WO2018012870A1

WO2018012870A1 - System and method for detecting exercise volume of cattle in cattle farm

Info

Publication number: WO2018012870A1
Application number: PCT/KR2017/007446
Authority: WO
Inventors: 정재복
Original assignee: 주식회사 메이플테크
Priority date: 2016-07-15
Filing date: 2017-07-12
Publication date: 2018-01-18
Also published as: KR101726366B1

Abstract

Disclosed are a system and a method for detecting an exercise volume of cattle in a cattle farm. In a cattle farm which raises 70-130 heads of dairy cow or beef cattle, the system for detecting an exercise volume of cattle in a cattle farm transmits, from a beacon (sensor node) with a GPS receiver installed in a cattle collar to a monitoring server linked with the Internet, GPS position information, time information, and a device ID (identification tag information) of the beacon provided with the cattle collar, at regular intervals through a wireless sensor network (WSN) with a sink node and wired/wireless Internet (Wi-Fi, CDMA/LTE), identifies positions of the cattle in real time through a smart phone and a computer of the cattle farm, calculates a moving distance per unit time according to the device ID of the beacon including the identification tag information to calculate speed (v), detects and transmits the exercise volume (p = mv) of the cattle to the monitoring server of the computer of the cattle farm, and monitors the health of the cattle through the smart phone and the computer. As such, the system has the effect of increasing sales of the cattle farm by systemically managing the health of the cattle of the cattle farm.

Description

System and method for detecting momentum of cattle in cattle farms

The present invention relates to a system and method for detecting the momentum of cattle in cattle farms, and more specifically, in cattle farms that breed 70-130 cows or beef cattle, categorized according to the weight of cows (A, B, C, D). From beacons (sensor nodes) with GPS receivers installed on the collars of cows and cattle cattle, wireless sensor networks (WSNs) with sink nodes and wired and wireless internet (Wi-Fi, CDMA or LTE) At intervals, the GPS location information, time information, and device ID (identification table information) of the beacons are transmitted to the monitoring server of the cattle farm's computer and stored, and the moving distance per unit time is calculated to calculate the speed (v) to calculate the cow's movement (p = mv). ), And at the same time sent to the administrator's smartphone linked to the monitoring server and compared to the average cow's average exercise volume data by cattle grade (A, B, C, D) average Extract the bulls of equal volume or less, and monitors the health of the cattle cattle farmers and relates to a system and method for detecting bovine momentum in, cattle farm to provide a feed management.

Currently, agriculture in Korea is experiencing difficulties such as declining and aging rural population, falling grain self-sufficiency rate, stagnant farm household income, and deepening climate change on the Korean peninsula.

In addition, imported agricultural products are increasing every year and the share of agriculture in the entire industry continues to decline. The share of agriculture, forestry and fishery in the gross domestic product dropped from 4.4% in 2000 to 2.1% in 2014, and domestic farmland continued to decline from 19.0% in 2000 to 17.3% in 2014, so it is urgent to prepare measures for revitalizing agriculture. Korea's grain self-sufficiency rate was only 24.0% in 2014, the lowest among the 34 member countries of the Organization for Economic Cooperation and Development (OECD).

Agriculture in the United States is applied to each process of production, processing, storage, packaging, and transportation of agricultural products by combining Internet of Things (IoT) technology, nanotechnology, big data cloud technology, and robot technology.

The Priva company in the Netherlands develops and distributes a greenhouse environment control system and nutrient solution control system that can automatically manage the temperature, humidity, lighting and nutrients that crops need in a greenhouse. In addition, based on the environmental control technology of greenhouses, a system for managing the building's internal environment and energy consumption has been developed and applied to about 30% of Dutch public buildings.

