KR20210114289A - Smart farm pig-raising system and method - Google Patents

Abstract

Disclosed are a smart farm pig raising system and a method. The smart farm pig raising system includes: a user response unit for receiving changes in a pig's livestock house according to user's manipulation from a user terminal; and a data update unit for updating breeding data so that the information on changes in the livestock house is added to the breeding data of a corresponding pig. Therefore, it is possible to continuously manage the breeding data of each individual to reflect real-time information regardless of movement of the barn for each growth cycle during an entire growing period of the pig.

Description

Smart farm pig-raising system and method}

The present invention relates to a smart farm pig farming system and method.

In general, livestock raised in livestock houses frequently increase or decrease the number of individuals due to childbirth, shipment, or death, etc. In the livestock field, since the growth management of livestock is directly related to productivity and income, data management in the breeding process is very important.

In particular, in the case of pigs, since it is essential to move the barn for each growth cycle due to the characteristics of pigs, which are high-ranking animals, even if the barn is moved, the data of the individual unit must be updated and continuously managed.

However, in the conventional pig system, in order to manage the movement of pigs to livestock, it is inconvenient to manually correct existing data for each pig individual and additionally input related data.

Due to this inconvenience, in general, data on pigs is not updated immediately or is not continuously updated when the pigs move to the barn.

Therefore, there was a problem in that the data management according to the movement of the pigs to the livestock was not continuously performed, so that the pig farming operation was carried out focusing on the experience of the pig producer, and the systematic management of the pig farming business with high productivity was impossible.

Korean Patent Publication No. 10-2017-0021936 Korean Patent Registration No. 10-2014353

The present invention provides real-time information to the breeding data of each individual regardless of the movement of the livestock for each breeding cycle during the entire growth period of the pig (that is, the period from when breeding is started at birth until breeding is terminated due to shipment or slaughter, etc.) It is to provide a smart farm pig farming system and method continuously managed to be reflected.

According to the present invention, changes in pig breeding houses can be visualized and managed in a drag and drop method in a graphical user interface (GUI), and correspond to the movement position of the moved object image in the GUI environment. The purpose of this invention is to provide a smart farm pig farming system and method in which individual data can be continuously managed even when pigs move to a barn by being included in the data of the corresponding pig individual and managed.

The present invention interprets the genetic characteristics of sows based on the pedigree relationship between sows and piglets and information on the breeding process of piglets, and derives optimal breeding conditions for piglets based on the genetic characteristics of sows, and to provide a smart farm pig farming system and method that enables a highly productive pig farming business to be conducted.

The present invention is to provide a smart farm pig farming system and method that enables a highly economical pig farming business by ensuring an optimal breeding environment even with limited production costs in consideration of the priority of each influencing factor constituting the optimal breeding conditions. .

The present invention provides status information (eg, breed, weight, age, etc.) of pigs currently placed in each actual compartment area (eg, a pig house, a pig room, a pig box, etc. installed at the actual pig site) and placement criteria for each compartment area In order to provide a smart farm pig farming system and method that determines a target pig to be moved and managed by referring to the , and provides a smart farm piggy system and method to automatically establish a work plan for movement management and provide it to a pig producer so that the pig work can be carried out efficiently.

Objects other than the present invention will be easily understood through the following description.

According to an aspect of the present invention, a user response unit for receiving changes in the pig's livestock according to the user operation from the user terminal; and a data update unit for updating the breeding data so that the information on the changes in the livestock house is added to the breeding data of the corresponding pig, wherein the user terminal includes a virtual virtual farm corresponding to a pig house and a pig room that is an actual division area of an actual pig farm. A management screen of a graphical user interface (GUI) environment in which an object image is displayed in each virtual compartment area is displayed to correspond to the compartment area and the pig placement situation at the actual pig site, and the object image displayed in the virtual compartment area corresponds to the corresponding It is managed to correspond to the identification information of pigs, and the object image corresponding to the pig, which is the target of moving the livestock at the actual pig farm, is moved from one virtual compartment area to another virtual compartment area by drag and drop method. In order to maintain the continuity of information during the entire growing period of the pig, the breeding data is collected so that the breeding data corresponds to the actual partition area moved to correspond to the changes in the breeding house. There is provided a smart farm pig farming system, characterized in that for updating the breeding data so that additional information is further added to the breeding data.

