KR20220025573A - Poultry supply and demand system - Google Patents

Abstract

The present invention relates to a poultry supply and demand system, wherein provided, in accordance with the present invention, is the poultry supply and demand system comprising: a distribution company terminal that receives the consumption information; a poultry house module that measures a weight, a feed amount, a water supply amount, and an environment of a poultry; and a supply and demand server that receives the consumption information from the distribution company terminal to derive the demand prediction information by receiving the data from the poultry house module, deriving the average weight and weight gain rate, and generating the predicted shipment information, and generates the shipment adjustment information when determined that the shipment adjustment is necessary by comparing the demand prediction information and the prediction shipment information. Therefore, the present invention is capable of developing the poultry industry.

Description

Poultry Demand and Supply System {POULTRY SUPPLY AND DEMAND SYSTEM}

The present invention relates to a poultry demand and supply system, and more particularly, by providing an intelligent-based poultry demand and supply platform, it is possible to systematically manage the demand and supply between poultry farms, distributors, feed companies, pharmaceutical companies, equipment companies, etc. It relates to a poultry demand and supply system that can develop the poultry industry by making it possible.

In general, poultry such as chickens and ducks raised for spawning or food are put into the poultry house of the farmer and raised as chicks, and then spawned or shipped out while being reared for a certain period of time.

At this time, the weight of the poultry is included among the factors determining the quality of the spawning product or the breeding product, because the size of the breeding product or the breeding product depends on the weight of the livestock. Therefore, the weight of the poultry is monitored periodically to manage the productivity.

As a weight measurement method, in the prior art, a person was directly put into a poultry house, caught each poultry, placed it on a scale, and measured the weight.

However, this method consumes a lot of manpower, there is a cumbersome to separate the measured poultry one by one, in particular, since there is a lot of movement due to the habit of poultry, there was a disadvantage in that it is difficult to accurately measure the weight when measuring the weight.

On the other hand, since the breeding environment also has a great influence on the laying rate or growth rate of poultry, environmental management factors such as temperature, humidity, carbon dioxide, ammonia, ventilation, and various facilities (other control equipment) in the poultry house work in a complex way, so that the It will determine the productivity (eg spawn rate or growth rate).

However, the current poultry houses rely on manual control methods, so it is difficult to maintain the house in an optimal state at all times, there is a disadvantage that a lot of labor is consumed, and there are limitations in preventing and coping with poultry diseases. It was difficult to secure productivity.

On the other hand, the supply and demand of poultry fluctuates greatly depending on the external environment, but there is no way to predict it in advance, so there are problems such as difficulty in stable supply due to insufficient supply compared to demand, or loss of farms due to insufficient demand compared to supply. there was.

In order to solve the above problems, the present invention provides an intelligent-based poultry demand and supply platform, so that the demand and supply between poultry farms, distributors, feed companies, pharmaceutical companies, equipment companies, etc. can be systematically managed and poultry It aims to provide a poultry supply and demand system that can develop the industry.

In order to solve the above problems, the poultry demand and supply system according to an embodiment of the present invention is a distributor terminal for receiving consumption information; A poultry house module that measures the weight, feed amount, water supply amount and environment of poultry, and receives data from the poultry house module, derives average weight and growth rate, generates predicted shipment information, and receives the consumption information from the distributor terminal It is possible to provide a poultry demand and supply system including a demand and supply server that receives and derives demand forecast information, compares the demand forecast information with the forecast shipment information, and generates shipment adjustment information when it is determined that shipment adjustment is necessary there is.

In addition, the distributor terminal is characterized in that it receives the predicted shipment information and receives the poultry order information and transmits it to the demand and supply server.

Here, the poultry house module is an IOT scale for measuring the weight of poultry and measuring bet environment data; an outdoor air sensor unit for measuring outdoor air environment data; Feeding amount measuring unit for measuring the amount of feeding; It may include an automatic control device for controlling the water supply amount measurement unit and the poultry house for measuring the water supply.

In addition, the IOT scale may include a weighing unit for measuring the weight of poultry and a betting sensor unit provided on one side of the weighing unit to measure bet environmental data.

In addition, the bet sensor unit includes at least one of a temperature sensor, a humidity sensor, a carbon dioxide sensor and an ammonia sensor, and the outdoor air sensor unit is a temperature sensor, a humidity sensor, a carbon dioxide sensor, an ammonia sensor, a wind direction sensor, a wind speed sensor, and a fine dust sensor. It may include more than one.

In addition, the feeding amount measurement unit is equipped with a load cell to measure the amount of food accommodated in the feeding device, measure the amount of food that changes according to the feeding, and calculate the amount to be fed according to the difference .

In addition, the poultry house device may include one or more of a feeding device, a water supply device, a heating device, a ventilation device, an air conditioner, a lighting device and a humidifying device.