In Japan, companies such as Fujitsu, NEC, IBM, and NTT provide various services by integrating ICT technology in agriculture. Typical examples are the traceability service of IBM's agricultural products, NEC's M2M-based growth environment monitoring and logistics service (Connexive), and Fujitsu's agricultural management cloud service (Akisai). Fujitsu's Akisai is using IoT sensors to measure and collect data from the cultivation environment in real time, while accumulating and analyzing data using cloud services to grow crops such as tomatoes. Measure the temperature, temperature, moisture, insolation, and fertilizer concentration in the cultivation facility and send it to the cloud server every few minutes to collect / analyze / predict and then present the optimal amount of water and fertilizer for each farm. give. Through this system, farmers have increased the yield by 20 ~ 30%, and can check and manage the production plan and the yield forecast for each farm, and it is also used as the basic data for establishing the agricultural procurement plan.

Since the conclusion of the FTA, the development of advanced agricultural technologies based on ICT convergence and convergence has been underway since 2003 in order to strengthen our competitiveness in agriculture, livestock, and food industries, which is relatively backward compared to developed countries in expanding open imports of foreign agricultural products. Most of them are focused on remote control and environmental monitoring through smart farm factory platform technology, an advanced form of ICT convergence-based plant factory, and facility automation with Internet of Things (IoT) technology. The situation is limited to a system for doing so.

In addition, it is necessary to develop smart farm technology for advanced country cattle farms with IoT technology, sensor technology, and communication software technology in cattle farms that raise milk cows, beef cows, and Korean cattle.

* Smart farms install facilities such as communication equipment, sensors, and automatic controllers in greenhouses and livestock houses, and provide remote automatic control of farm facilities through farm management computers or farmer's smartphones through environmental management software.

For example, smart greenhouse is linked with the communication devices and the controller and the sensor through a computer or a smartphone Growth Condition maintenance software (greenhouse, barn in temperature and humidity, and carbon dioxide (CO ₂₎ level, such as the growth condition settings) and the environment information It provides monitoring (automatic collection of temperature, humidity, insolation, CO ₂ , growing environment, etc.), and automatic and remote environmental management (cooling and heating, window opening, CO ₂ , nutrient and feed, etc.). Smart greenhouse system monitors the temperature, humidity and CO ₂ of the greenhouse through a PC or smartphone and manages the optimal growth environment of crops by remotely and automatically controlling window opening and nutrient supply.

1 is a system configuration diagram for conventional Korean beef quality management and improvement.

As a related art 1, Patent No. 10-13118250000 (Registered Date Sep. 16, 2013), "System and method for quality management and improvement of Hanwoo" is disclosed.

The system for quality management and improvement of Hanwoo quality includes preset specification information including feed type, feed composition ratio, and feed supply amount for managed and selected managed livestock born through breeding between selected managed livestocks based on lineage information. It is based on the breeding and breeding of the breeding information for the livestock breeding at a predetermined time period during the breeding, control the specification information based on the generated development information, the development history information based on the development information and specification information to build a database, Subsequently, after a predetermined time elapses, the managed livestock is slaughtered to generate a database by generating quality information about a product upon shipment based on development history information having specification information and development information.

However, domestically, cattle farms that raise cows, cattle, and beef cattle have not been developed in the developed countries, where IoT technology, sensor technology, and communication software technology are applied, and smart farm technology for cattle farms.

An object of the present invention for solving the problems of the prior art is to a cow's collar of cattle and cattle classified according to the weight (A, B, C, D) of cattle in cattle farms for raising 70 to 130 cows or beef cattle From the beacons (sensor nodes) with GPS receivers installed on the cow's collar at regular intervals over a wireless sensor network (WSN) with sync nodes and wired or wireless internet (Wi-Fi, CDMA or LTE) GPS location information of beacons, time information and device ID (identification table information) are transmitted to the monitoring server of the cattle farm's computer and stored, and the moving distance per unit time is calculated to calculate the speed (v) to calculate the cow's exercise amount (p = mv). At the same time, the average value is compared to the average cow's average momentum activity data by the cattle's grade (A, B, C, D) by transmitting in real time to the administrator's smartphone linked to the monitoring server. To extract the bulls of the same amount or less to supply more food supply and provide cattle momentum detection system in the movement and grazing outdoors, or monitor cattle health of cattle farms and to provide feed management, cattle farmers.

