KR102158377B1 - Optical breeding model decision method and optical breeding model decision system using the method - Google Patents

Abstract

Disclosed are an optimal breeding model determination method capable of determining an optimal breeding model to be provided to a maternity barn system placed in a random maternity barn, and an optimal breeding model determination system using the same. The optimal breeding model determination method, which is a model determination method performed by a computer system, includes the following steps of: receiving at least one piece of maternity barn monitoring data from at least one monitoring maternity barn system individually placed in at least one maternity barn which is a monitoring target; and determining an optimal breeding model to be provided to at least one target maternity barn system individually placed in at least one target maternity barn by collectively analyzing the maternity barn monitoring data. Therefore, the target maternity barn system can manage the target maternity barn in an optimal condition in accordance with the optimal breeding model.

Description

Optimal breeding model determination method and optimal breeding model system using the same {OPTICAL BREEDING MODEL DECISION METHOD AND OPTICAL BREEDING MODEL DECISION SYSTEM USING THE METHOD}

The present invention relates to an optimal breeding model determination method and an optimal breeding model system using the same, and more specifically, an optimal breeding model determination method capable of determining an optimal breeding model for controlling a delivery shed system arranged in a delivery shed, and optimal breeding using the same It is about the model system.

Various livestock are raised on the farm, of which pig farms are called pig farms. Such pig farms may be pregnant, delivery, fattening, piglets, breeders, and the like. Here, delivery means a farm in which the delivered sows and the delivered piglets are raised together for a certain period of time.

Recently, a delivery shed system that can automatically rear sows and piglets in delivery sheds has been developed and installed. At this time, the delivery company system includes a feed feeder capable of controlling the feeding amount of the feed, a temperature control device capable of adjusting the temperature in the delivery center, a humidity control device capable of adjusting the humidity in the delivery center, the feed feeder, the temperature control device, and It may be configured as a control device capable of controlling the humidity control device. That is, if the feeding amount set value, the temperature set value, and the humidity set value are stored in the control device, the control device feeds the feed according to the feeding amount set value, the temperature set value, and the humidity set value. , It is possible to control the temperature control device and the humidity control device, respectively.

For example, in Korean Patent Registration No. 10-1792777 (announced on February 2, 2017),'A method of controlling the supply amount of liquid feed for pig farming by manufacturing and supplying liquid feed with different nutrient levels by growth age or by growth stage. 'Is disclosed.

Meanwhile, from the position of the delivery company manager, he wants the delivery company he manages to be managed in an optimal state. However, in order to find an optimal breeding model in the delivery center, a lot of experience and data accumulation accordingly are required. Therefore, it is very difficult to manage the delivery company according to the optimal breeding model.

Accordingly, the present invention is to solve such a problem, and an object to be solved of the present invention is to provide a method for determining an optimal breeding model capable of determining an optimal breeding model to be provided to a delivery shed system disposed in an arbitrary delivery shed.

In addition, another problem to be solved of the present invention is to provide a system for determining an optimal breeding model using the method for determining the optimal breeding model.

The method for determining an optimal breeding model according to an embodiment of the present invention relates to a method for determining a model performed by a computer system, and at least one delivery shed monitoring data from at least one monitoring delivery shed system each disposed in at least one delivery shed to be monitored. Receiving each; And determining an optimal breeding model to be provided to the at least one target delivery center system arranged in each of the at least one target delivery center by analyzing the integrated monitoring data.

The delivery death monitoring data may include temperature monitoring data related to the temperature for 3 weeks in each delivery house; Humidity monitoring data for 3 weeks of humidity at each delivery house; And it may include feeding amount monitoring data on the feeding amount for 3 weeks in each delivery company.

The optimal breeding model may include an optimal temperature control model determined through integrated analysis of the temperature monitoring data; An optimal humidity control model determined through integrated analysis of the humidity monitoring data; And an optimal feeding amount control model determined through integrated analysis of the feeding amount monitoring data.

In this example, the average weight when a plurality of piglets entering the delivery center are reared for 3 weeks and then discharged is defined as'reasonable weight', and a plurality of piglets entering the delivery center survived without dying after being raised for 3 weeks and discharged. The number of sows at the time of pregnancy is defined as the'number of extremities', and the number of days from the point when sows entering the delivery center are reared for 3 weeks and discharged to the date of pregnancy again is defined as the'recursive estrus date'.

The temperature monitoring data includes basic temperature-reasonable body weight data representing the weaning weight according to the temperature for 3 weeks in each delivery house; Base temperature-number of weaning heads data representing the number of weaning heads according to the temperature for 3 weeks in each delivery house; And base temperature-recursive estrus date data representing the recursive estrus date according to the temperature for 3 weeks in each delivery house.

The optimum temperature control model is an optimum temperature-reasonable body weight model extracted through an integrated analysis of the basic temperature-reasonable body weight data, an optimum temperature-reasonable body weight model extracted through an integrated analysis of the basic temperature-reasonable body weight data, and the It may be extracted using the optimal temperature-recursive heat model extracted through the integrated analysis of the basic temperature-recursive heat date data.

The optimum temperature-reasonable body weight model may include a first optimum temperature range in the delivery house that can derive the integrated optimum weaning weight according to temperature, and the optimum temperature-reasonable body weight model may include an integrated optimum weaning number according to temperature and the It may include a second optimal temperature range in the delivery company that can derive the integrated optimal number of weaning heads, and the optimal temperature-recursive estrus date model can derive the integrated optimal recursive estrus date according to temperature and the integrated optimal weaning estrus date. It may include a third optimal temperature range in the delivery house.

The optimum temperature control model may include an optimum temperature control range extracted by the first optimum temperature range, the second optimum temperature range, and the third optimum temperature range. In this case, the optimum temperature control range may be a temperature range corresponding to an intersection of the first optimum temperature range, the second optimum temperature range, and the third optimum temperature range.