In addition, the demand and supply server stores management reference data, and collects the weight data, environmental data (betting environment data and outdoor air environment data), feeding amount, water supply amount, and control history data received from the automatic control device. database to store; a weight derivation unit for deriving an average weight using a plurality of stored weight data; a growth rate deriving unit for deriving a growth rate through the feed amount and average weight; a control generation unit that generates optimal environment control information through an artificial intelligence environment control model that has learned big data and transmits it to the automatic control device; Generates predicted shipment information through the average weight, receives the consumption information from the arrival/delivery determination unit that generates necessary arrival/delivery information according to the predicted shipment information, and the distribution company terminal, derives demand forecast information, and predicts the demand It may include a distribution management unit that compares the information with the predicted shipment information and generates shipment adjustment information when it is determined that shipment adjustment is necessary.

In addition, when the shipment adjustment information is generated, the control generation unit generates the optimal environment control information by reflecting the shipment adjustment information, and when the stock/export/shipment determination unit determines that it is necessary to add the shipment according to the shipment adjustment information It is characterized in that necessary input information is generated.

In addition, the artificial intelligence environment control model is a normalization step of normalizing the collected average weight, growth rate, water supply amount, feed amount and environmental data; It is modeled through a correlation analysis step of analyzing the correlation between productivity and water supply, feeding amount and environmental data, and an optimization step of optimizing the correlation to derive a final model, and according to the average weight, growth rate and environmental data, the It is characterized in that the optimal environment control information is generated.

In addition, the correlation analysis step is a one-dimensional correlation analysis step of analyzing the 1:1 correlation between productivity, water supply, feeding amount, and environmental data, respectively; A quantification step of generating environmental change data by quantifying changes in environmental data according to the control history data, and productivity, water supply amount, feeding amount, environmental data, and control history data based on a one-dimensional correlation using the environmental change data It may include an n-dimensional correlation analysis step of analyzing one or more of the correlations.

In addition, the demand and supply server determines the amount of extra food according to the amount of feeding, and when the amount of extra food is less than a certain standard, the feed management unit and the control history data to generate and transmit food ordering information to the terminal of the feed company using the control history data It may further include one or more of the device management unit for determining whether the inspection of the poultry house equipment is necessary, and generating reception information according to whether the inspection is necessary and transmitting the information to the equipment company terminal.

In addition, the poultry house module further includes a camera for acquiring image data by photographing the inside of the poultry house, and the supply and demand server uses one or more of the environmental data, image data, average weight and growth rate to determine whether or not a disease occurs It may further include a drug management unit that determines whether or not a disease occurs, generates drug order information and transmits it to the drug company terminal.

The poultry demand and supply system according to the embodiment of the present invention as described above provides an intelligent-based poultry demand and supply platform, thereby systematically managing the demand and supply between poultry farms, distributors, feed companies, pharmaceutical companies, equipment companies, etc. By doing so, the poultry industry can be developed.

This can improve the productivity of poultry farms, and can reduce feed consumption, breeding costs, labor, etc.

In addition, it is possible to minimize unnecessary cost losses by reducing the inventory ratio, thereby maximizing profits and enabling stable supply.

1 is a block diagram showing a poultry supply and demand system according to an embodiment of the present invention.
Figure 2 is an exemplary view showing the weight measurement unit of the IOT scale of Figure 1.
3 is an exemplary view showing a state in which the weight measuring unit of the IOT scale of FIG. 1 is formed in a different shape;
4 is a cross-sectional view of the weight measuring unit of FIG. 3 ;
Fig. 5 is a block diagram illustrating the supply and demand server of Fig. 1;
6 is a flowchart schematically illustrating a process in which an artificial intelligence environment control model of a poultry supply and demand system according to an embodiment of the present invention is modeled.
7 is a flowchart sequentially illustrating S2 of FIG. 6;

Hereinafter, the description of the present invention with reference to the drawings is not limited to specific embodiments, and various modifications may be made and various embodiments may be provided. In addition, it should be understood that the contents described below include all transformations, equivalents, and substitutes included in the spirit and scope of the present invention.

In the following description, terms such as 1st, 2nd, etc. are terms used to describe various components, meanings are not limited thereto, and are used only for the purpose of distinguishing one component from other components.

Like reference numbers used throughout this specification refer to like elements.

As used herein, the singular expression includes the plural expression unless the context clearly dictates otherwise. In addition, terms such as "comprises", "comprises" or "have" described below are intended to designate the existence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification. It should be construed as not precluding the possibility of addition or existence of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

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

The poultry demand and supply platform for using the system in the present invention is preferably provided in a mobile communication terminal including a smart phone communicating through a wireless communication network, but may also be provided in a computer environment communicating through a wired communication network. Hereinafter, the description will be focused on the mobile communication terminal.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings 1 to 7 .

1 is a configuration diagram showing a poultry demand and supply system according to an embodiment of the present invention, FIG. 2 is an exemplary view showing a weight measurement unit of the IOT scale of FIG. 1, and FIG. 3 is the weight of the IOT scale of FIG. It is an exemplary view showing a state in which the measuring unit is formed in a different form, Fig. 4 is a cross-sectional view of the weight measuring unit of Fig. 3, Fig. 5 is a block diagram showing the supply and demand server of Fig. 1, and Fig. 6 is an embodiment of the present invention It is a flowchart schematically illustrating a process of modeling an artificial intelligence environment control model of a poultry supply and demand system according to an example, and FIG. 7 is a flowchart sequentially illustrating S2 of FIG. 6 .

