KR101218368B1 - Cattle managing system for improving the quality of meat and forecasting disease - Google Patents

Abstract

The present invention collects biometric information and livestock environment information of livestock individuals and analyzes the movement patterns of the livestock individuals, thereby providing a guide to the exercise prescription and feed intake of the livestock individuals to improve meat quality. And disease prediction systems.
The present invention relates to a system for improving meat quality and disease forecasting of livestock, which can predict disease of a livestock individual by analyzing the movement patterns and voice patterns of the livestock individual after collecting biometric information and livestock environment information of the livestock individual. will be.

Description

Cattle managing system for improving the quality of meat and forecasting disease}

The present invention collects biometric information and livestock environment information of livestock individuals and analyzes the movement patterns of the livestock individuals, thereby providing a guide to the exercise prescription and feed intake of the livestock individuals to improve meat quality. And disease prediction systems.

The present invention relates to a system for improving meat quality and disease forecasting of livestock, which can predict disease of a livestock individual by analyzing the movement patterns and voice patterns of the livestock individual after collecting biometric information and livestock environment information of the livestock individual. will be.

Currently, the world is rapidly moving toward the U (Ubiquitous) -Revolution through the Information Revolution, and thus almost all objects in everyday life such as home appliances, home appliances, and automobiles function as sensor nodes, thus forming wired and wireless networks between sensor nodes. Ubiquitous Sensor Network (USN), a communication technology based network, is expanding.

Sensor networks can be applied in many fields, from industry to everyday life, especially in connection with healthcare.

In other words, there are chips and sensors related to medical services in various places, and sensor network services that can receive medical services such as prevention, diagnosis, treatment, and follow-up care anytime, anywhere, such as in the home, office, and bus.

On the other hand, the livestock environment in Korea is rapidly contracted by the damage caused by disease and the change of trade environment.

First, the damage caused by various livestock diseases, such as foot-and-mouth disease, bovine spongiform encephalopathy (aka mad cow disease), fever, highly pathogenic and low-pathogenic poultry influenza, which have not been previously known, have reached a very serious condition. have.

In addition, the price competitiveness of domestic livestock products is expected to decrease due to the changes in the import and export environment following the opening of the FTA.

In other words, the Korea-EU FTA, which will enter into force in 2011, is expected to reduce production by 2 trillion won in the livestock sector, and reduce the production by 7 trillion won by the Korea-US FTA.

Therefore, the livestock environment in Korea is very urgently needed to reduce the damage caused by infectious diseases and to maintain the competitiveness with foreign livestock products through quality improvement.

Recently, some studies have been conducted using a sensor network for preventing livestock epidemic or managing livestock. In the following, the conventionally developed technologies will be reviewed.

First, Korean Patent Laid-Open Publication No. 10-2009-0090489 relates to an infectious disease management system of livestock including a sensor node and a disease management server, and characterized by determining the presence or absence of a disease using the health status average information of the livestock individual. Doing.

This is positive in that it analyzes the living body by using biometric information such as body temperature and pulse rate, but it does not describe the improvement of meat quality or the determination of disease based on the analysis of the movement pattern or activity of the livestock individual. .

Second, the Republic of Korea Patent Publication No. 10-2009-0011069 attaches a biosensor to the cattle to collect biometric information, and attach the GPS to the cattle in vitro to calculate different amounts of movement for the movement of cattle in the paddock and the night, It features a system to manage the health of cattle by attaching environmental sensors to collect information on the breeding environment.

This is positive in that it collects biometric information and breeding environment information and calculates the amount of exercise, but it does not describe the improvement of meat quality or the determination of disease based on the analysis of the movement patterns or activity of individual animals. .

An object of the present invention is to collect the biological information and livestock environment information of livestock individual, and then analyze the movement pattern of the livestock individual, and guide the exercise prescription and feed intake of the livestock individual to improve the meat quality. To improve and provide disease prediction systems.

An object of the present invention is to analyze the movement patterns and voice patterns of livestock individuals after collecting the biometric information and livestock environmental information of the livestock individual, thereby improving the quality of livestock and disease prediction system of the livestock individual In providing.

