KR102011401B1 - Abnormal signs monitoring system and method based on food intake of livestock - Google Patents

Abstract

The present invention relates to a system and method for managing livestock, and more particularly, to individually identify a large number of livestock in a mooring barn, and automatically optimizes the optimal feed amount for each feed intake of the identified livestock. The present invention relates to a symptom monitoring system and method based on feed intake of livestock that manages abnormal symptoms of each livestock based on feed supply, and is installed in a mooring barn. And a plurality of individual food guide frame 100 to form an entry space to be possible; A plurality of feed containers 200 disposed for each individual feeding guide frame 100; By feeding along the feed guide frame 100, the feed is supplied to each feed container 200, photographed individually for each feed guide frame 100, and the face portion of the livestock in the photographed image information If it is determined that the presence of the face portion of the livestock, the face recognition camera 330 for generating individual animal face recognition photographing information which is the corresponding image information and the individual animal face recognition photographing information generated and the feeding guide frame A separate feed member 300 for wirelessly transmitting an automatic feed request signal including a frame guide information for feeding guide identifying 100; An AP 400 for relaying and receiving the automatic feeding request signal wirelessly; Each animal's face recognition photographing information, in which the facial feature information such as ear size, eye position, nose position, fur pattern, and mouth size of the relevant animal are accumulated and stored as the photographing information, and the identification code for each animal, which is an identifier for identifying the animal, Individual identification information DB (511) for individual animals stored separately for each livestock raised in the barn, recommended feed intake for each growth date calculated according to the schedule for growing from birth to birth The livestock identification code, which is an identifier for identifying livestock, has a growth base feed amount calculation DB 512 for each livestock stored separately for each livestock raised in a mooring barn, and is included in the automatic feed request signal that is relayed. Matching individual animal face recognition photographing information with the individual object identification information DB (511) for each animal to search for the individual animal face recognition photographing information, and the searched corresponding By matching the livestock identification code corresponding to individual livestock face recognition photographing information with the growth basis feed volume calculation DB 512 for each livestock, the recommended feed intake information for each growth date of the livestock and the food included in the automatic feeding request signal And a livestock management server 500 for controlling the feed amount guidance signal for each animal including content frame identifier information to be transmitted to the individual feeding member 300 via the AP 400. The member 300 moves to the feed guide frame 100 based on the feed guide frame identifier information among the information included in the feed feed amount guide signal for each animal to be fed to the feed container 200 according to the feed container 200. To provide a system and a method using the same, characterized in that the feed amount corresponding to the recommended intake feed information by the growth date of the livestock of the information contained in the guide signal is controlled to be supplied. It is characterized by.

Description

Abnormal signs monitoring system and method based on food intake of livestock}

The present invention relates to a system and method for managing livestock, and more particularly, to individually identify a large number of livestock in a mooring barn, and automatically optimizes the optimal feed amount for each feed intake of the identified livestock. The present invention relates to an abnormal symptom monitoring system and method based on the feed intake of the livestock, which manages the abnormal symptoms of each livestock based on the feed supply.

With the recent increase in the consumption of livestock products, various ways of managing livestock efficiently have been proposed.

Conventionally, a person grasps the condition of each livestock, and is treated or quarantined for the livestock showing abnormality.

However, when the number of livestock is large, there is a problem that a large number of manpower is required to manage all the livestock.

In addition, since some livestock infectious diseases may result in the death of most of the livestock, there is a need for a method that can quickly and accurately determine whether the livestock is abnormal.

In order to solve this problem, a livestock breeding management system using the Internet (see Patent Document 1) has been proposed.

As such, the point of the conventional livestock breeding management system using the Internet is to input the livestock breeding data of individual farmers to the livestock breeding management server through the Internet, and analyze the breeding activity and slaughter results of the individual breeding livestock of each farm based on this. By managing it, you can get the information and consulting necessary for farm management by simply inputting the data, and you can receive the national grades and improvement directions for the vulnerable parts of each farm by analyzing the accumulated data.

However, in spite of these advantages, the conventional livestock breeding management system provides the optimum amount of feed individually for a large number of livestock breeding in mooring houses, and does not provide a system for managing abnormal symptoms. There is this.

KR 10-0411655 B1

The present invention is to solve the problems of the prior art, an object of the present invention is to identify a large number of livestock breeding in a mooring barn, one by one individually, the optimum for each feed intake of each identified animal The present invention provides an abnormal symptom monitoring system and method based on the feed intake of the livestock, which not only provides the feed amount automatically but also manages the abnormal symptoms of each animal based on the feed amount.

