KR20180105451A - Apparatus for controlling livestock breeding environment and method for the same - Google Patents

Abstract

According to an embodiment of the present invention, provided is an apparatus for controlling livestock breeding environments, which comprises: a monitoring unit analyzing sensor information and image information and collecting comprehensive housing information; a storage unit storing general housing information; a prediction model development unit analyzing the correlation between the breeding environments of the livestock and breeding results from the information accumulated in the storage unit to develop a breeding result prediction model; a breeding environment setting value determination unit determining a breeding environment setting value optimized for a predetermined breeding mode using the breeding result prediction model; and a breeding environment control unit controlling the breeding environment depending on the determined breeding environment setting value; and a control unit controlling the environment of the livestock. An object of the present invention is to provide the apparatus for controlling the livestock breeding environments, and a control method therefor, wherein the apparatus collects the environment information of a housing, biometric information of the livestock and shipment livestock information, and establishes the breeding result prediction model using an artificial neural network based on the collected information.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus and a method for controlling a living environment of a livestock,

The present invention relates to an apparatus and method for controlling a breeding environment using information accumulated in a barn.

Conventional housing complex environmental control system monitors the environmental information and manually controls the environment by inputting environment setting values in accordance with the advice of experts such as livestock construction tents. Thus, by controlling the environment by relying on external experts, procedural hassles and additional costs arise. In addition, since it does not accurately reflect the situation of local breeding, it can not provide optimal breeding environment, and productivity and quality do not reach the level of advanced countries.

In addition, the energy cost according to the set target value is not considered, and the environmental control function for maintaining the maximum productivity and quality at the minimum cost is insufficient.

Therefore, it is necessary to establish a housing environment control model based on the environmental information of the housing, the living body information of the living animal and the shipment livestock information, and to control the housing environment automatically using the established housing environment control model. And, through the production and quality prediction model and the energy cost estimation model, there is a need for an economical rearing environment control system that supports maximum productivity at minimum cost.

The above-described background technology is technical information that the inventor holds for the derivation of the present invention or acquired in the process of deriving the present invention, and can not necessarily be a known technology disclosed to the general public prior to the filing of the present invention.

Korean Patent Publication No. 10-2010-0137312

An object of the present invention is to provide an apparatus and method for controlling a living environment of a livestock by collecting environment information of a housing, biometric information of a livestock and shipment livestock information, establishing a breeding result prediction model using an artificial neural network based on the collected information, Method.

It is another object of the present invention to provide an apparatus and method for controlling the breeding environment of a livestock by determining an optimal breeding environment setting value using the established breeding result prediction model.

One embodiment of the present invention is a monitoring system comprising: a monitoring unit for analyzing sensor information and image information and collecting comprehensive housing information; A storage unit for storing the general housing information; A prediction model generation unit for generating a breeding result prediction model by analyzing a correlation between the breeding environment and the breeding result of the livestock from the information accumulated in the storage unit; A breeding environment setting value determiner for determining a breeding environment setting value optimized for a predetermined breeding mode using the breeding result prediction model; And a breeding environment control unit for controlling the breeding environment according to the determined breeding environment setting value; And a control device for controlling the environment for raising livestock.

According to the present invention, an apparatus and method for controlling a breeding environment of a livestock collect environmental information of a housing, biometric information of a livestock, and shipment livestock information, and use the artificial neural network based on the collected information to predict a breeding result A model can be established, and the breeding situation of the housing can be more accurately reflected.

The present invention also provides an apparatus and method for controlling the environment for raising livestock to determine an optimal raising environment setting value by using a raising result prediction model, thereby enabling efficient livestock raising.

FIG. 1 is a block diagram showing an apparatus 100 for controlling a living environment of a livestock according to an embodiment of the present invention.
2 is a flowchart illustrating a method of controlling a breeding environment of a livestock according to an embodiment of the present invention.
3 is a flowchart illustrating a method of controlling a breeding environment of a livestock according to another embodiment of the present invention.
FIG. 4 is an operational flowchart illustrating an example of collecting the aggregate housing information shown in FIG. 2 (S201).

The present invention is capable of various modifications and various embodiments, and specific embodiments are illustrated and described in the drawings. The effects and features of the present invention and methods of achieving them will be apparent with reference to the embodiments described in detail below with reference to the drawings. Hereinafter, a repeated description, a known function that may obscure the gist of the present invention, and a detailed description of the configuration will be omitted. Embodiments of the present invention are provided to more fully describe the present invention to those skilled in the art. Accordingly, the shapes and sizes of the elements in the drawings and the like can be exaggerated for clarity.