The smart farm pig system may further include an analysis unit that generates a pedigree tree between sows and piglets with reference to the sow identification information included in the breeding data of each pig, and interprets the genetic characteristics of the sows with reference to the breeding data of the piglets. can

Breeding data may include element items for one or more of temperature, humidity, gas concentration, body temperature, weight, exercise amount, feed type, number of feedings, feeding amount, and feeding time by age. In this case, the analysis unit is configured to include breeding data of piglets of a first group that satisfy the preset shipment performance criteria among piglets included in the pedigree pedigree and breeding data of piglets of a second group that do not satisfy the preset shipment grade criteria. Analyzes the genetic characteristics of sows by determining factor items affecting shipment performance as consideration factor items in preparation for It is also possible to create optimal breeding conditions for

In addition, the analysis unit may update the optimal breeding conditions with further reference to breeding data and shipping results of piglets delivered in the future from the sows.

When the operating cost at the actual pig farm is set to be fixed, the analysis unit sets the fixed operating cost in the objective function predefined to have the consideration factor items as parameters and the set value of each consideration factor item that satisfies the pre-specified shipment performance criterion Optimal breeding conditions can be created using a predefined machine learning method to find

The smart farm pig farming system determines the target pig to be moved to the livestock house by comparing the status information recognized from the breeding data of the pigs placed in the actual compartment area and the placement standard for each actual compartment area, and work plan information regarding the moving of the target pigs to the livestock house. It may further include a work planning unit to generate and provide to the user terminal.

According to another aspect of the present invention, there is provided a computer program stored in a computer-readable medium for performing a smart farm pig farming method, the computer program causing the computer to perform the following steps, wherein the steps are performed by a user from a user terminal. receiving changes in the livestock house of pigs according to the operation; updating the breeding data so that the information on the changes in the livestock house is added to the breeding data of the corresponding pig; and updating the breeding data so that additional information collected to correspond to the actual partition area moved to correspond to the changes in the livestock house is further added to the breeding data, wherein the user terminal includes the actual partition area of the actual pig farm. The management screen of the GUI (Graphical User Interface) environment in which the object image is displayed in the virtual compartment area corresponding to the pig house and the pig room and the virtual compartment area corresponding to the actual pig placement situation at the pig farm is displayed, and the virtual compartment is displayed. The object image displayed in the area is managed to correspond to the identification information of the corresponding pig, and the object image corresponding to the pig, which is the target of moving the livestock at the actual pig farm, is dragged from one virtual compartment area to another virtual compartment area. There is provided a computer program stored in a computer-readable medium, in which the change of the congratulatory message is input by moving in a drag and drop manner.

The smart farm pig farming method includes generating a pedigree tree between sows and piglets with reference to sow identification information included in breeding data of each pig; Among the piglets included in the pedigree pedigree, the breeding data of piglets of the first group that satisfy the pre-specified shipping performance standard and the breeding data of piglets of the second group that do not meet the pre-specified shipping grade standard are compared to affect the shipment performance. determining a factor item affecting and generating optimal breeding conditions for piglets to be delivered from the sow in the future by referring to the consideration factors and breeding data of the first group of piglets. Here, the breeding data may include element items for one or more of temperature, humidity, gas concentration, body temperature, weight, exercise amount, feed type, number of feeding, feeding amount, and feeding time by age.

The optimal breeding conditions may be updated with further reference to breeding data and shipment results of piglets delivered in the future from the sows.

When the operating cost at the actual pig farm is set to be fixed, the optimal breeding condition is the setting of each consideration factor that satisfies the fixed operating cost and the pre-specified shipment performance criterion in a pre-designated objective function to have the consideration factor items as parameters It can be generated using a predefined machine learning method to find a value.