In order to achieve the object of the present invention as described above, the abnormal symptom monitoring system based on the food intake of the livestock according to the present invention, which is installed in a mooring barn, forms an entry space for entry of livestock one by one A plurality of individual feeding guide frameworks; A plurality of feed passages arranged for each individual feeding guide frame; By feeding along the feeding guide frame, the feed is supplied to each feed container, and individually photographed for each feeding guide frame, and analyzes whether there is a facial part of the animal from the photographed image information, the facial part of the livestock Is determined, the facial recognition camera for generating individual animal face recognition photographing information, which is the corresponding image information, and the individual animal face recognition photographing information generated therein, and food guide frame identifier information for identifying the corresponding food guide frame. A separate feeding member for wirelessly transmitting an automatic feeding request signal; An AP receiving and relaying the automatic feeding request signal wirelessly; Each animal's face recognition photographing information, in which the facial feature information such as ear size, eye position, nose position, fur pattern, and mouth size of the relevant animal are accumulated and stored as the photographing information, and the identification code for each animal, which is an identifier for identifying the animal, Individual identification information DB for each animal that is stored separately for each livestock raised in the barn, and the recommended intake feed information for each growth date, which is calculated by calculating the recommended intake according to the schedule growing from birth, and the corresponding livestock Each animal face identification code, which is an identifier, has a growth base feed amount calculation DB for each animal, which is separately stored and stored separately for each animal raised in a mooring barn, and individual animal face recognition photographing information included in the automatic feed request signal relayed and transmitted. Search the individual animal face recognition photographing information by matching the individual identification information DB for each animal, and the retrieved corresponding individual animal By matching the identification code of each animal corresponding to the cotton recognition photographing information with the growth base feed volume calculation DB for each livestock, the recommended feed amount information for each growing day of the livestock and the food guide frame identifier information included in the automatic feeding request signal And a livestock management server for controlling the feed amount feed signal for each animal to be transmitted to the individual feed member through the AP, wherein the individual feed member is included in the feed amount feed signal for each animal to be transmitted. Based on the information of the feeding guide frame identifier information, the feeding guide frame is moved to the feeding guide frame so that the feed volume corresponding to the recommended intake feed amount information according to the growth date of the corresponding livestock is supplied to the feeder. Function to control.

In the abnormal symptom monitoring system based on the food intake of the livestock according to the present invention, the individual feeding member, the feed of the livestock is loaded therein, the feed supply body for feeding the feed through the discharge port; A conveying member for conveying the feed body along the feeding guide frame; The individual animal face recognition photographing information is controlled to be transmitted wirelessly through a wireless communication unit, and the transfer member based on the frame identifier information for feeding guide among the information contained in the feed amount feed signal for each livestock transmitted wirelessly through the wireless communication unit. By controlling the feed, the feed supply body is controlled to be transported to the feeding guide frame, and in the state that the discharge port of the feed supply body is controlled to open to the feed container of the corresponding animal of the information contained in the feed amount of feed for each animal in the feed container And a controller configured to control the discharge of the feed amount corresponding to the recommended intake feed amount information for each growth date.

In the abnormal symptom monitoring system based on food intake of livestock according to the present invention, the livestock management server, the face identification engine; And an intake calculation engine; wherein the intake calculation engine calculates a recommended intake feed amount according to a schedule growing from birth for each livestock for each predetermined cycle, and calculates the recommended intake feed amount by growth date, which is the calculated value. It is controlled to accumulate and store in the growth basis feed amount calculation DB for each livestock, and the face identification engine matches the individual livestock face recognition photographing information included in the automatic feeding request signal with the individual identification information DB for each livestock, Search identification recognition information, extract the identification code for each animal corresponding to the retrieved individual animal face recognition photographing information, and the intake calculation engine linked with the face identification engine extracts the extracted animal identification code for each animal Recommend feed intake information according to growth date of the livestock according to the growth base feed amount calculation DB and request the automatic feeding Controls the generation of the feed amount guide signal for each animal including the feed guide frame identifier information included in the signal.

In the abnormal symptom monitoring system based on the food intake of the livestock according to the present invention, the livestock management server, livestock specific symptoms information DB; And an abnormal symptom discrimination engine, wherein the facial identification engine accumulates and stores the individual animal face recognition photographing information included in the automatic feeding request signal that is relayed for each individual animal in the individual identification information DB for each animal. The abnormal symptom discrimination engine may identify the livestock identification code of the livestock and the corresponding livestock when the livestock for which the individual livestock facial recognition photographing information is not accumulated and stored at the time of feeding of the previous animal identification information DB is present. The feed intake information, which is information that the feed was not ingested, is controlled to be stored separately for each livestock in the abnormal symptoms detail information DB for each livestock.

