KR20180089957A - Cow health care system and method based on big data analysis - Google Patents

Abstract

According to an embodiment of the present invention, a cow health care system based on big data analysis comprises: an entity sensor inserted into a cow, and detecting sensing data including at least one among a body temperature, an activity, and a position of the cow; a plurality of access points (APs) installed in a space where the cow moves, collecting the sensing data from the entity sensor by performing data communication with the entity sensor through a wireless communication network, and processing the collected sensing data to distribute a load in processing information for the collected sensing data; and a server for analyzing a health state of the cow by receiving the processed sensing data from the plurality of APs, and providing health information of the cow based on an analysis result of the health state.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and system for managing a tuna,

BACKGROUND OF THE INVENTION 1. Field of the Invention [0002] Embodiments of the present invention relate to toumere control, and more particularly, to a tide management system and method based on big data analysis.

Livestock duties are a combination of sequential tasks that are patterned in sequence according to the growth and breeding stages of the fowl and one - off tasks that must cope with sudden occurrences. As all fowls can not grow equally, the larger the farm, the more complex the tasks and scheduling are involved, which is often an essential task and often misses. Such delays may lead to a delay of about 20 days in small quantities and a drop in milk production, largely due to sickness and culling of cattle.

It is very important to judge the correct timing of livestock in this way. Most of the time when the estrus is most likely to occur is usually less than 10 hours. If this time is missed, about 20 I have to wait for more work. Then, as the pregnancy is delayed, the milk production is reduced and the calf production is delayed. This leads to lower productivity and higher costs of livestock farmers. Therefore, the automated livestock scheduling and notification functions are very important.

Existing livestock smart systems are limited to the real-time health information confirmation and notification function as described above, and there is a problem that the accuracy is low because it does not include the analysis data such as the test data and the flow rate and the feed intake. Therefore, there is a need to provide more advanced management services, not only to increase accuracy and reliability, but also to notify of risk and management demand, by collectively analyzing the monthly, daily, and real-time health information of the females.

A related prior art is Korean Patent Registration No. 10-0926577 entitled " Livestock Management Device Using Livestock Check Loaded with Temperature Sensor, Date of Registration: 2009.11.05 ".

One embodiment of the present invention relates to sensing data including temperature, activity amount, and position of a fowl, environmental and geographical characteristics (for example, in the case of a house, a grazing field, And provides a more accurate health information on the basis of the result of analyzing the health state of the females by applying a weight according to the weight data of the females.

The problems to be solved by the present invention are not limited to the above-mentioned problem (s), and another problem (s) not mentioned can be clearly understood by those skilled in the art from the following description.

A big data analysis based on a pantomime management system according to an embodiment of the present invention includes an object sensor that is attached to or inserted into a fowl and detects sensing data including at least one of body temperature, activity amount, and position of the fowl; And a control unit that is installed in the space in which the fur work is performed and collects the sensing data from the object sensor by performing data communication with the object sensor through a wireless communication network and distributes the load of the information processing to the collected sensing data A plurality of sensor APs (Access Points) for processing the collected sensing data; And a server receiving the processed sensing data from the plurality of sensor APs and analyzing the health state of the females and providing the health information of the females based on the analysis result of the health state.

An object sensor module for sensing at least one of body temperature, activity amount and position of the femur to detect the sensing data; An object memory for storing the sensing data detected by the object sensor module; And an entity communication chip for performing data communication with the sensor AP and transmitting the sensing data to the sensor AP.

Wherein the object sensor module measures a movement displacement of the tilt using at least one of a gyro sensor and an acceleration sensor based on coordinate information of a position where each of the plurality of sensors AP is installed, It is possible to sense at least one of the activity amount and the position of the females.

The object sensor module senses at least one of the activity amount and the position of the females by using coordinate information of a position where each of the plurality of sensors AP is installed and a time difference between signals transmitted and received by each of the plurality of sensor APs Or at least one of the activity amount and the position of the females by using the coordinate information of the position where each of the plurality of sensors AP is installed and the RSSI of the signal received from each of the plurality of sensor APs.