It is another object of the present invention to provide a method for detecting cattle momentum in cattle farms equipped with smart farms to which IoT technology and WSN technology are applied.

In order to achieve the object of the present invention, the cattle momentum detection system in cattle farms is provided in the collar of the cows in cattle farms raising cows or beef cattle, beacons for transmitting GPS location information and visual information of the beacon at regular intervals; A sink node that receives GPS location information, time information, and device ID of the beacons provided in each cow's collar from a beacon provided in each cow's collar at regular time intervals, and transmits them to a monitoring server through a wireless LAN or a mobile communication network; And monitoring the health of the cows by storing the GPS location information, the visual information, and the device ID of the beacons provided in each cow's collar to detect the amount of exercise of the grazing cows, and the daily / weekly / monthly or grade (A, B). By comparing the mean exercise amount of cows by C, D) with the statistical data, the cows with less than average grades of cows are detected, and the feeding amount is increased to the cows that lack the average exercise based on the device ID of the beacon including the tag information. It includes a monitoring server for cattle farm computers that allows them to graze or take disease prevention measures again.

The device ID displayed on the monitoring server of the cattle farm's computer, the type of cow (cow, beef), female / male information, age, cow's weight (mass), cow's height and weight (A) , B, C, D), After the specific information on the developmental state is input, each cow's collar is mounted so as not to escape the beacons,

The monitoring server includes a web server and a linked program and database, and manages cow's motility, cattle's health management, feed management, and grades according to the device ID of the beacon including the identification tags of cows and cattle raised in farms and the identification table information. It provides statistical management to calculate averages, variances, and standard deviations for momentum and visualize them in 2D or 3D bar graphs and pie charts.

The beacon is a GPS node that serves as a sensor node (sensor node) equipped with a GPS receiver, the GPS receiver for transmitting the GPS position information and visual information of the beacon provided in the cow's collar grazing in the cattle farm moving at a predetermined time interval; A control unit for controlling to transmit GPS location information, time information, and device ID of the beacon included in the cow collar moving at regular intervals; A timer coupled to the control and counting time; And a wireless communication unit which transmits GPS location information, time information, and device ID of the beacon provided in the cow's collar moving at a predetermined time interval to the sink node, and is communicated by a wireless sensor network (WSN) protocol. ,

The beacon is composed of a necklace, a fastening means for fastening the necklace and the beacon body, and a beacon body fastened to the necklace.

The sink node may include: a wireless communication unit configured to receive GPS location information, time information, and device ID of the beacon included in each cow's collar from a beacon provided in each cow's collar at predetermined time intervals; Control unit for controlling the GPS location information, time information, and device ID of the beacon included in each cow's collar to be transmitted to the monitoring server of the cattle farm through the WSN / Wi-Fi or WSN / LTE protocol conversion at regular intervals. ; A storage unit for storing GPS location information, time information, and device ID of beacons provided in each cow's collar at predetermined time intervals; And a wireless communication unit including a wireless LAN modem (Wi-Fi) or a mobile communication modem (CDMA or LTE).

The sink node is communicated with the monitoring server of the cattle farmer's computer through a wireless LAN card or a mobile communication modem to communicate with a wireless access point (AP),

One sink node is assigned with a group ID, characterized in that for managing by grouping a certain number of beacons managed in the group ID according to the wireless communication processing capacity.

The cow's momentum p is calculated by calculating the moving speed per unit time based on the device ID of the beacon including the identification table information, calculating the moving speed v, and the mass of the cow is m (kg), the moving speed per unit time. Is v (m / sec), it is calculated by the formula p = mv (kg m / sec),

When the initial movement speed of cows grazing on cattle farms is v ₀ and the movement speed of cows after t seconds is v, the change in the momentum of the cow is calculated by the equation Δ p = F · t = mv-mv ₀ ,

The amount of change in the amount of exercise of the cow is calculated by 12 hours, 1 day, 1 week, and monthly, and the average amount of exercise information of cows by grades (A, B, C, D) classified according to the weight of the cow is stored and managed in the monitoring server. do.