The humidity monitoring data includes basic humidity-reasonable body weight data representing the weaning weight according to the humidity for 3 weeks in each delivery house; Basic humidity-number of weaning heads data representing the number of weaning heads according to humidity for 3 weeks in each delivery house; And basic humidity-recursive estrus date data representing the recursive estrus date according to the humidity for 3 weeks in each delivery house.

The optimal humidity control model is an optimal humidity-reasonable body weight model extracted through an integrated analysis of the basic humidity-reasonable body weight data, an optimal humidity-reasonable body weight model extracted through an integrated analysis of the basic humidity-reasonable body weight data, and the It can be extracted using the optimal humidity-recursive estrus date model extracted through an integrated analysis of the basic humidity-recursive estrus date data.

The optimal humidity-reasonable weight model may include an integrated optimal weaning weight according to humidity and a first optimal humidity range in the delivery house capable of deriving the integrated optimal weaning weight, and the optimal humidity-reasonable body weight model is The integrated optimal number of weaning heads and the second optimal humidity range in the delivery house that can derive the integrated optimal number of weaning heads may be included, and the optimal humidity-recursive estrus date model is an integrated optimal recursive estrus date according to humidity and the integrated optimal weaning date. A third optimal humidity range can be included in the delivery house that can derive work.

The optimum humidity control model may include an optimum humidity control range extracted from the first optimum humidity range, the second optimum humidity range, and the third optimum humidity range. In this case, the optimum humidity control range may be a humidity range corresponding to an intersection of the first optimum humidity range, the second optimum humidity range, and the third optimum humidity range.

The feeding amount monitoring data may include basic feeding amount-reasonable weight data indicating the weaning weight according to the feeding amount for 3 weeks at each delivery company; Basic feeding amount-number of reason heads data indicating the number of weaning heads according to the feed amount for 3 weeks in each delivery house; And it may include a basic feeding amount-recursive estrus date data indicating the recursive estrus date according to the feeding amount for 3 weeks in each delivery company.

The optimal feeding amount control model is the optimal feeding amount extracted through the integrated analysis of the basic feeding amount-reasonable body weight data, and the optimal feeding amount extracted through the integrated analysis of the basic feeding amount-reaching head number data. It may be extracted using the feeding amount-the number of reason heads model, and the optimal feeding amount-recursive estrus date model extracted through the integrated analysis of the basic feeding amount-recursive estrus date data.

The optimal feeding amount-reasonable weight model may include an integrated optimal weaning weight according to the feeding amount and a first optimal feeding amount range in the delivery company that can derive the integrated optimal weaning weight, and the optimal feeding amount -The number of reasoned breasts model may include the integrated optimal number of weaning heads according to the feeding amount and the second optimal feeding amount range in the delivery company that can derive the integrated optimal number of weaning heads, and the optimal humidity-recursive estrus date model It may include a third optimal feeding amount range in the delivery history that can derive the integrated optimal recursive estrus date according to the amount and the integrated optimal weaning estrus date.

The optimal feeding amount control model may include an optimal feeding amount control range extracted by the first optimal feeding amount range, the second optimal feeding amount range, and the third optimal feeding amount range. In this case, the optimal feeding amount control range may be a feeding amount range corresponding to an intersection of the first optimal feeding amount range, the second optimal feeding amount range, and the third optimal feeding amount range.

When the feed feeder in the target delivery company system includes a piglet feeder that supplies feed to the piglets and a sow feeder that supplies feed to the sows, the optimal feeding amount control model is the optimal piglet feeding for controlling the piglet feeder. Two-quantity control model; And it may include an optimal sow feeding amount control model for controlling the sow feeding.

The optimal piglet feeding amount control model may include an optimal piglet feeding amount control range corresponding to an intersection of the first optimal feeding amount range and the second optimal feeding amount range.

The optimal sow feeding amount control model may include an optimal sow feeding amount control range corresponding to the third optimal sow feeding amount range.

Subsequently, the system for determining an optimal breeding model according to an embodiment of the present invention includes: a database unit for receiving and storing at least one delivery center monitoring data from at least one monitoring delivery center system each arranged in at least one delivery center to be monitored; And an optimal breeding model determination unit configured to analyze the integrated delivery center monitoring data to determine an optimal breeding model to be provided to at least one target delivery center system disposed in each of the at least one target delivery center.

As described above, according to the method for determining the optimal breeding model and the system for determining the optimal breeding model using the method according to the present invention, the optimal breeding model is determined by integrated analysis of the childbirth monitoring data received from the monitoring delivery center system and then provided to the target delivery center system. The target delivery shed system may manage the target delivery shed in an optimal state according to the optimal breeding model.

1 is a block diagram illustrating a system for determining an optimal breeding model according to an embodiment of the present invention.
FIG. 2 is a conceptual diagram illustrating a process in which the optimal breeding model determination system of FIG. 1 determines an optimal breeding model through delivery house monitoring data.
3 is a conceptual diagram illustrating a process of determining an optimum temperature control model using temperature monitoring data during the process of determining an optimum breeding model of FIG. 2.
4 is a conceptual diagram illustrating a process of extracting an optimum temperature control range using the first to third optimum temperature ranges in FIG. 3.
5 is a table diagram for explaining an example of a process of extracting the optimum temperature control range of FIG. 4.
6 is a conceptual diagram illustrating a process of determining an optimum humidity control model using humidity monitoring data during the process of determining an optimum breeding model of FIG. 2.
FIG. 7 is a conceptual diagram illustrating a process of extracting an optimum humidity control range by using the first to third optimum humidity ranges in FIG. 6.
8 is a table diagram for explaining an example of a process of extracting the optimum humidity control range of FIG. 7.
9 is a conceptual diagram illustrating a process of determining an optimal feeding amount control model using feeding amount monitoring data in the process of determining the optimal breeding model of FIG. 2.
FIG. 10 is a conceptual diagram illustrating a process of extracting an optimal feeding amount control range using the first to third optimal feeding amount ranges in FIG. 9.
11 is a table diagram for explaining an example of a process of extracting an optimal feeding amount control range of FIG. 10.
12 is a conceptual diagram illustrating a process of controlling a target delivery center system according to an optimal breeding model determined through the process of FIG. 2.
13 is a conceptual diagram illustrating another process of extracting an optimal feeding amount control range different from that of FIG. 10.
14 is a table diagram for explaining an example of a process of extracting an optimal feeding amount control range of FIG. 13.
FIG. 15 is a conceptual diagram illustrating a process of controlling a target delivery center system according to an optimal temperature control model determined differently from FIG. 12.