The present invention relates to a meat quality improvement and disease prediction system of a livestock, including a Warangang health terminal, a barn hub system, a health care server, and a meat quality database, wherein the Warangang health terminal is attached to the livestock to obtain biometric information of a livestock individual. , The barn hub system obtains environmental information of the barn, the health care server analyzes the exercise information included in the biometric information, extracts the exercise pattern, analyzes the calories burned, and the weight information and the meat quality included in the environment information. By using the information database, to provide a livestock meat improvement and disease prediction system, characterized in that to provide exercise prescription for improving the meat quality of the individual, to solve the technical problem.

The present invention relates to a meat quality improvement and disease prediction system of a livestock including a warang health terminal and a health care server, wherein the warang health terminal is attached to the livestock to obtain biometric information of a livestock individual, and the health care server comprises: The technical problem is solved by providing a system for improving the meat quality and disease prediction of livestock, characterized by analyzing the exercise pattern and the voice information included in the information, and extracting and analyzing the exercise pattern and the voice pattern. I would like to.

In the present invention, the meat quality improvement and disease prediction system collects the biometric information and livestock environment information of the livestock individual and analyzes the movement pattern of the livestock individual, thereby improving the meat quality by guiding the exercise prescription and feed intake of the livestock individual. It has a significant effect.

The present invention improves the meat quality and disease prediction system, and collects the biological information and livestock environment information of the livestock individual, and then analyzes the movement pattern and the voice pattern of the livestock individual, thereby remarkably effective to predict the disease of the livestock individual. Holds.

1 and 2 are the main configuration of the meat quality improvement and disease prediction system of the livestock according to an embodiment of the present invention.
3 is a diagram schematically showing an example of a Warang health terminal which is a component of a livestock meat improvement and disease prediction system according to an embodiment of the present invention.
4 is a view schematically illustrating an example of a system for improving meat quality and disease prediction according to another embodiment of the present invention.
5 is a view showing an example of a disease prediction process applied to the meat quality improvement and disease prediction system of the livestock according to an embodiment of the present invention.

The terms and words used in the present specification and claims should not be construed as limited to ordinary or dictionary terms and the inventor may properly define the concept of the term in order to best describe its invention It should be construed as meaning and concept consistent with the technical idea of the present invention.

Therefore, the embodiments described in the present specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention and are not intended to represent all of the technical ideas of the present invention. Therefore, various equivalents It should be understood that water and variations may be present.

Before describing the present invention with reference to the accompanying drawings, it should be noted that the present invention is not described or specifically described with respect to a known configuration that can be easily added by a person skilled in the art, Let the sound be revealed.

1 and 2 are the main configuration of the meat quality improvement and disease prediction system of the livestock according to an embodiment of the present invention.

Livestock quality improvement and disease prediction system according to an embodiment of the present invention includes a Warang health terminal 100, barn herb system 200, pasture herb system 300 and the health care server 400.

Preferably, the system according to an embodiment of the present invention is revealed in advance that can be designed to operate in conjunction with a livestock research institute system, disease control center system and a monitoring system built on a farm.

Preferably, the health care server 400 may be located in a barn, livestock research center or a related institution, as well as some modules included in the health care server 400 according to the design conditions of the Warang health terminal 100, the livestock hub system. Note that it may be included in the 200, the paddock hub system 300 or other interlocked system, or vice versa.

Preferably, the Warangang health terminal 100, barn herb system 200, the paddock herb system 300 and the healthcare server 400 are each act as a sensor node, it is designed to operate in an operating system designed for the sensor network.

For example, an operating system such as TinyOS, MANTIS, PEEROS, or T-Engine may be applied, and the wireless network may adopt a Zigbee communication technology, which is a short range wireless communication technology.

Warang health terminal 100 is a component attached to livestock, such as cattle and pigs, and performs the function of recognizing the biological information of the livestock individual and transmits to the healthcare server (400).

Preferably, the Warang health terminal 100 is given an identification number to be configured to identify which livestock terminal is attached to, for example, each Warang health terminal 100 can be designed to have each node ID have.

The Warang health terminal 100 includes a GPS module, a gyro sensor, a pulse detector, an oxygen saturation detector, a thermometer, a voice sensor, and a USN communication module.

Depending on the design conditions, the voice sensor may be configured to be included in the livestock hub system 200 or both.

