KR20170096300A - A check method of big animal's food habit and analysis device - Google Patents
A check method of big animal's food habit and analysis device Download PDFInfo
- Publication number
- KR20170096300A KR20170096300A KR1020160017509A KR20160017509A KR20170096300A KR 20170096300 A KR20170096300 A KR 20170096300A KR 1020160017509 A KR1020160017509 A KR 1020160017509A KR 20160017509 A KR20160017509 A KR 20160017509A KR 20170096300 A KR20170096300 A KR 20170096300A
- Authority
- KR
- South Korea
- Prior art keywords
- amount
- animal
- exercise
- feed
- time
- Prior art date
Links
- 241001465754 Metazoa Species 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title description 3
- 235000021191 food habits Nutrition 0.000 title 1
- 238000004891 communication Methods 0.000 claims abstract description 11
- 230000033001 locomotion Effects 0.000 claims abstract description 11
- 238000005516 engineering process Methods 0.000 claims abstract description 10
- 241000283690 Bos taurus Species 0.000 abstract description 8
- 241000283086 Equidae Species 0.000 abstract description 3
- 230000037396 body weight Effects 0.000 abstract description 2
- 201000010099 disease Diseases 0.000 abstract 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract 1
- 239000003337 fertilizer Substances 0.000 abstract 1
- 238000013459 approach Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000020595 eating behavior Effects 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 239000013078 crystal Substances 0.000 description 2
- 235000005911 diet Nutrition 0.000 description 2
- 230000037213 diet Effects 0.000 description 2
- 238000012840 feeding operation Methods 0.000 description 2
- 244000025254 Cannabis sativa Species 0.000 description 1
- 208000008589 Obesity Diseases 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 235000021050 feed intake Nutrition 0.000 description 1
- 239000004459 forage Substances 0.000 description 1
- 230000004886 head movement Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 235000020824 obesity Nutrition 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 230000028327 secretion Effects 0.000 description 1
- 230000037221 weight management Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K5/00—Feeding devices for stock or game ; Feeding wagons; Feeding stacks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
-
- H04W4/008—
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Animal Husbandry (AREA)
- General Physics & Mathematics (AREA)
- Environmental Sciences (AREA)
- Marine Sciences & Fisheries (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Agronomy & Crop Science (AREA)
- Mining & Mineral Resources (AREA)
- Biodiversity & Conservation Biology (AREA)
- Birds (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Feeding And Watering For Cattle Raising And Animal Husbandry (AREA)
Abstract
The present invention relates to a device and algorithm for analyzing the amount of food consumed by a large animal during a day with a recommended amount and a fertilizer. The change in body weight of large animals is closely related to the market price of large animals. For example, in the case of horses, the amount of exercise is high, and the amount of exercise should be controlled according to the amount of exercise. If you eat more than the amount of exercise, it is easy to catch various diseases. On the other hand, in the case of cattle, unnecessary movements should be reduced and weight should be kept as high as possible. The reason is that cows have weight and market prices accordingly. The accurate analysis of the daily intake of large animals is closely related to the income of large animal farmers. The present invention accurately analyzes the time and time at which the animal eats the feed based on the local communication technology and the motion sensor, and transmits the information to the farmer so that the farmer can operate the farm on a scientific basis, There is a purpose.
Description
The present invention relates to an apparatus and an algorithm for analysis of feeding amount of feed of cattle, horse, etc. In the case of horse and cattle, the weight changes according to the amount of feed, and the market value is determined according to the weight. Therefore, farmers are sensitive to changes in body weight of large animals. Accordingly, the present invention analyzes the daily feed diets of a large animal, that is, the amount of feed consumed by a large animal, and if the diets are consumed more than the target feed amount, the amount of feed is reduced, If you are doing this, increase the amount of feed to maintain your desired weight. In order to achieve this goal, it is necessary to equip (1) a beacon based on local communication (eg Bluetooth, WiFi, LPWAN) and (2) a communication module and a gesture sensor to be. And (3) an algorithm that distinguishes the behavior patterns in which the animal eats the feed, specifies it, and distinguishes data about other operations other than the eating behavior.