In the present invention, various modifications may be made and various forms may be applied, and specific embodiments will be illustrated in the drawings and described in detail in the text.

However, this is not intended to limit the present invention to a specific form disclosed, it should be understood to include all changes, equivalents, and substitutes included in the spirit and scope of the present invention. Terms such as first and second may be used to describe various elements, but the elements should not be limited by the terms. These terms are only used for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may be referred to as a first component.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present application, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or a combination thereof described in the specification, but one or more other features or It is to be understood that the presence or addition of numbers, steps, actions, components, parts, or combinations thereof does not preclude the possibility of preliminary exclusion.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings.

1 is a block diagram illustrating a system for determining an optimal breeding model according to an embodiment of the present invention, and FIG. 2 is a block diagram illustrating a process in which the optimal breeding model determination system of FIG. 1 determines an optimal breeding model through delivery house monitoring data It is a conceptual diagram for doing.

1 and 2, the system 100 for determining the optimal breeding model according to the present embodiment includes at least one monitoring delivery center system each disposed in at least one delivery center to be monitored through a wired or wireless network, for example, the Internet. 10) and, a computer system connected to at least one target delivery center system 200 disposed in each of the at least one target delivery center, and includes a database unit 110 and an optimal breeding model determination unit 120.

The database unit 110 may receive and store the respective delivery center monitoring data from the monitoring delivery center system 10. The optimal breeding model determination unit 120 will provide the optimal breeding model to the target childbirth system 200 after determining the optimal breeding model by integrated analysis of the delivery shed monitoring data stored in the database unit 110. I can.

Meanwhile, in FIG. 1, the monitoring delivery staff system 10 is composed of a monitoring delivery staff system A disposed in three delivery staff A, a monitoring delivery delivery staff system B disposed in delivery delivery staff B, and a monitoring delivery delivery staff system C disposed in delivery delivery staff C. It is shown as an example.

Hereinafter, a method of determining an optimal breeding model performed by the optimal breeding model determination system 100 will be described in detail.

Referring again to FIGS. 1 and 2, the database unit 110 may receive and store the delivery person monitoring data from the monitoring delivery person system 10, respectively. For example, the database unit 110 receives the delivery person monitoring data A from the monitoring delivery person system A, the delivery person monitoring data B from the monitoring delivery person system B, and the delivery person monitoring data C from the monitoring delivery person system C, respectively. Can be saved. In this case, the database unit 110 may periodically receive the delivery person monitoring data from the monitoring delivery person system 10 every predetermined time or receive and store the delivery person monitoring data whenever the delivery person monitoring data is generated.

In this embodiment, the delivery center monitoring data is based on temperature monitoring data for 3 weeks temperature in each delivery house, humidity monitoring data on humidity for 3 weeks in each delivery house, and the feeding amount for 3 weeks at each delivery house. It may contain data for monitoring feed rates.

For example, the delivery shed monitoring data A is a temperature monitoring data A for 3 weeks of temperature in the delivery shed A, humidity monitoring data A for 3 weeks of humidity in the delivery shed A, and 3 weeks in the delivery shed A May include feeding amount monitoring data A related to the feeding amount of the delivery center B, the temperature monitoring data B regarding the temperature of the delivery center B for 3 weeks, and the humidity for 3 weeks at the delivery center B. It may include humidity monitoring data B, and feeding amount monitoring data B related to the feeding amount for three weeks in the delivery shed B, and the delivery shed monitoring data C is a temperature related to the temperature for three weeks in the delivery shed C. It may include monitoring data C, humidity monitoring data C regarding humidity for 3 weeks in the delivery company C, and feeding amount monitoring data C regarding the amount of feeding in the delivery company C for 3 weeks.

Subsequently, the optimal breeding model determination unit 120 may determine the optimal breeding model by analyzing the delivery death monitoring data stored in the database unit 110 in an integrated manner.

In this embodiment, the optimal breeding model is an optimal temperature control model determined through an integrated analysis of the temperature monitoring data, an optimal humidity control model determined through an integrated analysis of the humidity monitoring data, and an integrated analysis of the feeding amount monitoring data The optimal feed rate control model determined through may be included.

For example, the optimal temperature control model may be determined through an integrated analysis of the temperature monitoring data A, the temperature monitoring data B, and the temperature monitoring data C, and the optimal humidity control model is the humidity monitoring data A and the humidity. It can be determined through the integrated analysis of monitoring data B and the humidity monitoring data C, and the optimal feeding amount control model is the feeding amount monitoring data A, the feeding amount monitoring data B, and the feeding amount monitoring data C. It can be determined through an integrated analysis.

Subsequently, the optimal breeding model determination unit 120 may transmit the optimal breeding model determined as described above to the target delivery company system 200.

On the other hand, in this embodiment, the average weight when a plurality of piglets entering the delivery center are reared for 3 weeks and then discharged is defined as'reasonable weight', and a plurality of piglets entering the delivery house do not die after being raised for 3 weeks. The number of populations at the time of surviving discharge is defined as'the number of sows', and the number of days from the point of time when sows that have entered the delivery center to breeding and discharged for 3 weeks to the date of fertility at which they can conceive again is defined as the'recursion date'.

Hereinafter, among the optimal breeding models, the optimal temperature control model will be described in detail.

3 is a conceptual diagram illustrating a process of determining an optimum temperature control model using temperature monitoring data during the process of determining the optimum breeding model of FIG. 2, and FIG. 4 is a diagram illustrating a process of determining an optimum temperature control model using the first to third optimum temperature ranges in FIG. A conceptual diagram illustrating a process of extracting the optimum temperature control range, and FIG. 5 is a table diagram illustrating an example of the process of extracting the optimum temperature control range of FIG. 4.