However, the present invention is not limited to the embodiments described below, but all or some of the embodiments may be selectively combined and implemented in various forms. In the following embodiments, the terms first, second, and the like are used for the purpose of distinguishing one element from another element, not the limitative meaning. Also, the singular expressions include plural expressions unless the context clearly dictates otherwise. Also, the terms include, including, etc. mean that there is a feature, or element, recited in the specification and does not preclude the possibility that one or more other features or components may be added.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals refer to like or corresponding components throughout the drawings, and a duplicate description thereof will be omitted .

FIG. 1 is a block diagram showing an apparatus 100 for controlling a living environment of a livestock according to an embodiment of the present invention.

Referring to FIG. 1, an apparatus 100 for controlling a living environment of a domestic animal according to an embodiment of the present invention includes a controller 110, a memory 120, a monitoring unit 130, a storage unit 140, A breeding environment setting value determiner 160, a breeding environment controller 170, and the like.

In detail, the control unit 110 is a kind of central processing unit that controls the whole process of controlling the breeding environment of the livestock. That is, the control unit 110 analyzes the information collected by the monitoring unit 130, reads the information stored in the storage unit 140, and outputs the information to the prediction model generation unit 150, the breeding environment setting value determination unit 160, The breeding environment control unit 170 and the like to provide various functions.

Here, the control unit 110 may include any kind of device capable of processing data, such as a processor. Herein, the term " processor " may refer to a data processing apparatus embedded in hardware, for example, having a circuit physically structured to perform a function represented by a code or an instruction contained in the program. As an example of the data processing apparatus built in hardware, a microprocessor, a central processing unit (CPU), a processor core, a multiprocessor, an application-specific integrated circuit (ASIC) circuit, and a field programmable gate array (FPGA), but the scope of the present invention is not limited thereto.

The memory 120 performs a function of temporarily or permanently storing data processed by the controller 110. Here, the memory 120 may include magnetic storage media or flash storage media, but the scope of the present invention is not limited thereto.

The monitoring unit 130 collects the general housing information corresponding to the barn to be controlled by the apparatus 100 for controlling the breeding environment of the livestock.

Here, the monitoring unit 130 may be a device including hardware and software necessary for transmitting / receiving sensor information, image information, and the like through a wired / wireless connection with other network devices.

At this time, the comprehensive housing information may include air environment information and livestock intake information collected using sensor information and the like. Here, the air environment information may include temperature, humidity, illuminance, carbon dioxide concentration, ammonia concentration, hydrogen sulfide concentration, dust amount, and the like. And, the livestock intake information may include the water intake and the feed intake of the livestock.

In addition, the general housing information may include livestock state information collected using sensor information and image information. Herein, the livestock state information may include livestock behavior, utterance, body temperature, body weight, and status of the body.

Particularly, when collecting animal status information using image information, image recognition technology and image processing technology can be used.

The aggregate housing information may include shipment livestock information corresponding to the livestock shipped from the house. Here, the shipment livestock information may include the weight of the livestock to be shipped, the status of each livestock, and quality.

The storage unit 140 stores the general housing information collected by the monitoring unit 100.

That is, the storage unit 140 may store the air environment information, the livestock intake amount information, the livestock state information, and the shipment livestock information collected by the monitoring unit 130.

The prediction model generation unit 150 generates a breeding result prediction model by analyzing the correlation between the breeding environment of the livestock and the breeding result of the livestock from the comprehensive housing information accumulated in the storage unit 140.

Here, the breeding result prediction model includes a bio-state prediction model, a production amount, and a quality prediction model. The biological state prediction model is a model for predicting livestock living conditions in a given breeding environment based on the correlation analysis between the livestock breeding environment and the livestock living condition. The production and quality prediction model is a model for predicting the production and quality of livestock in a given breeding environment based on the correlation analysis between the breeding environment of livestock and the production and quality of livestock.

At this time, the breeding environment of the livestock can be derived from the information of the air environment and the livestock intake, and the result of raising the livestock can be derived from the livestock status information and the shipment livestock information.

In particular, the predictive model generation unit 150 can generate a suitable breeding result prediction model by changing the weight through data mining and learning using the artificial neural network.

And, if there is a prediction model of the breeding result generated from the previously stored comprehensive housing information, the prediction model of the breeding result can be modified by reflecting the new comprehensive housing information.

The breeding environment setting value determiner 160 determines a breeding environment setting value optimized for a predetermined breeding mode by using the production result prediction model generated by the prediction model generating unit 150. [ Here, the breeding environment setting value includes a setting value for the air environment of the housing and a setting value for the amount of the living animal.

