CN116187626A - Organic agricultural product safety tracing, tracking and monitoring management system based on big data - Google Patents
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Abstract
The invention discloses a security tracing, tracking and monitoring management system for organic agricultural products based on big data, which belongs to the field of organic agricultural products and is used for solving the problem of insufficient tracing depth of the current agricultural products, and comprises a tracing and identifying module, a patrol period setting module and an intelligent supervision module, wherein the patrol period setting module is used for setting the patrol period of the organic agricultural products to obtain the monitoring grade of the organic agricultural products, and the tracing and identifying module is used for tracing and identifying the organic agricultural products according to tracing codes to generate an abnormal signal or a normal signal; the intelligent supervision module is used for intelligently supervising the product condition of the organic agricultural products, generating a product normal signal, a product off-shelf signal and a product verification signal or obtaining abnormal agricultural products and abnormal agricultural products.
Description
Technical Field
The invention belongs to the field of organic agricultural products, relates to a tracing and monitoring technology, and in particular relates to a security tracing and monitoring management system for organic agricultural products based on big data.
Background
The organic agricultural products are pollution-free, high-quality, safe and nutritional high-grade food, which are produced and processed according to the organic agricultural principle and the production mode and standard of the organic agricultural products and are authenticated by an organic food authentication mechanism. The principle of organic agriculture is that the whole process utilizes agricultural resources instead of energy sources (fertilizers, pesticides, production regulators, additives, etc.) outside agriculture to influence and change the energy cycle of agriculture when the production is in a closed cycle state of agricultural energy. The organic agriculture production mode is a production mode which utilizes 4 production factors of animals, plants, microorganisms and soil to effectively circulate and does not break a biological circulation chain.
When tracing the agricultural products, the current tracing mode is limited to a person who obtains the agricultural products, the agricultural products trace the source and float on the surface, and the depth of safe tracing and feeding is not enough; therefore, we propose a security traceability tracking monitoring management system of organic agricultural products based on big data.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a security traceability tracking monitoring management system for organic agricultural products based on big data.
The technical problems to be solved by the invention are as follows:
how to set the tracing force of the organic agricultural products based on the product condition, and how to realize the deep tracing and tracking monitoring of the organic agricultural products under the corresponding tracing force.
The aim of the invention can be achieved by the following technical scheme:
the system comprises a data acquisition module, a tracking and identification module, a storage module, a supervision terminal, a user terminal, a patrol period setting module, an intelligent supervision module and a server, wherein the user terminal is used for inputting product information of the organic agricultural products, adding a mark product number and sending the product information to the server, and the server sends the product information with the product number to the storage module;
the storage module is also used for recording the product safety information of different organic agricultural products, sending the product safety information of the organic agricultural products to the server according to the product numbers, and sending the product safety information to the inspection period setting module by the server;
the inspection period setting module is used for setting the inspection period of the organic agricultural products, obtaining the monitoring grade of the organic agricultural products, feeding back the monitoring grade to the server, and sending the inspection period corresponding to the organic agricultural products to the data acquisition module by the server according to the monitoring grade;
during inspection, the data acquisition module is used for acquiring real-time pictures of the product traceability codes on the organic agricultural products and sending the real-time pictures to the server, and the server sends the traceability codes to the traceability identification module;
the storage module sends product information corresponding to the organic agricultural products to the tracking and identifying module and the intelligent supervision module according to the product numbers, and the tracking and identifying module is used for tracking and identifying the organic agricultural products according to the tracing codes to generate an abnormal identification signal or a normal identification signal;
the intelligent supervision module is used for intelligently supervising the product condition of the organic agricultural products and generating a product normal signal, a product off-shelf signal and a product verification signal or obtaining abnormal agricultural products and abnormal agricultural products.
Further, the product information is the product name, product batch, product production date, product validity period, product traceability code and original picture of the product traceability code of the organic agricultural product;
the product safety information is the number of product anomalies of the organic agricultural product, and the anomaly time and anomaly rate at each anomaly.