The poultry demand and supply system according to an embodiment of the present invention is to provide a data-based artificial intelligent poultry demand and supply platform, so that the demand and supply of poultry can be made more systematically.

1, the poultry demand and supply system according to an embodiment of the present invention is a poultry house module (1), a poultry house device (2), a demand and supply server (3), a manager terminal (4), a distributor terminal (5), a feed company terminal 6, a facility company terminal 7 and a drug company terminal 8 may be included.

The poultry house module (1) is installed in the poultry house to measure and automatically control the status of the poultry house to enable unmanned automated poultry house implementation. It may include a unit 12 , a water supply measurement unit 13 , a chemical measurement unit 14 , a camera 15 , and an automatic control device 16 .

One or more IOT scales 10 are installed in the poultry house, and can measure the weight of poultry in real time, thereby acquiring a large number of weight data. In addition, it is possible to collect betting environment data.

To this end, the IOT scale 10 may include a weight measurement unit 100 and a bet sensor unit (not shown).

The weight measurement unit 100 is installed in the poultry house to measure the weight of poultry, and may transmit the measured weight data to the supply and demand server 3 .

The weight measurement unit 100 is formed to reflect the behavior of the poultry, so that the poultry itself can climb and measure the weight. It may include a 103a, a cell control unit 104a, and a cell supporter 105a. However, since this is only an embodiment of the present invention, the present invention is not limited thereto.

The cell plate 101a is a space for accommodating the poultry, and when the poultry is mounted on the cell plate 101a of the weighing unit 100, the weight may be measured.

In addition, the cell plate 101a may be formed in a circular plate shape, but since this is only an embodiment of the present invention, the present invention is not limited thereto.

The cell moving pipe 102a supports the cell plate 101a and may be moved up and down. To this end, the lower end of the cell moving pipe 102a is connected to the cell plate 101a to fix the cell plate 101a, and the upper end of the cell moving pipe 102a is connected to the cell controller 104a to move up and down. there is.

In addition, the upper end of the cell plate 101a may be inserted into the guide holder 103a and connected to the cell control unit 104a, where the guide holder 103a serves as a guide for vertical movement.

That is, when the poultry is raised on the cell plate 101a, the cell moving pipe 102a will go down to the lower side. At this time, the size of the cell moving pipe (102a) going down to the lower side varies according to the weight of the poultry.

In addition, when the poultry is in the cell plate 101a and goes down, the cell moving pipe 102a rises upward and is positioned in place.

The guide holder 103a guides the movement of the cell movement pipe 102a and may fix the cell movement pipe 1a so that it does not shake.

In addition, the guide holder 103a has a hole formed in the center, so that the cell moving pipe 102a can move up and down along the hole.

The cell control unit 104a has a guide holder 103a and a cell moving pipe 102a connected to the lower side, and a load cell is provided to measure the weight according to the downward movement of the cell moving pipe 102a, and to receive the measured weight data. and to the supply server 3 .

That is, the cell moving pipe 102a moves downward according to the weight of the poultry, and the load cell increases and deforms as it moves downward. It is possible to measure the weight of the poultry in a way that can be derived from

At this time, the weight data represents the weight value of the poultry received from the weight measurement unit (100).

The cell support 105a has an upper end connected to the cell control unit 104a to support the cell control unit 104a, and may be installed on the ground inside the poultry house.

As another example, the weight measuring unit 100 may be formed as shown in FIGS. 3 and 4 .

3 and 4, the weight measuring unit 100 includes a food input unit 101b, a poultry receiving unit 102b, a feeding container 103b, a load cell 104b, a state detection module 105b, and a sterilization device. (not shown) and may include a flexible duct (106b).

The food input unit 101b may be formed in a cylindrical or polygonal shape as a central body forming a predetermined height, and may form a food input path 1010b in a vertical direction therein.

Here, the feeding path 1010b may form a branch line according to the number of the poultry receiving units 102b to be described later, and an on/off valve 1011b for opening and closing the line may be provided in each branch line.

The poultry receiving unit (102b) may provide a space into which only one poultry can be entered. To this end, a support plate (1020b) of an area where one poultry is to be seated is provided, and side walls (1021b) in the vertical direction can be erected to both sides of the support plate (1020b).

In addition, the poultry receiving portion (102b) may be provided in plurality along the perimeter of the feeding portion (101b), the door (1022b) to open or close the inside may be provided.

That is, a plurality of poultry receiving portions 102b along the periphery of the central body, food input portion 101b, form an arrangement at the same interval and in the same shape, and each shape is a support plate 1020b and two sidewalls 1021b ) is a structure in which the door 1022b opens or closes the poultry receiving space formed by.