The smart farm pig farming method comprises the steps of determining a target pig to be moved to a livestock house by comparing the status information recognized in the breeding data of pigs placed in the actual compartment area and the placement standard for each actual compartment area; And it may further include the step of generating a work plan related to the movement of the determined target pigs to the user terminal and providing it to the user terminal.

Other aspects, features and advantages other than those described above will become apparent from the following drawings, claims, and detailed description of the invention.

According to an embodiment of the present invention, there is an effect that the breeding data of each individual is continuously managed to reflect real-time information regardless of the movement of the barn for each growth cycle during the entire growth period of the pig.

In addition, changes in the breeding barn of pigs can be visualized and managed in a drag and drop method in a graphical user interface (GUI), and corresponding to the moving position of the moved object image in the GUI environment. Since the information is included in the data of the corresponding pig individual and managed, there is an effect of continuously managing the individual data even when the pig moves to the barn.

In addition, by analyzing the genetic characteristics of sows based on the pedigree relationship between sows and piglets and information on the breeding process of piglets, and deriving optimal breeding conditions for piglets based on the genetic characteristics of sows, a systematic and highly productive piglet business is conducted. There is an effect.

In addition, by considering the priority of each influencing factor constituting the optimal breeding conditions to secure an optimal breeding environment even with limited production costs, there is an effect of enabling a highly economical pig farming business.

In addition, by referring to the status information (eg, breed, weight, age, etc.) of pigs currently placed in each actual compartment area and the placement criteria for each compartment area, the target pig to be moved is determined, and a work plan for movement management It also has the effect of making pig farming work efficiently by automatically establishing and providing pig farms.

1 is a block diagram of a smart farm pig farming system according to an embodiment of the present invention.
2 is a diagram showing the configuration of a hierarchical partition area according to an embodiment of the present invention.
3 is a view for explaining the concept of a drag and drop breeding barn change according to an embodiment of the present invention.
4 is a diagram schematically showing the block configuration of a smart farm pig farming system according to another embodiment of the present invention.
5 is a view for explaining a process of deriving optimal breeding conditions through lineage management of pigs according to another embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and it should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention.

The terms used herein are used only to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In this specification, terms such as "comprises" or "have" are intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification exist, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

In addition, in the description with reference to the accompanying drawings, the same components regardless of the reference numerals are given the same or related reference numerals, and the overlapping description thereof will be omitted. In describing the present invention, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted.

1 is a block diagram of a smart farm pig farming system according to an embodiment of the present invention, FIG. 2 is a diagram showing the configuration of a hierarchical partition area according to an embodiment of the present invention, and FIG. 3 is an embodiment of the present invention It is a diagram for explaining the concept of a drag-and-drop breeding barn change according to an embodiment.

1, the smart farm pig system 100 (hereinafter referred to as the pig system 100) is breeding data for each pig individual during the entire growth period (that is, the breeding period from birth to shipment / slaughter). Store and manage to maintain continuity.

The pig farming system 100 may be respectively connected to the user terminal 150 and the additional device 160 through a wired/wireless communication network.

The user terminal 150 receives the user operation of the pig farmer and provides it to the pig farming system 100 , and displays the data provided from the pig farming system 100 on the screen. A user, such as a pig farmer, uses the user terminal 150 to, for example, input information about each individual of pigs (eg, sow number, farrowing date, childbirth, etc.) can be done The user terminal 150 may be, for example, one or more of a smartphone, a tablet PC, and a computer device.

The additional device 160 provides additional information to be managed by being included in the breeding data to the pig farming system 100 .

The additional information may be, for example, information about the breeding environment of pig individuals (eg, temperature, humidity, gas concentration, etc.), weight of each individual, body temperature, and the like. The additional device 160 includes, for example, a thermometer for generating sensing information for sensing temperature and humidity for each compartment area in which pigs are bred (that is, for each actual compartment area such as a pig house, a pig room, and a pig box installed at an actual pig site) and A hygrometer, a camera (or/and a thermal imaging camera) that generates image data that captures the situation in the actual compartment, a gas sensor that generates sensing information by sensing the concentration of odor gas in the real compartment, and a pig that measures the weight of a pig It may be a weight scale or the like.

