KR20090090488A

KR20090090488A - Cattle disease managing system using biosensor and method thereof

Info

Publication number: KR20090090488A
Application number: KR1020080015726A
Authority: KR
Inventors: 임민수
Original assignee: (주)야긴스텍
Priority date: 2008-02-21
Filing date: 2008-02-21
Publication date: 2009-08-26

Abstract

Sensor node (100) for collecting the health status measurement information of the individual animals of the livestock breeding in a plurality of barn; Health of the gateway 210 and the sensor node 100 for setting and managing a network for the sensor nodes 100, controlling the operation of each sensor node 100, and receiving and managing health state measurement information of the sensor node 100. A middleware 200 configured as a disease management server 220 to process and manage state measurement information and analyze whether or not it matches the situation model information defined by the user; And a software platform 300 interworking with the middleware 200 to provide an application service for determining whether a livestock disease occurs in the livestock, and the disease management server 220 provides the sensor node 100 with the health state measurement information. A logging unit 222 for classifying and storing the log data in the log database according to the " A filtering unit 223 for processing the health state measurement information into a pattern defined by a user and generating health state metadata; Obtain average preliminary information on the species, gender, age, body temperature, pulse rate, and respiratory rate of the livestock to determine the disease occurrence of the livestock through comparative analysis with the health status measurement information. A data inference unit 224 to generate; And a disease analysis system of a domestic animal using a biosensor including a data analysis unit 225 for extracting and analyzing the health state average information corresponding to the health state metadata and determining whether there is a disease occurrence of the animal based on this. Is provided.

Description

Cattle disease managing system using biosensor and method

The present invention relates to a disease management system and a method of livestock, and more particularly, to measure health status information such as cows or pigs for each individual breeding in livestock farms, etc. through a biosensor and pre-established health status average The present invention relates to a disease management system and a method of livestock using a biosensor that can efficiently determine whether a livestock has a disease in comparison with information.

In general, the disease management method of livestock is to check the health status of each cattle or pigs in the livestock farm by the farmer or the manager to manage the health status measurement information about the development status, body temperature, pulse and respiratory rate of the livestock. The data is recorded in the books and analyzed according to the experience of the farmer or the manager, so that the disease can be judged or provided to a livestock expert or veterinarian.

However, the disease management method of the conventional livestock as described above is difficult to manage effectively according to the health status of each individual when the number of livestock is small, and receiving judgment about the data from the relevant expert or veterinarian through offline There is a problem that takes a lot of time is not made in real time.

In addition, as described above, if the disease state of the livestock is not quickly recognized or if the disease is not treated at the appropriate time, the problem of inevitable transfer to other livestock has been raised seriously.

Therefore, in order to solve the above problems, conventionally, a method for calculating the movement amount of the livestock by reading the electronic tag attached to the body of the livestock and thereby determining whether the livestock disease occurs or not. -5211.

However, since the movement amount calculation of the livestock varies depending on various situations such as the development status, estrous status, and delivery status of the livestock, the functional relationship between the moving amount and disease occurrence cannot be optimized for disease management of the livestock. There is a problem that the judgment is incorrect.

Therefore, an object of the present invention is to measure the health status, such as body temperature, pulse and respiratory rate, such as cows or pigs of each individual breeding in the barn in real time through a biosensor and compare the health status average information corresponding to the health status measurement information with each other Therefore, it is to provide a livestock epidemic management system and method using a biosensor that can efficiently and quickly determine whether a livestock disease occurs according to the health status of each livestock.

In addition, another object of the present invention is a disease management system and method of a livestock using a biosensor that can expect the accuracy of the determination of disease occurrence by measuring data such as body temperature, pulse and respiratory rate closely related to the disease of the livestock To provide.