In the abnormal symptom monitoring system based on the food intake of the livestock according to the present invention, the contact information of the livestock farmers operating the mooring barn is stored and managed in the livestock individual identification information DB, and the livestock farmer owned by the livestock farmer And the terminal, wherein the abnormal symptom discrimination engine extracts the livestock identification code and feed intake information from the livestock abnormality symptom detail information DB, and includes the extracted livestock identification code and feed intake information. The feed ingestion guide signal is controlled to be notified to the animal husbandry terminal by referring to the contact information of the animal husbandry stored and managed in the individual identification information DB for each animal.

Using the abnormal symptom monitoring system based on the food intake of the livestock of the present invention, a large number of individual livestock in a mooring barn are identified individually and optimally for each ingested feed of the identified livestock. The process of managing the abnormal symptoms of each livestock based on the feeding amount, in addition to providing the feeding amount automatically, provides a feeding guide frame installed in the mooring barn when the feeding time is set in the individual feeding element. Supplying a standard feeding amount corresponding to a smaller amount than the ones eating the smallest feed amount among all the livestock raised in the mooring barn for each feed bin associated with the feeding guide frame; In the face recognition camera, each animal is photographed individually for each feeding guide frame, and the image information of the animal is analyzed from the photographed image information. Generating information; Generating, by the individual feeding member, an automatic feeding request signal including the generated individual animal face recognition photographing information and a feeding guide frame identifier information for identifying a corresponding feeding guide frame, and wirelessly transmitting the same; Relaying, by the AP, the automatic feeding request signal transmitted wirelessly; In the livestock management server, the face identification engine is operated to match the individual animal face recognition photographing information included in the automatic feeding request signal with the individual object identification information DB for each animal, and search for the corresponding individual animal face recognition photographing information. Extracting an identification code for each animal corresponding to the individual animal face recognition photographing information; In the livestock management server, the intake calculation engine is operated to match the extracted livestock identification code with the growth basis feed volume calculation DB for each livestock and include it in the recommended intake feed information for each growth date of the livestock and the automatic feeding request signal. Generating a feed amount feed signal for each livestock including the feed guide frame identifier information, and transmitting the feed amount to the individual feed member via the AP; In the individual feed member, based on the feed guide frame identifier information among the information included in the feed feed amount guide signal for each animal transmitted to the feed guide frame included in the feed amount feed signal for each animal in the feed container Supplying a feed amount corresponding to the recommended intake feed amount information for each growth date of the livestock of the information; consists of.

According to the present invention, a large number of livestock animals raised in a mooring barn are individually identified, and each animal is automatically fed with an optimum amount of feed at each feed intake. Based on this, it manages the abnormal symptoms of each animal.

In addition, the present invention is transported along the feeding guide frame installed in the mooring barn so that the cows being raised in the mooring barn can be entered into the feeding guide frame more quickly when feeding time, If the cows enter the feed guide frame while supplying the standard feeding amount corresponding to the smaller amount than the ones eating the smallest of the total livestock raised in the mooring barn, The effect of inducing a shorter feed intake time is controlled by controlling the standard feed amount to be supplied with a limited feed amount from the recommended intake feed amount by growth date corresponding to the cow's growth date. have.

1 is an overall configuration showing an abnormal symptom monitoring system based on food intake of livestock of the present invention.
Figure 2 is a main component of the individual feeding element in the configuration constituting the abnormal symptom monitoring system based on food intake of livestock of the present invention.
Figure 3 is a block diagram showing the individual feeding member of the configuration constituting the abnormal symptom monitoring system based on food intake of livestock of the present invention.
Figure 4 is a block diagram showing a livestock management server of the configuration constituting an abnormal symptom monitoring system based on the food intake of the livestock of the present invention.
FIG. 5 is a diagram illustrating a large number of livestock animals raised in a mooring barn, individually and using the abnormal symptom monitoring system based on the food intake of the livestock of the present invention, and the feed intake of each identified livestock It is a flow chart describing the process of managing the abnormal symptoms of each animal based on the feeding amount as well as automatically supplying the optimum amount of feed every time.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. The detailed description, which will be given below with reference to the accompanying drawings, is intended to explain exemplary embodiments of the present invention and is not intended to represent the only embodiments in which the present invention may be practiced. The following detailed description includes specific details in order to provide a thorough understanding of the present invention. However, one of ordinary skill in the art appreciates that the present invention may be practiced without these specific details.

In some instances, well-known structures and devices may be omitted or shown in block diagram form centering on the core functions of the structures and devices in order to avoid obscuring the concepts of the present invention.

Also, livestock is a domestic animal. In the embodiment of the present invention will be described as an example of a cow, but is not limited to cows, it can be applied to a variety of animals, such as cattle, horses or pigs.