Wherein the sensor AP comprises: an AP communication chip for performing data communication with the object sensor and receiving the sensing data from the object sensor; An AP memory for storing the sensing data received from the object sensor; An AP sensor module for sensing environmental information including at least one of a temperature and a humidity in a space in which the females act; And noise filtering is performed on the sensed data stored in the AP memory to remove noise and a weight is calculated according to environmental characteristics in a space in which the fur work is performed based on the environmental information, And an AP processor for correcting the noise-removed sensing data by using a weight according to the weight.

The AP processor acquires weather information of an area including a space where the tussle is active, in association with a meteorological service server, and calculates a weight based on the regional characteristics related to the space where the tussle is active based on the weather information , And the sensed data from which the noise has been removed can be corrected using the weight according to the regional characteristics.

Wherein the sensor module for an object includes a microphone for sensing sound data by sensing the sound of the females, and when the AP processor receives the sound data from the object sensor via the AP communication chip, And the pattern data stored in the memory for AP is compared with a previously stored sound pattern to determine whether the sound data is meaningful data. When the sound data is meaningful data, the sound data is transmitted to the server Or may instruct the server to transmit only the information on the number of times and the time of the sound pattern of the sound data in consideration of the overload of the server.

The big data analysis-based trough management system according to an embodiment of the present invention is installed in a computer that is installed in a space in which the trough is active and stores record information, Wherein the daily feed data and the monthly feed amount are recorded as daily record data, and the monthly record data is collected as monthly record data, and the daily record data and the record including the monthly record data Further comprising a data collection program for transmitting the information to the server, wherein the server can analyze the health status of the females using the recorded information together with the processed sensing data.

The sensor AP according to an embodiment of the present invention performs data communication with an object sensor attached to or inserted into a femur via a wireless communication network and transmits sensing data including at least one of body temperature, An AP communication chip for receiving the AP; An AP memory for storing the sensing data received from the object sensor; An AP sensor module for sensing environmental information including at least one of a temperature and a humidity in a space in which the females act; And noise filtering is performed on the sensed data stored in the AP memory to remove noise and a weight is calculated according to environmental characteristics in a space in which the fur work is performed based on the environmental information, And an AP processor for correcting the noise-removed sensing data by using a weight according to the weight.

According to an embodiment of the present invention, there is provided a method of managing a females based on big data analysis, comprising the steps of: detecting sensing data including at least one of body temperature, activity amount, and position of the females; Collecting the sensing data from the object sensor by performing a data communication with the object sensor through a wireless communication network, wherein a plurality of sensor APs installed in the space where the weaving is active; Processing the collected sensing data to distribute a load of information processing on the collected sensing data; The server receiving the processed sensing data from the plurality of sensor APs and analyzing the health condition of the females; And providing the health information of the females based on an analysis result of the health state of the server.

The details of other embodiments are included in the detailed description and the accompanying drawings.

According to one embodiment of the present invention, the sensing data including the temperature, the amount of activity, and the position of the females are weighted and corrected (corrected) according to the environmental and geographical characteristics in the space where the females are active, The health status can be more accurately analyzed and more accurate health information can be provided based on the result.

FIG. 1 is a block diagram for explaining a big data analysis-based performance management system according to an embodiment of the present invention.
2 is a view showing a detailed configuration of the object sensor of FIG.
3 is a diagram showing the detailed configuration of the plurality of sensor APs in Fig.
FIG. 4 is a block diagram for explaining a big data analysis-based performance management system according to another embodiment of the present invention.
FIG. 5 is a flowchart illustrating a method of managing a females based on a big data analysis according to an embodiment of the present invention.
FIG. 6 and FIG. 7 are flowcharts illustrating a balancing process for processing collected sensing data in a big data analysis-based tune management method according to an exemplary embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and / or features of the present invention, and how to accomplish them, will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. It should be understood, however, that the invention is not limited to the disclosed embodiments, but is capable of many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, To fully disclose the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are intended to provide further explanation of the invention as claimed. The configuration is omitted as much as possible, and a functional configuration that should be additionally provided for the present invention is mainly described. Those skilled in the art will readily understand the functions of components that have been used in the prior art among the functional configurations that are not shown in the following description, The relationship between the elements and the components added for the present invention will also be clearly understood.