Each of the additional devices 160 may be connected to the pig farming system 100 to operate, for example, in an Internet of Things (IoT) environment, and the additional information generated by the additional device 160 is a data management block to be described later. It may be collected by the information collection unit 114 of 110 .

As illustrated in FIG. 1 , the pig farming system 100 may include a data management block 110 and a database 130 .

The data management block 110 may include a user correspondence unit 112 , an information collection unit 114 , a data update unit 116 , and a data processing unit 118 . Here, components such as the user correspondence unit 112 , the information collection unit 114 , the data update unit 116 , and the data processing unit 118 may be formed of a software configuration according to a combination of program codes.

The information collection unit 114 collects additional information from the additional device 160 connected through a wired/wireless communication network. The additional information may be, for example, information about the breeding environment of each actual compartment for breeding pigs, the weight of each pig, body temperature, and the like.

For example, when the weight scale is included in the additional device 160 , information provided by measuring the weight of a pig by the scale may be included in the breeding data of each pig and managed. Breeding data may be stored and managed in the database 130 .

Alternatively, the pig's weight, body temperature, etc. may be calculated using thermal image data provided by a thermal imaging camera serving as the additional device 160 . That is, the pig system 100 may measure the body temperature of the livestock by analyzing the thermal image data provided from the additional device 160 , or measure the weight based on the shape and size of the livestock through outline recognition. For this purpose, an image analysis unit (not shown) may be further included in the data management block 110 . However, since the technique of measuring the body temperature of the livestock by analyzing the thermal image data or measuring the weight of the livestock through the outline analysis is obvious to those skilled in the art, a detailed description thereof will be omitted.

The user correspondence unit 112 performs a process according to a user operation using the user terminal 150 connected through the communication network.

A management screen for managing breeding data of pigs may be displayed on the user terminal 150 . For example, the management screen may be an execution screen in which a program installed in advance in the user terminal 150 is driven and displayed, or a web page provided by the user terminal 150 by accessing a pre-designated web address through a communication network.

A user, such as a pig farmer, uses the management screen to provide pig birth information (eg, sow identification number, fertility information, piglet identification number, etc.), and feeding information (eg, feed type, feed The number of times, daily feed amount, etc.), etc., may be transmitted to the pig system 100 by inputting information about breeding generated during the pig working process. To this end, the management screen may be configured to include a list selection and information input window to input information on any pig entity.

In addition, as will be described later, the user can also manage information about pigs moving to the barn by moving the object image in a drag-and-drop manner on the management screen built in the GUI environment (see FIG. 3 ).

The data updater 116 updates the breeding data of each pig stored in the database 130 using information provided from the user terminal 150 and additional information generated by the additional device 160 .

For example, when pig birth information is received from the user terminal 150 , the data update unit 116 newly generates breeding data corresponding to the piglet identification number, and every time information about the pig is generated, breeding data is updated. By the update process, it is processed so that the breeding data for the corresponding pig can be continuously managed during the entire growth period. Breeding data may further include information for pedigree analysis, such as a sow identification number to be described later.

In addition, the data update unit 116 processes the changes in the livestock to be reflected in the breeding data when any pig is moved to the livestock, and additional information (eg, temperature, humidity, weight, etc.) collected while breeding in the moved barn ) and feeding information are continuously updated so that they are included in the breeding data.

The data processing unit 118 generates processing data using breeding data for each pig that is continuously updated and managed. Processing data is necessary for efficient pig farming business, such as growth trend information of specific pigs, average weight information of pigs placed in each compartment, and average weight change information of pigs according to temperature/humidity change or feed type It may be data according to various analysis techniques. The data processing unit 118 may be formed in various ways according to the type of processing data required, and since it is easily understood by those skilled in the art, a detailed description thereof will be omitted.

As described above, the pig system 100 according to the present embodiment continuously manages the data of each individual to reflect real-time information, regardless of the movement of the livestock for each growth cycle during the entire growth period of each pig. When a pig is shipped, the breeding data may be managed so as to be linked with the shipment performance information of the pig.

