CN114897539A - Animal product tracing system based on big data - Google Patents
Animal product tracing system based on big data Download PDFInfo
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Abstract
The invention discloses a big data-based livestock product tracing system which comprises a breeding data acquisition module, a slaughter information acquisition module, a transportation information acquisition module, a shop sales information acquisition module, a cloud computing storage module and an inquiry module, wherein the breeding data acquisition module is used for acquiring breeding environment data of livestock products, associating the breeding environment data with an electronic identity card of the livestock products to generate monitoring data, the slaughter information acquisition module is used for acquiring slaughter information, the transportation information acquisition module is used for acquiring transportation information, the shop sales information acquisition module is used for acquiring shop sales information, the cloud computing storage module is used for storing the data acquired by the cloud computing storage module, and the inquiry module is used for inquiring the breeding environment data of the livestock products. According to the method, the breeding environment data of the animal products are acquired, and then the breeding environment data are associated with the electronic identity cards of the animal products and transmitted to the cloud computing storage module for storage.
Description
Technical Field
The invention relates to the field of product tracing, in particular to a livestock product tracing system based on big data.
Background
Animal products are an important component of agricultural products, and refer to animal products and their direct processed products, and the main animal products are meat, such as pork, beef, mutton, rabbit meat, etc.
Along with the improvement of living standard, people pay more and more attention to the quality of livestock products. In the prior art, the animal product is generally traced by acquiring corresponding tracing data in the links of breeding, slaughtering, transportation, sale and the like of the animal product, so that the quality of the animal product is ensured. The existing tracing system generally needs to acquire epidemic prevention information and feeding information in a breeding link, wherein the epidemic prevention information comprises vaccination records and the like. And the feeding information comprises feed feeding records and the like. However, the existing breeding information lacks records of breeding environment data, and the breeding environment data of animal products cannot be acquired in the tracing process, so that reference information in the breeding environment cannot be provided when the quality problem of the animal products is analyzed.
Disclosure of Invention
The invention aims to disclose a livestock product tracing system based on big data, and the system is used for solving the problem that in the prior art, the existing breeding information is lack of records of breeding environment data, and the breeding environment data of livestock products cannot be acquired in the tracing process, so that reference information in the breeding environment cannot be provided when the quality problem of the livestock products is analyzed.
In order to achieve the purpose, the invention adopts the following technical scheme:
a big data-based animal product tracing system comprises a breeding data acquisition module, a cloud computing storage module and an inquiry module;
the breeding data acquisition module is used for acquiring breeding environment data of animal products, generating monitoring data after correlating the breeding environment data with electronic identity cards of the animal products and transmitting the monitoring data to the cloud computing storage module;
the cloud computing storage module is used for storing monitoring data;
the query module is used for acquiring the breeding environment data of the livestock products through the two-dimension codes on the tracing label.
Preferably, the breeding data acquisition module is also used for acquiring a vaccination record, a feed feeding record and a production place quarantine record of the livestock products, and transmitting the vaccination record, the feed feeding record and the production place quarantine record of the livestock products to the cloud computing storage module;
the cloud computing storage module is also used for storing the vaccination records and the feed feeding records of the livestock products.
Preferably, the livestock product tracing system based on big data further comprises a slaughter information acquisition module;
the slaughtering data acquisition module is used for acquiring slaughtering information of livestock products;
the cloud computing storage module is also used for storing slaughter information of livestock products.
Preferably, the livestock product tracing system based on big data further comprises a transportation information acquisition module;
the transportation data acquisition module is used for acquiring transportation information of livestock products;
the cloud computing storage module is also used for storing transportation information of livestock products.
Preferably, the livestock product tracing system based on big data further comprises a shop sales information acquisition module;
the store sales information acquisition module is used for acquiring sales information of animal products;
the cloud computing storage module is also used for storing the sales information of the livestock products.
Preferably, the livestock product tracing system based on big data further comprises a pedigree information acquisition module;
the system information acquisition module is used for acquiring system information of animal products;
the cloud computing storage module is also used for storing pedigree information of livestock products.
Preferably, the livestock product tracing system based on big data further comprises an electronic evidence management module;
the electronic evidence management module is used for acquiring the landing record of the livestock products.
Preferably, the livestock product tracing system based on big data further comprises a statistic module;
the statistical module is used for carrying out big data statistics on the stock quantity, the slaughter quantity and the market flow direction of the livestock products to obtain a statistical result.