Further, the setting process of the inspection cycle setting module is specifically as follows:
labeling the organic agricultural product as u, u=1, 2, … …, z, z being a positive integer;
acquiring the abnormal times of the products of the organic agricultural products, and marking the abnormal times of the products as YCu;
then obtaining the abnormal time and the abnormal rate when each abnormality occurs, calculating the difference value of adjacent abnormal time to obtain a plurality of groups of abnormal interval time, adding and summing the plurality of groups of abnormal interval time to obtain an average abnormal interval time JTu of the organic agricultural product;
adding and summing the abnormal rates of the organic agricultural products when the organic agricultural products are abnormal each time, and obtaining an average value to obtain an abnormal average rate JLu of the organic agricultural products;
product anomaly CYu for the organic agricultural product is calculated by formula CYu = (YCu ×a1+ JLu ×a2)/JTu; wherein a1 and a2 are proportionality coefficients with fixed values, and the values of a1 and a2 are larger than zero;
if the abnormal value of the product is smaller than the abnormal threshold value of the first product, the monitoring grade of the organic agricultural product is a third monitoring grade;
if the abnormal value of the product is larger than or equal to the abnormal threshold value of the first product and smaller than the abnormal threshold value of the second product, the monitoring grade of the organic agricultural product is the second monitoring grade;
and if the abnormal value of the product is greater than or equal to the abnormal threshold value of the second product, the monitoring grade of the organic agricultural product is the first monitoring grade.
Further, the value of the first product abnormality threshold is smaller than the value of the second product abnormality threshold;
the first monitoring level is higher than the second monitoring level, which is higher than the third monitoring level.
Further, the corresponding relation between the monitoring level and the inspection period is specifically:
if the first monitoring level is the first monitoring level, the inspection period of the organic agricultural products is Y1 hours;
if the first monitoring level is the second monitoring level, the inspection period of the organic agricultural products is Y2 hours;
if the inspection level is the third monitoring level, the inspection period of the organic agricultural products is Y3 hours; wherein Y1 is less than Y2 and less than Y3.
Further, the working process of the tracking and identifying module is specifically as follows:
acquiring a real-time picture of a product traceability code on an organic agricultural product;
then, obtaining an original picture of a product traceability code on the organic agricultural product;
adjusting the real-time picture and the original picture to the same specification;
then, a coordinate system of the real-time picture and the original picture is built by taking the upper left corner as an origin;
inputting four groups of position coordinates, intercepting from a real-time picture to obtain a real-time picture, and intercepting from an original picture to obtain the original picture;
gray processing is carried out on the real-time picture frame and the original picture frame, so that the pixel points of all colors in the real-time picture frame and the pixel points of all colors in the original picture frame are obtained;
if the pixel number of any color in the real-time picture frame is different from the pixel number of the corresponding color in the original picture frame, generating an identification abnormal signal;
if the pixel points of all colors in the real-time picture frame are the same as the pixel points of the corresponding colors in the original picture frame, generating an identification normal signal.
Further, the tracking and identifying module feeds back an abnormal signal or a normal signal to the server;
if the server receives the identification normal signal, no operation is performed;
if the server receives the identification abnormal signal, the identification abnormal signal is sent to the supervision terminal, and the supervision terminal receives the identification abnormal signal and is used for checking the corresponding organic agricultural products.
Further, the intelligent supervision module is used for intelligently supervising the product condition of the organic agricultural products, and the intelligent supervision process is specifically as follows:
acquiring the production date and the expiration date of the organic agricultural products;
then obtaining the current time of the server, and obtaining the product tracing duration of the organic agricultural products by utilizing the product production date of the current time;
if the product tracing time is longer than or equal to the product validity period, the organic agricultural products are obtained and calibrated as abnormal agricultural products, and meanwhile, the product batch corresponding to the abnormal agricultural products is obtained;
if the product tracing time length is smaller than the product effective time length, subtracting the product tracing time length from the product effective time length to obtain the product effective residual time length of the organic agricultural product;
if the effective remaining time length of the product is greater than or equal to a second time length threshold value, generating a product normal signal;
if the effective remaining time length of the product is smaller than the second time length threshold value and larger than or equal to the first time length threshold value, a product verification signal is generated;
if the effective remaining time length of the product is smaller than the first time length threshold value, a product off-shelf signal is generated; wherein the value of the second time length threshold is larger than the value of the first time length threshold.