The GPS module mainly recognizes the location and movement trajectory of the grazing animal, generates location and movement trajectory information, and stores it in a memory (not shown) provided in the Warang health terminal 100.

Preferably, the information stored in the memory at a predetermined time or a predetermined time interval in the system is transmitted to the healthcare server 400 through the USN communication module included in the Warang health terminal 100 or the paddock hub system 300. .

In addition, similarly, the biometric information of the livestock individual generated by each of the components included in the Warang health terminal 100 is configured to be transmitted in the same manner as the position and the movement trajectory information generated by the GPS module.

For example, if TinyOS is adopted as the operating system of the sensor network, the message transmitted by the USN communication module may follow the TOS_Msg rule. In this case, the node ID is inserted into the payload and transmitted.

Depending on the design conditions, it can of course be configured to follow other operating system and message rules for the purposes of the present invention.

The gyro sensor is a component that generates activity amount information by recognizing the activity amount and motion of the livestock individual in real time, and a mechanical or optical gyro sensor may be employed according to the design conditions of the Warang health terminal 100.

The pulse detector detects the pulse of the livestock individual in real time to generate pulse information. Similarly, the oxygen saturation detector generates oxygen saturation information, the body temperature information, and the voice sensor generates voice information in real time.

3 is a diagram schematically showing an example of a Warang health terminal which is a component of a livestock meat improvement and disease prediction system according to an embodiment of the present invention.

The thermometer is an MLX90614 model that uses infrared light to measure skin temperature of livestock individuals. A memory or the like for temporarily storing biometric information is shown.

Here, the Warang health terminal of FIG. 3 is one example, and according to design conditions, different types of models may be employed for each component.

The barn hub system 200 performs a function of recognizing the environment information of the barn and transmitting it to the healthcare server 400.

The barn hub system 200 includes a CCTV camera, a temperature sensor, a humidity sensor, a carbon dioxide detector, a weight sensor, a feed intake sensor, a thermal camera (not shown), and a USN communication module.

Preferably, the information recognized by each component included in the livestock hub system 200 is stored in a memory (not shown) and according to a predetermined time or at a preset time interval, the healthcare server 400 through the USN communication module. Is sent).

The CCTV camera not only generates image information of the livestock individual but also functions as a sensor capable of recognizing the movement or motion of the livestock individual.

Preferably, the CCTV camera may be configured to interlock with a gyro sensor included in the Warang health terminal 100 or to interlock with an exercise pattern analysis module included in the healthcare server 400.

For example, when there is an abnormality in the activity information generated by the gyro sensor, the CCTV camera may focus on the movement of a livestock individual showing an abnormal activity, or focus on the livestock individual analyzed by the exercise pattern analysis module as an abnormal symptom. It may be configured to drive a CCTV camera.

The temperature sensor detects the livestock's temperature in real time to generate the livestock's temperature information. Similarly, the carbon dioxide detector generates livestock's carbon dioxide information in real time.

A thermal camera is a component that can measure body temperature, and in particular, it may be applied to a pig house and may be excluded depending on design conditions.

Weight sensor is a component that can measure the weight of the livestock individual, for example can be installed to be configured on the bottom of the barn.

Feed intake sensor is a component that can measure the amount of feed intake supplied to livestock individuals, can be provided with the measurement in conjunction with the livestock feed system according to the design conditions.

The paddock herb system 300 performs a function of transmitting the biometric information of the livestock objects in the paddock to the healthcare server 400 completely, and generates components for recognizing and generating separate paddock environment information according to design conditions. It may include.

The healthcare server 400 comprehensively analyzes the biological information of the livestock individual transmitted from the Warangan health terminal 100 and the environmental information transmitted from the barn hub system 200 to improve meat quality and predict disease. It mainly performs a function.

The healthcare server 400 includes a pattern analyzer 410, a meat quality enhancer 420, a disease predictor 430, and a healthcare database 440.

According to the design conditions, it is found in advance that the module included in each component included in the healthcare server 400 may be configured to be included in other components in the healthcare server 400 or vice versa. Put it.

First, the healthcare database 440 includes a barn information database and an individual information database, and the biometric information and barn of the livestock individual transmitted from the Warangang health terminal 100, the barn herb system 200, and the paddock herb system 300. Collect environmental information and store by individual and livestock.

