System, method, medium and equipment for automatically generating livestock breeding batch

Abstract

The invention relates to the technical field of animal husbandry data processing, and particularly provides a livestock breeding batch automatic generation system, method, medium and device, the system can comprise an identity sensing and positioning module used for sending livestock information of livestock to be managed to a decision module, the livestock information comprises livestock identity information, livestock position information, livestock batch date and feeding stage; the decision module is used for searching livestock batch information related to the livestock to be managed from the batch management module; the livestock information and the livestock batch information are analyzed, a target batch number of the livestock to be managed is generated, and the target batch number is the serial number of the livestock file of the feeding stage of the livestock to be managed. According to some embodiments of the invention, the latest livestock archive can be automatically generated, and unified automatic management of livestock batches is realized.

Description

Technical Field

[0001] The present application relates to the technical field of animal husbandry data processing, and in particular to a system, method, medium and equipment for automatically generating batches of farmed livestock. Background Art

[0002] With the advancement of social science and technology and the improvement of living standards, animal husbandry has also rapidly evolved towards intensive and large-scale production methods. Traditional farm management software relies on manual input to form batch numbers in the software to achieve the purpose of livestock batch management. However, due to the large scale of farms, manual input alone is prone to batch errors and production management chaos, and the labor cost is high.

[0003] Therefore, how to provide an efficient technical solution for automatic batch generation of farmed livestock has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] The purpose of some embodiments of the present application is to provide a system, method, medium and equipment for automatically generating batches of farmed livestock. Through the technical solutions of the embodiments of the present application, accurate and up-to-date livestock files can be automatically generated, thereby achieving the purpose of livestock batch management in the farm and reducing labor costs.

[0005] In a first aspect, some embodiments of the present application provide a system for automatically generating batches of farmed livestock, comprising: an identity detection and positioning module, used to send livestock information of livestock to be managed to a decision-making module, wherein the livestock information includes: livestock identity information, livestock location information, livestock batch date and livestock breeding stage; the decision-making module is used to search for livestock batch information related to the livestock to be managed from the batch management module; the livestock information and the livestock batch information are analyzed to generate a target batch number for the livestock to be managed, wherein the target batch number is the number of the livestock file of the breeding stage in which the livestock to be managed is.

[0006] In some embodiments of the present application, the acquired livestock information can be sent to the decision-making module through the identity detection and positioning module, and the decision-making module can find the corresponding livestock batch information from the batch management module, and analyze the two to generate the target batch number of the livestock to be managed. In some embodiments of the present application, accurate and latest target batch numbers can be automatically generated to achieve the purpose of livestock batch management in the farm, realize the unification of online and offline data, and reduce labor costs.

[0007] In some embodiments, the identity detection and positioning module includes: an identity sensor and an identity receiver; the identity sensor is worn on the livestock to be managed; the identity sensor is used to collect the livestock information of the livestock to be managed; and the identity receiver is used to receive the livestock information.

[0008] In some embodiments of the present application, the identity sensor installed on the livestock to be managed in the identity detection and positioning module can collect livestock information, and the identity receiver can receive the livestock information, thereby automatically obtaining relevant information of the livestock and completing automatic data collection and transmission.

[0009] In some embodiments, the identity receiver is used to: send the livestock information to the cloud server via the wireless Internet of Things module; the cloud server is used to send the livestock information to the decision module via the wireless Internet of Things module.

[0010] Some embodiments of the present application can achieve fast and accurate data transmission through a wireless IoT module.

[0011] In some embodiments, the batch management module is used to store the livestock batch information; the livestock batch information includes: identity information of all raised livestock, batch date queue, number of batches, location of batches and feeding stage queue.

[0012] Some embodiments of the present application store livestock batch information through a batch management module to achieve effective data management.

[0013] In some embodiments, the decision module is used to determine the target batch number and the position of the feeding stage of the livestock to be managed by determining the position of the livestock batch date in the batch date queue and determining the position of the livestock feeding stage in the feeding stage queue.

[0014] Some embodiments of the present application can generate a target batch number and determine the position of the livestock feeding stage through the livestock batch date and the position of the livestock feeding stage in the relevant queue, thereby realizing intelligent batch management of livestock, which is both efficient and accurate.

[0015] In some embodiments, the decision module is used to: filter out the date closest to the livestock batch date from the batch date queue of all livestock, generate the target batch number; and confirm the sequence between the feeding stage corresponding to the closest date and the feeding stage of the livestock to be managed.