Further, the intelligent supervision module feeds back the normal product signals, the off-shelf product signals, the verification product signals or the abnormal agricultural products or the product batch of the abnormal agricultural products to the server;
if the server receives the product normal signal, no operation is performed, if the server receives the product verification signal, the product verification signal is sent to the supervision terminal, and the supervision terminal receives the product verification signal for quality verification of the corresponding organic agricultural products;
if the server receives the product shelving signal, the product shelving signal is sent to a user terminal and a supervision terminal, the user terminal receives the product shelving signal and is used for carrying out shelf shelving processing on the corresponding organic agricultural products, and meanwhile, the supervision terminal is used for supervising shelf shelving work of the organic agricultural products.
Compared with the prior art, the invention has the beneficial effects that: the invention firstly utilizes a patrol period setting module to set the patrol period of the organic agricultural products to obtain the monitoring grade of the organic agricultural products, the corresponding patrol period of the organic agricultural products is used for carrying out tracking identification on the organic agricultural products according to the monitoring grade, the tracking identification module is used for carrying out tracking identification on the organic agricultural products according to the traceability code to generate an identification abnormal signal or an identification normal signal during actual patrol, and meanwhile, the intelligent supervision module carries out intelligent supervision on the product condition of the organic agricultural products to generate a product normal signal, a product unloading signal, a product verification signal or obtain the abnormal agricultural products and the abnormal agricultural products.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a system for tracing, tracking and monitoring the safety of organic agricultural products based on big data is used for tracing and tracking the safety of the organic agricultural products;
in this embodiment, the system includes a data acquisition module, a tracking identification module, a storage module, a supervision terminal, a user terminal, a patrol cycle setting module, an intelligent supervision module, and a server;
in the specific implementation, the user terminal can be used for inputting corresponding personal information by related personnel in a certain link in the tracing flow of the organic agricultural products and then registering the login system, and the supervision terminal is used for inputting corresponding personal information by supervision personnel of the organic agricultural products and then registering the login system, wherein the individuals comprise names, identification card numbers, mobile phone numbers and the like;
the user terminal is used for inputting the product information of the organic agricultural products, adding the product numbers, sending the product information to the server, and sending the product information with the product numbers to the storage module;
the method comprises the steps that product information is initially input by a producer of organic agricultural products, and when the organic agricultural products reach the next link, corresponding related personnel of the link input traceability codes of the organic agricultural products through code scanning equipment, wherein the code scanning equipment comprises a traceability code input gun, a code scanning gun and the like;
the specific explanation is that the product information is the product name, the product batch, the product production date, the product validity period, the product traceability code and the original picture of the product traceability code of the organic agricultural product;
in this embodiment, the storage module is further configured to record product security information of different organic agricultural products, and send the product security information of the organic agricultural products to the server according to the product number, where the server sends the product security information to the inspection cycle setting module;
the product safety information is the abnormal times of the organic agricultural products, the abnormal time and the abnormal rate of each abnormal time, wherein the abnormal behavior of the organic agricultural products comprises the abnormal times of the organic agricultural products in the last month or the last quarter, the abnormal times of the organic agricultural products are obtained by comparing the quantity of the abnormal organic agricultural products in each inspection with the total inspection quantity of the organic agricultural products, and the abnormal behaviors of the organic agricultural products comprise the abnormal times of the organic agricultural products in the last month or the last quarter, wherein the abnormal behaviors of the organic agricultural products comprise the quality problems and the abnormal behaviors of the organic agricultural products are not up to standard;
the inspection period setting module is used for setting the inspection period of the organic agricultural products, and the setting process is specifically as follows:
labeling the organic agricultural product as u, u=1, 2, … …, z, z being a positive integer;
acquiring the abnormal times of the products of the organic agricultural products, and marking the abnormal times of the products as YCu;
then obtaining the abnormal time and the abnormal rate when each abnormality occurs, calculating the difference value of adjacent abnormal time to obtain a plurality of groups of abnormal interval time, adding and summing the plurality of groups of abnormal interval time to obtain an average abnormal interval time JTu of the organic agricultural product;