As shown in Figures 1 to 4, the abnormal symptom monitoring system based on the food intake of the livestock is largely the feeding guide frame 100, feed container 200, individual feed member 300, AP 400 And livestock management server 500.

First, the feeding guide frame 100 is installed in a mooring barn, a member forming an entry space for entry of livestock one by one, depending on the size of the mooring barn, at least tens to many hundreds. Installation may be provided to a degree, the shape may also be arranged in a variety of shapes, such as a straight or U-shape.

The feed container 200 is provided individually arranged for each individual food guide frame 100, thereby providing the optimum amount of feed according to the growth schedule of the cow can be ingested.

The individual feed member 300 is to supply the feed for each feed container 200 while transporting along the food guide frame 100, individually photographed for each food guide frame 100, the photographed image Analyzing whether there is a face part of the animal from the information, and if it is determined that there is a face part of the animal, the face recognition camera 330 for generating individual face recognition information of the corresponding image information and the generated face recognition of the individual face As a member for wireless transmission of the automatic feeding request signal including the information and the food guide frame identifier information for identifying the food guide frame 100, and performs the intelligent communication with the livestock management server 500 to be described later.

As such, the IoT communication between the individual feeding member 300 and the livestock management server 500 is defined somewhat differently internationally, but overall, M2M (Machine to Machine, ETSI), IoT (Internet of Things, ITU-) T), MTC (Machine Type Communications, 3GPP), etc. terms are defined. With regard to such intelligent communication, the Korea Communications Commission extends the communication and broadcasting Internet infrastructure to the areas of human-to-object and object-to-object, and intelligently collects, processes, processes and delivers information through things. Defined as'. In the sense of negotiation, it means communication between machines and human-operated device and machine-to-machine communication, but in a broad sense, it is possible to combine communication and ICT technology to check infrastructure information, system, terminal, etc. Means a solution.

Such, the services that are spotlighted as the main application field of IoT communication is mobile office, home service, health service, vehicle service, payment, logistics management, security, etc., a new business model through convergence with other industries It can be created.

Such IoT communication is a key policy for fostering new growth engines in each country along with Smart Grid, Cloud Computing, and Smart Work. In other words, the world's major governments and global companies are rushing to build an aggressive investment and service development infrastructure, and in particular, are expanding the application of IoT technology and services to green IT, telematics, location-based services, remote meter reading, and logistics management.

Some intelligent communication services provided in Korea include card payment machines, transportation systems, remote meter reading, smart grids, and weather control systems. In addition, various services for intelligent cars are being developed through convergence with the automotive industry. As the convergence service based on the IoT is diversified, it is necessary to develop a framework for providing an optimal service for M2M communication between an object (device) and an object (device).

 As such, the main reason for applying the intelligent communication to the individual feeding member 300 of the present invention is to implement the image information taken every time feeding time from various angles based on deep learning technology, breeding in mooring barn This is to identify a large number of cows individually, one to individual, and to monitor abnormal symptoms.

In the configuration of the individual feeding member 300 to perform such a function, the feed of the livestock is loaded therein, and the feeder main body 310 to feed the feed container 200 through the discharge port 311, the feeder main body The transport member 320 and the individual animal face recognition photographing information for transferring the 310 along the food guide frame 100 is controlled to be wirelessly transmitted through the wireless communication unit 340, and wirelessly transmitted through the wireless communication unit 340. Of the information contained in the feed feed amount guide signal for each livestock is transported and controlled based on the feed guide frame identifier information, so that the feed supply body 310 is transported to the feed guide frame (100) In the controlled state, so that the discharge port 311 of the feed supply body 310 is opened to the recommended intake feed amount information of the growth date of the livestock of the information contained in the feed amount guide signal for each animal feed to the feed container 200 Corresponding feed volume discharged A control unit 350 for controlling so as to be equipped.

Here, the facial recognition camera 330 is preferably provided with an operation means for guiding to move at an angle of up and down, left and right.

In addition, the conveying member 320 may be used by applying various conveying methods such as a rail method or a gear method including a rack belt and a pinion, although not shown in the drawings.

The AP 400 is a member that wirelessly receives the automatic feed request signal from the individual feed member 300, and relays the transmitted automatic feed request signal to the livestock management server 500, which will be described later. It is an independent device that connects.

On the other hand, the wireless communication method between the individual feed member 300 and the AP 400 may be applied to a variety of communication modules, such as a wireless LAN (WiFi) module, IR module, infrared module, Bluetooth module or IEEE802.11 module, In particular, when the IEEE802.11 module is applied, frequency hopping, quality for service (QoS) enhancement, access point (AP) protocol compatibility, and security enhancement using frequencies in the range of 2.4 GHz to 5 GHz ), Radio resource measurement, wireless access vehicular environment, fast roaming, mesh network, interworking with external network Standards for a variety of technologies, including wireless network management.