Preferably, the breeding data acquisition module comprises a data collection unit, a data association unit and a transmission unit;
the data acquisition unit is used for acquiring breeding environment data of livestock products and transmitting the breeding environment data to the data correlation unit;
the data association unit is used for associating the breeding environment data with the electronic identity card of the livestock product and then generating monitoring data;
the transmission unit is used for transmitting the monitoring data to the cloud computing storage module.
Preferably, the query module comprises a scanning unit, a communication unit and a display unit;
the scanning unit is used for acquiring the electronic identity card corresponding to the two-dimensional code on the tracing label;
the communication unit is used for transmitting the electronic identity card to the cloud computing storage module;
the display unit is used for displaying the cultivation environment data sent by the cloud computing storage module.
According to the method, the breeding environment data of the animal products are acquired, and then the breeding environment data are associated with the electronic identity cards of the animal products and transmitted to the cloud computing storage module for storage.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a diagram of an exemplary embodiment of a big data based animal product traceability system of the present invention.
Fig. 2 is a diagram of an exemplary embodiment of a culture data acquisition module according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In an embodiment shown in fig. 1, the invention provides a livestock product tracing system based on big data, which comprises a breeding data acquisition module, a cloud computing storage module and an inquiry module;
the breeding data acquisition module is used for acquiring breeding environment data of animal products, generating monitoring data after correlating the breeding environment data with electronic identity cards of the animal products and transmitting the monitoring data to the cloud computing storage module;
the cloud computing storage module is used for storing monitoring data;
the query module is used for acquiring the breeding environment data of the livestock products through the two-dimension codes on the tracing label.
According to the method, the breeding environment data of the animal products are acquired, and then the breeding environment data are associated with the electronic identity cards of the animal products and transmitted to the cloud computing storage module for storage.
Preferably, the cultivation environment data includes temperature, humidity, carbon dioxide concentration, oxygen concentration, illumination intensity, and the like.
Preferably, the breeding data acquisition module is also used for acquiring a vaccination record, a feed feeding record and a production place quarantine record of the livestock products, and transmitting the vaccination record, the feed feeding record and the production place quarantine record of the livestock products to the cloud computing storage module;
the cloud computing storage module is also used for storing the vaccination records and the feed feeding records of the livestock products.
Specifically, the vaccination record comprises an electronic identification card of the livestock product, a vaccine name, a vaccination time and the like. The feed feeding record comprises an electronic identity card of the livestock product, the type of the feed, the feeding amount, the feeding time and the like. The quarantine records of the producing area comprise electronic identity cards of animal products, quarantine time, name of quarantine personnel, quarantine conclusion and the like.
Preferably, the livestock product tracing system based on big data further comprises a slaughter information acquisition module;
the slaughtering data acquisition module is used for acquiring slaughtering information of livestock products;
the cloud computing storage module is also used for storing slaughter information of livestock products.
Specifically, the slaughter information includes an electronic identification card of the livestock product, the approach time, the slaughter house name, the slaughter quarantine record, the delivery time and the like.
The records of slaughter quarantine include the certification of carcass quarantine, animal quarantine certification and the like.
Preferably, the livestock product tracing system based on big data further comprises a transportation information acquisition module;
the transportation data acquisition module is used for acquiring transportation information of livestock products;
the cloud computing storage module is also used for storing transportation information of livestock products.
Specifically, the transportation information includes a shipper, a carrier, a carrying method, a license plate number, a destination, and the like.
Preferably, the livestock product tracing system based on big data further comprises a shop sales information acquisition module;
the shop sales information acquisition module is used for acquiring sales information of livestock products;
the cloud computing storage module is also used for storing the sales information of the livestock products.
The sales information comprises a source two-dimensional code and store arrival information.
The store-to information includes store-to time, sales time, store-to weight, and the like. The traceability two-dimensional code is a two-dimensional code pasted on a traceability label pasted on each product after a store worker scans a code for livestock products arriving at a store, enters the store, is cut into products for sale, and is pasted on the traceability label pasted on each product. The code scanning is mainly used for scanning the snap ring in a shop.
Preferably, the livestock product tracing system based on big data further comprises a pedigree information acquisition module;
the system information acquisition module is used for acquiring system information of animal products;
the cloud computing storage module is also used for storing pedigree information of livestock products.
The pedigree information comprises information of ear numbers, chip numbers, varieties and the like of parents and grandparents.
Preferably, the livestock product tracing system based on big data further comprises an electronic evidence-showing management module;
the electronic evidence management module is used for acquiring the landing record of the livestock products.
Specifically, the electronic certification management module is also used for issuing animal quarantine certification (animal B certificate) after the livestock products are slaughtered.