The pattern analysis unit 410 analyzes the information on the movement and voice (crying) of the livestock individual among the information transmitted from the Warangang health terminal 100, the barn herb system 200, and the paddock herb system 300. As a configuration to perform, includes a motion pattern analysis module and a voice pattern analysis module.

The pattern analysis unit 410 analyzes the movement pattern and the voice pattern of the livestock individual and transmits the result to the meat quality improving unit 420, the disease prediction unit 430, and the healthcare database 440.

The exercise pattern analysis module manages and analyzes the movement pattern of the livestock individual by using the activity information generated by the gyro sensor, the position and motion trajectory information generated by the GPS module, and the image information captured by the CCTV camera.

Preferably, the exercise pattern analysis module extracts the exercise pattern of each livestock individual by integrating the movement related information for each livestock individual.

For example, the movement and frequency of the fixed posture of the livestock individual in the barn, how many times per hour it shakes from side to side, the sudden fall or staggering movement, etc. are mainly extracted using the activity information transmitted by the gyro sensor.

In addition, the movement information of the livestock individual in the paddock is extracted by using the position and movement trajectory information generated by the GPS module.

In addition, by configuring the gyro sensor and the CCTV camera to be interlocked, the image information when there is a sudden fall or staggering movement of livestock individuals can use the image information generated by driving the CCTV camera.

Preferably, the exercise pattern module is configured to include a learned exercise pattern database to perform a comparison between the exercise pattern of the livestock individual and the learned exercise pattern.

For example, the learned exercise pattern database is composed of a database that statistically collects and analyzes the activity and motion of livestock individuals in the same system as the system of the present invention.

Preferably, the exercise pattern analysis module is configured to determine the degree of deviation of the exercise pattern of the livestock individual by comparing the activity amount and motion of the livestock individual with the learned exercise pattern database among the activity information transmitted from the gyro sensor.

The voice pattern analysis module manages and analyzes the voice pattern of the livestock individual by using the voice information generated from the voice sensor included in the Warang Health Mill 100 and / or the barn hub system 200.

Preferably, the voice pattern module is configured to include a learned voice pattern database so as to perform a comparison between the voice pattern of the livestock individual and the learned voice pattern.

In one example, the learned voice pattern database is composed of a database that statistically collects and analyzes the voice movement patterns of livestock individuals in the same system as the system of the present invention.

Preferably, the voice pattern analysis module is configured to determine the degree of deviation of the voice pattern of the livestock individual by comparing the voice information transmitted by the voice sensor with the learned voice pattern database.

The meat quality improving unit 420 collects the information of the exercise pattern analysis module and the individual information database, calculates the calories burned for each individual animal, and guides the activity and feed intake information including the exercise prescription.

Meat quality improvement unit 420 includes a calorie analysis module, activity guide module, feed intake guide module and meat information database.

The consumed calorie analysis module analyzes the consumed calories using the exercise pattern information transmitted from the exercise pattern analysis module.

Activity guide module based on livestock individual's movement pattern information, calorie consumption information and livestock individual information stored in the individual information database, and compared with the information stored in the meat quality information database, the future exercise prescription for livestock individual You will be guided through the amount of activity, including.

Preferably, the meat quality information database includes various kinds of information for obtaining quality meat, and is configured such that, for example, activity amount information corresponding to maximum age of development and development period is stored.

The feed intake guide module guides the future feed intake for the livestock individual based on the movement pattern information of the livestock individual, consumption calorie information, information stored in the meat quality information database and livestock individual information stored in the individual information database. do.

Preferably, the meat quality information database is configured to store appropriate feed intake information according to feed intake and development period.

Preferably, the guide information provided by the activity guide module and the feed intake guide module is transmitted to the farm monitoring system linked with the system according to the present invention, so that the farm owner can continuously check.

The disease prediction unit 430 is configured to perform disease prediction on the livestock individual based on information provided by the biometric information on the livestock individual, the information on the livestock environment, and the pattern analyzer 400.

The disease prediction unit 430 is configured to include a barn information analysis module, individual information analysis module, disease prediction module and disease information database.

The barn information analysis module analyzes the environment information of the barn using the barn information database to determine whether the barn environment is normally operated.