At this time, the door 1022b preferably rotates upward to open and rotates downward to close, and can be shaft-connected to the food input unit 101b or both side walls 1021b, and can be rotated automatically. A motor (not shown) may be connected to one side of the shaft.

In addition, the door (1022b) may be provided with a transparent material to facilitate the observation of the inside of the housed poultry when closed.

Feeding container (103b) may be provided inside the poultry receiving portion (102b) so as to be connected to the feeding path (11b). That is, the feed may be divided and supplied to the connected feeding troughs 103b when feeding the feed to the feeding path 1010b.

The load cell 104b measures the weight of the poultry accommodated in the poultry accommodating unit 102b, and the state detection module 105b may sense the state of the poultry accommodated in the poultry accommodating unit 102b in real time.

A sterilizer (not shown) is a device that generates and supplies a sterilizer to prevent active oxygen species or other infectious diseases, and the flexible duct 17b is a connecting pipe connecting the sterilizer (not shown) and the door 1022b. can

If the condition of the poultry housed through the sterilizer and the flexible duct 17b is abnormal, if it is determined that it is due to a livestock disease, the demand and supply server 3 closes the door 1022b. It can be controlled to supply the sterilizing agent to the inside of the unit 102b.

When the weight measuring unit 100 is formed in this way, it is possible to determine a specific weight in the case of other animals entering through the weight data of the load cell 104b installed in the poultry receiving unit 102b that can only contain one poultry. , At this time, when the specific weight is determined through the supply and demand server 3, the door 1022b can be forcibly closed to catch the animal, etc., and to prevent damage to the poultry.

In addition, even when it is determined that the state of the poultry accommodated through the state detection module 105b is abnormal, the door 1022b is forcibly closed to capture and confirm the poultry.

The betting sensor unit is provided on one side of the weight measurement unit 100 to measure the betting environment of the poultry company in real time, so that the betting environment data can be obtained. At this time, a time period is set and measurement may be performed at regular time intervals, but this may be easily changed according to the setting.

Such a bet sensor unit may include one or more of a temperature sensor, a humidity sensor, a carbon dioxide sensor, and an ammonia sensor, but is not limited thereto, and may further include a variety of sensors.

Accordingly, the betting sensor unit may acquire one or more bet environment data of temperature, humidity, carbon dioxide and ammonia and transmit it to the supply and demand server 3 .

As such, by being provided with a betting sensor unit in the weight measuring unit 100 installed in the poultry house, it is possible to measure the betting environment from the point of view of the poultry, so that the environment of the poultry house can be more accurately controlled as a growth environment suitable for poultry.

In other words, since the difference in temperature and humidity measured according to the height in the poultry house is severe, it is necessary to measure the temperature and humidity at the location where the poultry is, that is, from the point of view of the poultry, to more accurately determine the growth environment that affects the poultry. that can be measured

The outdoor air sensor unit 11 may be installed in the poultry house to measure the outdoor air environment of the poultry house in real time to obtain outdoor air environment data. At this time, a time period is set and measurement may be performed at regular time intervals, but this may be easily changed according to the setting.

The outdoor air sensor unit 11 may include one or more of a temperature sensor, a humidity sensor, a carbon dioxide sensor, an ammonia sensor, a wind direction sensor, a wind speed sensor, and a fine dust sensor, but is not limited thereto, and may further include a variety of sensors. there is.

Accordingly, the outdoor air sensor unit 11 may acquire one or more outdoor air environment data among temperature, humidity, carbon dioxide, ammonia, wind direction, wind speed, and fine dust and transmit it to the supply and demand server 3 .

Feeding amount measurement unit 12 may be installed in the feeding device for supplying food to measure the amount of feeding.

At this time, the feeding amount measurement unit 12 is provided with a load cell, measures the amount of food (food weight) accommodated in the feeding device, and when a change in the food weight is detected according to the feeding, the changed amount of food By measuring (weight of food), the amount of feeding can be calculated by calculating the difference between the amount of food before the change and the amount of food after the change.

The amount of feeding measurement unit 12 may transmit the measured amount of feeding to the supply and demand server 3 in this way.

The water supply measurement unit 13 may be installed in a water supply device that supplies water to measure the water supply amount, and may transmit the measured water supply amount to the demand and supply server 3 .

The drug measurement unit 14 may be installed in a drug warehouse or a device that provides drugs, measure drug consumption, and transmit the measured drug consumption to the supply and demand server 3 .

The camera 15 may transmit the image data obtained by photographing the poultry house to the supply and demand server 3 . Through this, not only the manager can monitor the status of the poultry house in real time, but also the supply and demand server 3 can detect the occurrence of diseases, emergencies, etc. and quickly notify the manager.

The automatic control device 16 is to control the device 2 of the poultry house, so that the device 2 of the poultry house is automatically controlled according to the control value set by the manager terminal 4 or the manager, or the demand and supply server 3 ), it is possible to automatically control the device 2 of the poultry house according to the optimal environment control information received from.

In addition, the automatic control device 16 may transmit the control history data, which is the history information of controlling the device 2 of the poultry house as described above, to the supply and demand server 3 .