adding and summing the abnormal rates of the organic agricultural products when the organic agricultural products are abnormal each time, and obtaining an average value to obtain an abnormal average rate JLu of the organic agricultural products;
product anomaly CYu for the organic agricultural product is calculated by formula CYu = (YCu ×a1+ JLu ×a2)/JTu; wherein a1 and a2 are proportionality coefficients with fixed values, and the values of a1 and a2 are larger than zero;
if the abnormal value of the product is smaller than the abnormal threshold value of the first product, the monitoring grade of the organic agricultural product is a third monitoring grade;
if the abnormal value of the product is larger than or equal to the abnormal threshold value of the first product and smaller than the abnormal threshold value of the second product, the monitoring grade of the organic agricultural product is the second monitoring grade;
if the abnormal value of the product is greater than or equal to the abnormal threshold value of the second product, the monitoring grade of the organic agricultural product is the first monitoring grade; wherein the value of the first product abnormal threshold is smaller than the value of the second product abnormal threshold;
it is understood that the first monitoring level is higher than the second monitoring level, which is higher than the third monitoring level;
the inspection period setting module feeds the monitoring grade of the organic agricultural products back to the server, and the server sends the inspection period corresponding to the organic agricultural products to the data acquisition module according to the monitoring grade;
in this embodiment, the corresponding relationship between the monitoring level and the inspection cycle is specifically:
if the first monitoring level is the first monitoring level, the inspection period of the organic agricultural products is Y1 hours;
if the first monitoring level is the second monitoring level, the inspection period of the organic agricultural products is Y2 hours;
if the inspection level is the third monitoring level, the inspection period of the organic agricultural products is Y3 hours; wherein Y1 < Y2 < Y3, and in practice, Y3 may have a value of 48, Y2 may have a value of 24, and Y1 may have a value of 12, where the specific values for Y1, Y2, and Y3 are merely examples;
it can be understood that the inspection cycle of the first monitoring level is smaller than the inspection cycle of the second monitoring level, and the inspection cycle of the second monitoring level is smaller than the inspection cycle of the third monitoring level;
when the inspection time of the organic agricultural products is reached, the data acquisition module is used for acquiring real-time pictures of the product traceability codes on the organic agricultural products and sending the real-time pictures to the server, and the server sends the traceability codes to the traceability identification module;
specifically, the data acquisition module is a high-definition camera and is used for shooting a traceability code on an organic agricultural product, for example, the organic agricultural product is packaged by a paper packaging box, the traceability code is sprayed on the packaging box, and a real-time picture of the traceability code is obtained by cutting along the edge position of the traceability code;
the storage module sends product information corresponding to the organic agricultural products to the tracking and identifying module and the intelligent supervision module according to the product numbers, and the tracking and identifying module is used for tracking and identifying the organic agricultural products according to the traceability codes, and the working process is as follows:
acquiring a real-time picture of a product traceability code on an organic agricultural product;
then, obtaining an original picture of a product traceability code on the organic agricultural product;
adjusting the real-time picture and the original picture to the same specification;
then, a coordinate system of the real-time picture and the original picture is built by taking the upper left corner as an origin;
inputting four groups of position coordinates, intercepting from a real-time picture to obtain a real-time picture, and intercepting from an original picture to obtain the original picture;
gray processing is carried out on the real-time picture frame and the original picture frame, so that the pixel points of all colors in the real-time picture frame and the pixel points of all colors in the original picture frame are obtained;
if the pixel number of any color in the real-time picture frame is different from the pixel number of the corresponding color in the original picture frame, generating an identification abnormal signal;
if the pixel points of all colors in the real-time picture frame are the same as the pixel points of the corresponding colors in the original picture frame, generating an identification normal signal;
the tracking and identifying module feeds back an identification abnormal signal or an identification normal signal to the server, if the server receives the identification normal signal, no operation is performed, if the server receives the identification abnormal signal, the identification abnormal signal is sent to the supervision terminal, and the supervision terminal receives the identification abnormal signal for checking the organic agricultural products;
the intelligent supervision module is used for intelligently supervising the product condition of the organic agricultural products, and the intelligent supervision process is specifically as follows:
acquiring the production date and the expiration date of the organic agricultural products;
then obtaining the current time of the server, and obtaining the product tracing duration of the organic agricultural products by utilizing the product production date of the current time;