3 to 5, the temperature monitoring data is the basis for indicating the weaning weight according to the temperature for 3 weeks in each delivery company, and the basis for indicating the number of weaning heads according to the temperature for 3 weeks in each delivery company. It may include temperature-reasonable head count data, and base temperature-recursive estrus date data representing the recursive estrus date according to the temperature for 3 weeks in each delivery house.

For example, the temperature monitoring data A is a base temperature representing the weaning weight according to the temperature for 3 weeks in the delivery person A-the base temperature representing the number of weaning heads according to the temperature during the 3 weeks in the delivery person A -The number of reasons and breasts data A, and the base temperature representing the recursive estrus date according to the temperature for 3 weeks in the delivery company A-may include recursive estrus date data A, and the temperature monitoring data B is for 3 weeks in the delivery company B The basis temperature representing the weaning weight according to the temperature of the child B, the basic temperature representing the number of weaning heads according to the temperature of the three weeks in the delivery person B-the temperature of the three weeks in the delivery person B Base temperature representing the recursive estrus date according to the -recursive estrus date data B, and the temperature monitoring data C is the base temperature representing the weaning body weight according to the temperature for three weeks in the delivery person C -reasonable body weight data C, the The base temperature representing the number of weaning heads according to the temperature for 3 weeks in the delivery person C-The base temperature representing the number of weaning heads according to the temperature of the 3 weeks in the delivery person C-and the recursive estrus date data C I can.

Subsequently, the optimum temperature control model is an optimum temperature-reasonable body weight model extracted through an integrated analysis of the basic temperature-reasonable body weight data, an optimum temperature-reasonable body weight model extracted through an integrated analysis of the basic temperature-reasonable body weight data, And the optimal temperature extracted through the integrated analysis of the base temperature-recursive estrus date data, and may be extracted using a recursive estrus date model.

For example, the optimal temperature-different weight model may be extracted through an integrated analysis of the basic temperature-different weight data A, the basic temperature-different weight data B, and the basic temperature-different weight data C. In this case, the optimum temperature-reasonable body weight model may include a first optimum temperature range in the delivery house capable of deriving an integrated optimum weaning weight according to temperature. Specifically, for example, through an integrated analysis of the basic temperature-reasonable body weight data A, the basic temperature-reasonable body weight data B, and the basic temperature-reasonable weight data C, the integrated optimal weight is determined to be optimal in a temperature relationship. Thereafter, the first optimum temperature range may be determined by extracting the optimum temperature range for each parking for 3 weeks from which the integrated optimum reason weight can be derived.

In addition, the optimum temperature-reasonable head number model may be extracted through an integrated analysis of the basic temperature-reasonable head number data A, the basic temperature-reason head number data B, and the basic temperature-reason head number data C. In this case, the optimal temperature-number of reasons for reasons model may include a second optimum temperature range in the delivery house capable of deriving the integrated optimal number of reasons for reasons according to temperature. Specifically, for example, through an integrated analysis of the basic temperature-number of reasons why data A, the basic temperature-number of reasons data B, and the basic temperature-number of reasons data C, the integrated optimal number of reasons determined to be optimal in the temperature relationship is determined. Thereafter, the second optimum temperature range may be determined by extracting the optimum temperature range for each parking for 3 weeks in which the integrated optimum number of reasons can be derived.

In addition, the optimum temperature-recursive estrus date model may be extracted through an integrated analysis of the basic temperature-recursive estrus date data A, the basic temperature-recursive estrus date data B, and the basic temperature-recursive estrus date data C. In this case, the optimal temperature-recursive estrus date model may include a third optimal temperature range in the delivery house capable of deriving an integrated optimal recursive estrus date according to temperature. Specifically, for example, through an integrated analysis of the basic temperature-recursive estrus data A, the basic temperature-recursive estrus data B, and the basic temperature-recursive estrus data C, an integrated optimal recursion determined to be optimal in a temperature relationship After determining the estrus date, the third optimal temperature range may be determined by extracting the optimum temperature range for each week for 3 weeks to which the integrated optimal recursive estrus date can be derived.

Subsequently, the optimum temperature control model may include an optimum temperature control range extracted by the first optimum temperature range, the second optimum temperature range, and the third optimum temperature range. For example, the optimum temperature control range may be a temperature range corresponding to an intersection of the first optimum temperature range, the second optimum temperature range, and the third optimum temperature range.

Hereinafter, the optimal humidity control model among the optimal breeding models will be described in detail.

6 is a conceptual diagram illustrating a process of determining an optimum humidity control model using humidity monitoring data during the process of determining an optimum breeding model of FIG. 2, and FIG. 7 is a diagram illustrating a process of determining an optimum humidity control model using the first to third optimum humidity ranges in FIG. A conceptual diagram illustrating a process of extracting the optimum humidity control range, and FIG. 8 is a table diagram illustrating an example of the process of extracting the optimum humidity control range of FIG. 7.

6 to 8, the humidity monitoring data is the basis for indicating the weaning weight according to the humidity for 3 weeks in each delivery house, and the basis for indicating the number of weanings according to the humidity for 3 weeks in each delivery house. It may include humidity-number of reasons and head data, and basic humidity-recursive estrus date data indicating a recursive estrus date according to humidity for 3 weeks in each delivery house.

For example, the humidity monitoring data A is the basic humidity representing the weaning weight according to the humidity for 3 weeks in the delivery person A-the basic humidity representing the number of weaning heads according to the humidity in the delivery person A for 3 weeks. -The number of reasons and breasts data A, and basic humidity representing the recursive estrus date according to the humidity for 3 weeks in the delivery company A-may include data A on the recursive estrus date, and the humidity monitoring data B is for 3 weeks in the delivery company B Basic humidity representing the weaning weight according to the humidity of the delivery company B, the basic humidity representing the number of weaning heads according to the humidity for 3 weeks in the delivery company B, and the humidity in the delivery company B for 3 weeks The basic humidity indicating the recursive estrus date according to the recursive estrus day data B may be included, and the humidity monitoring data C is the basic humidity indicating the weaning weight according to the humidity for three weeks in the delivery house C-the two fluid weight data C, the Basic humidity representing the number of weaning heads according to the humidity for 3 weeks in the birthing house C-and the basic humidity-recursive estrus date data C representing the recursive estrus date according to the humidity of the 3 weeks in the delivery house C. I can.