The livestock management server 500 is individual animal face recognition photographing information in which facial feature information such as ear size, eye position, nose position, fur pattern, and mouth size of the livestock is stored and stored as photographing information, and an identifier for identifying the corresponding livestock. Individual identification information DB (511), which is stored separately for each livestock raised in a mooring barn, is calculated by calculating the recommended amount of ingested feed according to the schedule growing from birth for each livestock. Animal feed identification information, which is the recommended intake feed information by day, and an identifier for identifying the livestock, is separately transmitted and stored for each livestock raised in a mooring barn. The individual animal face recognition photographing information included in the automatic feeding request signal is matched with the individual object identification information DB 511 for each animal, and the corresponding individual face recognition photographing information is obtained. Search and match the livestock identification code corresponding to the retrieved individual livestock facial recognition photographing information with the livestock growth foundation feed calculation DB 512 for each livestock, and recommend the intake feed amount information and the automatic feeding request of the corresponding livestock. It is a member for controlling the feed amount feed signal for each animal including the feed guide frame identifier information included in the signal to be transmitted to the individual feed member 300 via the AP (400).

As such, the detailed configuration of the livestock management server 500 to perform a function, including a DB unit 510, face identification engine 520 and intake calculation engine 530.

The DB unit 510 includes the above-mentioned individual identification information DB 511 for each livestock and growth base feed amount calculation DB 512 for each livestock.

The intake calculation engine 530 linked to the facial identification engine 520 to be described later, calculates the recommended intake feed amount according to the schedule growing from birth for each livestock for each predetermined cycle, recommended by the growth date that is the calculated value It performs a function to control the cumulative storage of the intake feed amount information in the growth basis feed amount calculation DB 512 for each animal.

The face identification engine 520 searches individual animal face recognition photographing information by matching individual animal face recognition photographing information included in the automatic feeding request signal with the individual object identification information DB 511 for each animal, and retrieves the corresponding individual animal face. Extracts the identification code for each animal corresponding to facial recognition photographing information.

The intake calculation engine 530 interworking with the face identification engine 520 matches the extracted livestock identification code with the growth base feed volume calculation DB 512 for each livestock, and recommends feed intake information and automatic feeding for each livestock growth date. It performs a function to control the generation of the feed amount guide signal for each animal including the feed guide frame identifier information included in the request signal.

Through this, the individual feed member 300 is moved to the feed guide frame 100 based on the feed guide frame identifier information of the information contained in the feed feed amount guide signal for each animal transmitted to the feed container 200 It controls to supply the feed amount corresponding to the recommended intake feed information by the growth date of the livestock of the information contained in the feed feed amount guide for each livestock.

On the other hand, in the abnormal symptom monitoring system based on the food intake of the livestock of the present invention, the cows being raised in the mooring barn are induced to enter the feeding guide frame 100 more quickly at the feeding time, Mooring for each feed bin 200 associated with the feed guide frame 100, while transported along the feed guide frame 100 installed in the mooring barn so that the optimum amount of feed according to the growth date for each cow is provided. If the cow enters along the feeding guide frame 100 while supplying a standard amount of food corresponding to a smaller amount than the animal that eats the smallest feed of all livestock raised in the barn, the cow is identified. To control the standard feed amount from the recommended feed amount by growth date corresponding to the recommended feed amount information for the growth date of the cow provided to control the limited feed amount It also functions.

In addition, the abnormal symptom monitoring system based on the food intake of the livestock of the present invention can detect abnormal symptoms of cattle raised in the mooring barn, based on the feed supplied at each feeding time, abnormal symptoms are detected If the cattle are present, they are provided to the livestock producers.

To this end, the livestock management server 500 further includes a livestock abnormality symptom detail information DB 513, abnormality symptom determination engine 540, and a livestock farmer terminal 600 possessed by the livestock industry.

Through this, the facial identification engine 520 accumulates and stores the individual livestock facial recognition photographing information included in the automatic feed request signal relayed for each corresponding livestock of the individual identification information DB 511 for each livestock.

In addition, the individual identification information DB 511 for each animal is stored and managed contact information of the livestock farmers operating the mooring barn.

The abnormal symptom discrimination engine 540 may identify the livestock identification code of the livestock when the livestock for which the individual livestock face recognition photographing information is not accumulated and stored at the time of feeding of the previous animal identification information DB 511 is present. It performs a function of controlling to store the food intake intake information that is the information that the livestock did not eat the feed is classified and stored for each livestock in the abnormal symptoms history information DB (513) for each livestock.