To this end, the pig system according to the present embodiment allows the user to easily change the data related to the pig's livestock movement only by changing the display position of the object image in the GUI environment, so that continuous data accumulation and management for each pig individual is possible. function is also provided.

Hereinafter, with reference to the related drawings, changes in the pig breeding house are visualized and managed in a drag and drop method in a GUI environment, and information corresponding to the movement position of the object image is included in the data of the pig object. Describe how to manage it. However, for convenience of explanation, as illustrated in FIG. 3 , it is assumed that a pig having an individual identification number 320 of 00215 is actually moved from the original pig room at the actual pig site to the target pig room.

Referring to FIG. 2 , a plurality of actual partitioned areas may be installed at a pig farm of a pig producer, and the actual partitioned areas may be layered to have an inclusive relationship such as, for example, a pig house, a pig room, and a pig box. In an actual pig farm, the pig house 210 and the pig room 220 may be installed in one or more compartments, respectively, and one or more pigs may be disposed in the pig room 220 .

The GUI screen displayed on the display unit of the user terminal 150 may be generated in a screen configuration in which a virtual partition screen corresponding to the quantity and arrangement of an actual partition area installed in an actual pig farming site is displayed. In addition, an object image may be displayed in the virtual compartment area to match the arrangement of pigs at the actual pig farming site. Here, in which virtual partition area each object image is to be displayed, it may be determined by referring to breeding data stored in the database 130 to correspond to each pig object. The displayed individual image may represent a single pig, or may represent a plurality of pigs grouped according to a specific criterion (eg, breed, weight, etc.).

For reference, during the growing period, pigs move to the barn for each growth cycle, such as lactating pigs, piglets (pigs), growing pigs (intermediate-stage pigs), and finisher pigs (adult pigs). to move the barn.

When a pig having an individual identification number 320 of 00215 in an actual pig farm is moved from the original pig room to the target pig room, in order to add the resulting changes to the breeding house to the breeding data of the pig, the user can display the Position and select (click) the mouse cursor 330 on the object image 310 having the object identification number 320 of 00215 displayed in the virtual compartment area corresponding to the original pig room (see Fig. 3 (a)). In this case, detailed information on the pig corresponding to the selected object image 310 may be read from the database 130 and may be preset to be displayed on the detailed information window 340 .

The user drags and moves the object image 310 to the virtual compartment area corresponding to the target pig room while maintaining the selected state for the object image 310 (drag and drop).

When the object image 310 is moved to a new virtual partition area in a drag-and-drop method, the user correspondence unit 112 refers to the area coordinate range for each virtual partition area in the management screen so that the object image 310 is displayed. The moved virtual partition area can be recognized.

In FIG. 3 , a case in which one object image is moved from the original pig room to the target pig room is exemplified, but it is natural that a plurality of object images may be grouped and selected together so that they can be moved at once by a drag and drop method. In addition, when there is a newly born pig, the process of arranging the swine in an arbitrary virtual compartment (eg, a swine house) may also be performed in the manner of moving the individual image described above.

When the user correspondence unit 112 provides information on the moved section area to the data update unit 116, the data update unit 116 relates to the pig corresponding to the object image 310 being moved to the target pig room. Breeding data is updated by creating information (eg, moving date, moved compartment area information, etc.) as a record and adding it to the breeding data corresponding to the pig.

In this way, when pigs are moved or scheduled at the actual pig farm, the user does not need to edit and input individual data for changes in the pig breeding house, but only by processing the display position of the object image in the GUI environment. It has the advantage of being able to complete the reflection of changes.

Even if the breeding barn is changed, breeding data stored in the database 130 to correspond to the pig will be continuously updated using additional information corresponding to the moved actual compartment area, and this processing will be repeated throughout the growing period. will be. Through this, the breeding data can be stored and managed so that continuity is maintained for each of the breeding pigs, regardless of changes in breeding pens, during the entire growth period.