[0016] Some embodiments of the present application generate a target batch number by confirming the position of the livestock batch date in the batch date queue and determining the sequence of the feeding stages, thereby achieving the purpose of batch management with high accuracy.

[0017] In some embodiments, the decision module is used to: update the target batch number that has been numbered to the batch date queue according to batch numbering rules; and update the livestock file corresponding to the target batch number to the feeding stage queue of the feeding stage of the livestock to be managed.

[0018] Some embodiments of the present application add the target batch number to the corresponding queue through numbering rules, and update the livestock file to the feeding stage queue, so as to achieve sequential management of batches and feeding stages.

[0019] In a second aspect, some embodiments of the present application provide a method for automatically generating batches of farmed livestock, comprising: an identity detection and positioning module sends livestock information of livestock to be managed to a decision-making module, wherein the livestock information includes: livestock identity information, livestock location information, livestock batch date and livestock breeding stage; the decision-making module searches for livestock batch information related to the livestock to be managed from the batch management module; the livestock information and the livestock batch information are analyzed to generate a target batch number for the livestock to be managed, wherein the target batch number is the number of the livestock file of the breeding stage in which the livestock to be managed is.

[0020] In a third aspect, some embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can implement the method described in the embodiments of the second aspect.

[0021] In a fourth aspect, some embodiments of the present application provide an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor can implement the method described in the embodiment of the second aspect when executing the program.

[0022] In a fifth aspect, some embodiments of the present application provide a computer program product, wherein the computer program product comprises a computer program, wherein the computer program, when executed by a processor, can implement the method described in the embodiment of the second aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of some embodiments of the present application, the drawings required for use in some embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 A schematic diagram of livestock breeding stages provided for some embodiments of the present application; Figure 2One of the system diagrams for automatic generation of livestock batches provided for some embodiments of the present application; Figure 3 A second diagram of a system for automatically generating livestock batches provided in some embodiments of the present application; Figure 4 A flow chart of a method for automatically generating batches of farmed livestock provided in some embodiments of the present application; Figure 5 A schematic diagram of an electronic device is provided for some embodiments of the present application. DETAILED DESCRIPTION

[0025] The technical solutions in some embodiments of the present application will be described below in conjunction with the drawings in some embodiments of the present application.

[0026] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0027] In the relevant technology, batch breeding in the livestock breeding industry is an effective means to stabilize production rhythm, reduce labor intensity, improve work efficiency, and prevent and control diseases. Farm management software usually relies on manual input to form batch numbers in the software to achieve the purpose of batch management. However, this method cannot accurately achieve the unification of online and offline data, which is easy to cause batch errors and production management confusion.

[0028] In view of this, some embodiments of the present application provide a system for automatically generating batches of farmed livestock based on individual animal identity detection, positioning and batch file information throughout the entire breeding process, and the system includes at least an identity detection and positioning module and a decision-making module. Among them, the identity detection and positioning module can send the acquired livestock information of the livestock to be managed to the decision-making module; the decision-making module can search for relevant livestock batch information from the batch management module, and generate the latest target batch number for the livestock to be managed by analyzing the livestock batch information and livestock information. The target batch number can be used as the number of the livestock file for the batch. Some embodiments of the present application can realize the intelligent, precise and orderly management of livestock batches, greatly reducing labor costs.

[0029] In order to facilitate the understanding of the specific situation of livestock batches and feeding stages in the breeding industry, the following is combined with the attached Figure 1 The various stages involved in the livestock farming process are illustrated. Figure 1As shown, the livestock breeding process includes: lactation stage, nursery stage, growing stage, reserve stage, mating stage and pregnancy stage. In some embodiments, the growing stage can be merged into the nursery stage. The reserve stage contains high-quality livestock seeds selected from the growing livestock in the growing stage for subsequent breeding. Figure 1 The multiple stages shown can also be understood as multiple feeding stages in the breeding process. The order of different feeding stages of livestock can be expressed as S1, S2, S3, ... SX, where SX represents different feeding stages of the batch. There may be multiple batches of livestock in one feeding stage. Among them, after giving birth to pups, the pregnant female livestock can enter the mating stage again to mate with the male livestock of the same batch to become pregnant again. The number of pregnancies of a female livestock can be determined according to actual conditions, and this application does not make specific restrictions here.

[0030] In addition, a livestock batch refers to a batch of multiple livestock pups produced by at least one livestock within a preset time period, which corresponds to a batch number. The pups produced during the gestation period are batch-numbered in chronological order. For example, N represents the batch number of the identity I of the livestock to be managed, and DN represents the batch date (that is, the batch number) of the batch to which identity I belongs. The order of the batch date can be expressed as: D1, D2, D3, D4, D5, ... DN.