According to the present invention, the sensor node 100 for collecting the health status measurement information of the individual animals of the livestock breeding in a plurality of barn; Health of the gateway 210 and the sensor node 100 for setting and managing a network for the sensor nodes 100, controlling the operation of each sensor node 100, and receiving and managing health state measurement information of the sensor node 100. A middleware 200 configured as a disease management server 220 to process and manage state measurement information and analyze whether or not it matches the situation model information defined by the user; And a software platform 300 interworking with the middleware 200 to provide an application service for determining the disease occurrence of the livestock, and the disease management server 220 stores the health state measurement information in the sensor node ( A logging unit 222 for classifying by 100 or gateway 210 and storing and managing it in a log database; A filtering unit 223 for processing the health state measurement information into a pattern defined by a user and generating health state metadata; Obtain average preliminary information on the species, gender, age, body temperature, pulse rate, and respiratory rate of the livestock to determine the disease occurrence of the livestock through comparative analysis with the health status measurement information. A data inference unit 224 to generate; And a disease analysis system of a domestic animal using a biosensor including a data analysis unit 225 for extracting and analyzing the health state average information corresponding to the health state metadata and determining whether there is a disease occurrence of the animal based on this. Is provided.

In addition, according to the present invention, the sensor node 100 for collecting the health status measurement information of the individual animals of the livestock breeding in a plurality of barn; Health of the gateway 210 and the sensor node 100 for setting and managing a network for the sensor nodes 100, controlling the operation of each sensor node 100, and receiving and managing health state measurement information of the sensor node 100. A middleware 200 configured as a disease management server 220 to process and manage state measurement information and analyze whether or not it matches the situation model information defined by the user; And a software platform 300 interworking with the middleware 200 to provide an application service for determining the disease occurrence of the livestock, and by the disease management server 220 in advance by region, region, and target livestock. Generating health status information for each individual on the species, sex, age, body temperature, pulse rate and respiratory rate of the separated livestock; Health status measurement information including the body temperature, pulse and respiratory rate of the individual animals in the breeding in the barn classified by region, regional, and target livestock by the sensor node 100 is measured and transmitted to the disease management server 220 step; By the disease management server 220, the health state measurement information is classified by the sensor node 110 or the gateway 210 to identify and manage by region, area or target livestock for the livestock of the health state measurement information, Processing the health state measurement information into predefined health state metadata; Extracting, by the disease management server 220, the health state average information corresponding to the health state metadata, and comparing and analyzing the health state average information, and determining whether the disease occurs in the corresponding livestock; And if it is determined that the livestock disease is a disease, there is provided a disease management method of a livestock animal using a biosensor comprising the step of notifying the judgment information to the barn farmer or manager of the livestock.

Therefore, according to the present invention as described above, by measuring in real time the health status measurement information of livestock categorized by region, area and target livestock and compared with the health status information previously processed to generate disease of the corresponding livestock By determining the presence or absence, it is possible to enable efficient disease management for a plurality of livestock.

In addition, the health state measurement information may include body temperature, pulse rate and respiratory rate, etc., which are closely related to the disease of the livestock, thereby improving accuracy and reliability of disease occurrence determination.

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

1 is a block diagram schematically showing a disease management system of a livestock using a biosensor according to a preferred embodiment of the present invention.

As shown in FIG. 1, a disease management system for a livestock using a biosensor according to a preferred embodiment of the present invention includes a sensor node for collecting health status measurement information of individual livestock of a livestock in a plurality of livestock farms ( 100, a gateway 210 and a sensor node 100 for setting and managing a network for the sensor nodes 100, controlling the operation of each sensor node 100, and receiving and managing health state measurement information of the sensor node 100. Process and manage the health status measurement information of the) and analyzes whether or not the consistency with the user-defined situation model information network to the middleware 200 and middleware 200 consisting of disease management server 220 to determine whether the disease occurred in the livestock It includes a software platform 300 for providing an application service to determine.

Here, the application service of the software platform 300, the species of the livestock classified by region, region, and target livestock to determine the disease occurrence of the livestock through the comparative analysis and the health status measurement information of the sensor node 100 Obtain average dictionary information on gender, age, body temperature, pulse rate and respiratory rate, and make a database of average health status information for each individual, and let middleware 200 compare the health status measurement information and health status average information with each other It includes an application consisting of a series of processes to determine whether a livestock disease occurs.