In order to achieve the other object of the present invention, the method of detecting the momentum of cattle in cattle farms is (a) cows, cattle farms raising cattle ID of the device identification mark is displayed on the monitoring server of the computer, cattle type (cow, beef cattle), female After the male information, age, cow's weight (mass), cow's height, and cow's weight (A, B, C, D) and developmental status specific information are entered, beacons are placed on each cow's collar. Mounted so as not to deviate; (b) Transmitting and temporarily storing GPS location information, time information, and device ID of the beacon included in each cow's collar from the beacons included in each cow's collar at a predetermined time interval to the sink node and temporarily storing the beacon. Transmitting to a monitoring server of a cattle farm via a LAN or a mobile communication network; (c) The monitoring server stores the GPS location information, time information, and device ID of the beacon included in each cow's collar transmitted at predetermined time intervals to calculate the moving distance per unit time to calculate the speed v and graze Calculating the momentum of each cow (p = mv); (d) The monitoring server extracts cows below the average mean exercise amount by grade, compared to daily / weekly / monthly or grade (A, B, C, D) cattle by statistical data, and provides feed to the cows lacking average exercise amount. Allowing the animal to feed more and to graze outdoors or to take veterinary checkups; And (e) accessing the monitoring server of the cattle farm's computer through the mobile communication network using the smart cattle farm system system app of the smartphone, the cow's momentum according to the device ID of the beacon including the identification tag information of the cows and cattle raised in the cattle farm. Provides visual management of the management, cow health care, feed management, average, variance, and standard deviation of the cow's momentum by grade in the form of 2D or 3D bar graphs and pie charts.

In the cattle farm according to the present invention, a cow's momentum detection system is installed in a cow's collar of cows and beef cattle classified according to their weight (A, B, C, D) in cattle farms that breed 70-130 cows or beef cattle. GPS location information of beacons at regular time intervals from beacons (sensor nodes) with GPS receivers through wireless sensor networks (WSNs) with sink nodes and wired and wireless Internet (Wi-Fi, CDMA, or LTE). It transmits and stores the time information and the device ID (identification table information) to the monitoring server of the cattle farmer's computer, calculates the speed (v) by calculating the moving distance per unit time, and calculates the cow's exercise amount (p = mv). By sending in real time to the administrator's smartphone linked to the cows (A, B, C, D) by comparison with the average cow's average momentum statistical data by cattle grades (A, B, C, D) It is effective in extracting, monitoring cattle health of cattle farms and providing feed management functions.

The cattle farm monitoring server monitors the health of the cattle by detecting the amount of cattle grazing through the beacons provided on the cow's collar in cattle farms where cows, beef cattle and Korean cattle are raised. Daily / weekly / monthly or cattle grades (A, B) Compare the average cow's average exercise volume by C, D) to determine whether the cow is sick or not sick, and control the feeding of the below average cow, increase the amount of exercise by grazing outdoors, or examine the veterinarian Livestock farmers separately manage cattle that lack average exercise to increase feed supply and make them grow healthy. Prevent veterinary diseases, contribute to high quality milk for cows, and high quality beef for beef and beef cattle. It has the effect of increasing the sales of cattle farms.

2 is a block diagram of a system for detecting the amount of exercise of cattle in a cattle farm according to the present invention.

3 is an internal configuration diagram of the beacon provided in the cow collar.

Figure 4 is a picture of moving and grazing cows grazing near the cattle farm.

5 is a UI (User Interface) screen of the smart phone operating in conjunction with the monitoring server of the cattle farm.

Figure 6 is a flow chart illustrating a method of detecting the amount of exercise of cattle in cattle farms according to an embodiment of the present invention.