In the following description, terms such as "transmission", "communication", "transmission", "reception", and the like of a signal or information means that a signal or information is directly transmitted from one component to another As well as being transmitted via other components. In particular, "transmitting" or "transmitting" a signal or information to an element is indicative of the final destination of the signal or information and not a direct destination. This is the same for "reception" of a signal or information.

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

FIG. 1 is a block diagram for explaining a big data analysis-based performance management system according to an embodiment of the present invention.

Referring to FIG. 1, a big data analysis based pedometer management system 100 according to an embodiment of the present invention includes an object sensor 110, a plurality of sensor APs 120, and a server 130 .

The object sensor 110 may be attached to or inserted into the fuselage. For example, the object sensor 110 may be attached to the ear of a cattle in the form of an earring or attached to the neck of the cattle by a necklace, or may be inserted directly into the skin of the cattle.

The object sensor 110 may detect sensing data including body temperature, activity amount, and position of the females in a state where the object sensor 110 is attached to or inserted into the females. 2, the object sensor 110 includes an object sensor module 210, a memory 220 for an object, a communication chip 230 for an object, and a controller 240 for an object . 2 is a view showing a detailed configuration of the object sensor 110 of FIG.

The object sensor module 210 may sense at least one of body temperature, activity amount, and position of the females to detect the sensing data. Here, the sensed data may be used as a basic data for analyzing the health condition related to the disease, estrus, etc. of the fowl.

In order to detect the sensing data, the object sensor module 210 may include a temperature sensor, a gyro sensor, an acceleration sensor, and the like. The object sensor module 210 may sense the body temperature of the females through the temperature sensor and measure the angular velocity and acceleration according to the motion of the females through the gyro sensor and the acceleration sensor, Activity amount and position can be sensed.

The object sensor module 210 may further include a microphone for sensing sounds of the feces and detecting sound data. That is, the microphone can sense the sound data generated during the rafting of the cattle, the feed intake, the emotional state, and the like, thereby detecting the sound data.

Here, the sound data may be utilized as basic data for analyzing the health state of diseases, estrus, etc., of the feces, as well as the sensing data. For reference, the sound data may have different specific patterns depending on the respective conditions such as rearing, feed ingestion, estrus, and the like in case of a sickness with an illness or estrus, and the AP processor 120 of the sensor AP 120 (Refer to "340" in FIG. 3), it is possible to determine whether the data is meaningful (disease, estrus, etc.). We will discuss this in detail later.

Methods for sensing the activity and position of the females will be described in more detail as follows.

As a first method, the sensor module 210 for an individual uses the coordinate information of the position where each of the plurality of sensor APs 120 is installed, using at least one of the gyro sensor and the acceleration sensor, And the activity amount and position of the females can be sensed using the measured displacement.

In other words, the object sensor module 210 measures the displacement of the object along the direction and the distance using the angular velocity and the acceleration sensed through the gyro sensor and the acceleration sensor, 120 can be more precisely measured based on coordinate information on which each of the first and second coordinate systems is located. The sensor module 210 for an individual can sense the amount of activity and the position of the females by using the measured values of the moving displacement with respect to the direction and distance of the females.

In the second method, the sensor module for an object 210 includes coordinate information of a position where each of the plurality of sensor APs 120 is installed, and coordinate information of a position where the object sensor 110 transmits / receives each of the sensor APs 120 It is possible to sense the activity amount and the position of the females using the time difference of the signals.

In other words, the sensor module 210 for an individual uses the time difference between signals transmitted and received by the object sensor 110 to and from the plurality of sensor APs 120, And the direction from each of the plurality of sensor APs 120 to the axis can be determined using the coordinate information of the position where each of the plurality of sensor APs 120 is installed. Accordingly, the sensor module 210 for an individual can sense the amount of activity and the position of the females using the distance and direction from each of the plurality of sensor APs 120 to the females.