Here, the device 2 of the poultry house means all devices installed in the poultry house, and the operation may be controlled by the automatic control device 16 . For example, it may include one or more of a feeding device (feeding pump, feeding motor, etc.), a water supply device, a heating device, a ventilation device (fan, etc.), an air conditioner, a lighting device, and a humidifier (nebulizer, etc.). However, more various devices may be included.

The supply and demand server 3 may receive data from the poultry house module 1, where the data is weight data, environmental data (bet environmental data and outdoor environmental data), feeding amount, water supply amount, drug consumption, and product It may mean one or more of the history data, but is not limited thereto, and may mean all data transmitted from the poultry house module (1).

On the other hand, environmental data, feeding amount, water supply amount, drug consumption, control history data, etc. are collected in real time, that is, it can be called hourly data (data according to time).

In addition, it is preferable that the supply and demand server 3 derive the average weight and the growth rate at regular time intervals with the weight data and feeding amount collected for a certain period of time with a set time period, but is not limited thereto.

In addition, the supply and demand server 3 may derive an average weight and an increase rate using the received data and generate predicted shipment information. In addition, it is possible to receive the consumption information from the distribution company terminal 5, derive the demand forecast information, compare the demand forecast information with the forecast shipment information, and when it is determined that the shipment adjustment is necessary, the shipment adjustment information can be generated.

Referring to FIG. 5 , the supply and demand server 3 includes a database 30 , a weight derivation unit 31 , a growth rate derivation unit 32 , a control generation unit 33 , an input/output determination unit 34 , and distribution It may include a management unit 35 , a feed management unit 36 , a device management unit 37 , and a drug management unit 38 .

The database 30 may store management reference data, and may store collected weight data, environmental data, feeding amount, water supply amount, drug consumption amount, control history data, image data, and the like.

Here, the management reference data may include, but is not limited to, breeding management manual, shipment reference information, poultry house capacity information, disease determination information, and the like, and may include various information necessary for breeding poultry.

In addition, the database 30 may store average weight, growth rate, optimal environment control information, predicted shipment information, consumption information, demand forecast information, shipment adjustment information, and the like in real time.

In addition, the database 30 may store food ordering information, drug ordering information, poultry ordering information, and the like.

The weight derivation unit 31 may derive an average weight by using a plurality of stored weight data. Meanwhile, when preprocessing the collected weight data, weight data that has already been used is excluded from consideration.

As an example, the weight derivation unit 31 may derive the average weight of the poultry by densifying the collected multiple weight data in a statistical method using a histogram and a normal distribution.

More specifically, the weight derivation unit 31 pre-processes the weight data collected for a certain period in real time, accumulates the pre-processed weight data to generate a histogram according to the weight and frequency, and estimates the kernel density using a Gaussian filter in the histogram. is applied to estimate the smooth density function, and the average weight can be derived through the estimated smooth density function.

In this case, the weight derivation unit 31 may generate a histogram through Equation 1, and the x-axis of the generated histogram may be the weight, and the y-axis may be the frequency of the weight measured from the IOT scale 10 .

[Equation 1]

Here, x is the weight, n is the number of collected weight data, h is the width value of the Gaussian filter, Count(x) is the frequency number of x, and Width(X) is the size of the histogram bin. Moreover, as for h, 1 is preferable.

Also, the weight derivation unit 31 may estimate the smooth density function through Equation (2).

[Equation 2]

Here, x is the weight, h ^D is the width value in the histogram, P _KDE (x) is the density estimation result using the Gaussian filter corresponding to x, K is the Gaussian filter function, N is the Gaussian filter size, D is the size of the Gaussian filter A parameter for reflecting the size of the histogram bin in defining the width, xx ⁽ⁱ is the filter size to which the Gaussian filter is applied from filter sizes 1 to N based on x to be calculated.

In this case, K is the same as in Equation 3 below, may be 1, and N is preferably 49.

[Equation 3]

As described above, the reason N is defined as 49 is because the kernel size is 49 g, and the Gaussian average of the reference x-24 to x+24 is obtained and calculated as P _KDE (x) of x.

At this time, in the case of kernel density estimation, it can be regarded as the sum of the smooth bumps placed at the observation point (x-axis weight), the estimated smooth density function determines the shape of the peak, and h ^D is called the amplitude and determines the width. .

The above amplitude determines the overall graph shape and can play an important role in estimating the smooth density function. Accordingly, h ^D is preferably 1.

In addition, the weight derivation unit 31 determines the cluster, which is a section formed in a soaring shape in the smooth density function, selects the highest cluster (the cluster with the highest frequency) among the clusters, and obtains the maximum value of the highest cluster. It can be derived from the average weight of poultry.

As another example, the weight derivation unit 31 may derive the average weight by summing the weight data measured from two or more IOT scales 10 and dividing by the sum of the number of poultry accommodated in the two or more IOT scales 10 . This is one of the methods used when the IOT scale 10 is formed as a cage-type scale, but is not limited thereto.

