprocessing (including image denoising and image enhancement), the marbleizing segmentation, the marbleizing feature extraction and the marbleizing feature parameter calculation of the existing beef marbleizing level evaluation method, and obtain the marbleizing level result information by means of a marbleizing level prediction model program established using a plurality of parameters.
And storing the grade result obtained after the image data is processed into a database server, and then updating the information to a WeChat applet or an APP program or webpage real-time operating software of the remote user in real time by utilizing WIFI/GPRS. Under the condition, a user at the acquisition end needs to be matched with hardware, a user at a different place can check the detection result in real time, and can transmit an acquisition signal through a cloud server by using a WeChat applet or an APP program or webpage real-time operation software, so that the external acquisition hardware is controlled to evaluate the marble pattern grade.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. The automatic evaluation method for the marble pattern grade of the beef based on the Internet of things is characterized by comprising the following steps of:
the system comprises a local terminal module, a cloud server module and a remote terminal module;
the local terminal module is a beef marbling acquisition terminal;
the cloud server module consists of a database server, an application server and an image data processing program in the application server;
the remote terminal module comprises a smart phone and a WeChat applet or APP software or webpage real-time operation software on the smart phone;
the beef marbling acquisition terminal transmits the acquired data information of the beef sample to the cloud server module through a transmission protocol;
the data information of the beef sample is stored in a database server, and the image data processing program in the application server finishes the evaluation and prediction of the beef marbling grade according to the data information of the beef sample to obtain a beef marbling grade result;
and the beef marbling grade result is stored in a database server and is transmitted to a WeChat applet or an APP program or webpage real-time operating software which can check the grade result of the remote terminal module through a transmission protocol.
2. The internet-of-things-based beef marbling grade automatic evaluation method of claim 1, characterized in that: the beef marbling acquisition terminal comprises a smart phone and a WeChat applet or APP software or webpage real-time operation software on the smart phone, wherein the WeChat applet or APP software or webpage real-time operation software is connected with a mobile phone camera interface and drives a mobile phone camera.
3. The internet-of-things-based beef marbling grade automatic evaluation method of claim 2, characterized in that: and a WeChat applet or APP software or webpage real-time operating software on the smart phone of the remote terminal module is connected with the mobile phone camera interface and drives the mobile phone camera.
4. The internet-of-things-based beef marbling grade automatic evaluation method of claim 1, characterized in that: beef marbling acquisition terminal includes the industry camera to install control circuit module unit, control circuit module has transmission protocol's transmission module to match.
5. The internet-of-things-based beef marbling grade automatic evaluation method of claim 1, characterized in that: the remote terminal module can transmit the acquisition signal through the cloud server by using a WeChat applet or an APP or webpage real-time operating software, and then controls the beef marbling acquisition terminal to evaluate the marbling grade.
6. The internet-of-things-based beef marbling grade automatic evaluation method of claim 1, characterized in that: the data information of the beef sample comprises an image, sample detection time, beef sample types, a beef marbling total area value, a beef marbling fat particle density value and a sample detection sequence.
7. The internet-of-things-based beef marbling grade automatic evaluation method of claim 1, characterized in that: the detailed processing of the image data processing program comprises preprocessing the marbleized image, dividing the marbleized image, extracting the marbleized characteristics and calculating the parameters of the marbleized characteristics, and predicting the acquired marbleized grade result information by means of a marbleized grade prediction model established by utilizing the parameters; the pre-processing of the marbleized image comprises image denoising and image enhancement.
8. The internet-of-things-based beef marbling grade automatic evaluation method of claim 1, characterized in that: the transmission protocol is a WIFI or GPRS protocol.
9. The internet-of-things-based beef marbling grade automatic evaluation method of claim 1, characterized in that: the cloud server module is an Ali cloud server, the operating system is Windows 2008server, the application server adopts Tomcat as the development environment of the web server, the database server adopts MySQL database, the JDBC driver is adopted for connecting the database server and the application server, JSP technology is adopted for interaction of the local terminal module and the remote terminal module with the cloud server module, the remote terminal module sends a request to the cloud server module, the database server is called, and the extraction and display of the result are completed.
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