if the product tracing time is longer than or equal to the product validity period, the organic agricultural products are obtained and calibrated as abnormal agricultural products, and meanwhile, the product batch corresponding to the abnormal agricultural products is obtained;
if the product tracing time length is smaller than the product effective time length, subtracting the product tracing time length from the product effective time length to obtain the product effective residual time length of the organic agricultural product;
if the effective remaining time length of the product is greater than or equal to a second time length threshold value, generating a product normal signal;
if the effective remaining time length of the product is smaller than the second time length threshold value and larger than or equal to the first time length threshold value, a product verification signal is generated;
if the effective remaining time length of the product is smaller than the first time length threshold value, a product off-shelf signal is generated; wherein the value of the second time length threshold is larger than the value of the first time length threshold;
the intelligent supervision module feeds back a product normal signal, a product shelving signal, a product verification signal or a product batch of abnormal agricultural products and abnormal agricultural products to the server, if the server receives the product normal signal, the server does not perform any operation, if the server receives the product verification signal, the product verification signal is sent to the supervision terminal, the supervision terminal receives the product verification signal and is used for performing quality verification on the corresponding organic agricultural products, if the server receives the product shelving signal, the product shelving signal is sent to the user terminal and the supervision terminal, the user terminal receives the product shelving signal and is used for carrying out shelving processing on the corresponding organic agricultural products, and meanwhile the supervision terminal is used for supervising the shelving work of the organic agricultural products.
In the present application, if a corresponding calculation formula appears, the above calculation formulas are all dimensionality-removed and numerical calculation, and the size of the weight coefficient, the scale coefficient and other coefficients existing in the formulas is a result value obtained by quantizing each parameter, so long as the proportional relation between the parameter and the result value is not affected.
Based on the same conception, the invention provides a working method of an organic agricultural product safety tracing, tracking and monitoring management system based on big data, which comprises the following steps:
step S101, a user terminal inputs product information of organic agricultural products, marks the product numbers, sends the product information to a server, the server sends the product information with the product numbers to a storage module, the storage module also records product safety information of different organic agricultural products, sends the product safety information of the organic agricultural products to the server according to the product numbers, and the server sends the product safety information to a patrol period setting module;
step S102, a patrol cycle setting module sets a patrol cycle of an organic agricultural product to obtain the abnormal times YCu of the organic agricultural product, then obtains abnormal time and abnormal rate of each abnormal time, calculates the difference value of adjacent abnormal time to obtain a plurality of groups of abnormal interval time, adds and sums the abnormal time to obtain the average abnormal interval time JTu of the organic agricultural product, adds and sums the abnormal rate of each abnormal time of the organic agricultural product to obtain the average abnormal rate JLu of the organic agricultural product, calculates the abnormal value CYu of the organic agricultural product through a formula CYu = (YCu x a1+ JLu x a 2)/JTu, if the abnormal value of the product is smaller than a first abnormal product threshold, the monitoring grade of the organic agricultural product is a third monitoring grade, if the abnormal value of the product is larger than or equal to the first abnormal product threshold and smaller than a second abnormal product threshold, the monitoring grade of the organic agricultural product is the first monitoring grade, and if the abnormal value of the product is larger than or equal to the second abnormal product threshold, the monitoring grade of the organic agricultural product is the first monitoring grade, the patrol cycle is set by the patrol cycle setting module to the corresponding to the monitoring grade of the organic agricultural product by the server according to the collected data of the monitoring cycle;
step S103, when the inspection time of the organic agricultural products is reached, a data acquisition module acquires real-time pictures of product traceability codes on the organic agricultural products, the real-time pictures are sent to a server, and the server sends the traceability codes to a traceability identification module;