In the third method, the sensor module 210 for an object measures coordinate information of a position where each of the plurality of sensor APs 120 is installed and RSSI of a signal received from each of the plurality of sensor APs 120 It is possible to sense the activity amount and the position of the females.

In other words, the distance from each of the plurality of sensor APs 120 to the axis can be determined using the RSSI of the signal received from each of the plurality of sensor APs 120, It is possible to determine the direction from each of the plurality of sensor APs 120 to the axis using the coordinate information of the position where each of the APs 120 is installed. Accordingly, the sensor module 210 for an individual can sense the amount of activity and the position of the females using the distance and direction from each of the plurality of sensor APs 120 to the females.

The object memory 220 may store the sensing data detected by the object sensor module 210. In addition, the object memory 220 may store the sound data detected by the object sensor module 210. At this time, the entity memory 220 may function as a buffer for temporarily storing the sensing data and the sound data.

The object communication chip 230 performs data communication with the sensor AP 120 through a low power long distance communication network LPWAN and transmits the sensed data temporarily stored in the object memory 220 to the sensor AP 120. [ Lt; / RTI > The object communication chip 230 performs data communication with the sensor AP 120 through the low power long distance communication network LPWAN and transmits sound data temporarily stored in the object memory 220 to the sensor AP 120 in real time.

Here, the low-power long-distance communication network (LPWAN) is for minimizing the size of the battery by minimizing the power consumption of the object sensor 110. For example, there are various methods such as LoRa, ZigBee, RFID, BLE, One or more of these communication methods may be used depending on the characteristics of each communication method and the technical needs.

The controller 240 for an entity can control operations of the object sensor 110 such as the object sensor module 210, the object memory 220 and the object communication chip 230 have.

Referring again to FIG. 1, the plurality of sensor APs 120 may be installed in the space S in which the tilting operation is performed. At this time, the plurality of sensor APs 120 may be spaced apart from each other by a predetermined distance. As described above, coordinate information of a position where the sensor APs 120 are installed can be preset to each of the plurality of sensor APs 120, and the coordinate information is transmitted to the object sensor 110, And so on.

The plurality of sensor APs 120 may communicate with the object sensor 110 through a low-power long-distance communication network (LPWAN) to collect the sensing data from the object sensor 110. The plurality of sensor APs 120 may perform a balancing process of processing the collected sensing data to distribute the load of the information processing on the collected sensing data.

Hereinafter, the detailed configuration of the plurality of sensor APs 120 will be described in detail with reference to FIG.

3, the sensor AP 120 includes an AP communication chip 310, an AP memory 320, an AP sensor module 330, an AP processor 340, an AP controller 350, . ≪ / RTI >

The AP communication chip 310 may receive the sensing data from the object sensor 110 by performing data communication with the object sensor 110 through the low power long distance communication network LPWAN. The AP communication chip 310 may receive the sound data from the object sensor 110 by performing data communication with the object sensor 110 through the low power long distance communication network LPWAN.

The AP memory 320 may store the sensing data received from the object sensor 110. Also, the AP memory 320 may store the sound data received from the object sensor 110. At this time, the AP memory 320 may store the sensing data and the sound data for a predetermined period of time. Accordingly, the sensor AP 120 can regularly collect the sensed data and the sound data, which are basic data related to the health state analysis of the females.

The AP sensor module 330 can sense environmental information including temperature, humidity, and the like in the space S in which the fog is active. For this purpose, the AP sensor module 330 may include a temperature sensor, a humidity sensor, and the like. Here, the environment information may further include data such as sound and temperature in addition to the temperature and humidity as described above. To this end, the AP sensor module 330 may further include a microphone and a speaker for sensing or outputting sound.

The AP sensor module 330 can sense a sound generated in the space S in which the females act through the microphone. At this time, the sound to be sensed is not the data generated individually, but the data collectively generated in the space S in which the females are active, for example, the sound (replay, feed intake, estrus, etc.) , Equipment sounds, wind sounds, and the like.