[0031] The following is combined with Figure 2 The overall composition structure of the system for automatically generating livestock batches provided by some embodiments of the present application is exemplified.

[0032] like Figure 2 As shown, some embodiments of the present application provide a system for automatically generating batches of livestock, which may include: an identity detection and positioning module 110, a decision module 120 (or a rhythm algorithm module), a batch management module 130, a wireless IoT module 140, and a cloud server 150. The identity detection and positioning module 110 includes an identity sensor 111 and an identity receiver 112.

[0033] Understandably, Figure 2 The modules in the system for automatic generation of livestock batches shown can be adaptively adjusted according to actual application scenarios, and the embodiments of the present application are not limited to this.

[0034] In some embodiments of the present application, the identity detection and positioning module 110 is used to send livestock information of the livestock to be managed to the decision-making module.

[0035] For example, in some embodiments of the present application, the identity detection and positioning module 110 can send animal information (as a specific example of livestock information) of an animal (as a specific example of livestock to be managed) to the rhythm algorithm module in a timely manner.

[0036] In some embodiments of the present application, the identity sensor 111 is worn on the livestock to be managed; the identity sensor 111 is used to collect livestock information of the livestock to be managed; and the identity receiver 112 is used to receive the livestock information. The livestock information includes livestock identity information, livestock location information, livestock batch date, and livestock breeding stage.

[0037] For example, in some embodiments of the present application, the identity sensor 111 can be worn on the ear of an animal (or other parts of the animal, such as the leg), and can use radio frequency identification (RFID) technology to collect the animal's identity ID (as a specific example of livestock identity information) and animal location information, animal batch date D, and animal breeding stage S. When an animal wearing the identity sensor 111 enters the receiver field, part or all of the above information is sent to the identity receiver 112 in real time.

[0038] In some embodiments of the present application, the identity receiver 112 is used to send the livestock information to the cloud server via a wireless IoT module.

[0039] For example, in some embodiments of the present application, the identity receiver 112 first transmits the animal information to the wireless IoT module 140 , and the wireless IoT module 140 transmits the animal information to the cloud server 150 .

[0040] In some embodiments of the present application, the cloud server 150 is used to: send the livestock information to the decision module via the wireless IoT module.

[0041] For example, in some embodiments of the present application, after receiving the animal information, the cloud server 150 sends the animal information to the rhythm algorithm module through the wireless IoT module 140. In addition, the cloud server 150 is composed of two parts: a database and management software. Both the database and the management software are deployed in the cloud to achieve remote access and sharing of data, and facilitate multi-location and multi-user collaboration. Among them, the database can classify and store uplink and downlink data of the above-mentioned modules; the micro-intelligent decision-making body algorithm (that is, the rhythm algorithm module) runs. The management software is used for human-computer interaction, data query, etc.

[0042] In some embodiments of the present application, the batch management module 130 is used to: store the livestock batch information; the livestock batch information includes: identity information of all raised livestock, batch date queue, number of batches, location of batches and feeding stage queue.

[0043] For example, in some embodiments of the present application, the batch management module 130 can record and store batch information such as the identity information, date, quantity, location, and feeding stage of the animals being raised. For example, N represents the batch generation number searched based on identity I (as a specific example of identity information), DN represents the batch date of the batch to which identity I belongs, and the order of the batch date can be expressed as: D1, D2, D3, D4, D5, ... DN (as a specific example of a batch date queue). X represents the generation number of different feeding stages of the batch, and SX represents the different feeding stages of the batch. The order of different feeding stages of animals can be expressed as: S1, S2, S3, ... SX (as a specific example of a feeding stage queue).

[0044] In some embodiments of the present application, the decision module 120 is used to: search for livestock batch information related to the livestock to be managed from the batch management module; analyze the livestock information and the livestock batch information to generate a target batch number for the livestock to be managed, and the target batch number is the number of the livestock file of the breeding stage of the livestock to be managed.

[0045] For example, in some embodiments of the present application, the rhythm algorithm module is essentially a miniature intelligent decision-making body. After receiving the identity, batch time D and feeding stage S information sent by the identity detection and positioning module, the intelligent decision-making body automatically searches for all batches, locations and batch times involved in the animal in the batch management module 130 (as a specific example of livestock batch information), and then generates a new batch number (as a specific example of the target batch number) by analyzing the animal. Among them, each new batch number corresponds to a new batch file for the batch of livestock to be managed, and the new batch file may contain basic information such as the identity information and location information of the batch of livestock to be managed. The new batch file can be stored under the feeding stage S in which it is located.