4 is a diagram schematically showing the block configuration of a smart farm pig farming system according to another embodiment of the present invention, and FIG. 5 is a diagram illustrating a process of deriving optimal breeding conditions through lineage management of pigs according to another embodiment of the present invention. is a drawing for

4 and 5 , the data processing unit 118 of the data management block 110 may include a processing processing unit 410 , an analysis unit 420 , and a work planning unit 430 .

As described above with reference to FIG. 1 , the processing unit 410 generates processing data using breeding data for each pig that is stored in the database 130 and managed to be continuously updated during the entire growing period.

The analysis unit 420 interprets the genetic characteristics of the sow based on the pedigree relationship between the sow and the piglet and the breeding data of the piglets, and derives optimal breeding conditions for the piglets based on the genetic characteristics of the sow. The analysis unit 420 may include a pedigree analysis module 422 and an optimization module 424 .

The pedigree analysis module 422 creates a pedigree pedigree between sows and piglets with reference to the breeding data of each pig stored in the database 130 , and interprets the genetic characteristics of the sows with reference to the breeding data of the piglets.

The breeding data includes data accumulated during the entire growth period of each piglet. Breeding data includes, for example, data of various element items (i.e., influencing factor items) for each age, temperature, humidity, gas concentration, body temperature, weight, exercise amount, feed type, number of feeding, amount of feeding, feeding time, etc. can be accumulated.

In order to analyze the genetic characteristics of sows, the pedigree analysis module 422 extracts breeding data of piglets having the highest shipment performance (eg, meat quality, standard grade, etc.) in a predetermined quantity among piglets, and then the In comparison with the breeding data of other piglets, it is possible to determine the factors affecting the shipment performance, and it is also possible to determine the priority between each element.

For example, when the pedigree analysis module 422 uses a clustering machine learning technique to distribute the data of the element items of the breeding data of piglets, it is differentiated only with the data of the element items of piglets showing high shipment results. If a grouping element item exists, it can be determined that the element item is a factor to be considered that affects shipment performance. In this case, a relatively high priority may be given to a consideration factor item having a relatively large degree of differentiated separation. Of course, in addition to this, the machine learning method for detecting element items affecting high shipment performance in preparation for breeding data of a large number of piglets having a common sow may be implemented in various ways.

The pedigree analysis module 422 may derive a consideration factor item that has a relatively large influence on the shipment performance through the correlation analysis between the genetic characteristics of the sow and the shipment performance described above, and the derived information is the genetic characteristic of the sow. It may be stored in the database 130 as information.

The optimization module 424 generates optimal breeding conditions for piglets delivered from each sow with reference to genetic characteristic information for each sow.

The optimal breeding conditions may be predefined to generate, for example, in such a way that the data of piglets showing high shipping performance are set as set values for consideration factors.

Since optimal breeding conditions are created to match the genetic characteristics of sows, they may be set differently for each sow. For example, the optimal breeding conditions for piglets of sow A are to set the temperature at 23 degrees Celsius and feeding time at 10 am from 30 to 50 days of age, but the optimal breeding conditions for piglets of sow B are from 20 to 40 days of age. By setting the temperature to 25 degrees until the day and feeding time at 8 am, they may be different from each other.

The pig producer will be able to rearrange pigs having the same/similar optimal breeding conditions in the same compartment based on the optimal breeding conditions generated based on the sow.

As illustrated in FIG. 5 , the genetic characteristics of the sows can be interpreted based on the shipping results and breeding data of the shipped piglets, and the optimal breeding conditions determined based on the analyzed genetic characteristics are breeding of piglets that the piglets give birth in the future. can be used for

Thereafter, when piglets raised under the optimal breeding conditions are shipped, the optimal breeding conditions for the sows may be continuously updated by further considering the shipment results and breeding data for the shipped piglets.

In addition, when the user limits the operating cost of pig breeding, the optimization module 424 may derive the optimal breeding condition at the limited operating cost by using a pre-specified machine learning technique. For example, the optimization module 424 may use a machine learning method for deriving an optimal setting value for each item of the consideration factor that satisfies the limited operating cost and shipment performance criteria in a predetermined objective function having the factor items to be considered as parameters. will be.