The AP sensor module 330 can output sound through the speaker in the space S where the fowl is active. At this time, the output sound may be a sound for stability of the tune, a sound for a pop-up sound, or may be output through a streaming method or the like through selection control through the server 130.

The AP processor 340 performs a balancing process of processing the collected sensing data to disperse the load of information processing on the sensing data stored (collected) in the AP memory 320 .

In one embodiment, the AP processor 340 may remove noise by performing noise filtering on the sensing data stored (collected) in the AP memory 320. For example, the AP processor 340 transmits to the server 130 the noise data generated in the AP sensor module 330 itself, the information about the activity amount of the females, It can be deleted by itself before noise filtering.

The AP processor 340 may calculate a weight based on environmental characteristics in the space S in which the fur work is performed based on the environment information sensed by the AP sensor module 330. [ For example, in the case of a hot and humid season such as summer, the temperature of the snow increases and the amount of activity decreases, whereas in the cold season such as winter, the temperature of the snow decreases and the activity tends to increase. Therefore, in the present embodiment, it is necessary to correct the temperature, the amount of activity, the position, and the like of the sensed data from which noise has been removed in consideration of environmental factors such as seasons. To this end, the AP processor 340 may calculate a weight value according to environmental characteristics in the space S in which the fur work is performed, based on the temperature and humidity in the environment information.

The AP processor 340 may correct the noise-removed sensing data using a weight according to the environmental characteristic. For example, the AP processor 340 may reflect a weight according to the environmental characteristic, and may correct values of temperature, activity, position, etc. of the noise-removed sensing data according to environmental characteristics .

In another embodiment, the AP processor 340 can acquire weather information of an area including the space S in which the tussle is active, in association with a weather station server (not shown). For example, the AP processor 340 can acquire neighborhood weather (temperature, humidity, etc.) of the area including the space S in which the touched area is active from the weather station server as the weather information.

The AP processor 340 may calculate a weight based on the regional characteristics related to the space S in which the fur work is performed based on the weather information. The method of calculating the weight according to the regional characteristic is the same as or similar to the method of calculating the weight according to the environmental specification, so that a detailed description thereof will be omitted.

The AP processor 340 may correct the noise-removed sensing data using a weight according to the regional characteristics. For example, the AP processor 340 may reflect a weight according to the environmental characteristic, and may correct the temperature, activity amount, and position of the noise-removed sensed data according to regional characteristics.

In another embodiment, the AP processor 340 may calculate a weight according to environmental characteristics in the space S in which the fur work is performed based on the sound in the environment information. The AP processor 340 may correct the sound data stored (collected) in the AP memory 320 using the weight according to the environmental characteristic.

The AP processor 340 determines whether the sound data is meaningful data through a pattern analysis for comparing the sound data with the previously stored sound pattern (sound pattern related to an estrus, disease, etc.) in the AP memory 320 can do. That is, the AP processor 340 determines that the sound data is meaningful if the sound data coincides with the sound pattern previously stored in the AP memory 320, and determines that the sound data is meaningless if the sound data does not match .

The AP processor 340 may instruct the server 130 to transmit the sound data if the sound data is meaningful. Accordingly, the sensor AP 120 can transmit the sound data to the server 130 through a communication network.

At this time, the AP processor 340 may instruct the server 130 to transmit only the information on the number of times and the time of the sound pattern of the sound data, considering the overload of the server 130. [ Accordingly, the sensor AP 120 can transmit only the information about the number and time of the corresponding sound pattern to the server 130 through the communication network.

The AP controller 350 controls the AP AP 120, i.e., the AP communication chip 310, the AP memory 320, the AP sensor module 330, and the AP processor 340 Can be controlled in general.

Meanwhile, the sensor AP 120 may receive the battery remaining amount information from the object sensor 110 and transmit the received remaining battery amount information to the server 130. The server 130 may determine the battery replacement time of the object sensor 110 based on the battery remaining amount information received from the sensor AP 120. Based on the determination result, To a terminal owned by an owner or an administrator of the terminal). Thus, according to the embodiment of the present invention, the information (health information, etc.) for the management of the females can be continuously provided without interruption due to the power interruption, thereby enhancing the monitoring of the females management and improving the productivity.