In addition, the abnormal symptoms determination engine 540 extracts the identification code and feed intake information for each animal from the abnormal symptoms history information DB 513 for each animal, and includes the extracted animal identification code and feed intake information. The feed intake intake guide signal performs a function of controlling to be notified to the animal husbandry terminal 600 by referring to the contact information of the animal husbandry stored and managed in the individual identification information DB (511) for each animal.

As such, using the abnormal symptom monitoring system based on the food intake of the livestock of the present invention, a large number of livestock raised in a mooring barn are individually identified, and each of the identified livestock Referring to FIG. 5, the process of managing the abnormal symptoms of each livestock based on the feed amount as well as automatically supplying the optimum amount of feed each time feed intake is as follows.

First, when the individual feeding member 300 is a predetermined feeding time, while feeding along the feeding guide frame 100 installed in the mooring barn, the feed container 200 associated with the corresponding feeding guide frame 100 Each of the standard cattle feeds corresponding to a smaller amount than the cattle eating the smallest of the total livestock raised in the mooring barn each (S100), so that the cows can quickly enter the food guide frame (100) To induce.

Then, the face recognition camera 330 installed on the upper side of the feed body 310 to be transported along the conveying member 320 is taken individually for each feeding guide frame 100, the face of the livestock in the photographed image information If it is determined that the site exists, and if it is determined that there is a facial part of the livestock, and generates individual animal face recognition photographing information that is the corresponding video information (S200).

Thereafter, the control unit 350 of the individual feeding member 300 generates an automatic feeding request signal including the generated individual face recognition photographing information and the feeding guide frame identifier information for identifying the corresponding feeding guide frame 100. And, this is wireless transmission (S300).

AP 400 relays the automatic feed request signal transmitted to the livestock management server 500 (S400).

The livestock management server 500 operates the face identification engine 520 to match the individual animal face recognition photographing information included in the automatic feeding request signal with the individual object identification information DB 511 for each individual animal face recognition photographing information. Search for, and extracts the identification code for each animal corresponding to the retrieved individual animal face recognition photographing information (S500).

On the other hand, the facial identification engine 520 controls the individual livestock facial recognition photographing information included in the automatic feed request signal to be stored by accumulating separately by the corresponding livestock of the individual identification information DB (511) for each livestock, as an identifier of the cattle I use it.

In addition, the livestock management server 500 operates the intake calculation engine 530, matching the extracted livestock identification code with the livestock growth base feed volume calculation DB 512 for each livestock, the recommended intake feed information by the growth date of the livestock And generating a feed amount feed signal for each animal including the feed guide frame identifier information included in the automatic feeding request signal, and transmitting the feed amount guide signal to each individual feeding member 300 via the AP 400 (S600).

The individual feed member 300 moves to the feed guide frame 100 based on the feed guide frame identifier information among the information included in the feed feed amount guide signal for each animal to be supplied to the feed container 200 by feed. The feed amount corresponding to the recommended intake feed amount information according to the growth date of the livestock among the information included in the feed amount guidance signal is supplied (S700), but the above mentioned in the recommended intake feed amount by the growth date corresponding to the recommended intake feed information by growth date Feeding is controlled to limit the amount of feed.

On the other hand, the livestock management server 500 operates the abnormal symptom discrimination engine 540, the livestock for which the individual livestock face recognition photographing information is not accumulated and stored at the time of feeding immediately before the individual identification information DB 511 for each livestock. If present, the animal identification code of the livestock and the feed intake information, that is, the information that the livestock did not ingest the feed, are controlled to be stored separately for each livestock in the abnormal symptom detail information DB 513 for each livestock.

In addition, the abnormal symptoms determination engine 540 extracts the identification code and feed intake information for each animal from the abnormal symptoms history information DB 513 for each animal, and includes the extracted livestock identification code and feed intake information. By controlling the feed ingestion guide signal to be informed to the animal husbandry terminal 600 by referring to the contact information of the animal husbandry stored and managed in the animal identification information DB (511) for each animal, the animal producer promptly identifies the cow whose abnormal symptoms are detected. To be aware of and to cope with.

The apparatus for inspecting a ceiling according to the present invention described above is not limited to the above-described embodiment, and any person having ordinary knowledge in the field to which the present invention belongs without departing from the gist of the present invention claimed in the following claims. The technical spirit is to the extent that various changes can be made.