Animal quarantine certification includes quarantine number, shipper identity card, shipper contact phone, animal species, quantity, use, departure location, arrival location, carrier contact phone, carrier brand, carrier disinfection, animal product ear number, issue date, etc.
The landing record comprises a feeding landing record and a slaughtering landing record transaction landing record;
landing records are mainly filled out by the responsibility of the official veterinarian. The feeding landing records specifically include arrival time at a feeding place, arrival number, isolation reason, isolation start time, and isolation end time.
Slaughter floor records mainly include date to slaughter point, number of arrivals, photographs of animal products, and the like.
The transaction floor records mainly include dates of arrival at transaction points, arrival amounts, remark information, and the like.
Preferably, the livestock product tracing system based on big data further comprises a statistic module;
the statistical module is used for carrying out big data statistics on the stock quantity, the slaughter quantity and the market flow direction of the livestock products to obtain a statistical result.
Specifically, the amount of stock can be obtained by acquiring the number of animal products in the quarantine records of the production area, the slaughter amount can be obtained by acquiring slaughter information of a slaughterhouse, and the market flow can be obtained according to the destination in the transportation information.
And for the statistical result, the statistical result can be put into a comprehensive display large screen for displaying, so that the comprehensive condition of the livestock products in the management area can be conveniently known.
Preferably, as shown in fig. 2, the cultivation data acquisition module includes a data collection unit, a data association unit and a transmission unit;
the data acquisition unit is used for acquiring breeding environment data of livestock products and transmitting the breeding environment data to the data correlation unit;
the data association unit is used for associating the breeding environment data with the electronic identity card of the livestock product and then generating monitoring data;
the transmission unit is used for transmitting the monitoring data to the cloud computing storage module.
Preferably, the data acquisition unit comprises a wireless node and a communication base station;
the wireless node is used for acquiring the culture environment data of the position where the wireless node is located and transmitting the culture environment data to the communication base station;
the communication base station is used for sending the cultivation environment data transmitted by the wireless nodes to the data association unit.
Preferably, the communication base station is further configured to divide the wireless node into a data acquisition node and a data relay node;
the data acquisition node is used for acquiring the cultivation environment data D1 of the position where the data acquisition node is located and transmitting the data D1 to the data transfer node;
the data transit node is used for acquiring the cultivation environment data D2 of the position where the data transit node is located, and is used for transmitting the cultivation environment data D2 and the cultivation environment data D1 sent by the data acquisition node to the communication base station.
Preferably, the transmitting D1 to the data transfer node includes:
the data transit nodes that are within communication range of the data acquisition node are stored in the collection wtU,
calculating a communication efficiency value between the data acquisition node and each data transit node in wtU:
in the formula, cumtrs (j, k) represents a communication efficiency value between data relay nodes k in data acquisition nodes j and wtU, α represents a scale parameter, α belongs to (0,1), length (j, k) represents a time required for the data acquisition node j to transmit data of a unit length to the data relay node k in wtU, stlnth represents a set time standard value for transmitting data of a unit length, crths (j, k, t) represents a communication collision coefficient at time t between the data relay nodes k in the data acquisition nodes j and wtU, and stcrths represents a set communication collision coefficient standard value;
the data acquisition node j transmits D1 to the data transit node that maximizes the communication efficiency value.
In the above embodiment, the data acquisition node not only selects the transmission target of D1 according to the distance from the data relay node, but also adds the communication efficiency value, and such an arrangement can effectively reduce the probability of communication collision when transmitting D1 to the data relay node, thereby improving the timeliness of transmission of D1.
Preferably, the communication collision coefficient is calculated as follows:
wherein crths (j, k, t +1) represents the time between the data transfer nodes k in the data acquisition nodes j and wtU
t +1, wherein cm (t) represents a collision judgment function, if a data acquisition node j detects that other data acquisition nodes or intermediate transfer nodes send data to a transfer node k in the communication range of the data acquisition node j at the time t, the value of cm (t) is 1, otherwise, the value of cm (t) is not equal to 1, the minimum value of the communication collision coefficient is 1, and if crths (j, k, t) -1 is smaller than 1, the value of crths (j, k, t +1) is 1.
When the communication conflict coefficient is maintained, the self-adaptive changing recording mode is adopted, the data acquisition node at each moment can judge whether other data acquisition nodes or intermediate transfer nodes send data to the transfer node k in the communication range of the data acquisition node, and the more times of continuous detection, the larger the communication conflict coefficient is, the larger the probability of communication conflict is, so that the setting mode of the invention can effectively reduce the probability of communication conflict of the data acquisition nodes.