Alternatively, the sensor AP 120 may receive the remaining battery level information from the object sensor 110 and directly transmit the remaining battery level information to the user terminal. In this case, an application to be described later may be installed in the user terminal. The application can determine the battery replacement time of the object sensor 110 based on the battery remaining amount information transmitted from the sensor AP 120. Based on the determination result, the application can output a battery replacement notification to the user terminal have.

Referring again to FIG. 1, the server 130 receives the processed (corrected) sensing data from the plurality of sensor APs 120, collects it for a long period of time, analyzes it through an analysis algorithm, can do. The server 130 may provide the health information of the females based on the analysis result of the health state.

At this time, on the basis of the comprehensive health status of each of the analyzed females, the server 130 automatically informs the veterinarian of the occurrence of the disease that the disease is suspected, The notification (health information) can be set to go. Of course, the celebration can be included in the notification by default.

Meanwhile, the server 130 is connected to the AP processor (see "330" in FIG. 3) of the plurality of sensor APs 120 and calculates a weighting value according to the environmental characteristic or a weighting value according to the local characteristic, Standards can be adjusted.

FIG. 4 is a block diagram for explaining a big data analysis-based performance management system according to another embodiment of the present invention.

4, a big data analysis-based performance management system 400 according to another embodiment of the present invention includes an object sensor 410, a plurality of sensor APs 420, a data collection program 430, 440).

The components of the tonometer management system 400 are the same as or similar to the tumbler management system 100 of FIG. 1 except for the data collection program 430. Therefore, in the present embodiment, the same components as those of the tonometer management system 100 of FIG. 1 are omitted from the components of the tonometer management system 400, and only the data collection program 430 is described in detail .

The data collection program 430 may be installed in the computer 432, which is installed in the space S where the fathom is active and stores the record information. The data collecting program 430 is a data collecting program for collecting the daily feed intake amount and the feed amount recorded from the automatic feeder (not shown) and the milking machine (not shown) provided in the space S, Can be collected. In addition, the data collection program 430 may collect monthly data as monthly record data through the computer 432. FIG.

The data collection program 430 may transmit the record information including the daily record data and the monthly record data to the server 440. [ In addition, the data collection program 430 may be used to manage other facilities related to housing (e.g., cooling / heating equipment, ventilating equipment, mist spraying, etc.) May be included in the record information and may be transmitted to the server 440.

At this time, the data collection program 430 may selectively transmit only the information necessary for livestock management and productivity improvement of the record information to prevent excessive data transmission. Accordingly, the server 440 can further analyze the health state of the females using the processed (corrected) sensing data and the record information.

For reference, the above-mentioned data is the same as the records of human health examinations, and includes not only the basic health information of the cattle, but also the records of milk quality such as milk flow rate, milk retention rate, protein content, solid content, It may include breeding information such as parity, number of days of labor, and interval of labor. The above test data are monthly records, and there is a limit to provide units of forecasts on a monthly basis. Therefore, in order to compensate for this, in this embodiment, daily recorded information can be analyzed through automated equipment such as feed automatic feeder and flow meter (milking machine). Thus, according to the present embodiment, it is possible to predict the aforementioned health conditions such as diseases, estrus, and pregnancy through the feed intake amount and the daily feed amount of each individual for each day, and it can be complemented with the information obtained through the test data You can provide detailed per-entity status.

Meanwhile, the big data analysis-based tonometer management system 400 according to another embodiment of the present invention may further include PC software, a web page, an application, etc., though it is not shown in the figure. Hereinafter, the additional components will be described in detail.

The PC software is used for real-time confirmation and history search of animal husbandry information processed in the server 440, automated livestock business scheduling and notification, management and document work, veterinarians, amendments, consultants, Group chat, etc., and has a more optimized usage environment especially for documenting work.

You can download the program from the web and install it on the PC that you want, and you can use it by inputting the ID and password after membership.