The weight gain deduction unit 32 may derive the weight gain rate using the average weight derived from the weight deduction unit 31 and the received feed amount. In this case, the growth rate may be obtained through Equation 4 below.

[Equation 4]

Growth rate (%) = Average weight (g) / Feed amount (g) × 100

The control generating unit 33 may generate the optimal environment control information through the artificial intelligence environment control model that has learned the big data and transmit it to the automatic control device 16 .

Here, the artificial intelligence environment control model is modeled based on machine learning, and the artificial intelligence environment control model is based on supervised learning in more detail, but is not limited thereto.

The modeling process of the artificial intelligence environment control model will be described in more detail with reference to FIGS. 6 and 7 .

The artificial intelligence environment control model can be modeled through a normalization step (S1), a correlation analysis step (S2), and an optimization step (S3).

The normalization step (S1) is a step of normalizing the collected big data, and the collected average weight, growth rate, water supply amount, feeding amount and environmental data may be normalized. This is to further improve correlation analysis accuracy by removing the relative size difference for each data.

Correlation analysis step (S2) may analyze the correlation with productivity by using one or more of the normalized water supply amount, feeding amount, and environmental data.

Here, the productivity may be a growth rate or a spawn rate, and in the present invention, it can be said to be the same as a growth rate. Correlation analysis can be performed by using the collected growth rate as productivity.

More specifically, step S2 may include a one-dimensional correlation analysis step (S20), a quantification step (S21), and an n-dimensional correlation analysis step (S22).

The one-dimensional correlation analysis step (S20) may analyze a 1:1 correlation between productivity, water supply, food supply, and environmental data, respectively. At this time, the correlation may be analyzed for each element (bet temperature, humidity, etc.) included in the environmental data.

Here, the 1:1 correlation means that the correlation is analyzed on a 1:1 basis, such as the correlation between productivity and water supply, and the correlation between productivity and feed quantity.

The quantification step (S21) may generate environmental change data by quantifying the change in the environmental data according to the control history data. By quantifying how the environmental data has changed according to the history of controlling the device (2) of the poultry house, correlation analysis can be performed more accurately, and how to control the device (2) of the poultry house depending on what environmental conditions are to be adjusted to make an accurate judgment.

In the n-dimensional correlation analysis step (S22), one or more correlations among productivity, average weight, water supply, feeding amount, environmental data, and control history data can be analyzed based on one-dimensional correlation using environmental change data, respectively. there is.

The n-dimensional correlation referred to here means that the correlation between productivity, water supply, water supply, environmental data, and control history data is analyzed for n individual correlations.

For example, it can be said that productivity, the betting temperature of the environmental data, the correlation between the control history data, productivity, the amount of water supplied, the betting humidity of the environmental data, the correlation between the control history data, etc. are analyzed respectively.

In the optimization step (S3), by synthesizing and optimizing the analyzed correlations, a productivity correlation (final model) may be derived.

The control generating unit 33 may generate the optimal environment control information according to the average weight, the gain rate, and the environment data through the artificial intelligence environment control model modeled as described above.

In addition, the control generating unit 33 may generate the optimal environment control information through the artificial intelligence environment control model based on the management reference data by reflecting the expected shipment date or the demand forecast information through the manager terminal 4 .

In addition, the control generating unit 33 may generate the optimal environment control information through the artificial intelligence environment control model based on the management reference data by reflecting the shipment adjustment information so that shipment can be made in accordance with the generated shipment adjustment information.

By controlling the poultry house through the generated optimal environmental control information and raising poultry, it is possible to maximize the profit of the poultry farm.

The stock/shipment determination unit 34 may generate predicted shipment information through the average weight using the management reference data, and may generate necessary shipment information according to the predicted shipment information. The predicted shipment information and necessary input estimation information generated in this way may be transmitted to the manager terminal 4 and provided to the manager.

In addition, when it is determined that stocking/shipping is necessary according to the shipment adjustment information, the stocking/shipping determination unit 34 generates necessary stocking information and transmits it to the manager terminal 4 or the hatchery terminal (not shown) according to the necessary delivery information. Insertion can be made.

The distribution management unit 35 may receive the consumption information from the distribution company terminal 5 and derive the demand forecast information.

Here, the consumption information may include a consumption pattern and a consumption amount, but is not limited thereto.

In addition, the distribution management unit 35 may generate shipment adjustment information when it is determined that shipment adjustment is necessary by comparing the demand forecast information with the predicted shipment information derived from the input/output/shipment determination unit 34 .

As such, it is possible to minimize unnecessary cost loss by understanding the demand amount of consumers through the distribution management unit 35 and adjusting the shipment amount of poultry. In addition, since distributors can receive poultry according to their needs, a stable supply to consumers can be possible.

The food management unit 36 may determine the amount of extra food according to the amount of feeding, and when the amount of extra food is less than a predetermined standard, generate food ordering information and transmit it to the terminal 6 of the feed company. By judging the remaining amount of food according to a certain standard of the amount of extra food set by the manager and automatically proceeding with the ordering, the convenience of the manager can be improved.