Preferably, the dividing the wireless node into a data acquisition node and a data relay node includes:
dividing a farm into N areas with the same area;
and respectively acquiring the data acquisition node and the data transfer node in each area by using a preset classification mode.
Preferably, the obtaining the data obtaining node and the data transfer node in each region respectively by using a preset classification manner includes:
for the area, acquiring a central mid of the area;
for the ith wireless node pix in area i If pix i If the distance between the Pix and mid is larger than the set distance threshold value, pix is added i Deposit set sU 1 ；
If pix i If the distance between the Pix and mid is less than the set distance threshold value, pix is added i Deposit set sU 2 ；
Obtaining sU by the following method 2 The data transit node in (1):
respectively calculate sU 2 A communication coefficient of each wireless node;
the wireless node with the highest communication coefficient is taken as the sU 2 In (1) data transfer node ctp, sU 2 The rest of the wireless nodes are used as data acquisition nodes;
the communication coefficient is calculated by the following formula:
in the formula, idx [ pix (sU) ] 2 )]Represents sU 2 Wireless node pix (sU) in (b) 2 ) Communication coefficient of (d), w 1 、w 2 、w 3 、w 4 Representing the set weight coefficient; distcl represents a set distance reference value, and dtmid represents pix (sU) 2 ) And mid, dtbs denotes pix (sU) 2 ) And the distance between the communication base stations, powlf denotes pix (sU) 2 ) Powful represents pix (sU) 2 ) Numofnei indicates a voltage at pix (sU) 2 ) OfThe number of wireless nodes in the path, numcl represents a set number reference value;
for sU 1 Wireless node pix (sU) in (b) 1 ) Judging whether the node belongs to a data acquisition node or a data transfer node in the following mode:
will be at pix (sU) 1 ) And data transit nodes that are within the communication radius of (c) and cannot directly communicate with ctp are stored in the set csU 1 Will be at pix (sU) 1 ) Is stored in the set csU 2
Judgment csU 1 Whether the number of elements contained in (1) is greater than or equal to 2, and if not, pix (sU) 1 ) Belonging to a data acquisition node;
if yes, pix (sU) is calculated 1 ) And csU 1 Average coordinates (x) of elements contained in (a) aveld ,y aveld ) The distance dst therebetween, and csU 2 Each element in (a) and (x) aveld ,y aveld ) The distance between are stored in the set csU 3 ；
Determine whether dst is greater than set csU 3 If so, pix (sU) 1 ) Is a data transfer node, if not, pix (sU) 1 ) Is a data acquisition node.
When the wireless nodes are divided, the data acquisition nodes and the data transfer nodes in each area are sequentially acquired from left to right and from top to bottom, so that the probability that the data transfer nodes are disconnected, namely, single-hop communication cannot be performed is reduced, and the probability that the cultivation environment data can be timely and successfully transmitted to the communication base station is effectively improved. In addition, the data transfer nodes in each region are respectively obtained in a regional mode, so that the distribution of the data transfer nodes is more uniform, the probability that the power consumption is finished in advance due to overlarge data transfer pressure of the data transfer nodes is reduced, and the pressure of operation and maintenance is favorably reduced.
For a single area, the invention does not directly take all wireless nodes with the largest communication coefficient in the area as data transfer nodes, but takes the wireless nodes with the largest communication coefficient in the area as data transfer nodes according to the distance between the wireless nodes and midThe wireless nodes are stored in the 2 sets, and then the data transfer nodes and the data acquisition nodes in each set are respectively acquired. The arrangement mode can effectively reduce the probability that the data transfer nodes are disconnected, namely, the single-hop communication cannot be carried out. Set sU 1 The elements in (1) are all nodes at the edge of the area, single-hop communication may be possible between such nodes and data transfer nodes in adjacent areas, and if such nodes are just closer to the average coordinate, the nodes are very suitable to be used as new data transfer nodes, thereby effectively avoiding the situation that single-hop communication cannot be performed between the data transfer nodes in two adjacent areas.
In calculating the communication coefficient, the closer the distance to mid, the closer the distance to the communication base station, the more the remaining power, the more the number of wireless nodes included in the communication range, the larger the communication coefficient, so that the communication coefficient can comprehensively represent the capability of the wireless node to serve as a data relay node.
Preferably, the farming environment data further includes a wireless node number.
Preferably, the generating of the monitoring data after the breeding environment data is associated with the electronic identification card of the livestock product comprises:
acquiring the position S of the wireless node according to the serial number of the wireless node contained in the breeding environment data D;
acquiring a set U of electronic identity cards of all animal products, wherein the distance between the set U and the position S is smaller than a preset distance threshold value T;
data were monitored using U and D compositions.