The sensor node 100 may be classified by region, region, and target livestock, and may be worn or attached to a livestock body to measure health state measurement information such as body temperature, pulse rate, and respiratory rate of the livestock. The data communication unit 120 collecting the health state measurement information of the biosensor 110 and transmitting it to the gateway 210, and the sensor controller 130 performing control commands for the biosensors 110. And a biosensor reader 150 including a sensor state unit 140 for monitoring the state information of the biosensors 110.

Here, the biosensor 110 is preferably a kind of electronic tag attached to or inserted into the neck, ear or chest of the livestock in the form of a necklace or earring, etc. and having a unique ID for individual identification. Measures the health status of the livestock in real time, further including a body temperature measuring instrument 111 to measure the pulse of the livestock, and a respiratory rate measuring unit 113 to measure the respiratory rate of the livestock. And, upon request of the sensor control unit 130 provides the health status measurement information of the livestock with a unique ID.

In addition, the biosensor reader 150 also preferably has a unique ID for recognition by region, region, and target livestock, and provides the gateway 210 to the gateway 210 when providing health status measurement information of the corresponding livestock from the biosensor 110. Provide with unique ID.

Therefore, according to the sensor node 100 as described above, it is possible to measure the effective health state measurement information in real time for the livestock, which is classified by region, region and target livestock.

The gateway 210 of the middleware 200 manages data collection between the sensor nodes 100 to be efficiently processed, and filters the information transmitted from the sensor node 100 and transmits the information to the middleware. Status information of the sensor node management unit 212 and the sensor node 100 connected to the gateway 210 to apply control commands such as setting sleep or operating time through scheduling with respect to the node 100, for example, each sensor node. Sensor node for managing the network settings for all sensor nodes 100 connected to the gateway 210 and the sensor node monitor unit 213 for managing and monitoring the power remaining, the operation status, the presence or absence of the (100) in real time The routing unit 214 is included.

In addition, the disease management server 220 of the middleware 200, the sensor node network to perform the function of maintaining and managing the middleware 200 corresponding to each sensor node network by enabling the simultaneous connection of various types of sensor node network The health state measurement information received from the gateway 210 is classified into gateway 210 and stored in a log database. The health state measurement information received from the gateway 210 is stored in the log 210. Filtering unit 223 for generating health state metadata by processing into a pattern defined by the controller, registers and manages all possible situational model information, and analyzes a factor suitable for a query requested by an application service of the software platform 300 to obtain appropriate conditions. And a data inference unit 224 for generating an element name, and log information of the health state metadata by using a data mining technique. In the data analysis unit 225 and the application service, which analyzes the data pattern and analyzes whether or not the user-defined situation model information is consistent with the event model suitable for the application service and the data suitable for the situation model information required by the application service. Protocol for transmitting a message suitable for the protocol required by the application service of the data transmission unit 226 and the software platform 300 to transmit the event information corresponding to the requested data and the situation model information to the application service unit 227 An application service unit 227 supporting the module is included.

Referring to the disease management server 220 as described above in more detail.

First, the individual health status measurement information for each individual animal from the sensor node 100 configured by region, region, or target livestock by the application service of the software platform 300 is logged through the gateway 210. When received, the logging unit 222 stores and stores the health status measurement information of the livestock by the gateway 210 to identify and manage by region, by region or by target livestock, and the filtering unit 223 is the health status of the livestock The measurement information is processed into predefined health state metadata.

Here, the health state metadata is for improving the future utilization of the health state measurement information, and additional information on the health state measurement information, for example, the livestock environment of the livestock at the time of generation of the health state measurement information. Or biological characteristics such as sex, age, vaccination and pregnancy / birth of the livestock.

Meanwhile, the data inference unit 224 analyzes the health status measurement information of the sensor node 100 and compares the animal species, sex, Obtain average prior information on age, body temperature, pulse rate, and respiratory rate and database the average health status of each individual.