However, since this is only an embodiment of the present invention, when the amount of extra food is less than a certain standard, a message such as 'replenishment of food required' is transmitted to the manager terminal 4, or by transmitting food ordering information, the manager terminal 4 Feed order information may be transmitted to the feed company terminal 6 through the.

The apparatus management unit 37 may determine whether inspection of the poultry house apparatus 2 is necessary using the control history data, and may generate reception information according to whether the inspection is necessary and transmit it to the equipment company terminal 7 .

For example, the device management unit 37 analyzes the control history data and the environmental data within a predetermined time range after the control of the corresponding control history data. Inspection reception information for the poultry house device (2) can be generated and transmitted to the equipment manufacturer terminal (7).

In addition, the inspection reception information is transmitted to the manager terminal 4 instead of being directly transmitted to the facility company terminal 7, and the inspection reception information is transmitted to the facility company terminal 7 through the manager terminal 4 according to the manager's confirmation You can also make it happen.

The drug management unit 38 determines whether a disease has occurred using one or more of environmental data, image data, average weight, and growth rate, and generates drug ordering information according to the occurrence of the disease and transmits it to the drug company terminal 8 . . This will allow you to quickly respond to the disease. When a disease occurs, a warning message may be transmitted to the manager terminal 4 .

In addition, the drug management unit 38 may process the drug consumption measured through the drug measurement unit 14 when generating the drug order information to determine the drug stock, and generate drug ordering information according to the identified drug stock.

In addition, the drug management unit 38 may generate drug order information when there is a drug with insufficient inventory according to the identified drug stock regardless of whether or not a disease occurs.

In addition, the drug management unit 38 transmits the drug order information to the manager terminal 4, and after receiving confirmation from the manager, the drug order information is transmitted to the drug company terminal 8 through the manager terminal 4. .

The manager terminal 4 may be a mobile terminal of a manager such as a breeder of a poultry farm, and may be easily applied to a PC, tablet, etc. in addition to a mobile terminal.

As described above, the manager terminal 4 is implemented as a mobile terminal to facilitate mobility and convenience, and enables the manager to remotely monitor and control.

This manager terminal (4) is the poultry demand and supply platform provided by the system of the present invention is down, weight data, environmental data, feeding amount, water supply amount, control history data, average weight from the demand and supply server (3) , growth rate and optimal environment control information may be received and provided to the manager, and the control value may be received from the manager to remotely control the device 7 of the poultry house through the supply and demand server 3 .

In addition, the manager terminal 4 may receive all information, such as forecast shipment information, demand forecast information, shipment adjustment information, and provide it to the manager.

The distributor terminal 5 may be a terminal of a distributor such as a distributor, an employee of the distributor, a representative, etc., and may be easily applied to a PC, a tablet, etc. in addition to a mobile terminal.

The distributor terminal 5 may receive consumption information from the distributor and transmit it to the supply and demand server 3 .

In addition, the distributor terminal 5 may receive the predicted shipment information, receive the poultry ordering information according to the predicted shipment information from the distributor, and transmit the poultry ordering information to the demand and supply server 3 .

The feed company terminal 6 may be a terminal of a feed company such as an employee or a representative of the feed company, and may be easily applied to a PC, a tablet, etc. in addition to a mobile terminal.

When the feed company terminal 6 receives feed order information from the demand and supply server 3, it delivers feed to the poultry company according to the feed order information, and provides delivery information on the delivered feed to the manager terminal of the poultry company. (4) or to the supply and demand server (3).

The equipment company terminal 7 may be a terminal of a facility company such as an employee, a mechanic, or a representative of the facility company, and may be easily applied to a PC, a tablet, etc. in addition to a mobile terminal.

When receiving the inspection reception information from the demand and supply server 3, the equipment company terminal 7 receives the reception completion and inspection date and time information and transmits it to the demand and supply server 3 so that it is transmitted to the manager terminal 4 can do.

The drug company terminal 8 may be a terminal of a drug company such as an employee of a drug company, a pharmacy, a quarantine company, etc., and may be easily applied to a PC, a tablet, etc. in addition to a mobile terminal.

When the drug company terminal 8 receives the drug order information from the supply and demand server 3, it delivers the drug to the poultry company according to the drug order information, and provides delivery information about the delivered drug, etc. to the manager terminal of the poultry company. (4) or to the supply and demand server (3).

As described above, the poultry demand and supply system according to an embodiment of the present invention provides an intelligent-based poultry demand and supply platform, thereby reducing the demand and supply between poultry farms, distributors, feed companies, pharmaceutical companies, equipment companies, etc. By enabling systematic management, the poultry industry can be developed.

This can improve the productivity of poultry farms, and can reduce feed consumption, breeding costs, labor, etc.

In addition, it is possible to minimize unnecessary cost losses by reducing the inventory ratio, thereby maximizing profits and enabling stable supply.