In this case, the breeding mode may include a mode that prioritizes the living body's livestock, a mode that prioritizes the livestock production, a mode that prioritizes the quality of the livestock, a mode that minimizes the operating cost, and a mode that maximizes profit.

In particular, the breeding environment setting value determiner 160 may calculate the breeding environment setting target that is optimized for the predetermined breeding mode by utilizing the biological state prediction model. Here, the breeding environment setting target value is the target value of the breeding environment setting value temporarily calculated, and the breeding environment setting value can be finally determined after the verification of the target value. And, it can calculate the estimated profit under the target of setting the rearing environment calculated using the production amount and quality prediction model, and can calculate the additional cost including the energy cost and the feed cost required to achieve the calculated rearing environment setting target . A comparison of the estimated revenues with the additional costs can determine the breeding environment setting corresponding to the breeding environment setting target.

For example, when the breeding mode is set to prioritize the living body state of the livestock, a breeding environment setting target value that maximizes the living body state of the livestock is set by utilizing the living body state prediction model. And, we estimate the production volume and quality of livestock based on the target state of the livestock and the breeding environment using the production quantity and quality prediction model. The additional costs, including the energy and feed costs required to control the breeding environment to meet the breeding environment setting goals, are calculated. Estimated revenues based on predicted production and quality of livestock can be calculated, and breeding environment settings corresponding to the breeding environment setting goals can be determined through comparison with additional costs.

At this time, in determining the breeding environment setting value, a model for calculating the cost and profit based on the price information of the energy and the price information of the livestock product can be used.

The breeding environment control unit 170 controls the breeding environment so as to correspond to the breeding environment setting value for which the breeding environment of the barn is determined.

That is, the breeding environment can be controlled to adjust the temperature, humidity, illuminance, dust amount, carbon dioxide concentration, ammonia concentration and hydrogen sulfide concentration of the housing according to the determined breeding environment setting value. The breeding environment can also be controlled to adjust the amount of water and feed provided to the livestock according to the determined breeding environment setting.

Here, in order to control the breeding environment, control signals can be transmitted to the air conditioner, the ventilator, the humidifier, the lighting, the air purifier, the water feeder, and the feeder.

Accordingly, it is possible to effectively adjust the environment for raising livestock in accordance with a preset breeding mode. In addition, economic efficiency can be achieved by considering cost and profit in controlling the breeding environment. In addition, all processes can be done automatically, which is economical and efficient.

2 is a flowchart illustrating a method of controlling a breeding environment of a livestock according to an embodiment of the present invention.

Referring to FIG. 2, a method for controlling a breeding environment of a livestock according to an embodiment of the present invention includes a method for controlling a breeding environment of a livestock (refer to 100 in FIG. 1) (S201).

Here, the aggregate housing information may include air environment information, information on the amount of intake of the livestock, information on the state of the livestock, information on the shipment livestock, and the like.

In addition, a method for controlling the breeding environment of a livestock according to an embodiment of the present invention stores the collected comprehensive housing information (S203).

The stored aggregate housing information may be accumulated and then used to generate a prediction model related to the rearing result.

In addition, a method for controlling the breeding environment of a livestock according to an embodiment of the present invention includes generating a breeding result prediction model using cumulative integrated housing information (refer to 100 in FIG. 1) (S205).

Here, the breeding result prediction model includes a bio-state prediction model, a production amount, and a quality prediction model. The biological state prediction model is a model for predicting livestock living conditions in a given breeding environment based on the correlation analysis between the livestock breeding environment and the livestock living condition. The production and quality prediction model is a model for predicting the production and quality of livestock in a given breeding environment based on the correlation analysis between the breeding environment of livestock and the production and quality of livestock.

Particularly, it is possible to generate a breeding result prediction model through data mining, knowledge and learning process using the artificial neural network for the accumulated aggregate housing information.

In addition, the method for controlling the breeding environment of a livestock according to an embodiment of the present invention includes a method of controlling a breeding environment of a livestock (refer to 100 in FIG. 1) A corresponding breeding environment setting target value can be calculated (S207).

Here, the breeding result prediction model to be used may be the biological state prediction model, the production amount and the quality prediction model, or both the biological state prediction model, the production amount and the quality prediction model.

In this case, the breeding mode may include a mode that prioritizes the living body's livestock, a mode that prioritizes the livestock production, a mode that prioritizes the quality of the livestock, a mode that minimizes the operating cost, and a mode that maximizes profit.