100: individual feeding guide frame 200: feed container
300: individual feeding member 310: feeding member
311 discharge port 320 conveying member
330: facial recognition camera 340: wireless communication unit
350: control unit 400: AP
500: Livestock Management Server 510: DB Division
511: Individual identification information DB for each animal
512: DB calculation based on livestock feed volume
513: DB abnormality history information by animal
520: face identification engine 530: intake calculation engine
540: abnormal symptoms discrimination engine 600: livestock producer terminal

Claims (11)

It is installed in a mooring barn, a plurality of individual food guide frame 100 to form an entry space for entry of livestock one by one;
A plurality of feed containers 200 disposed for each individual feeding guide frame 100;
By feeding along the feed guide frame 100, the feed is supplied to each feed container 200, photographed individually for each feed guide frame 100, and the face portion of the livestock in the photographed image information If it is determined that the presence of the face portion of the livestock, the face recognition camera 330 for generating individual animal face recognition photographing information which is the corresponding image information and the individual animal face recognition photographing information generated and the feeding guide frame A separate feed member 300 for wirelessly transmitting an automatic feed request signal including a frame guide information for feeding guide identifying 100;
An AP 400 for relaying and receiving the automatic feeding request signal wirelessly;
Each animal's face recognition photographing information, in which the facial characteristic information such as ear size, eye position, nose position, fur pattern, and mouth size of the relevant animal are accumulated and stored as the photographing information, and the identification code for each animal, which is an identifier for identifying the relevant animal, is held. Individual identification information DB (511) for individual animals stored separately for each livestock raised in the barn, recommended feed intake for each growth date calculated according to the schedule for growing from birth to birth The livestock identification code, which is an identifier for identifying livestock, has a growth base feed amount calculation DB 512 for each livestock stored separately for each livestock raised in a mooring barn, and is included in the automatic feed request signal that is relayed. Matching individual animal face recognition photographing information with the individual object identification information DB (511) for each animal to search for the individual animal face recognition photographing information, and the searched corresponding By matching the livestock identification code corresponding to individual livestock face recognition photographing information with the growth basis feed volume calculation DB 512 for each livestock, the recommended feed intake information for each growth date of the livestock and the food included in the automatic feeding request signal Includes a livestock management server 500 for controlling the feed feed amount guide signal for each animal containing the content frame identifier information to be transmitted to the individual feed member 300 via the AP (400),
The individual feed member 300 is moved to the feed guide frame 100 based on the feed guide frame identifier information of the information contained in the feed feed amount guide signal for each animal to be transmitted to the feed container 200 Control the feed amount corresponding to the recommended intake feed information by the growth date of the livestock of the information included in the feed amount guide signal for each feed,
The livestock management server 500, the face identification engine 520; And an intake calculation engine 530, wherein the intake calculation engine 530 calculates a recommended intake feed amount according to a schedule growing from birth for each livestock at a predetermined cycle, and for each growth date that is the calculated value. The recommended intake feed amount information is controlled to be accumulated and stored in the growth basis feed amount calculation DB 512 for each animal, and the face identification engine 520 receives the individual animal face recognition photographing information included in the automatic feeding request signal. Search the individual animal face recognition photographing information by matching the individual object recognition information DB (511), extracts the identification code for each animal corresponding to the retrieved individual animal face recognition photographing information, and the face identification engine (520) and The intake calculation engine 530 interlocks the extracted identification code for each livestock with the growth-based feed amount calculation DB 512 for each livestock, and recommends the recommended intake for each growing date of the livestock. Information, and controls such that the livestock feed by feed amount signal generation instructions to include a guide frame identifier information included in the feed automatically feeds the request signal,
The livestock management server 500, livestock abnormality symptoms information DB (513); And an abnormal symptom discrimination engine 540, wherein the face identification engine 520 is configured to recognize individual animal face recognition photographing information included in the automatic feeding request signal relayed and transmitted by the individual identification information DB 511 for each animal. Cumulative storage by the corresponding livestock of the), and the abnormal symptoms determination engine 540, the individual animal face recognition photographing information is not accumulated and stored at the time of feeding immediately before the individual identification information DB 511 for each livestock If there is a livestock, the identification code of the livestock of the livestock and the feed intake information, that is, the information that the livestock did not eat the feed is characterized in that it is controlled to be stored separately for each livestock in the abnormal symptoms history information DB (513) for each livestock An abnormal symptom monitoring system based on food intake of livestock. The method of claim 1,
The individual feed member 300, the feed of the livestock is loaded therein, the feed supply body 310 for supplying the feed to the feed container 200 through the discharge port 311;
A conveying member 320 for conveying the feed body 310 along the feeding guide frame 100;