step S104, the storage module sends product information corresponding to the organic agricultural products to the tracking recognition module and the intelligent supervision module according to the product numbers, the tracking recognition module carries out tracking recognition on the organic agricultural products according to the tracking code, real-time pictures of the product tracking code on the organic agricultural products are obtained, then original pictures of the product tracking code on the organic agricultural products are obtained, the real-time pictures and the original pictures are adjusted to the same specification, then coordinate systems of the real-time pictures and the original pictures are built by taking the upper left corner as an origin, four sets of position coordinates are input, a real-time picture grid is obtained by intercepting the real-time pictures, the original picture grid is obtained by intercepting the original pictures, gray processing is carried out on the real-time picture grid and the original picture grid, the pixel points of all colors in the real-time picture grid and the pixel points of all colors in the original picture grid are obtained, if the pixel points of any color in the real-time picture grid are different from the pixel points of the corresponding color in the original picture grid, an abnormal recognition signal is generated, if the pixel points of all colors in the real-time picture grid are the same as the pixel points of the corresponding colors in the original picture grid, the abnormal signal is generated, the tracking recognition signal or the recognition signal is received by the server if the abnormal signal is received by the monitoring signal is received to the terminal, if the abnormal signal is received by the monitoring signal, and the abnormal signal is received by the monitoring signal is received by the terminal if the normal operation is received;
step S105, the intelligent supervision module intelligently supervises the product condition of the organic agricultural products to obtain the product production date and the product effective period of the organic agricultural products, then obtains the current time of the server, obtains the product tracing time of the organic agricultural products by utilizing the product production date of the current time, obtains the product marking as the abnormal agricultural products if the product tracing time period is greater than or equal to the product effective period, simultaneously obtains the product batch corresponding to the abnormal agricultural products, obtains the product effective residual time of the organic agricultural products by subtracting the product tracing time period from the product effective period if the product tracing time period is less than the product effective period, generates a product normal signal if the product effective residual time period is greater than or equal to a second time threshold, generates a product verification signal if the product effective residual time period is less than or equal to the first time threshold, and generates a product shelf-down signal if the product effective residual time period is less than the first time threshold;
and S106, feeding back a product normal signal, a product shelving signal, a product verification signal or a product batch of abnormal agricultural products and abnormal agricultural products to the server by the intelligent supervision module, if the server receives the product normal signal, not performing any operation, if the server receives the product verification signal, sending the product verification signal to the supervision terminal, and if the supervision terminal receives the product shelving signal, sending the product shelving signal to the user terminal and the supervision terminal, wherein the user terminal receives the product shelving signal to perform shelf shelving processing on the corresponding organic agricultural products, and meanwhile, the supervision terminal supervises the shelf shelving work of the organic agricultural products.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (9)
1. The system is characterized by comprising a data acquisition module, a tracking and identification module, a storage module, a user terminal, a patrol period setting module, an intelligent supervision module and a server, wherein the user terminal is used for inputting the product information of the organic agricultural products, adding a mark product number and sending the product information to the server, and the server sends the product information with the product number to the storage module;
the storage module is also used for recording the product safety information of different organic agricultural products, sending the product safety information of the organic agricultural products to the server according to the product numbers, and sending the product safety information to the inspection period setting module by the server;
the inspection period setting module is used for setting the inspection period of the organic agricultural products, obtaining the monitoring grade of the organic agricultural products, feeding back the monitoring grade to the server, and sending the inspection period corresponding to the organic agricultural products to the data acquisition module by the server according to the monitoring grade;
during inspection, the data acquisition module is used for acquiring real-time pictures of the product traceability codes on the organic agricultural products and sending the real-time pictures to the server, and the server sends the traceability codes to the traceability identification module;
the storage module sends product information corresponding to the organic agricultural products to the tracking and identifying module and the intelligent supervision module according to the product numbers, and the tracking and identifying module is used for tracking and identifying the organic agricultural products according to the tracing codes to generate an abnormal identification signal or a normal identification signal;
the intelligent supervision module is used for intelligently supervising the product condition of the organic agricultural products and generating a product normal signal, a product off-shelf signal and a product verification signal or obtaining abnormal agricultural products and abnormal agricultural products.
2. The system for tracing, tracking and monitoring the safety of the organic agricultural products based on big data according to claim 1, wherein the product information is the product name, the product batch, the product production date, the product validity period, the product tracing code and the original picture of the product tracing code of the organic agricultural products;
the product safety information is the number of product anomalies of the organic agricultural product, and the anomaly time and anomaly rate at each anomaly.