In addition, a method for controlling the breeding environment of a livestock according to an embodiment of the present invention is a method for controlling the breeding environment of a livestock according to the production amount and quality predicted under the calculated breeding environment setting target value The estimated profit is calculated (S209).

In addition, a method for controlling the breeding environment of a domestic animal according to an embodiment of the present invention includes a method for controlling a breeding environment of a domestic animal (see 100 in FIG. 1) (S211). ≪ / RTI >

Here, the cost may include the energy cost consumed for controlling the breeding environment and the animal feed cost.

In addition, the method for controlling the breeding environment of a livestock according to an embodiment of the present invention is a method for controlling a breeding environment of a livestock (refer to 100 in FIG. 1) And determines a breeding environment setting value (S213).

For example, when the expected profit at the specific rearing environment setting target value exceeds the cost significantly and is not effective, the rearing environment setting target value can be determined as the rearing environment setting value. However, in the case that the cost is expected to be higher than the expected profit in other specific breeding environment setting target value, the breeding environment setting value can be determined by partially modifying the breeding environment setting target value when the effectiveness is lowered.

In addition, a method for controlling the breeding environment of a livestock according to an embodiment of the present invention is a method for controlling a breeding environment of a livestock according to an embodiment of the present invention, (S215). ≪ / RTI >

Here, in order to control the breeding environment, an air conditioner, a fan, a humidifier, a light, an air purifier, a water feeder, and a feeder may be used.

Accordingly, it is possible to effectively adjust the environment for raising livestock in accordance with a preset breeding mode. In addition, economic efficiency can be achieved by considering cost and profit in controlling the breeding environment. In addition, all processes can be done automatically, which is economical and efficient.

In an alternative embodiment, in step S201, S203, S205, S207, S209, S211, S213, and S215, a step S213 of calculating the estimated cost is performed first and a step S211 ) Can be performed.

In an alternative embodiment, the step of calculating the expected profit (S211) and the step of calculating the estimated cost (S213) in the steps (S201, S203, S205, S207, S209, S211, S213 and S215) Lt; / RTI >

In an alternative embodiment, in steps S201, S203, S205, S207, S209, S211, S213, and S215, the steps S211 and S213 for calculating the estimated profit and cost may include calculating a breeding environment setting target value May be performed in parallel with step S207. That is, when setting the breeding environment target value, the expected cost and profit can be reflected in advance.

3 is a flowchart illustrating a method of controlling a breeding environment of a livestock according to another embodiment of the present invention.

Referring to FIG. 3, a method for controlling a breeding environment of a livestock according to an embodiment of the present invention includes a method for controlling a breeding environment of a livestock (see 100 in FIG. 1) (S301).

In addition, a method for controlling the breeding environment of a livestock according to an embodiment of the present invention stores the collected comprehensive housing information (step S303).

In addition, a method for controlling a living environment of a livestock according to an embodiment of the present invention includes the steps of generating a living body state prediction model using cumulative integrated housing information (see 100 in FIG. 1) (S305).

In addition, a method for controlling the breeding environment of a livestock according to an embodiment of the present invention is a method for controlling a living environment of a livestock (refer to 100 in FIG. 1) The breeding environment setting target value can be calculated in step S307.

In addition, a method for controlling the breeding environment of a livestock according to an embodiment of the present invention is a method for controlling a breeding environment of a livestock (refer to 100 in FIG. 1) (S309).

In addition, a method for controlling the breeding environment of a livestock according to an embodiment of the present invention is a method for controlling the breeding environment of a livestock according to the production amount and quality predicted under the calculated breeding environment setting target value The estimated profit is calculated (S311).

In addition, a method for controlling the breeding environment of a domestic animal according to an embodiment of the present invention includes a method for controlling a breeding environment of a domestic animal (see 100 in FIG. 1) (S313). ≪ / RTI >

In addition, the method for controlling the breeding environment of a livestock according to an embodiment of the present invention is a method for controlling a breeding environment of a livestock (refer to 100 in FIG. 1) The breeding environment setting value is determined (S315).

In addition, a method for controlling the breeding environment of a livestock according to an embodiment of the present invention is a method for controlling a breeding environment of a livestock according to an embodiment of the present invention, (S317).

In an alternative embodiment, step S315 of calculating the estimated cost is performed first in the steps S301, S303, S305, S307, S309, S311, S313, S315 and S317, (S313) may be performed.

In an alternative embodiment, in steps S310, S303, S305, S307, S309, S311, S313, S315 and S317, step S313 of calculating the expected profit and step S315 of calculating the expected cost Can be performed in parallel.