The individual animal face recognition photographing information is controlled to be wirelessly transmitted through the wireless communication unit 340, and the information of the frame guide information for feeding guide among the information contained in the feed amount feed signal for each animal transmitted wirelessly through the wireless communication unit 340 By controlling the transfer member 320 based on the transfer, the feed main body 310 is controlled to be transferred to the feeding guide frame 100, so that the discharge port 311 of the feed main body 310 is opened. And a control unit 350 for controlling the feed amount corresponding to the recommended intake feed amount information for each growth date of the corresponding livestock out of the information included in the feed amount feed guide for each animal in the feed container 200 in a controlled state. An anomaly monitoring system based on food intake of livestock. delete delete The method of claim 1,
The individual identification information DB (511) for each livestock stores and manages contact information of livestock farmers operating the mooring barn,
Includes; Livestock farmer terminal 600 possessed by the livestock industry
The abnormal symptom determination engine 540 extracts the identification code and feed intake information for each animal from the abnormal symptoms history information DB 513 for each animal, and includes the extracted animal identification code and feed intake information. Based on the food intake of the livestock, characterized in that the feed intake guide signal is controlled to be notified to the animal husbandry terminal 600 with reference to the contact information of the animal husbandry stored and managed in the individual identification information DB (511) for each animal Anomaly Monitoring System. In the individual feeding member 300, when the predetermined feeding time is transferred, while feeding along the feeding guide frame 100 installed in the mooring barn, every feed container 200 associated with the corresponding feeding guide frame 100 Supplying a standard feed amount corresponding to a smaller amount than the cattle eating the smallest of the total amount of livestock raised in the mooring barn (S100); And
In the facial recognition camera 330, and photographed individually for each food guide frame 100, and analyzed whether the facial portion of the livestock from the photographed image information, if it is determined that the facial portion of the livestock, the corresponding image information Generating individual animal face recognition photographing information (S200);
In the individual feed member 300, generates an automatic feed request signal including the generated individual face recognition photographing information and the feed guide frame identifier information for identifying the corresponding feed guide frame 100, and wireless transmission Step (S300);
In step (400), the AP 400 relays the automatic feeding request signal transmitted wirelessly;
In the livestock management server 500, by operating the face identification engine 520, by matching the individual animal face recognition photographing information included in the automatic feeding request signal with the individual object identification information DB (511) for each individual animal face recognition Searching the photographing information, and extracting the identification code for each animal corresponding to the retrieved individual animal face recognition photographing information (S500);
In the livestock management server 500, operating the intake calculation engine 530, matching the extracted livestock identification code with the livestock growth basis feed amount calculation DB 512 for each livestock recommended intake feed for each growth date of the livestock Generating a feed amount guide signal for each livestock including information and feed guide frame identifier information included in the automatic feeding request signal, and transmitting the feed amount guide signal to the individual feed member 300 via the AP 400; Step S600;
In the individual feed member 300, based on the feed guide frame identifier information of the information contained in the feed feed amount guide signal for each animal transmitted to the feed guide frame 100 to the corresponding feed container 200 Supplying a feed amount corresponding to the recommended intake feed amount information of the corresponding cattle growth date of the information included in the feed feed amount for each livestock (S700); abnormality based on the food intake of the livestock, characterized in that consisting of How to monitor your symptoms. delete The method of claim 6,
The individual feeding member 300 is based on the food intake of the livestock, characterized in that to control the standard feed amount to supply a limited feed amount from the recommended intake feed amount by growth date corresponding to the recommended growth intake information for each growth date Abnormal signs monitoring method. The method of claim 6,
The face identification engine 520 controls the individual animal face recognition photographing information included in the automatic feeding request signal to be relayed and stored separately for each animal in the individual identification information DB 511 for each animal. Method for monitoring abnormal signs based on food intake of livestock. The method of claim 6,
The livestock management server 500 operates the abnormal symptom discrimination engine 540, and the livestock for which the individual livestock face recognition photographing information is not accumulated and stored at the time of feeding the animal immediately before the livestock individual identification information DB 511. If there is an animal identification code of the livestock and the feed intake information, that is, the information that the livestock did not eat the feed is characterized in that it is controlled to be stored separately for each livestock in the abnormal symptoms history information DB (513) for each livestock Abnormal signs monitoring method based on livestock food intake. The method of claim 10,
The individual identification information DB (511) for each livestock stores and manages contact information of livestock farmers operating the mooring barn,
Includes; Livestock farmer terminal 600 possessed by the livestock industry
The abnormal symptom determination engine 540 extracts the identification code and feed intake information for each animal from the abnormal symptoms history information DB 513 for each animal, and includes the extracted animal identification code and feed intake information. Based on the food intake of the livestock, characterized in that the feed intake guide signal is controlled to be notified to the animal husbandry terminal 600 with reference to the contact information of the animal husbandry stored and managed in the individual identification information DB (511) for each animal Abnormal signs monitoring method.

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