[0046] In some embodiments of the present application, the decision module 120 is used to determine the target batch number and the feeding stage of the livestock to be managed by judging the position of the livestock batch date in the batch date queue and judging the position of the livestock feeding stage in the feeding stage queue.

[0047] For example, in some embodiments of the present application, after the rhythm algorithm module determines the position of D in the batch date queue and the position of the feeding stage S in the feeding stage queue, a new batch number can be generated and a new batch file corresponding to the new batch number can be generated.

[0048] In some embodiments of the present application, the decision module 120 is used to: filter out the date closest to the livestock batch date from the batch date queue of all livestock, generate the target batch number; and confirm the sequence between the feeding stage corresponding to the closest date and the feeding stage of the livestock to be managed.

[0049] For example, in some embodiments of the present application, the rhythm algorithm module selects the DN closest to D, and generates a new batch number for D according to the time sequence of D and DN. And by judging the order of the feeding stages satisfied by the feeding stage SX to which DN belongs and the feeding stage S to which D belongs, and then adding the new batch file corresponding to the new batch number to the corresponding feeding stage queue according to the order, the rhythm algorithm module can generate a new batch number and store the newly generated new batch file in the batch management module.

[0050] In some embodiments of the present application, the decision module 120 is used to: update the target batch number that has been numbered to the batch date queue according to the batch numbering rules; and update the livestock file corresponding to the target batch number to the feeding stage queue of the feeding stage of the livestock to be managed.

[0051] For example, in some embodiments of the present application, the batches may be numbered in numerical order (as a specific example of a numbering rule) according to the order of batch date and feeding stage. For example, the new batch number of D is located at: D1, D2, D3, D4, D5, ... DN, D; the new batch number of S is located at S1, S2, S3, ... SX, S.

[0052] Through the above embodiments, it can be seen that the intelligent decision-making body automatically queries the location of the previous batch to which the animal belongs and the identity and location of the animals in the same batch. The intelligent decision-making body can automatically identify the new batch according to the batch rhythm algorithm, and form a new batch number and the latest batch file (that is, the latest livestock file), with a high degree of intelligence and accuracy.

[0053] Please see attached Figure 3 Some embodiments of the present application provide another system for automatically generating batches of farmed livestock. The identity receiver 112 in the system can be set in a single device or a group device. Among them, a single device can realize the intelligent generation of a file for one animal, and a group device can realize the intelligent generation of files for multiple animals. It can be understood that the implementation process of adding each animal to the file to obtain the latest livestock file and Figure 2 The system embodiments shown are the same, and the embodiments of the present application will not be described in detail here.

[0054] The following is combined with Figure 4 The specific process of automatically generating livestock batches provided by some embodiments of the present application is exemplified.

[0055] Please see attached Figure 4 , Figure 4 A method for automatically generating batches of farmed livestock is provided for some embodiments of the present application, and the method for automatically generating batches of farmed livestock includes: S310, an identity detection and positioning module sends livestock information of livestock to be managed to a decision-making module, wherein the livestock information includes: livestock identity information, livestock location information, livestock batch date and livestock breeding stage; S320, the decision-making module searches for livestock batch information related to the livestock to be managed from the batch management module; analyzes the livestock information and the livestock batch information, and generates a target batch number for the livestock to be managed, wherein the target batch number is the number of the livestock file of the breeding stage of the livestock to be managed.

[0056] The above process is explained below as an example.

[0057] In some embodiments of the present application, the identity detection and positioning module includes: an identity sensor and an identity receiver; the identity sensor is worn on the livestock to be managed; S310 may include: the identity sensor collects the livestock information of the livestock to be managed; the identity receiver receives the livestock information.

[0058] In some embodiments of the present application, S310 may include: the identity receiver sends the livestock information to the cloud server through the wireless Internet of Things module; and the cloud server sends the livestock information to the decision module through the wireless Internet of Things module.

[0059] In some embodiments of the present application, a method for automatically generating batches of farmed livestock may include: a batch management module stores the livestock batch information; the livestock batch information includes: identity information of all farmed livestock, batch date queue, number of batches, location of batches and feeding stage queue.

[0060] In some embodiments of the present application, S320 may include: determining the target batch number and the feeding stage of the livestock to be managed by judging the position of the livestock batch date in the batch date queue and judging the position of the livestock feeding stage in the feeding stage queue.