The farmer mode simplifies the information as much as possible and makes it easy and easy to understand through graphs and tables. In the administrator mode, the management authority is delegated to the farmer and the more specific data unit And confirm the information of various farms in one place.

The web page can be used for inputting an ID and a password without a setup process in a computer environment connected to a network, and most functions except for some technically impossible functions can be used for the same purpose as PC software.

The application can be downloaded and installed on a smart phone, a tablet, etc., can be used as an ID and a password input, and has a simplified use environment for easy use in a livestock work site.

It is mainly configured to facilitate confirmation of the livestock service scheduler and to manage business histories. Group chat with business stakeholders, confirmation of individual histories, health information, necessary measures, etc., Input and so on, so that it can be automatically interlocked without needing to input it separately in the document work later.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, controller, arithmetic logic unit (ALU), digital signal processor, microcomputer, field programmable array (FPA) A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing apparatus may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

FIG. 5 is a flowchart illustrating a method of managing a females based on a big data analysis according to an embodiment of the present invention. Since the big data analysis based on the present invention is only one embodiment of the present invention, various steps may be added according to need, and the following steps may be performed by changing the order, The present invention is not limited to the respective steps and the order described below.

1 and 5, in step 510, the object sensor 110 may detect sensing data including at least one of body temperature, activity amount, and position of the females.

Next, in step 520, a plurality of sensor APs 120 may communicate with the object sensor 110 through a low power long distance network (LPWAN) to collect the sensing data from the object sensor 110 have.

Next, in step 530, the plurality of sensor APs 120 may perform a balancing process of processing the collected sensing data to distribute the load of information processing on the collected sensing data. Hereinafter, the balancing process will be described in detail with reference to FIGS. 6 and 7. FIG.

First, referring to FIGS. 1 and 6, the balancing process will be described. In step 610, the plurality of sensor APs 120 measure the temperature and humidity in the space S It is possible to sense environment information including at least one.

Thereafter, in step 620, the plurality of sensor APs 120 may perform noise filtering on the sensing data stored in the AP memory (see "320" in FIG. 3) to remove noise.

Thereafter, in step 630, the plurality of sensor APs 120 may calculate a weight based on the environmental characteristics in the space S in which the fur work is performed based on the environmental information.

Thereafter, in step 640, the plurality of sensor APs 120 may use the weights according to the environmental characteristics to correct the noise-removed sensing data.

Next, another embodiment of the balancing process will be described with reference to FIGS. 1 and 7. In step 710, the plurality of sensor APs 120 communicate with a meteorological office server, S) can be obtained.

Thereafter, in step 720, the plurality of sensor APs 120 may calculate weights according to the regional characteristics related to the space S in which the furthest is active based on the weather information.

Thereafter, in step 730, the plurality of sensor APs 120 may correct the noise-removed sensing data using a weight according to the regional characteristics.

Referring again to FIGS. 1 and 5, in step 540, the server 130 may receive the processed sensing data from the plurality of sensor APs 120 to analyze the health state of the females.

Next, in step 550, the server 130 may provide the health information of the females based on the analysis result of the health state.

The method according to an embodiment may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions to be recorded on the medium may be those specially designed and configured for the embodiments or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical media such as CDROMs, DVDs, magneto-optical media such as floptical disks, Magneto-optical media, and hardware devices specifically configured to store and perform program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

110, 410: object sensor
120, 420: Sensor AP
130, 440: server
210: Sensor module for object
220: Memory for the object
230: Communication chip for objects
240: control unit for the object
310: AP communication chip
320: Memory for AP
330: Sensor module for AP
340: AP processor
350: Control unit for AP
430: Data collection program
432: Computer

Claims (10)