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

The cattle movement detection system in cattle farms is provided in the collar of the cattle in cattle farms raising cows or beef cattle, beacon 10 for transmitting the GPS position information and visual information of the beacon at regular intervals; Receiving GPS location information, time information, and device ID of the beacon included in each cow's collar from the beacons 10 included in each cow's collar at predetermined time intervals, and transmitting the GPS location information and the device ID to the monitoring server through a wireless LAN or a mobile communication network. Sink node 20; And the GPS location information, time information, and device ID of the beacon included in each cow's collar, and calculates the speed (v) by calculating the moving distance per unit time according to the device ID of the beacon including the identification table. p = mv), detect the amount of exercise of each cow grazing, monitor the health of the cows, and average average amount of exercise by 12 hours / day / week / month or cattle (A, B, C, D) Cattle that are less than the mean exercise amount for each grade are extracted by increasing the amount of feed to those lacking the mean exercise amount based on the device ID of the beacon including the tag information, and then grazing the field again, or performing veterinary examination for disease prevention. It includes a monitoring server 40 of the cattle farm computer to be drunk, and connected to the monitoring server 40 of the smartphone 30 and cattle farm computer computer cattle farm To provide a service on the detection of cattle momentum characterized.

In cattle farms, a cow's momentum detection system is a beacon (GPS receiver with GPS receiver) equipped with a GPS receiver mounted on a cow's collar of cows and beef cattle classified according to their weight in cattle farms that raise 70 to 130 cows or cattle. Nodes (10) from the wireless sensor network (WSN) with the sink node 20 and the wire of the cattle cattle grazing in cattle farms at regular intervals via wired and wireless Internet (Wi-Fi, CDMA or LTE) GPS location information of the beacon 10, the time information and the device ID (identification table information) is transmitted to the monitoring server 40 of the cattle farmer's computer and stored, and the moving distance per unit time according to the device ID of the beacon including the identification tag Calculate the speed (v) by calculating the amount of exercise of the cow (p = mv), and at the same time sent to the smartphone 30 of the manager linked to the monitoring server 40 and classified according to the weight of the cow Compared to the A, B, C, D grades normal bovine average momentum statistical data to identify the cows below Grade average momentum, and may monitor the momentum in bulls of cattle farmers.

The monitoring server 40 receives and stores GPS location information, time information, and device ID (recognition tag information) of the beacon 10 provided in the collar of a moving cow grazing at the cattle farm at regular intervals, and includes the identification tag information. The moving distance per unit time is calculated based on the device ID of the beacon to calculate the moving speed v to calculate the cow's momentum p = mv.

When the cow's weight is m (kg) and the movement speed per unit time is v (m / sec), the cow's momentum (p) is calculated by the equation p = mv (kg m / sec).

When the initial moving speed of a cow grazing and moving in a cattle farm is v _0, and the moving speed of the cow is v after t seconds, the change in the momentum of the cow is calculated by the following equation.

The change in cow's momentum is △ p = F · t = mv-mv ₀

The amount of change in the amount of exercise of the cow is stored in the monitoring server 40 of the cattle farm's computer through the calculation of 12 hours, 1 day, 1 week, and monthly statistics. Is managed.

The monitoring server 40 of the cattle farm's computer stores the GPS location information, the time information, and the device ID of the beacon 10 provided in the cow's collar in the cattle farm. Calculate the distance (v) by calculating the distance traveled, and detect the amount of exercise (p = mv) of each cow that is grazing and moving, and then averages the amount of exercise by the daily, weekly and monthly grades (A, B, C, D). Compares the data to the cows below the mean exercise amount by grade, monitors the health of the cows according to the beacon's device ID, which includes the dog tag information, identifies whether the cow is sick or not sick, Extract and adjust the cows to provide more feed, or graze outdoors, take veterinary checkups to prevent disease, and manage the cows that lacked momentum separately. To manage that growth and healthy.