Subsequently, the optimal humidity control model is an optimal humidity-reasonable body weight model extracted through an integrated analysis of the basic humidity-reasonable body weight data, an optimal humidity-reasonable body weight model extracted through an integrated analysis of the basic humidity-reasonable body weight data, And an optimal humidity-recursive estrus date model extracted through an integrated analysis of the basic humidity-recursive estrus date data.

For example, the optimal humidity-reasonable weight model may be extracted through an integrated analysis of the basic humidity-reasonable weight data A, the basic humidity-reasonable weight data B, and the basic humidity-reasonable weight data C. In this case, the optimum humidity-reasonable weight model may include a first optimum humidity range in the delivery house capable of deriving an integrated optimum weaning weight according to humidity. Specifically, for example, through an integrated analysis of the basic humidity-reasonable body weight data A, the basic humidity-reasonable weight data B, and the basic humidity-reasonable body weight data C, the integrated optimal weight is determined to be optimal in the humidity relationship. Thereafter, the first optimal humidity range may be determined by extracting the optimal humidity range for each parking for 3 weeks from which the integrated optimal reason weight can be derived.

In addition, the optimum humidity-reasonable head number model may be extracted through an integrated analysis of the basic humidity-reasonable head number data A, the basic humidity-reasonable head number data B, and the basic humidity-reasonable head number data C. In this case, the optimal humidity-number of reason heads model may include a second optimal humidity range in the delivery house capable of deriving an integrated optimal number of reasons for reason according to humidity. Specifically, for example, through an integrated analysis of the basic humidity-number of reasons data A, the basic humidity-number of reasons data B, and the basic humidity-number of reasons data C, the integrated optimal number of reasons determined to be optimal in the humidity relationship is determined. Thereafter, the second optimal humidity range may be determined by extracting an optimal humidity range for each parking for 3 weeks from which the integrated optimal number of reasons can be derived.

In addition, the optimal humidity-recursive estrus date model may be extracted through an integrated analysis of the basic humidity-recursive estrus date data A, the basic humidity-recursive estrus date data B, and the basic humidity-recursive estrus date data C. In this case, the optimal humidity-recursive estrus date model may include a third optimal humidity range in the delivery house capable of deriving an integrated optimal recursive estrus date according to humidity. Specifically, for example, through an integrated analysis of the basic humidity-recursive estrus data A, the basic humidity-recursive estrus data B, and the basic humidity-recursive estrus data C, the integrated optimal recursion is determined to be optimal in the humidity relationship. After determining the estrus date, the third optimal humidity range may be determined by extracting an optimal humidity range for each parking for 3 weeks from which the integrated optimal recursive estrus date can be derived.

Subsequently, the optimum humidity control model may include an optimum humidity control range extracted by the first optimum humidity range, the second optimum humidity range, and the third optimum humidity range. For example, the optimum humidity control range may be a humidity range corresponding to an intersection of the first optimum humidity range, the second optimum humidity range, and the third optimum humidity range.

Hereinafter, the optimal feeding amount control model among the optimal breeding models will be described in detail.

9 is a conceptual diagram for explaining a process of determining an optimal feeding amount control model using feeding amount monitoring data during the process of determining the optimal breeding model of FIG. 2, and FIG. 10 is A conceptual diagram for explaining a process of extracting the optimum feeding amount control range using the two amount range, and FIG. 11 is a table diagram for explaining an example of the process of extracting the optimum feeding amount control range of FIG.

9 to 11, the feeding amount monitoring data is the basic feeding amount-reasonable weight data representing the weaning weight according to the feeding amount for 3 weeks in each delivery company, and the feeding rate for 3 weeks in each delivery company. It may include the basic feeding amount-recursive estrus data indicating the number of weaning heads according to the amount, and the basic feeding amount-recursive estrus date data indicating the recursive estrus date according to the feeding amount for three weeks at each delivery house.

For example, the feeding amount monitoring data A is the basic feeding amount representing the weaning weight according to the feeding amount for 3 weeks in the delivery company A-the fluid weight data A, the feeding amount for 3 weeks in the delivery company A A basic feeding amount representing the number of weaning heads according to -the number of reasoning heads data A, and a basic feeding amount representing the recursive estrus date according to the three-week feeding amount in the delivery company A -recursive estrus date data A may be included, and , The feeding amount monitoring data B is a basic feeding amount representing the weaning weight according to the feeding amount for 3 weeks in the delivery company B, the reason according to the feeding amount for 3 weeks in the delivery company B, It may include a basic feeding amount representing the number of heads-data B for the number of reasons, and a basic feeding amount representing a recursive estrus date according to the feeding amount for 3 weeks in the delivery company B-and data B for recursive estrus. The amount monitoring data C represents the basic feeding amount-weaning weight data C representing the weaning weight according to the feeding amount for 3 weeks in the delivery company C, and the weaning head count according to the feeding amount for 3 weeks in the delivery company C. It may include a basic feeding amount-recursive estrus data C, and a basic feeding amount-recursive estrus date data C indicating a recursive estrus date according to the feeding amount for 3 weeks in the delivery house C.

Subsequently, the optimal feeding amount control model is extracted through an integrated analysis of the optimal feeding amount-reasonable weight model, the basic feeding amount-reasonable head number data extracted through the integrated analysis of the basic feeding amount-reasonable weight data. It can be extracted using the optimal feeding amount-recursive estrus date model, and the optimal feeding amount-recursive estrus date model extracted through the integrated analysis of the basic feeding amount-recursive estrus date data.