In this way, the analysis unit 420 can provide an optimal acquired environment for breeding piglets in consideration of the genetic characteristics of the sow, so that a systematic and productive piggy business can be run, and also an effective farm management strategy There are advantages that can lead to the establishment of

The work planning unit 430 compares the status information (eg, weight) recognized in the breeding data of pigs arranged in each actual compartment area of the pig farming site and the placement standard for each actual compartment area to the target pig to be moved to the livestock house. Determined, establish a work plan for moving the livestock and provide it to the user terminal 150 .

In general, pigs are high-ranking animals, so when pigs with different weights are mixed in the same compartment, small individuals cannot eat feed and growth is restricted. In order to prevent such a situation, livestock movements are frequently carried out so that individuals of similar sizes are placed in the same compartment area, but it is a very cumbersome task for a pig farmer to determine the target pigs to be moved to each compartment for each compartment area each time.

In order to eliminate this inconvenience, the work planning unit 430 compares the weight of each pig obtained by using the additional information collected by the attachment device 160 and the weight reference range of each compartment to compare the weight of each pig with the underweight pig. A work plan should be developed and provided to the pig producers to move the solid pigs to their respective compartments. To this end, placement criteria such as a weight reference range of pigs to be arranged for each compartment area may be preset.

In addition, the work plan establishment unit 430 performs alarm processing for the feeding time, cleaning time, etc. for each compartment area for the user terminal 150, and the type of feed for each compartment area, the amount of feeding, the temperature and humidity to be set It is also possible to provide further breeding information on the like.

It goes without saying that the smart farm pig farming method described above may be implemented as a software program, an application, etc. embedded in a digital processing device such as an image processing device, and may be performed as an automated procedure according to a time-series sequence. Codes and code segments constituting the program or the like can be easily inferred by a computer programmer in the art. In addition, the program is stored in a computer readable media (computer readable media), is read and executed by the computer to implement the method.

Although the above has been described with reference to the embodiments of the present invention, those of ordinary skill in the art can variously modify and modify the present invention within the scope without departing from the spirit and scope of the present invention described in the claims below. You will understand that it can be changed.

100: smart farm pig farming system 110: data management block
112: user response unit 114: information collection unit
116: data update unit 118: data processing unit
130: database 150: user terminal
160: additional device 210: pig house
220: money room 310: object image
320: object identification number 330: mouse cursor
410: processing unit 420: analysis unit
422: lineage analysis module 424: optimization module
430: work planning unit

Claims (11)