3. The system for managing the tracing, tracking and monitoring of the safety of the organic agricultural products based on big data according to claim 2, wherein the setting process of the inspection cycle setting module is specifically as follows:
obtaining abnormal times of products of the organic agricultural products;
then obtaining the abnormal time and the abnormal rate of each abnormal time, calculating the difference value of adjacent abnormal time to obtain a plurality of groups of abnormal interval time, adding and summing the plurality of groups of abnormal interval time to obtain the average abnormal interval time of the organic agricultural product;
adding and summing the abnormal rates of the organic agricultural products when the organic agricultural products are abnormal each time, and obtaining an average value to obtain the abnormal average rate of the organic agricultural products;
calculating to obtain a product abnormal value of the organic agricultural product;
and comparing the abnormal value of the product with the abnormal threshold value of the product, and judging the monitoring grade of the organic agricultural product as a third monitoring grade, a second monitoring grade or a first monitoring grade.
4. A security traceability tracking and monitoring management system for organic agricultural products based on big data according to claim 3, wherein the first monitoring level is higher than the second monitoring level, which is higher than the third monitoring level.
5. The system for tracing, tracking and monitoring the safety of the organic agricultural products based on big data according to claim 4, wherein the corresponding relation between the monitoring level and the inspection period is specifically:
if the first monitoring level is the first monitoring level, the inspection period of the organic agricultural products is Y1 hours;
if the first monitoring level is the second monitoring level, the inspection period of the organic agricultural products is Y2 hours;
if the inspection level is the third monitoring level, the inspection period of the organic agricultural products is Y3 hours; wherein Y1 is less than Y2 and less than Y3.
6. The system for managing the security traceability, tracking and monitoring of the organic agricultural products based on big data according to claim 1, wherein the working process of the tracking and identifying module is specifically as follows:
acquiring a real-time picture and an original picture of a product traceability code on an organic agricultural product;
adjusting the real-time picture and the original picture to the same specification;
then, a coordinate system of the real-time picture and the original picture is built by taking the upper left corner as an origin;
inputting four groups of position coordinates, intercepting from a real-time picture to obtain a real-time picture, and intercepting from an original picture to obtain the original picture;
gray processing is carried out on the real-time picture frame and the original picture frame, so that the pixel points of all colors in the real-time picture frame and the pixel points of all colors in the original picture frame are obtained;
if the pixel number of any color in the real-time picture frame is different from the pixel number of the corresponding color in the original picture frame, generating an identification abnormal signal;
if the pixel points of all colors in the real-time picture frame are the same as the pixel points of the corresponding colors in the original picture frame, generating an identification normal signal.
7. The system for tracing, tracking and monitoring and managing the safety of the organic agricultural products based on big data according to claim 6, wherein the tracking and identifying module feeds back an abnormal signal or a normal signal to the server;
if the server receives the identification normal signal, no operation is performed;
if the server receives the identification abnormal signal, the identification abnormal signal is sent to the supervision terminal, and the supervision terminal receives the identification abnormal signal and is used for checking the corresponding organic agricultural products.
8. The organic agricultural product safety traceability tracking monitoring management system based on big data according to claim 7, wherein the intelligent supervision process of the intelligent supervision module is specifically as follows:
acquiring the production date and the expiration date of the organic agricultural products;
then obtaining the current time of the server, and obtaining the product tracing duration of the organic agricultural products by utilizing the product production date of the current time;
if the product tracing time is longer than or equal to the product validity period, the organic agricultural products are obtained and calibrated as abnormal agricultural products, and meanwhile, the product batch corresponding to the abnormal agricultural products is obtained;
if the product tracing time length is smaller than the product effective time length, subtracting the product tracing time length from the product effective time length to obtain the product effective residual time length of the organic agricultural product;
if the effective remaining time length of the product is greater than or equal to a second time length threshold value, generating a product normal signal;
if the effective remaining time length of the product is smaller than the second time length threshold value and larger than or equal to the first time length threshold value, a product verification signal is generated;
if the effective remaining time length of the product is smaller than the first time length threshold value, a product off-shelf signal is generated; wherein the value of the second time length threshold is larger than the value of the first time length threshold.