For example, the optimal feeding amount-reasonable weight model is an integrated analysis of the basic feeding amount-reasonable weight data A, the basic feeding amount-reasonable weight data B, and the basic feeding amount-reasonable weight data C. Can be extracted through. In this case, the optimal feeding amount-reasonable weight model may include a first optimal feeding amount range in the delivery company capable of deriving an integrated optimal weaning weight according to the feeding amount. Specifically, for example, through the integrated analysis of the basic feeding amount-reasonable body weight data A, the basic feeding amount-reasonable weight data B, and the basic feeding amount-reasonable weight data C, it is said to be optimal in the feeding amount relationship. After determining the determined integrated optimal weaning weight, the optimal feeding amount range from which the integrated optimal weaning weight can be derived may be extracted for each week for 3 weeks, and the first optimal feeding amount range may be determined.

In addition, the optimal feeding amount-the number of reason heads model is extracted through an integrated analysis of the basic feeding amount-the number of reason heads data A, the basic feeding amount-the number of reason heads data B, and the basic feeding amount-number of reason heads data C. Can be. In this case, the optimal feeding amount-number of reason heads model may include a second optimal feeding amount range in the delivery house capable of deriving the integrated optimal number of weaning heads according to the feeding amount. Specifically, for example, through the integrated analysis of the basic feeding amount-the number of reason heads data A, the basic feeding amount-the number of reason heads data B, and the basic feeding amount-the number of reasons of breasts data C, it is said to be optimal in the feeding amount relationship After determining the determined integrated optimal number of weaning heads, the optimal feeding amount range from which the integrated optimal number of weaning heads can be derived may be extracted for each week for three weeks, and the second optimal feeding amount range may be determined.

In addition, the optimal feeding amount-recursive estrus date model is the integration of the basic feeding amount-recursive estrus date data A, the basic feeding amount-recursive estrus date data B, and the basic feeding amount-recursive estrus date data C It can be extracted through analysis. In this case, the optimal feeding amount-recursive estrus date model may include a third optimal feeding amount range in the delivery house capable of deriving an integrated optimal recursive estrus date according to the feeding amount. Specifically, for example, through an integrated analysis of the basic feeding amount-recursive estrus date data A, the basic feeding amount-recursive estrus data B, and the basic feeding amount-recursive estrus date data C, the relationship between feeding amounts After determining the integrated optimal recursive estrus date determined to be optimal, the optimal feeding amount range from which the integrated optimal recursive estrus date can be derived is extracted for each week for 3 weeks, and the third optimal feeding amount range is determined. I can.

Subsequently, the optimal feeding amount control model may include an optimal feeding amount control range extracted from the first optimal feeding amount range, the second optimal feeding amount range, and the third optimal feeding amount range. have. For example, the optimal feeding amount control range may be a feeding amount range corresponding to an intersection of the first optimal feeding amount range, the second optimal feeding amount range, and the third optimal feeding amount range. .

12 is a conceptual diagram illustrating a process of controlling a target delivery center system according to an optimal breeding model determined through the process of FIG. 2.

Referring to FIG. 12, the target delivery center system 200 includes a control device 210, a temperature control device 220 that is controlled by the control device 210 to adjust the temperature in the target delivery center, and the control device 210. ) Controlled by the humidity control device 230 that can control the humidity in the target delivery house, the feed feeder 240 that is controlled by the control device 210 to control the amount of feed in the target delivery house It may include.

The control device 210 receives the optimal breeding model from the optimal breeding model determination system 100, and according to the optimal breeding model, the temperature control device 220, the humidity control device 230, and the feed feed Each of these 240 can be controlled. That is, the control device 210 may control the temperature control device 220 according to the optimal temperature control model provided from the optimal breeding model determination system 100, and the optimal breeding model determination system 100 The humidity control device 230 may be controlled according to the optimal humidity control model provided from, and the feed feeder 240 according to the optimal feeding amount control model provided from the optimal breeding model determination system 100 ) Can be controlled.

Hereinafter, another embodiment of the optimal feeding amount control model will be described in detail.

FIG. 13 is a conceptual diagram illustrating another process of extracting an optimal feeding amount control range different from that of FIG. 10, and FIG. 14 is a table diagram for explaining an example of a process of extracting the optimal feeding amount control range of FIG. 13, 15 is a conceptual diagram illustrating a process of controlling a target delivery center system according to an optimal feeding amount control model determined differently from FIG. 12.

13 to 15, the feed feeder 240 included in the target delivery company system 200 includes a piglet feeder 242 that supplies feed to the piglets and a sow feeder that supplies feed to the sows ( 244).

The optimal feeding amount control model may include an optimal piglet feeding amount control model for controlling the piglet feeder 242, and an optimal sow feeding amount control model for controlling the sow feeding device 244. have.

The optimal piglet feeding amount control model may include an optimal piglet feeding amount control range extracted by the first optimal piglet feeding amount range and the second optimal piglet feeding amount range. For example, the optimal piglet feeding amount control range may be a range corresponding to an intersection of the first optimal feeding amount range and the second optimal feeding amount range.

In addition, the optimal sow feeding amount control model may include an optimal sow feeding amount control range extracted by the third optimal sow feeding amount range. For example, the optimal sow feeding amount control range may be the same range as the third optimal sow feeding amount range.

As described above, according to the present embodiment, after the optimal breeding model determination system 100 comprehensively analyzes the delivery shed monitoring data each received from the monitoring delivery shed system 10 to determine the optimal breeding model, the target delivery shed system ( As provided in 200), the target delivery shed system 200 may manage the target delivery shed in an optimal state according to the optimal breeding model.

In the detailed description of the present invention described above, it has been described with reference to preferred embodiments of the present invention, but those skilled in the art or those of ordinary skill in the art will have the spirit of the present invention described in the claims to be described later. And it will be appreciated that various modifications and changes can be made to the present invention within a range not departing from the technical field.