Here, the average state of health information, for example, the average state of health information about the body temperature (pulse or respiratory rate) of the specific livestock may be in minutes, hours or days or weeks or monthly Various diseases are classified to correspond to all possible situations for disease management judgment, and are regularly updated according to the development status of the livestock based on the health status metadata.

The data analysis unit 225 extracts the health state average information of the data inference unit 224 corresponding to the health state metadata, compares and analyzes the health state average information, and determines whether the livestock disease occurs.

For example, when the health state metadata indicates body temperature for each minute of 'male voice actor 1' in the 'A' local barn, the data analyzer 225 may preprocess the data inference unit 224 in advance. The average body temperature of 'female voice actor 1' of 'A' local barn is extracted from the health status average information of the 'A' barn and compared with each other to determine whether or not the 'female voice actor 1' disease occurrence.

That is, the measured body temperature / pulse / breathing rate of 'female voice actor 1' in the 'A' stall is 40 ℃ / 75 times / 33 times, respectively, and the corresponding body temperature / pulse / breathing rate for each minute In case of 37.5 ℃ -39.5 ℃ / 60 times-80 times / 18 times-30 times, 'female voice actor 1' of 'A' local barn is judged to have a problem in body temperature and respiratory rate. The disease can be suspected.

In addition, the measured body temperature / pulse / respiration of the female voice actor 1 in the 'A' local barn maintains the average body temperature / pulse / respiration in a certain section, and the average temperature / pulse / respiration in a certain section If you continue to deviate from the average range for a certain period of time, you may suspect the disease in the livestock.

In this case, the disease occurrence determination for the livestock is made through a case in which any of the health state metadata corresponding to the body temperature, the respiratory rate and the pulse is out of the error range, or the body temperature and the respiratory rate, the body temperature and the pulse and the respiratory rate. It is preferable that any one of the conditions of the combination of the pulse and the out of the error range or all of the above conditions, such as body temperature, respiratory rate and the intersection condition of the pulse and the like out of the error range.

On the other hand, the disease management server 220, if it is determined that the disease caused by the disease analysis of the livestock animal by the data analysis unit 225, the determined information to the cattle farm owner or manager of the livestock livestock ARS It may further include an ARS / SMS / MMS unit 228 to notify / SMS / MMS.

In addition, it is preferable to further include on / offline components for analyzing the judgment information by an external expert or a veterinarian and receiving a result corresponding to the accuracy of the disease occurrence determination.

Therefore, according to the middleware 200 as described above, the health status measurement information of each individual for the livestock raised by region, region and target livestock is compared with the average health information corresponding to the health status information of the corresponding livestock Efficient and quick determination of disease outbreaks can be made.

In addition, the health status measurement information includes data such as body temperature, pulse rate and respiratory rate that is closely related to the disease of the livestock, it is possible to expect the accuracy of the disease occurrence determination.

Hereinafter, a disease management method of a livestock using a biosensor according to a preferred embodiment of the present invention having the configuration as described above will be described in more detail.

2 is a control flow diagram illustrating a disease management method of a livestock using a biosensor according to a preferred embodiment of the present invention, Figure 3 is a health measured by the biosensor in the disease management method of a livestock using the biosensor of Figure 2 1 is a diagram illustrating an example of a comparative analysis graph between state measurement information and corresponding health state average information.

First, as shown in Figure 2, by the data inference unit 224 of the disease management server 220, the species, sex, age, body temperature, pulse and breathing of livestock classified by region, region, and target livestock in advance Health status average information for each individual for the number and the like is databased (S100).

Subsequently, health status measurement information such as body temperature, pulse rate and respiratory rate of the livestock is measured by the biosensor 110 attached to the individual for the livestock raised in the barn classified by region, region, and target livestock. It is transmitted to the server 220 (S110).

Subsequently, the health state measurement information is classified by the gateway 210 by the logging unit 222 of the disease management server 220 and identified and managed by the region, the region or the target animal for the livestock of the health state measurement information. The health state measurement information of the livestock is processed by the filtering unit 223 into predefined health state metadata (S120).