In the past, it was difficult to check the amount of food consumed by large animals over time. In the case of horses, we have to eat about 15 hours a day. The reason is that the size of the horses is small and the secretion is constant, so that the horse structure is formed to eat grass (forage) over a long period of time. However, in case of the opposite, it is difficult to pay the feed continuously over 15 hours, so it is divided by time. In the case of horse, obesity is the enemy. And it is very important to check the amount of activity since horse feed is essential for the amount of exercise.
In the case of cattle, feeds are collectively supplied to the feeder, so it is impossible to check the amount of food taken in individual units. Cows are required to reduce unnecessary momentum, while feed intake is determined by age group (by life cycle). You should eat this much. In order to make this possible, it is necessary to use indoor positioning technology and local communication technology to find out whether the cattle are near the feeder box, and low-power design technology that enables the analytical equipment to operate for one year, This is the background of the algorithm that finds the eating behavior when it comes to the feeding box and analyzes it.
SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide a method and apparatus for a large animal to feed on a feeder based on indoor positioning technology and local communication technology, The sensor technology and the analysis algorithm that can analyze the problem are the problems to be solved.
First, beacons for short-range communication, Wi-Fi router, A-GPS using mobile communication network, and GPS using satellite are the primary solution. Using the above-described wireless communication technology, an operation of grasping the moving position of the large animal on the farm and finally eating the feed from the time when it passes the beacon installed at the gate near the food container is started.
After the feeding operation is started, the feeding operation is analyzed through the 3-axis or 6-axis sensor. This is analyzed as the amount of change in X, the amount of change in Y, and the amount of change in Z. The specific action of the animal to eat the feed, that is, the up and down movement of the head, It will be possible to analyze the eating behavior.
Third, the operation analysis data of the collected animals are connected to the Internet through a hub for short-range communication, stored in a server, and then transmitted to a farmer.
It is possible to check the correct feeding amount of the large animal.
Thus, it is possible to analyze between animal movements and feed quantity.
By doing so, weight management of large animals is possible.
Achieving the target weight can increase farmers' sales.
Fig. 1 is a diagram showing that the eating operation is started when the large animal approaches the feeding canal.
2 is a hardware configuration for recognizing an eating operation.
Fig. 3 is an algorithm for recognizing the eating action.
FIG. 4 is a flow chart for recognizing an operation and delivering its contents to a server and a farmer.
Hereinafter, a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.
Fig. 1 is a view in which the large animal approaches the feeding container 7 to feed the feed. When the large animal approaches the food container 7, the
Fig. 2 is a diagram of a large animal eating feed in a feed can. When the feed is eaten, the larva approaches the head to the feeder and falls. At this time, in the
Fig. 3 is a hardware configuration diagram of a feed mass analyzer for large animals. (13) CPU analyzes wireless communication algorithm and the amount of food of large animal through 3-axis sensor. As described above, the collected information is stored in the flash memory of (15), the stored information is transmitted by (4) number of beacons through the antenna (18), and the beacon transmits the received information through the connected broadband network It is transferred to
Fig. 4 is an algorithm for analyzing the feed rate of large animals. (24), when a large animal enters the beacon, it recognizes that the equipment has entered the vicinity of the feeder (25), and after receiving it checks the ID of whether the information conveyed is near the feeder. (26), the inside of the feeder analyzer for the large animal (10) is switched to the feeding mode, and the information inputted through the sensor (14) is processed and analyzed 28). When the mode is started, the behavior patterns and similarities of the animals are analyzed through Delta X, Delta Y, and Delta Z, which are stored in the previously stored large animals. (29) In particular, (That is, whether or not negative operation is performed). If the negative momentum continues for more than 3 seconds on the Z axis, the degree of movement to the horizontal and vertical directions is grasped. At this time, the persistent time and time information is stored in the flash memory (33). Then, continuously check whether there is an exception in the Z axis (35). The information stored in the memory is transmitted to the server through a broadband network via a beacon. (34)