10: monitoring delivery company system
100: Optimal breeding model determination system
110: database unit
120: Optimal breeding model determination unit
200: target delivery company system
210: control device 220: temperature control device
230: humidity control device 240: feed feeder
242: piglet feeding 244: sow feeding

Claims (15)

In the method for determining the optimal breeding model performed by a computer system,
Receiving at least one delivery center monitoring data from at least one monitoring delivery center system each arranged in at least one delivery center to be monitored; And
Integrating and analyzing the delivery center monitoring data to determine an optimal breeding model to be provided to at least one target delivery center system disposed in each of the at least one target delivery center,
The delivery house monitoring data is
Temperature monitoring data for three weeks of temperature at each delivery house;
Humidity monitoring data for 3 weeks of humidity at each delivery house; And
Includes feeding volume monitoring data on feeding volume for 3 weeks at each delivery house,
The average weight when multiple piglets entering the delivery center are reared for 3 weeks and then discharged is defined as'reasonable weight',
The number of piglets that have entered the birthing house is defined as'number of reasons why' when a plurality of piglets are raised for 3 weeks and then survived and discharged.
When defining the number of days from the point of time when sows that have entered the delivery center to breeding for 3 weeks and being discharged to the date of pregnancy again as'recursive estrus date',
The temperature monitoring data is
Base temperature-weaning weight data representing the weaning weight according to the temperature for 3 weeks in each delivery house;
Base temperature-number of weaning heads data representing the number of weaning heads according to the temperature for 3 weeks in each delivery house; And
Including the basic temperature-recursive estrus date data representing the recursive estrus date according to the temperature for 3 weeks in each delivery house,
The humidity monitoring data is
Basic humidity-weaning weight data representing the weaning weight according to the humidity for 3 weeks in each delivery house;
Basic humidity-number of weaning heads data representing the number of weaning heads according to humidity for 3 weeks in each delivery house; And
Including basic humidity-recursive estrus date data indicating the recursive estrus day according to the humidity for 3 weeks in each delivery house,
The feeding amount monitoring data is
Basic feeding amount-weaning weight data representing the weaning weight according to the feeding amount for 3 weeks in each delivery company;
Basic feeding amount-number of reason heads data indicating the number of weaning heads according to the feed amount for 3 weeks in each delivery house; And
Including the basic feeding amount-recursive estrus date data indicating the recursive estrus date according to the feeding amount for 3 weeks in each delivery house,
The optimal breeding model is
An optimum temperature control model determined through integrated analysis of the temperature monitoring data;
An optimal humidity control model determined through integrated analysis of the humidity monitoring data; And
Includes an optimal feeding amount control model determined through the integrated analysis of the feeding amount monitoring data,
The optimal temperature control model is
The base temperature-the optimal temperature-reasonable body weight model extracted through the integrated analysis of the base temperature-reasonable body weight data, the optimal temperature-reasonable head-number model extracted through the integrated analysis of the base temperature-reasonable body weight data, and the base temperature-recursive estrus date It is extracted using the optimal temperature-recursive estrus date model extracted through the integrated analysis of the data,
The optimum temperature-differentiated body weight model is
Includes the first optimal temperature range that can derive the integrated optimal weaning weight according to temperature in the delivery house,
The optimal temperature-number of reasons model is
It includes a second optimal temperature range that can derive the integrated optimal number of weanings according to temperature in the delivery house,
The optimum temperature-recursive heat model is
It includes a third optimal temperature range that can derive an integrated optimal recursive estrus date according to temperature,
The optimal temperature control model is
The first optimum temperature range, the second optimum temperature range, and the optimum temperature control range extracted by the third optimum temperature range,
The optimal humidity control model is
The basic humidity-the optimal humidity-reasonable body weight model extracted through the integrated analysis of the basic humidity-reasonable body weight data, the optimum humidity-reasonable head-number model extracted through the integrated analysis of the basic humidity-reasonable body weight data, and the basic humidity-recursive estrus date It is extracted using the optimal humidity-recursive estrus date model extracted through the integrated analysis of the data,
The optimum humidity-different body weight model is
Including the first optimal humidity range that can derive the integrated optimal weaning weight according to the humidity in the delivery house,
The optimal humidity-number of reasons model is
It includes a second optimal humidity range that can derive the integrated optimal number of weaning heads according to humidity in the delivery house,
The optimal humidity-recursive heat model is
Including a third optimal humidity range that can derive an integrated optimal recursive estrus date according to humidity in the delivery house,
The optimal humidity control model is
The first optimum humidity range, the second optimum humidity range, and the optimum humidity control range extracted by the third optimum humidity range,
The optimal feeding amount control model is
The optimal feeding amount-reasonable weight model extracted through the integrated analysis of the basic feeding amount-reasonable weight data, the optimal feeding amount-reasonable head number model extracted through the integrated analysis of the basic feeding amount-reasonable body weight data, And the optimal feeding amount-recursive estrus date model extracted through the integrated analysis of the basic feeding amount-recursive estrus date data,
The optimal feeding amount-different weight model is
Including the first optimal feeding amount range that can derive the integrated optimal weaning weight according to the feeding amount in the delivery company,
The optimal feeding amount-number of reasons and heads model is
It includes the second optimal feeding amount range that can derive the integrated optimal number of weanings according to the feeding amount in the delivery company,
The optimal feeding amount-recursive estrus date model is
It includes the third optimal feeding amount range that can derive the integrated optimal recursive estrus date according to the feeding amount in the delivery company,
The optimal feeding amount control model is
And an optimal feeding amount control range extracted by the first optimal feeding amount range, the second optimal feeding amount range, and the third optimal feeding amount range. delete delete delete The method of claim 1,
The optimum temperature control range is
And a temperature range corresponding to an intersection of the first optimum temperature range, the second optimum temperature range, and the third optimum temperature range. delete delete The method of claim 1,
The optimum humidity control range is
And a humidity range corresponding to an intersection of the first optimal humidity range, the second optimal humidity range, and the third optimal humidity range. delete delete The method of claim 1,
The optimal feeding amount control range is
The method of determining an optimal breeding model, characterized in that it is a feeding amount range corresponding to an intersection of the first optimal feeding amount range, the second optimal feeding amount range, and the third optimal feeding amount range. The method of claim 1,