FIG. 4 is an operational flowchart illustrating an example of collecting the aggregate housing information shown in FIG. 2 (S201).

Referring to FIG. 4, in step S201 of collecting the aggregate housing information shown in FIG. 2, the monitoring unit 130 (see FIG. 1) collects the air environment information using the sensor information (S401).

Here, the air environment information may include temperature, humidity, illuminance, carbon dioxide concentration, ammonia concentration, hydrogen sulfide concentration, dust amount, and the like.

In step S201 of collecting the aggregate housing information shown in FIG. 2, the monitoring unit 130 (see FIG. 1) collects the livestock intake amount information using the sensor information (S403).

Here, the livestock intake information may include a water intake and a feed intake of livestock.

In step S201 of collecting the aggregate housing information shown in FIG. 2, the monitoring unit 130 (see FIG. 1) collects the state information of the cattle using the sensor information and the image information (S405).

Herein, the livestock state information may include livestock behavior, utterance, body temperature, body weight, and status of the body. In order to collect information, image recognition technology, image extraction technology, or image conversion technology can be used for image information.

In step S201 of collecting the aggregate housing information shown in Fig. 2, the monitoring unit 130 (see Fig. 1) collects the shipment livestock information (S407).

Here, the shipment livestock information may include the weight of the livestock shipped, the condition and quality of each shipment, and the like. The shipment livestock information can be input by the person in charge or received the evaluation result of the quality evaluated in the shipping process.

In an alternative embodiment, the step (S401) of collecting the air environment information and the step (S403) of collecting the livestock intake amount information may be performed in parallel in the steps (S401, S403, S405 and S407).

In an alternative embodiment, in steps S401, S403, S405, and S407, the step of collecting the livestock intake amount information (S403) is performed first, and the step S401 of collecting the air environment information may be performed .

In an alternative embodiment, collecting livestock intake information (S403) and collecting livestock status information (S405) may be performed in parallel in the steps (S401, S403, S405, and S407).

In an alternative embodiment, in steps S401, S403, S405, and S407, the step of collecting the livestock state information (S405) is performed first, and the step of collecting the livestock intake amount (S403) may be performed .

In an alternative embodiment, collecting livestock state information (S405) and collecting shipment livestock information (S407) may be performed in parallel in the steps (S401, S403, S405, and S407).

In an alternative embodiment, in steps S401, S403, S405, and S407, the step of collecting the shipment livestock information (S407) may be performed first, and the step of collecting the livestock status information (S405) may be performed .

The embodiments of the present invention described above can be implemented in the form of program instructions that can be executed through various computer components and recorded in a computer-readable recording medium. The computer-readable recording medium may include program commands, data files, data structures, and the like, alone or in combination. The program instructions recorded on the computer-readable recording medium may be those specifically designed and configured for the present invention or may be those known and used by those skilled in the computer software arts. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROM and DVD, magneto-optical media such as floptical disks, medium, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code, such as those generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware device may be modified into one or more software modules for performing the processing according to the present invention, and vice versa.

The specific acts described in the present invention are, by way of example, not intended to limit the scope of the invention in any way. For brevity of description, descriptions of conventional electronic configurations, control systems, software, and other functional aspects of such systems may be omitted. Also, the connections or connecting members of the lines between the components shown in the figures are illustrative of functional connections and / or physical or circuit connections, which may be replaced or additionally provided by a variety of functional connections, physical Connection, or circuit connections. Also, unless explicitly mentioned, such as " essential ", " importantly ", etc., it may not be a necessary component for application of the present invention.

Accordingly, the spirit of the present invention should not be construed as being limited to the above-described embodiments, and all ranges that are equivalent to or equivalent to the claims of the present invention as well as the claims .

100: Device for controlling the environment for raising livestock
110: control unit 120: memory
130: monitoring unit 140:
150: prediction model generation unit 160: breeding environment setting value determination unit
170: Breeding environment controller

Claims (1)

A monitoring unit for analyzing sensor information and image information and collecting comprehensive housing information;
A storage unit for storing the general housing information;
A prediction model generation unit for generating a breeding result prediction model by analyzing a correlation between the breeding environment and the breeding result of the livestock from the information accumulated in the storage unit;
A breeding environment setting value determiner for determining a breeding environment setting value optimized for a predetermined breeding mode using the breeding result prediction model; And
A breeding environment control unit for controlling a breeding environment according to the determined breeding environment setting value;
And a control unit for controlling the living environment of the livestock.

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