The monitoring server 40 has a web server, a linked program and a database, and manages cattle's motility, cattle's health management, and feed management according to the device ID of the beacon including the identification tags of the cows and cattle raised in the cattle farm. It provides statistical management to calculate averages, variances, and standard deviations of cattle's momentum by grade and to visualize them in 2D or 3D bar graphs and pie charts.

The smart phone 30 is connected to the monitoring server 40 of the cattle farm using a smart cattle farm system app to manage the cow's motility according to the device ID of the beacons containing the identification information of cows and cattle raised in the cattle farm. Management, feed management, statistical management can be used to calculate averages, variances, and standard deviations for cattle's momentum by grade and visually provided in the form of 2D or 3D bar graphs and pie charts.

The device ID, the type of cow (cow, beef), female / male information, age, cow's weight (mass), cow's height information, cow's grade (A, B, C, D) After the specific information on the developmental state is input, each cow's collar is mounted so that the beacons do not escape. The beacon is composed of a necklace, fastening means for fastening the necklace and the beacon body, and a beacon body fastened to the necklace.

For example, cow grades can be categorized into calf (A), small cattle (B), developing cattle (C), and mature cattle (D), depending on their weight and height.

Beacon 10 serves as a sensor node equipped with a GPS receiver (GPS receiver), a GPS receiver for transmitting the GPS position information and visual information of the beacon provided in the cow's collar grazing in a cattle farm moving at regular intervals (17); A control unit 18 for controlling to transmit GPS location information, time information, and device ID of the beacon provided in the cow's collar moving at predetermined time intervals; A timer 17-1 connected to the control unit 18 and counting time; And a wireless communication unit which transmits GPS location information, time information, and device ID of the beacon provided in the cow's collar moving to the sink node 20 at regular intervals, and is communicated by a wireless sensor network (WSN) protocol. 19, including.

Figure 4 is a picture of moving and grazing cows grazing near the cattle farm.

The moving distance of the cow is actually different from the various paths such as ABF, ACF, AEF and so on, but there are some deviations, but the beacon worn on the cow's collar is estimated as the ADF distance, which is the arrival position after t hours.

The sink node 20 is, for example, GPS location information and visual information of the beacons provided in each cow's collar at regular intervals from the beacon 10 provided in each cow's collar of 70 to 130 dogs raised in cattle farms. And a wireless communication unit receiving the device ID. It is equipped with a protocol stack for converting a protocol of a wireless parser network and a wireless LAN or a mobile communication protocol, and converts WSN / Wi-Fi or WSN / LTE protocols to GPS location information of a beacon included in each cow's collar at regular intervals. A control unit for controlling the time information and the device ID to be transmitted to the monitoring server 40 of the cattle farm computer; A storage unit for storing GPS location information, time information, and device ID of beacons provided in each cow's collar at predetermined time intervals; And a wireless communication unit including a wireless LAN modem (Wi-Fi) or a mobile communication modem (CDMA or LTE).

The sink node 20 communicates with the monitoring server 40 of the cattle farm's computer through a wireless LAN card or a mobile communication modem communicating with a wireless access point (AP).

One sink node is assigned a group ID, and for example, groups 1 to 99 or 100 units of beacons managed within the group ID according to the wireless communication processing capacity.

For example, when raising 130 cows or beef cattle in a cattle farm, two sink nodes with different group IDs may be used in grouping.

The smart phone 30 is connected to the monitoring server 40 of the computer of the cattle farm using the cattle cattle farm system App, the cow's motility management according to the device ID of the beacons containing the identification table information of the cows, cattle raised in the cattle farm, Statistical management can be used to visually provide cow health, feed management, average, variance, and standard deviation of cow's momentum by grade in the form of 2D or 3D bar graphs and pie charts.