Preferably, the barn information analysis module is configured to prepare the appropriate environment information and the current barn environment information included in the disease information database.

The individual information analysis module performs a function of determining the health state of the livestock individual by using the exercise pattern information and the voice pattern information analyzed by the biometric information and pattern analysis unit 410 of the livestock individual included in the individual information database. .

The disease prediction module aggregates the exercise pattern information and the voice pattern information transmitted from the barn information analysis module, the individual information analysis module, and the pattern analysis unit 410, and performs a function of predicting the disease of the livestock individual.

Preferably, the disease prediction module is configured to perform a function of comparing and analyzing the disease information contained in the disease information database and the current livestock individual information.

4 is a view schematically showing a meat quality improvement and disease prediction system of a livestock according to another embodiment of the present invention.

Livestock quality improvement and disease prediction system according to another embodiment of the present invention may be configured to include a different analysis module in addition to each configuration in accordance with one embodiment or to be linked to a separate configuration.

Referring to FIG. 4, the Warang health terminal 100 may further include a respiratory sensor, or be configured to interwork with an external weather sensor system, or may be configured to interlock with a feed and drinking water supply system and a barn environment control system.

5 is a view showing an example of a disease prediction process applied to the meat quality improvement and disease prediction system of the livestock according to an embodiment of the present invention.

First, although FIG. 5 illustrates a process of predicting a disease based on body temperature, barn temperature, crying pattern (negative pattern) and exercise pattern, the disease is predicted by comparison with other biometric information, environmental information, and related databases. It can be configured to be configured to.

In addition, Fig. 5 is shown with the interlocking process with the barn environment control system, it is noted that it may be changed or missing depending on the design conditions.

Referring to Figure 5, when the body temperature and the temperature of the livestock individual exceeds the normal value, it is configured to transmit emergency warning information when the voice pattern or exercise pattern or abnormal temperature of the body temperature is persistent.

1 to 5 described above, only the main matters of the present invention have been described, and as long as various designs are possible within the technical scope, the present invention may be applied to the configurations and functions of FIGS. 1 to 5. It is obvious that it is not limited.

100: Warang health terminal 200: barn hub system
300: pasture herb system 400: healthcare server
410: pattern analysis unit 420: meat quality improvement unit
430: Disease Prediction 440: Healthcare Database

Claims (6)

Warang Health Terminal; Barn hub system; As related to meat quality improvement and disease prediction system of livestock, including a health care server and meat quality information database,
Warang health terminal is attached to the livestock to obtain the biometric information of the livestock individual,
The exercise information included in the biometric information includes activity information, position and exercise trajectory information generated by recognition by the gyro sensor and the GPS module included in the Warang health terminal, respectively;
The barn hub system acquires the environment information of the barn,
The CCTV camera included in the livestock hub system generates image information of the livestock individual;
The healthcare server analyzes the exercise information and the image information included in the biometric information, extracts the exercise pattern, analyzes the calories burned, and uses the weight information and the meat quality information database included in the environment information, A meat quality improvement and disease prediction system of a livestock, characterized in that to provide exercise prescription for meat quality improvement. delete The method of claim 1,
The healthcare server provides the feed intake information for improving the meat quality of the livestock individual by using the analyzed calorie information, the weight information and the meat quality information database, and the feed intake information included in the environmental information. Characterized in that, livestock quality improvement and disease prediction system. Warang Health Terminal; And It relates to a meat quality improvement and disease prediction system, including a health care server,
Warang health terminal is attached to the livestock to obtain the biometric information of the livestock individual,
The exercise information included in the biometric information includes activity information, position, and motion trajectory information generated by recognizing each of the gyro sensor and the GPS module included in the Warang health terminal.
The voice information included in the biometric information is information generated by being recognized by a voice sensor included in the Warang health terminal;
The health care server may analyze the exercise information and the voice information, respectively, and extract and analyze the exercise pattern and the voice pattern to predict disease of the livestock individual. delete The method of claim 4, wherein
Barn hub system; And disease information database;
The barn hub system acquires environmental information including the temperature of the barn;
The health care server, in addition to the exercise pattern and voice pattern information, characterized in that to further predict the disease of the livestock object using the barn temperature and the disease information database, livestock quality improvement and disease prediction system.

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