The feed feeder in the target delivery company system
Including a piglet feeder that feeds the piglets and a sow feeder that feeds the sows,
The optimal feeding amount control model is
An optimal piglet feeding amount control model for controlling the piglet feeding period; And
Optimal breeding model determination method, characterized in that it comprises an optimal sow feeding amount control model for controlling the sow feeding period. The method of claim 12,
The optimal piglet feeding amount control model
An optimal breeding model determination method comprising an optimal piglet feeding amount control range corresponding to an intersection of the first optimal feeding amount range and the second optimal feeding amount range. The method of claim 12,
The optimal sow feeding amount control model
Optimal breeding model determination method, characterized in that it comprises an optimal sow feeding amount control range corresponding to the third optimal feeding amount range. A database unit configured to receive and store at least one delivery center monitoring data from at least one monitoring delivery center system each disposed in at least one delivery center to be monitored; And
An optimal breeding model determination unit that integrates and analyzes the delivery center monitoring data to determine an optimal breeding model to be provided to at least one target delivery center system disposed in each of the at least one target delivery center,
The delivery house monitoring data is
Temperature monitoring data for three weeks of temperature at each delivery house;
Humidity monitoring data for 3 weeks of humidity at each delivery house; And
Includes feeding volume monitoring data on feeding volume for 3 weeks at each delivery house,
The average weight when multiple piglets entering the delivery center are reared for 3 weeks and then discharged is defined as'reasonable weight',
The number of piglets that have entered the birthing house is defined as'number of reasons why' when a plurality of piglets are raised for 3 weeks and then survived and discharged.
When defining the number of days from the point of time when sows that have entered the delivery center to breeding for 3 weeks and being discharged to the date of pregnancy again as'recursive estrus date',
The temperature monitoring data is
Base temperature-weaning weight data representing the weaning weight according to the temperature for 3 weeks in each delivery house;
Base temperature-number of weaning heads data representing the number of weaning heads according to the temperature for 3 weeks in each delivery house; And
Including the basic temperature-recursive estrus date data representing the recursive estrus date according to the temperature for 3 weeks in each delivery house,
The humidity monitoring data is
Basic humidity-weaning weight data representing the weaning weight according to the humidity for 3 weeks in each delivery house;
Basic humidity-number of weaning heads data representing the number of weaning heads according to humidity for 3 weeks in each delivery house; And
Including basic humidity-recursive estrus date data indicating the recursive estrus day according to the humidity for 3 weeks in each delivery house,
The feeding amount monitoring data is
Basic feeding amount-weaning weight data representing the weaning weight according to the feeding amount for 3 weeks in each delivery company;
Basic feeding amount-number of reason heads data indicating the number of weaning heads according to the feed amount for 3 weeks in each delivery house; And
Including the basic feeding amount-recursive estrus date data indicating the recursive estrus date according to the feeding amount for 3 weeks in each delivery house,
The optimal breeding model is
An optimum temperature control model determined through integrated analysis of the temperature monitoring data;
An optimal humidity control model determined through integrated analysis of the humidity monitoring data; And
Includes an optimal feeding amount control model determined through the integrated analysis of the feeding amount monitoring data,
The optimal temperature control model is
The base temperature-the optimal temperature-reasonable body weight model extracted through the integrated analysis of the base temperature-reasonable body weight data, the optimal temperature-reasonable head-number model extracted through the integrated analysis of the base temperature-reasonable body weight data, and the base temperature-recursive estrus date It is extracted using the optimal temperature-recursive estrus date model extracted through the integrated analysis of the data,
The optimum temperature-differentiated body weight model is
Includes the first optimal temperature range that can derive the integrated optimal weaning weight according to temperature in the delivery house,
The optimal temperature-number of reasons model is
It includes a second optimal temperature range that can derive the integrated optimal number of weanings according to temperature in the delivery house,
The optimum temperature-recursive heat model is
It includes a third optimal temperature range that can derive an integrated optimal recursive estrus date according to temperature,
The optimal temperature control model is
The first optimum temperature range, the second optimum temperature range, and the optimum temperature control range extracted by the third optimum temperature range,
The optimal humidity control model is
The basic humidity-the optimal humidity-reasonable body weight model extracted through the integrated analysis of the basic humidity-reasonable body weight data, the optimum humidity-reasonable head-number model extracted through the integrated analysis of the basic humidity-reasonable body weight data, and the basic humidity-recursive estrus date It is extracted using the optimal humidity-recursive estrus date model extracted through the integrated analysis of the data,
The optimum humidity-different body weight model is
Including the first optimal humidity range that can derive the integrated optimal weaning weight according to the humidity in the delivery house,
The optimal humidity-number of reasons model is
It includes a second optimal humidity range that can derive the integrated optimal number of weaning heads according to humidity in the delivery house,
The optimal humidity-recursive heat model is
Including a third optimal humidity range that can derive an integrated optimal recursive estrus date according to humidity in the delivery house,
The optimal humidity control model is
The first optimum humidity range, the second optimum humidity range, and the optimum humidity control range extracted by the third optimum humidity range,
The optimal feeding amount control model is
The optimal feeding amount-reasonable weight model extracted through the integrated analysis of the basic feeding amount-reasonable weight data, the optimal feeding amount-reasonable head number model extracted through the integrated analysis of the basic feeding amount-reasonable body weight data, And the optimal feeding amount-recursive estrus date model extracted through the integrated analysis of the basic feeding amount-recursive estrus date data,
The optimal feeding amount-different weight model is
Including the first optimal feeding amount range that can derive the integrated optimal weaning weight according to the feeding amount in the delivery company,
The optimal feeding amount-number of reasons and heads model is
It includes the second optimal feeding amount range that can derive the integrated optimal number of weanings according to the feeding amount in the delivery company,
The optimal feeding amount-recursive estrus date model is
It includes the third optimal feeding amount range that can derive the integrated optimal recursive estrus date according to the feeding amount in the delivery company,
The optimal feeding amount control model is
And an optimal feeding amount control range extracted by the first optimal feeding amount range, the second optimal feeding amount range, and the third optimal feeding amount range.

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