[0061] In some embodiments of the present application, S320 may include: filtering out the date closest to the livestock batch date from the batch date queue of all livestock, generating the target batch number; and confirming the sequence between the feeding stage corresponding to the closest date and the feeding stage of the livestock to be managed.

[0062] In some embodiments of the present application, S320 may include: updating the target batch number that has been numbered to the batch date queue according to the batch numbering rules; updating the livestock file corresponding to the target batch number to the feeding stage queue of the feeding stage of the livestock to be managed.

[0063] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the device described above can refer to the corresponding process of each module in the aforementioned system, and will not be described in detail here.

[0064] Some embodiments of the present application further provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can implement the operations of the method corresponding to any of the above methods provided in the above embodiments.

[0065] Some embodiments of the present application further provide a computer program product, which includes a computer program, wherein when the computer program is executed by a processor, it can implement the operations corresponding to any of the above methods provided in the above embodiments.

[0066] like Figure 5 As shown, some embodiments of the present application provide an electronic device 400, which includes: a memory 410, a processor 420, and a computer program stored in the memory 410 and executable on the processor 420, wherein the processor 420 can implement a method as described in any of the above embodiments when reading the program from the memory 410 through a bus 430 and executing the program.

[0067] Processor 420 can process digital signals and can include various computing structures, such as complex instruction set computer structure, reduced instruction set computer structure, or a structure that implements a combination of multiple instruction sets. In some examples, processor 420 can be a microprocessor.

[0068] The memory 410 may be used to store instructions executed by the processor 420 or data related to the execution of instructions. These instructions and / or data may include codes for implementing some or all functions of one or more modules described in the embodiments of the present application. The processor 420 of the disclosed embodiment may be used to execute instructions in the memory 410 to implement the method shown above. The memory 410 includes a dynamic random access memory, a static random access memory, a flash memory, an optical memory, or other memory known to those skilled in the art.

[0069] The above description is only an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings.

[0070] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0071] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

Claims

1. A system for automatically generating batches of farmed livestock, characterized in that: include: An identity detection and positioning module, used for sending livestock information of the livestock to be managed to the decision-making module, wherein the livestock information includes: livestock identity information, livestock location information, livestock batch date and livestock feeding stage; The decision module is used to search the batch management module for livestock batch information related to the livestock to be managed; analyze the livestock information and the livestock batch information to generate a target batch number for the livestock to be managed, wherein the target batch number is the number of the livestock file of the breeding stage of the livestock to be managed.

2. The system according to claim 1, characterized in that The identity detection and positioning module includes: an identity sensor and an identity receiver; the identity sensor is worn on the livestock to be managed; The identity sensor is used to collect the livestock information of the livestock to be managed; The identity receiver is used to receive the livestock information.

3. The system according to claim 2, characterized in that The identity receiver is used to: Sending the livestock information to a cloud server via a wireless IoT module; The cloud server is used to send the livestock information to the decision-making module through the wireless Internet of Things module.

4. The system according to any one of claims 1 to 3, characterized in that: The batch management module is used to store the livestock batch information; the livestock batch information includes: identity information of all raised livestock, batch date queue, number of batches, location of batches and feeding stage queue.

5. The system according to claim 4, characterized in that The decision module is used to: The target batch number and the position of the feeding stage of the livestock to be managed are determined by determining the position of the livestock batch date in the batch date queue and determining the position of the livestock feeding stage in the feeding stage queue.

6. The system according to claim 5, characterized in that The decision module is used to: The date closest to the livestock batch date is screened out from the batch date queue of all the livestock to generate the target batch number; and the sequence between the feeding stage corresponding to the closest date and the feeding stage of the livestock to be managed is confirmed.

7. The system according to claim 6, characterized in that The decision module is used to: According to the batch numbering rules, the target batch number after numbering is updated to the batch date queue; The livestock file corresponding to the target batch number is updated to the feeding stage queue of the feeding stage of the livestock to be managed.

8. A method for automatically generating batches of farmed livestock, characterized in that: include: The identity detection and positioning module sends livestock information of the livestock to be managed to the decision module, wherein the livestock information includes: livestock identity information, livestock location information, livestock batch date and livestock feeding stage; The decision module searches for livestock batch information related to the livestock to be managed from the batch management module; analyzes the livestock information and the livestock batch information to generate a target batch number for the livestock to be managed, wherein the target batch number is the number of the livestock file of the breeding stage of the livestock to be managed.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program is executed by a processor to perform the method according to claim 8.

10. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the computer program performs the method according to claim 8 when being run by the processor.

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