Specifically, in the conventional breeding method, livestock products are generally bred in a partition breeding method, and therefore, by arranging wireless nodes in a distributed manner in a farm, breeding environment data collected by each wireless node is used to represent breeding environment data in a region BK of a specified size. Therefore, each farm environment data needs to be correlated with the data in U.
Preferably, the query module comprises a scanning unit, a communication unit and a display unit;
the scanning unit is used for acquiring the electronic identity card corresponding to the two-dimensional code on the tracing label;
the communication unit is used for transmitting the electronic identity card to the cloud computing storage module;
the display unit is used for displaying the cultivation environment data sent by the cloud computing storage module.
Preferably, the information acquired by the breeding data acquisition module, the slaughter information acquisition module, the transportation information acquisition module, the shop sales information acquisition module, the pedigree information acquisition module, the electronic certificate management module and other modules is associated with the electronic identity card of the livestock product. After scanning the two-dimensional code on the tracing label, the consumer can check the acquired information of the modules according to the obtained electronic identity card.
While embodiments of the invention have been shown and described, it will be understood by those skilled in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
It should be noted that, functional units/modules in the embodiments of the present invention may be integrated into one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules are integrated into one unit/module. The integrated units/modules may be implemented in the form of hardware, or may be implemented in the form of software functional units/modules.
From the above description of embodiments, it is clear for a person skilled in the art that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For a hardware implementation, a processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the procedures of an embodiment may be performed by a computer program instructing associated hardware.
In practice, the program may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. Computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Claims (10)
1. A big data-based animal product tracing system is characterized by comprising a breeding data acquisition module, a cloud computing storage module and an inquiry module;
the breeding data acquisition module is used for acquiring breeding environment data of animal products, generating monitoring data after correlating the breeding environment data with electronic identity cards of the animal products and transmitting the monitoring data to the cloud computing storage module;
the cloud computing storage module is used for storing monitoring data;
the query module is used for acquiring the breeding environment data of the livestock products through the two-dimension codes on the tracing label.
2. A big data based livestock product tracing system according to claim 1, wherein said breeding data acquisition module is further used for acquiring the vaccination record, feed feeding record and origin quarantine record of livestock products, and for transmitting the vaccination record, feed feeding record and origin quarantine record of livestock products to the cloud computing storage module;
the cloud computing storage module is also used for storing the vaccination records and the feed feeding records of the livestock products.
3. A livestock product tracing system based on big data according to claim 2, characterized by further comprising a slaughter information obtaining module;
the slaughtering data acquisition module is used for acquiring slaughtering information of livestock products;
the cloud computing storage module is also used for storing slaughter information of livestock products.
4. A big data based animal product traceability system, as claimed in claim 3, further comprising a transportation information acquisition module;
the transportation data acquisition module is used for acquiring transportation information of livestock products;
the cloud computing storage module is also used for storing transportation information of livestock products.
5. A big data based animal product traceability system, as claimed in claim 4, further comprising a store sales information acquisition module;
the store sales information acquisition module is used for acquiring sales information of animal products;
the cloud computing storage module is also used for storing sales information of livestock products.
6. A big data based animal product traceability system, as claimed in claim 5, further comprising a pedigree information acquisition module;
the system information acquisition module is used for acquiring system information of animal products;
the cloud computing storage module is also used for storing pedigree information of livestock products.
7. A big data based animal product traceability system, as claimed in claim 6, further comprising an electronic certification management module;
the electronic evidence management module is used for acquiring the landing record of the livestock products.
8. A big data based animal product traceability system, as claimed in claim 7, further comprising a statistics module;
the statistical module is used for carrying out big data statistics on the stock quantity, the slaughter quantity and the market flow direction of the livestock products to obtain a statistical result.
9. A big data based animal product traceability system, as claimed in claim 1, wherein said breeding data acquisition module comprises a data collection unit, a data association unit and a transmission unit;
the data acquisition unit is used for acquiring breeding environment data of livestock products and transmitting the breeding environment data to the data correlation unit;
the data association unit is used for associating the breeding environment data with the electronic identity card of the livestock product and then generating monitoring data;
the transmission unit is used for transmitting the monitoring data to the cloud computing storage module.
10. A big data based animal product traceability system, as claimed in claim 1, wherein said query module comprises a scanning unit, a communication unit and a display unit;
the scanning unit is used for acquiring an electronic identity card corresponding to the two-dimensional code on the tracing label;
the communication unit is used for transmitting the electronic identity card to the cloud computing storage module;
the display unit is used for displaying the cultivation environment data sent by the cloud computing storage module.
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