Subsequently, the average health state information of the data inference unit 224 corresponding to the health state metadata is extracted by the data analysis unit 225 of the disease management server 220 and compared with each other. It is determined whether or not it occurs (S130).

Here, as shown in FIG. 3, in the step S130, when the health state metadata includes body temperature / pulse / breathing by minute unit of 'female voice actor 1' in the 'A' local barn, data analysis The unit 225 extracts the average body temperature / pulse / breathing rate per minute corresponding to the 'female voice actor 1' of the 'A' local barn from the health state average information of the data inference unit 224 previously processed. Compared with the health state metadata, it is determined whether or not the disease occurs in the 'female voice actor 1' by determining the degree of agreement (error range).

That is, the measured body temperature / pulse / breathing rate of 'female voice actor 1' in the 'A' stall is 40 ℃ / 75 times / 33 times, respectively, and the corresponding body temperature / pulse / breathing rate for each minute unit is In case of 37.5 ℃ -39.5 ℃ / 60 times-80 times / 18 times-30 times, 'female voice actor 1' of 'A' local barn is judged to have a problem in body temperature and respiratory rate. The disease can be suspected.

Here, the determination of the occurrence of the disease in step S130 is made through the case in which any one of the health state metadata corresponding to the body temperature, the respiratory rate and the pulse is out of the error range (average range) or the body temperature and the respiratory rate, the body temperature and the pulse And when the combination condition of the respiratory rate and the pulse is out of the error range or the above conditions are all out of the error range such as the body temperature, the repetition condition of the respiratory rate and the pulse, and the like.

Subsequently, when it is determined in step S130 that the livestock is diseased (S140), the ARS / SMS / MMS unit 228 provides the ARS / SMS / MMS notification to the barn farm owner or manager of the livestock. (S150).

The step S140 may further include analyzing the determination information by an external expert or a veterinarian and receiving a result corresponding thereto for the accuracy of the determination of the occurrence of the disease.

If, in step S140, the disease analysis of the livestock by the data analysis unit 225 of the disease management server 220 is not determined that the livestock disease is a disease, the disease inference of the disease management server 220 The health state average information is updated by the unit 224 based on the health state metadata (S160).

Therefore, according to the above, the health status measurement information of livestock categorized by region, region and target livestock is measured in real time, and compared with the pre-processed health status information to determine the disease occurrence of the livestock. By doing so, it is possible to enable efficient disease management for a plurality of livestock.

In the above-described invention, specific embodiments have been described, but various modifications may be made without departing from the scope of the invention. Thus, the scope of the invention should not be defined by the described embodiments, but should be defined by the equivalents of the claims and claims.

1 is a block diagram schematically showing a disease management system of a livestock using a biosensor according to an embodiment of the present invention;

2 is a control flow chart showing a disease management method of livestock using a biosensor according to an embodiment of the present invention; And

FIG. 3 is a diagram illustrating an embodiment of a comparative analysis graph between health state measurement information measured by a biosensor and health state average information corresponding thereto in a disease management method of livestock using the biosensor of FIG. 2.

Claims

Sensor node (100) for collecting the health status measurement information of the individual animals of the livestock breeding in a plurality of barn;

Health of the gateway 210 and the sensor node 100 for setting and managing a network for the sensor nodes 100, controlling the operation of each sensor node 100, and receiving and managing health state measurement information of the sensor node 100. A middleware 200 configured as a disease management server 220 to process and manage state measurement information and analyze whether or not it matches the situation model information defined by the user; And

It includes a software platform 300 that provides an application service for determining whether the disease occurs in the livestock by interworking with the middleware 200, the network,

Disease management server 220,

A logging unit 222 for classifying the health state measurement information for each sensor node 100 or gateway 210 and storing the health state measurement information in a log database;

A filtering unit 223 for processing the health state measurement information into a pattern defined by a user and generating health state metadata;

Obtain average preliminary information on the species, gender, age, body temperature, pulse rate, and respiratory rate of the livestock to determine the disease occurrence of the livestock through comparative analysis with the health status measurement information. A data inference unit 224 to generate; And

Disease analysis of livestock using a biosensor characterized in that it comprises a data analysis unit 225 for extracting the health status average information corresponding to the health status metadata, and comparing and analyzing each other, and determining the presence or absence of disease in the livestock Management system.