An object sensor attached to or inserted into the femur to detect sensing data including at least one of body temperature, activity amount and position of the femur;
And a control unit that is installed in the space in which the fur work is performed and collects the sensing data from the object sensor by performing data communication with the object sensor through a wireless communication network and distributes the load of the information processing to the collected sensing data A plurality of sensor APs (Access Points) for processing the collected sensing data; And
A server for receiving the processed sensing data from the plurality of sensor APs and analyzing the health state of the cattle and providing health information of the cattle based on the analysis result of the health state,
Wherein the big data analysis based on the tactile feedback data is based on the large data analysis.
The method according to claim 1,
The object sensor
An object sensor module for sensing at least one of body temperature, activity, and position of the femur to detect the sensing data;
An object memory for storing the sensing data detected by the object sensor module; And
An object communication chip for performing data communication with the sensor AP and transmitting the sensing data to the sensor AP;
Wherein the large data analysis-based tennial managing system comprises:
3. The method of claim 2,
The object sensor module
Measuring movement displacements of the flank using at least one of a gyro sensor and an acceleration sensor based on coordinate information of a position where each of the plurality of sensors AP is installed, Wherein the at least one of the at least one of the plurality of sensors is sensed.
3. The method of claim 2,
The object sensor module
Sensing at least one of an activity amount and a position of each of the plurality of sensors AP by using the coordinate information of the position where each of the plurality of sensors AP is installed and the time difference between the signals transmitted and received by each of the plurality of sensor APs, AP based on coordinate information of positions at which the APs are installed, and intensity (RSSI) of a signal received from each of the plurality of sensor APs. Management system.
3. The method of claim 2,
The sensor AP
An AP communication chip for performing data communication with the object sensor and receiving the sensing data from the object sensor;
An AP memory for storing the sensing data received from the object sensor;
An AP sensor module for sensing environmental information including at least one of a temperature and a humidity in a space in which the females act; And
And a weight calculation unit for calculating a weight according to environmental characteristics in a space in which the fur work is performed based on the environmental information, An AP processor for correcting the noise-removed sensing data by using a weight,
Wherein the big data analysis based on the tactile feedback data is based on the large data analysis.
6. The method of claim 5,
The AP processor
In association with the weather service server, obtains weather information of a region including the space where the females are active, calculates a weight based on the regional characteristics related to the space where the females are active based on the weather information, And corrects the noise-removed sensed data using a weight based on the weight data.
6. The method of claim 5,
The object sensor module
A microphone for sensing the sound of the tilt and detecting sound data
Lt; / RTI >
The AP processor
When the sound data is received from the object sensor through the AP communication chip, it is determined whether the sound data is meaningful data through pattern analysis for comparing the sound data with the sound pattern stored in the AP memory And if the sound data is meaningful data, instructing the server to transmit the sound data to the server, or in consideration of an overload of the server, only information on the number and time of the sound pattern of the sound data, To the at least one of the plurality of data processing apparatuses.
The method according to claim 1,
A feed intake amount and a feed amount recorded daily from an automatic feeder and a milking machine installed in a computer installed in a space storing the record information and installed in a space in which the feeder is active, Collecting the monthly data as monthly data, collecting the monthly data as monthly data, and transmitting the record information including the daily record data and the monthly record data to the server,
Further comprising:
The server
And analyzing the health state of the females using the recorded information together with the processed sensed data.
An AP communication chip for performing data communication with an object sensor attached or inserted into a femur via a wireless communication network and receiving sensing data including at least one of body temperature, activity amount and position of the femur from the object sensor;
An AP memory for storing the sensing data received from the object sensor;
An AP sensor module for sensing environmental information including at least one of a temperature and a humidity in a space in which the females act; And
And a weight calculation unit for calculating a weight according to environmental characteristics in a space in which the fur work is performed based on the environmental information, An AP processor for correcting the noise-removed sensing data by using a weight,
Gt; AP < / RTI >
Detecting an object sensor attached to or inserted into the femur includes sensing data including at least one of body temperature, activity amount, and position of the femur;
Collecting the sensing data from the object sensor by performing a data communication with the object sensor through a wireless communication network, wherein a plurality of sensor APs installed in the space where the weaving is active;
Processing the collected sensing data to distribute a load of information processing on the collected sensing data;
The server receiving the processed sensing data from the plurality of sensor APs and analyzing the health condition of the females; And
The server providing health information of the females based on the analysis result of the health state
Wherein the step of analyzing is performed based on the data analysis.

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