a user response unit receiving changes in the pig's livestock house according to the user's operation from the user terminal; and
Comprising a data update unit for updating the breeding data so that the information on the changes in the livestock house is added to the breeding data of the corresponding pig,
In the user terminal, a virtual compartment area corresponding to a pig house and a pig room, which is an actual division area of the actual pig site, and a GUI (Graphical User Interface) in which an object image is displayed in each virtual compartment area to correspond to the arrangement situation of pigs at the actual pig site The environment's management screen is displayed,
The object image displayed in the virtual compartment area is managed to correspond to the identification information of the corresponding pig, and the object image corresponding to the pig, which is the target of moving the livestock at the actual pig farm, is displayed in one virtual compartment area in another virtual compartment area. The changes in the barn are input by moving them in a drag and drop method,
In order for the data update unit to maintain the continuity of information for the entire breeding period of the pig, additional information collected to correspond to the actual division area moved to correspond to the changes in the livestock house is further added to the breeding data. Smart farm pig farming system, characterized in that updating the breeding data.
According to claim 1,
Smart farm piggy system, further comprising an analysis unit for generating a pedigree tree between sows and piglets with reference to the sow identification information included in the breeding data of each pig, and interpreting the genetic characteristics of the sows with reference to the breeding data of the piglets.
3. The method of claim 2,
Breeding data includes element items for at least one of temperature, humidity, gas concentration, body temperature, body weight, exercise amount, feed type, number of feedings, feeding amount and feeding time by age,
The analysis unit compares breeding data of piglets of a first group that satisfy a preset shipment performance criterion among piglets included in the pedigree pedigree and breeding data of piglets of a second group that do not satisfy a predetermined shipment grade criterion, The genetic characteristics of sows are analyzed by determining factor items that affect shipment performance as consideration factors, and optimal breeding for piglets to be delivered from the sow in the future by referring to the consideration factor item and the breeding data of the first group of piglets Smart farm pig farming system, characterized in that it creates conditions.
4. The method of claim 3,
The analysis unit, smart farm piglet system, characterized in that for updating the optimal breeding conditions with further reference to breeding data and shipment results of piglets delivered from the sow in the future.
4. The method of claim 3,
When the operating cost at the actual pig farm is set to be fixed, the analysis unit sets the fixed operating cost in the objective function predefined to have the consideration factor items as parameters and the set value of each consideration factor item that satisfies the pre-specified shipment performance criterion Smart farm pig farming system, characterized in that it creates optimal breeding conditions using a predefined machine learning method to find
According to claim 1,
By comparing the status information recognized from the breeding data of pigs arranged in the actual compartment area and the placement standard for each actual compartment area, the target pig to be moved is determined, and work plan information related to the movement of the target pigs is generated to the user terminal. Further comprising a work planning unit to provide for, smart farm pig farming system.
A computer program stored on a computer-readable medium for performing a smart farm pig farming method, the computer program causing the computer to perform the following steps, the steps comprising:
receiving, from a user terminal, changes to the pig's livestock according to the user's operation;
updating the breeding data so that the information on the changes in the livestock house is added to the breeding data of the corresponding pig; and
Updating the breeding data so that additional information collected to correspond to the actual division area moved to correspond to the changes in the livestock house is further added to the breeding data,
In the user terminal, a virtual compartment area corresponding to a pig house and a pig room, which is an actual division area of the actual pig site, and a GUI (Graphical User Interface) in which an object image is displayed in each virtual compartment area to correspond to the arrangement situation of pigs at the actual pig site The environment's management screen is displayed,
The object image displayed in the virtual compartment area is managed to correspond to the identification information of the corresponding pig, and the object image corresponding to the pig, which is the target of moving the livestock at the actual pig farm, is displayed in one virtual compartment area in another virtual compartment area. A computer program stored in a computer-readable medium, in which the change of the congratulatory speech is input by moving it in a drag and drop manner.
8. The method of claim 7,
generating a pedigree tree between sows and piglets by referring to sow identification information included in breeding data of each pig;
Among the piglets included in the pedigree pedigree, the breeding data of piglets of the first group that satisfy the pre-specified shipping performance standard and the breeding data of piglets of the second group that do not meet the pre-specified shipping grade standard are compared to affect the shipment performance. determining a factor item affecting and
Further comprising the step of generating optimal breeding conditions for piglets to be delivered from the sow in the future by referring to the consideration factor items and breeding data of the first group of piglets,
The breeding data is stored in a computer-readable medium, which includes element items for one or more of temperature, humidity, gas concentration, body temperature, body weight, exercise amount, feed type, number of feedings, feeding amount and feeding time by age. computer program.
9. The method of claim 8,
The optimal breeding condition is updated with further reference to breeding data and shipment results of piglets delivered in the future from the sow, a computer program stored in a computer-readable medium.
9. The method of claim 8,
When the operating cost at the actual pig farm is set to be fixed, the optimal breeding condition is the setting of each consideration factor that satisfies the fixed operating cost and the pre-specified shipment performance criterion in a pre-designated objective function to have the consideration factor items as parameters A computer program stored on a computer-readable medium, created using a predefined machine learning method to find a value.
8. The method of claim 7,
determining the target pig to be moved to the livestock house by comparing the status information recognized from the breeding data of the pigs arranged in the actual compartment area and the placement standard for each actual compartment area; and
A computer program stored in a computer-readable medium, further comprising the step of generating a work plan for the determined target pigs moving to the barn and providing it to the user terminal.

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