The method of detecting cow's motility in cattle farms is based on (a) device ID, cow type (cow, beef cattle), female / male information, age, and weight of cows in cattle farms where cattle are raised. Mass), the height of the cow, the cow's grade (A, B, C, D) classified according to the weight of the cow, after the specific information on the developmental state is input, each cow's collar is mounted so as not to leave the beacon (S10) ; (b) Transmitting and temporarily storing GPS location information, time information, and device ID of the beacon included in each cow's collar from the beacons included in each cow's collar at a predetermined time interval to the sink node and temporarily storing the beacon. Transmitting to a monitoring server of a cattle farm via a LAN or a mobile communication network (S20); (c) The monitoring server of the cattle farm's computer stores the GPS location information, time information and device ID of the beacon provided in each cow's collar to calculate the moving distance per unit time to calculate the speed v and graze each Calculating an amount of exercise (p = mv) of cows (S30); (d) The monitoring server extracts cows below the mean exercise amount by grade (S50) by comparing the average exercise amount statistical data of cattle by daily / weekly / monthly or grades (A, B, C, D) (S50). The step of allowing the cows to provide a shortage of more feed and again to graze outdoors or take preventive measures for veterinary checkup (S60).

The method is connected to the monitoring server 40 of the cattle farm farmer's computer through a mobile communication network using the smart cattle farm system system App of the smartphone 30, the device of the beacon including the identification tag information of cows, cattle raised in cattle farms Providing statistical management, visually provided in the form of 2D or 3D histograms, pie charts, averages, variances, and standard deviations of cattle's momentum management, cattle's health care, feed management, graded cow's momentum according to ID; .

As described above, the method of the present invention may be implemented as a program and read to a recording medium (CD-ROM, RAM, ROM, memory card, hard disk, magneto-optical disk, storage device, etc.) in a form readable by software of a computer. Can be stored.

As described above, the present invention has been described with reference to a preferred embodiment of the present invention, but the present invention is within the scope not departing from the spirit and scope of the present invention as set forth in the appended claims by those skilled in the art. It will be understood that various modifications or variations may be made.

10: Beacon on Cow's Collar

20: Sink Node 30: Smartphone

40: Monitoring server

Claims

Beacons are provided in the collar of the cattle in cattle farms raising cows or beef cattle, and transmits the GPS location information and visual information of the beacon at a predetermined time interval;

A sink node that receives GPS location information, time information, and device ID of the beacons provided in each cow's collar from a beacon provided in each cow's collar at regular time intervals, and transmits them to a monitoring server through a wireless LAN or a mobile communication network; And

It calculates the moving speed (v) by calculating the moving distance per unit time based on the device ID of the beacon including the GPS location information, time information, and device ID of the beacon included in each cow's collar and including the identification tag information. The health of the cows is monitored by detecting the amount of exercise (p = mv) of each cow, and the average amount of exercise is less than the average amount of exercise in comparison with the statistical data of the average exercise amount of cows by daily / weekly / monthly or grade (A, B, C, D) And a server for monitoring the cattle farm computer for extracting the cows, and increasing the feeding amount, re-grazing, or taking disease prevention measures to the cows lacking the average exercise based on the device ID of the beacon including the dog tag information. ,

The device ID displayed on the monitoring server of the cattle farm's computer, the type of cow (cow, beef), female / male information, age, cow's weight (mass), cow's height and weight (A) , B, C, D), After the specific information on the developmental state is input, each cow's collar is mounted so as not to escape the beacons,

The monitoring server includes a web server and a linked program and database, and manages cow's motility, cattle's health management, feed management, and grades according to the device ID of the beacon including the identification tags of cows and cattle raised in farms and the identification table information. A cattle momentum detection system for cattle farms, characterized in that it provides statistical management to calculate mean, variance, and standard deviation for momentum and visually output them in 2D or 3D bar graphs and pie charts.
The method of claim 1,

The beacons

A GPS receiver serving as a sensor node equipped with a GPS receiver and transmitting GPS position information and visual information of a beacon provided in a cow's collar grazing in a cattle farm moving at a predetermined time interval;

A control unit for controlling to transmit GPS location information, time information, and device ID of the beacon included in the cow collar moving at regular intervals;