1, 10: Large animal feeding rate analysis equipment
2, 9: Large animal feeding rate analyzer attachment collar
3: short-range wireless signal
4: Near-field wireless beacon standard
5: Beacon with short range wireless output device
6: Near-field wireless beacon mounting wall
7,12: Feeder
8: Direction of major animal movement
11: Direction of head movement when eating large animals
13: Large animal feeding rate analysis equipment CPU
14: 3-axis sensor
15: Memory for large animal motion information and time information storage
16: Crystal for time adjustment
17: Large animal feed rate analyzer CPU crystal
18: Antenna for short-range radio transmission / reception
19: Interface for CPU debugging
20: Power regulator for CPU
21: Battery
22: Battery Charging IC
23: Battery charging source
Claims (2)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020160017509A KR20170096300A (en) | 2016-02-16 | 2016-02-16 | A check method of big animal's food habit and analysis device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR1020160017509A KR20170096300A (en) | 2016-02-16 | 2016-02-16 | A check method of big animal's food habit and analysis device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20170096300A true KR20170096300A (en) | 2017-08-24 |
Family
ID=59758259
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020160017509A KR20170096300A (en) | 2016-02-16 | 2016-02-16 | A check method of big animal's food habit and analysis device |
Country Status (1)
| Country | Link |
|---|---|
| KR (1) | KR20170096300A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110338140A (en) * | 2019-07-02 | 2019-10-18 | 广东省农业科学院动物科学研究所 | A kind of calculation method of growing-finishing pig Energy intaking amount |
-
2016
- 2016-02-16 KR KR1020160017509A patent/KR20170096300A/en unknown
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110338140A (en) * | 2019-07-02 | 2019-10-18 | 广东省农业科学院动物科学研究所 | A kind of calculation method of growing-finishing pig Energy intaking amount |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109618961B (en) | Intelligent feeding system and method for livestock | |
| Liu et al. | Design and test of a low-power acceleration sensor with Bluetooth Low Energy on ear tags for sow behaviour monitoring | |
| US10314293B2 (en) | Livestock management system, sensor apparatus, and estimation method for a state of a livestock animal | |
| AU2018223232B2 (en) | Wearable apparatus for an animal | |
| US12034400B2 (en) | Livestock management system | |
| AU2016268525A1 (en) | System and method for monitoring livestock | |
| CN103971157A (en) | Implantable passive ultrahigh frequency RFID temperature sensing tag for animal breeding and sensing method of implantable passive ultrahigh frequency RFID temperature sensing tag for animal breeding | |
| Wang et al. | IoT-based measurement system for classifying cow behavior from tri-axial accelerometer | |
| US10613615B2 (en) | Electronic apparatus, information processing system, and information processing method | |
| US11129361B2 (en) | System and method for managing livestock using radio frequency device | |
| US20200137983A1 (en) | Livestock management system | |
| CN102318567A (en) | Device for detecting activity level, repose time and body temperature of milch cow | |
| WO2007106937A1 (en) | Proximity recording device and method | |
| Vigneswari | Smart IoT cloud based livestock monitoring system: A survey | |
| Singh et al. | Application of radio frequency identification (RFID) technology in dairy herd management. | |
| KR20170096300A (en) | A check method of big animal's food habit and analysis device | |
| KR20170138260A (en) | The system and Algorithm based on Cow or Horse's activity and chew sound effect | |
| KR20150079124A (en) | Livestock Feed Feeding Apparatus and Feeding Method Using the Same | |
| Aoughlis et al. | Dairy cows' localisation and feeding behaviour monitoring using a combination of IMU and RFID network | |
| KR20220059063A (en) | Method and apparatus for tracking changes in estrus and rumination of cattle | |
| Brahim et al. | Dairy cows real time behavior monitoring by energy-efficient embedded sensor | |
| CN213639266U (en) | Wearable herbivorous domestic animal individual feature recognition device | |
| WO2022123732A1 (en) | Processing device, information collection device, information processing method, and program | |
| US20210307297A1 (en) | Feed intake system | |
| NL2022510B1 (en) | System and smarttag for animals. |