The embodiment of the present invention described above is not implemented only through an apparatus and/or method, but may be implemented through a program for realizing a function corresponding to the configuration of the embodiment of the present invention, a recording medium in which the program is recorded, etc. Also, such an implementation can be easily implemented by those skilled in the art to which the present invention pertains from the description of the above-described embodiments.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements by those skilled in the art using the basic concept of the present invention as defined in the following claims are also provided. is within the scope of the right.

1: Poultry house module
10: IOT scale
100: weight measurement unit
101a: cell plate
102a: cell moving pipe
103a: guide holder
104a: cell control
105a: cell support
101b: food input unit
1010b: feeding path
1011b: on-off valve
102b: Poultry Reception Department
1020b: support plate
1021b: sidewall
1022b: door
103b: feed canister
104b: load cell
105b: state detection module
106b: flexible duct
11: Outside air sensor unit
12: feeding amount measurement unit
13: water supply measurement unit
14: drug measurement unit
15: camera
16: automatic control device
2: Poultry house device
3: Demand and Supply Servers
30: Database
31: weight derivation part
32: gain rate derivation unit
33: control generation unit
34: Arrival/shipment determination unit
35: distribution management department
36: food management department
37: device management unit
38: Drug Management Department
4: Manager terminal
5: Distributor terminal
6: Feed company terminal
7: Equipment company terminal
8: Pharmaceutical company terminal

Claims (9)

a retailer terminal that receives consumption information;
A poultry house module that measures the weight, feed amount, water amount and environment of poultry and
Receiving data from the poultry house module, deriving average weight and growth rate, generating predicted shipment information, receiving the consumption information from the distributor terminal to derive demand forecast information, and providing the demand forecast information and the forecast shipment information A poultry demand and supply system comprising a demand and supply server that compares and generates shipment adjustment information when it is determined that shipment adjustment is necessary.
According to claim 1,
The distributor terminal,
Poultry demand and supply system, characterized in that receiving the predicted shipment information and receiving the poultry order information and transmitting it to the demand and supply server.
According to claim 1,
The poultry house module,
IOT scales for measuring the weight of poultry and measuring bet environmental data;
an outdoor air sensor unit for measuring outdoor air environment data;
Feeding amount measuring unit for measuring the amount of feeding;
A water supply measuring unit that measures the amount of water supplied, and
A poultry supply and demand system comprising an automatic control device for controlling the poultry house's equipment.
4. The method of claim 3,
The supply and demand server,
a database that stores management reference data, and stores the collected weight data, environmental data (bet environment data and outdoor air environment data), feeding amount, water supply amount, and control history data received from the automatic control device;
a weight derivation unit for deriving an average weight using a plurality of stored weight data;
a growth rate deriving unit for deriving a growth rate through the feed amount and average weight;
a control generation unit that generates optimal environment control information through an artificial intelligence environment control model that has learned big data and transmits it to the automatic control device;
Arrival/shipment determination unit for generating predicted shipment information through the average weight, and generating necessary arrival/delivery information according to the predicted shipment information; and
Poultry demand comprising a distribution management unit that receives the consumption information from the distribution company terminal to derive demand forecast information, and compares the demand forecast information with the forecast shipment information to generate shipment adjustment information when it is determined that shipment adjustment is necessary and supply systems.
5. The method of claim 4,
When the shipment adjustment information is generated,
The control generating unit,
generating the optimal environment control information by reflecting the shipment adjustment information;
The stock/shipment determination unit,
Poultry demand and supply system, characterized in that for generating the necessary estimating information when it is determined that locating is necessary according to the shipment adjustment information.
5. The method of claim 4,
The artificial intelligence environment control model is
a normalization step of normalizing the collected average weight, growth rate, water supply amount, feeding amount, and environmental data;
A correlation analysis step that analyzes the correlation between productivity and water supply, feeding quantity and environmental data, and
It is modeled through the optimization step to derive the final model by optimizing the correlation,
Poultry demand and supply system, characterized in that generating the optimal environmental control information according to the average weight, growth rate and environmental data.
7. The method of claim 6,
The correlation analysis step is,
One-dimensional correlation analysis step of analyzing the 1:1 correlation between productivity and water supply, feeding amount and environmental data;
A quantification step of quantifying changes in environmental data according to the control history data to generate environmental change data; and
A poultry demand and supply system comprising an n-dimensional correlation analysis step of analyzing one or more correlations among productivity, water supply amount, feeding amount, environmental data, and control history data based on a one-dimensional correlation using the environmental change data .
5. The method of claim 4,
The supply and demand server,
A food management unit that determines the amount of extra food according to the amount of feeding, and generates food ordering information when the amount of extra food is less than a certain standard and transmits it to the terminal of the feed company;
The poultry demand and supply system further comprising one or more of the device management unit for determining whether the inspection of the poultry house is necessary using the control history data, generating reception information according to whether the inspection is necessary and transmitting the information to the equipment company terminal.
5. The method of claim 4,
The poultry house module,
Further comprising a camera to acquire image data by photographing the inside of the poultry house,
The supply and demand server,
Poultry demand and supply system.

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