A timer coupled to the control and counting time; And

Transmit GPS location information, time information, and device ID of the beacon provided in the cow's collar moving at regular intervals to the sink node, and includes a wireless communication unit communicating by a wireless sensor network (WSN) protocol. ,

The beacon is a cow, the momentum detection system for cattle farms, characterized in that it comprises a necklace, a fastening means for fastening the necklace and the beacon body, and the beacon body fastened to the necklace.
The method of claim 1,

The sink node is

A wireless communication unit for receiving GPS location information, time information, and device ID of the beacons provided in each cow's collar at predetermined time intervals from the beacons provided in each cow's collar;

Control unit for controlling the GPS location information, time information, and device ID of the beacon included in each cow's collar to be transmitted to the monitoring server of the cattle farm through the WSN / Wi-Fi or WSN / LTE protocol conversion at regular intervals. ;

A storage unit for storing GPS location information, time information, and device ID of beacons provided in each cow's collar at predetermined time intervals; And

A cattle movement detection system in a cattle farm comprising a wireless communication unit having a wireless LAN modem (Wi-Fi) or a mobile communication modem (CDMA or LTE).
The method of claim 3,

The sink node is communicated with the monitoring server of the cattle farmer's computer through a wireless LAN card or a mobile communication modem to communicate with a wireless access point (AP),

One sink node is assigned a group ID, and according to the wireless communication processing capacity of cattle cattle farm cattle detection system, characterized in that for managing by grouping a certain number of beacons managed in the group ID.
The method of claim 1,

The cow's momentum (p)

Calculate the moving speed v by calculating the moving distance per unit time based on the device ID of the beacon including the identification table information,

When the weight of a cow is m (kg) and the movement speed per unit time is v (m / sec), it is calculated by the formula p = mv (kg m / sec),

When the initial movement speed of cows grazing on cattle farms is v 0 and the movement speed of cows after t seconds is v, the change in the momentum of the cow is calculated by the equation Δ p = F · t = mv-mv 0 ,

The amount of change in the amount of exercise of the cow is calculated by 12 hours, 1 day, 1 week, and monthly, and the average amount of exercise information of cows by grades (A, B, C, D) classified according to the weight of the cow is stored and managed in the monitoring server. Cows momentum detection system in cattle farms, characterized in that the.
(a) In the cattle farms where cows and cattle are raised, the identification of the device on the computer's monitoring server with the identification of the cow, the type of cow (cow, beef), female / male information, age, cow's weight (mass), cow's height, and cow's weight A grade (A, B, C, D) of the cows classified according to the above, after the specific information on the developmental state is input, the beacon is mounted on each cow's collar so as not to escape;

(b) From the beacons provided in each cow's collar, the GPS position information, time information, and device ID of the beacon included in each cow's collar are transmitted to the sink node at a predetermined time interval, and temporarily stored therefrom. Transmitting to a monitoring server of a cattle farm via a wireless LAN or a mobile communication network;

(c) The monitoring server stores the GPS location information, time information, and device ID of the beacon provided in each cow's collar, calculates the moving distance per unit time, calculates the speed v, and the amount of exercise of each cow grazing. calculating p = mv); And

(d) The monitoring server extracts cows below the average average amount of exercise by grade in comparison with the daily / weekly / monthly or grade (A, B, C, D) cattle's average exercise amount statistical data, and provides the feed amount for the cows lacking exercise amount. Allowing them to feed more and to graze again outdoors or to take veterinary checkups; And

(e) Management of cattle movement according to the device ID of beacons including identification tags of cows and cattle raised in cattle farms by accessing monitoring server of cattle farms computer through mobile communication network using smart cattle farming system app of smartphone Providing statistical management of visually providing 2D or 3D bar graphs, pie charts, averages, variances, and standard deviations of cattle's motility, feed management, and cow's momentum by grade;

How to detect the momentum of cattle in cattle farms comprising a.