9. The system for tracing, tracking and monitoring and managing the safety of the organic agricultural products based on big data according to claim 8, wherein the intelligent supervision module feeds back the product normal signal, the product off-shelf signal, the product verification signal or the product batch of the abnormal agricultural products and the abnormal agricultural products to the server;
if the server receives the product normal signal, no operation is performed, if the server receives the product verification signal, the product verification signal is sent to the supervision terminal, and the supervision terminal receives the product verification signal and is used for carrying out quality verification on the corresponding organic agricultural products;
if the server receives the product shelving signal, the product shelving signal is sent to a user terminal and a supervision terminal, the user terminal receives the product shelving signal and is used for carrying out shelf shelving processing on the corresponding organic agricultural products, and meanwhile, the supervision terminal is used for supervising shelf shelving work of the organic agricultural products.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118052473A (en) * | 2024-03-11 | 2024-05-17 | 江苏瑞丰信息技术股份有限公司 | Agricultural product quality safety scoring method for major problems |
| CN118071214A (en) * | 2024-04-22 | 2024-05-24 | 山东临创数谷信息科技有限公司 | Agricultural product planting traceability analysis management system and method based on big data |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009151668A (en) * | 2007-12-21 | 2009-07-09 | Hitachi Ltd | Agricultural product traceability system, agricultural product traceability method, agricultural product traceability program, and retail dealer terminal |
| CN101885391A (en) * | 2010-06-04 | 2010-11-17 | 北京赛腾工业标识系统有限公司 | Device and method for acquiring product coded identifier information |
| CN106327133A (en) * | 2016-08-31 | 2017-01-11 | 北京龙德时代技术服务有限公司 | Security identity product quality tracing system based on Internet |
| CN112344990A (en) * | 2020-10-21 | 2021-02-09 | 平安国际智慧城市科技股份有限公司 | Environmental anomaly monitoring method, device, equipment and storage medium |
| CN114358472A (en) * | 2021-11-23 | 2022-04-15 | 国网浙江省电力有限公司嘉兴供电公司 | Product full life cycle tracing method based on new energy industry interconnection |
| CN115100440A (en) * | 2022-08-22 | 2022-09-23 | 深圳市今朝时代股份有限公司 | Power supply supervision feedback system based on super capacitor energy storage |
| CN115293789A (en) * | 2022-09-30 | 2022-11-04 | 山东商业职业技术学院 | Organic agricultural product security traceability system and method based on cloud computing |
| CN115423489A (en) * | 2022-08-31 | 2022-12-02 | 宁波极望信息科技有限公司 | Product traceability system based on SPC |
-
2023
- 2023-04-26 CN CN202310458096.5A patent/CN116187626A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009151668A (en) * | 2007-12-21 | 2009-07-09 | Hitachi Ltd | Agricultural product traceability system, agricultural product traceability method, agricultural product traceability program, and retail dealer terminal |
| CN101885391A (en) * | 2010-06-04 | 2010-11-17 | 北京赛腾工业标识系统有限公司 | Device and method for acquiring product coded identifier information |
| CN106327133A (en) * | 2016-08-31 | 2017-01-11 | 北京龙德时代技术服务有限公司 | Security identity product quality tracing system based on Internet |
| CN112344990A (en) * | 2020-10-21 | 2021-02-09 | 平安国际智慧城市科技股份有限公司 | Environmental anomaly monitoring method, device, equipment and storage medium |
| CN114358472A (en) * | 2021-11-23 | 2022-04-15 | 国网浙江省电力有限公司嘉兴供电公司 | Product full life cycle tracing method based on new energy industry interconnection |
| CN115100440A (en) * | 2022-08-22 | 2022-09-23 | 深圳市今朝时代股份有限公司 | Power supply supervision feedback system based on super capacitor energy storage |
| CN115423489A (en) * | 2022-08-31 | 2022-12-02 | 宁波极望信息科技有限公司 | Product traceability system based on SPC |
| CN115293789A (en) * | 2022-09-30 | 2022-11-04 | 山东商业职业技术学院 | Organic agricultural product security traceability system and method based on cloud computing |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118052473A (en) * | 2024-03-11 | 2024-05-17 | 江苏瑞丰信息技术股份有限公司 | Agricultural product quality safety scoring method for major problems |
| CN118071214A (en) * | 2024-04-22 | 2024-05-24 | 山东临创数谷信息科技有限公司 | Agricultural product planting traceability analysis management system and method based on big data |
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