According to claim 1, Sensor node 100 is divided by region, by region, by target livestock, the health status measurement information including the body temperature, pulse and respiratory rate of the corresponding livestock is worn or attached to the body of the livestock Biosensor 110 for measuring the biosensor, biosensor reader 150 for collecting and controlling the health status measurement information of the biosensor 110 to transmit to the gateway 210 using a biosensor, characterized in that Livestock Disease Management System.

The biosensor 110 according to claim 2, wherein the biosensor 110 is attached to or inserted into a corresponding site of the livestock, has a unique ID for individual identification, measures the body temperature, pulse and respiratory rate of the livestock, and measures the biosensor reader 150. Animal disease management system using a biosensor, characterized in that the electronic tag provided to).

The method of claim 1, wherein the health status average information is for all occurrences of disease management judgment for the temperature, pulse, and respiration of each individual of the livestock every minute, hourly or date, or weekly or monthly. The disease management system of a livestock using a biosensor, which is classified in various ways to correspond to a possible situation, and is regularly updated according to the development status of the livestock based on the health state metadata.

The method of claim 1, wherein the disease management server 220, if it is determined that the livestock disease is diseased by using the biosensor, characterized in that notified ARS / SMS / MMS to the barn farmer or manager of the livestock livestock. Livestock Disease Management System.

Sensor node (100) for collecting the health status measurement information of the individual animals of the livestock breeding in a plurality of barn; Health of the gateway 210 and the sensor node 100 for setting and managing a network for the sensor nodes 100, controlling the operation of each sensor node 100, and receiving and managing health state measurement information of the sensor node 100. A middleware 200 configured as a disease management server 220 to process and manage state measurement information and analyze whether or not it matches the situation model information defined by the user; And a software platform 300 interworking with the middleware 200 to provide an application service for determining whether a livestock disease occurs.

Generating, by the disease management server 220, the health status information of each individual on the species, sex, age, body temperature, pulse rate and respiratory rate of the livestock classified by region, region, and target livestock in advance;

The sensor node 100 measures health state measurement information including body temperature, pulse rate and respiratory rate of each individual animal in breeding in the barn classified by region, region, and target animal and is transmitted to the disease management server 220 by the sensor node 100. step;

By the disease management server 220, the health state measurement information is classified by the sensor node 110 or the gateway 210 to identify and manage by region, area or target livestock for the livestock of the health state measurement information, Processing the health state measurement information into predefined health state metadata;

Extracting, by the disease management server 220, the health state average information corresponding to the health state metadata, and comparing and analyzing the health state average information, and determining whether the disease occurs in the corresponding livestock; And

If it is determined that the livestock disease is a disease, the disease management method of a livestock animal using a biosensor comprising the step of notifying the judgment information to the barn farmer or manager of the livestock.

7. The method of claim 6, further comprising the steps of an external expert or a veterinarian analyzing the health state metadata and the health state average information and receiving a result corresponding to each other when the disease occurrence of the animal is determined. Livestock disease control method using a biosensor.

The method of claim 7, wherein when the livestock disease is determined to be diseased, the livestock average information is updated based on the health metadata. Disease control method.

The method of claim 8, wherein the occurrence of disease in the livestock is determined through a case in which any one of the health state metadata corresponding to the body temperature, the respiratory rate and the pulse is out of an error range, or the temperature and the respiratory rate, the temperature and the pulse and Livestock using a biosensor that is selectively made when any one of the conditions of the combination of respiratory rate and pulse is out of the error range or all of the above conditions of the temperature, respiratory rate and the intersection of the pulse is out of the error range How to control disease.