CN111990283B - Parasitic disease-suffering pregnant sheep lying, dehydrating and sculling monitoring method based on 5G network - Google Patents

Parasitic disease-suffering pregnant sheep lying, dehydrating and sculling monitoring method based on 5G network Download PDF

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CN111990283B
CN111990283B CN202010793872.3A CN202010793872A CN111990283B CN 111990283 B CN111990283 B CN 111990283B CN 202010793872 A CN202010793872 A CN 202010793872A CN 111990283 B CN111990283 B CN 111990283B
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sheep
data
controller
lying
monitoring
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CN111990283A (en
Inventor
金振华
王丽坤
汤俊一
张义双
冯博
刘广艳
张备
李烨
张莹
陈亮
吴宪
尹珺伊
江波涛
王洪宝
史同瑞
朱庆贺
张淑芬
苗艳
王洪侠
邱景会
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Animal Husbandry and Veterinary Branch of Heilongjiang Academy of Agricultural Sciences
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Animal Husbandry and Veterinary Branch of Heilongjiang Academy of Agricultural Sciences
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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K29/00Other apparatus for animal husbandry
    • A01K29/005Monitoring or measuring activity, e.g. detecting heat or mating
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/38Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/70Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in livestock or poultry

Abstract

The utility model provides a sick parasitic disease pregnant sheep prone lying, dehydration and overlord and monitoring method based on 5G network, relates to the animal doctor field, is in order to realize carrying out real-time automatic monitoring to the phenomenon of lying prone after the sheep suffers from the parasite disease to and carry out the problem of effective monitoring to the dehydration phenomenon after the sheep suffers from the parasite disease. The method and the device realize the real-time monitoring of the lying condition of the single sheep body through the 5G network, save time and labor for monitoring the single lying of the sheep, and have strong real-time property.

Description

Parasitic disease-suffering pregnant sheep lying, dehydrating and sculling monitoring method based on 5G network
Technical Field
The present invention relates to the field of veterinary medicine.
Background
At present, mutton becomes one of main meat types of meat of people, so that large-area breeding of sheep is an inevitable industry for meeting market demands. At present, a set of efficient and stable breeding method for breeding sheep is formed in China, monitoring can be carried out at any time from birth to slaughter of the sheep, but the current monitoring still depends on all-weather on-duty operation monitoring of breeding personnel, and the monitoring is time-consuming and labor-consuming. Especially, when the sheep have diseases, the condition is difficult to be monitored by the breeders in time.
Parasitic diseases of sheep are mainly: intestinal worms, hookworms, nematodes, and the like;
when sheep suffer from these disorders, two general physical abnormalities occur:
the first is that: and (3) dehydrating: the sheep has diarrhea phenomenon;
secondly, the following steps: the phenomenon of untimely lying prone occurs;
for the lying prone phenomenon, a breeding person can monitor the lying prone phenomenon through a camera or a visual inspection mode, and for the dehydration phenomenon of the sheep, a better mode for automatic monitoring is not available;
disclosure of Invention
The invention provides a device for monitoring sheep parasitic disease based on a 5G network and a working method of the device, aiming at realizing the problems of automatically monitoring the lying prone phenomenon of sheep after suffering from parasitic disease in real time and effectively monitoring the dehydration phenomenon of sheep after suffering from parasitic disease.
The sheep parasitic disease monitoring device based on the 5G network comprises a sheepskin (1), four through holes (20), wherein the sheepskin (1) is of a rectangular sandwich structure after being unfolded, and the four through holes (20) are symmetrically formed along the central axis of the sheepskin (1) and used for enabling four legs of a sheep to pass through, so that the sheepskin (1) can be worn on a sheep body; the method is characterized in that: the device also comprises an acceleration sensor (3), a controller (4), a 5G wireless signal transmitting device (5), A pressure sensors (2) and a clock (6); a is a positive integer;
a pressure sensors (2) are arranged in a matrix form and fixed in an interlayer of the sheepskin (1), and the acceleration sensor (3), the controller (4), the G wireless signal transmitting device (5) and the clock (6) are all fixed in the interlayer of the sheepskin (1).
The pressure data output ends of the A pressure sensors (2) are respectively connected with the A pressure data input ends of the controller (4);
the acceleration data output end of the acceleration sensor (3) is connected with the acceleration data input end of the controller (4);
a 5G signal input end of the 5G wireless signal transmitting device (5) is connected with a 5G signal output end of the controller (4), and the controller (4) is accessed to a 5G network through the 5G wireless signal transmitting device (5);
and the time data end of the clock (6) is connected with the time data end of the controller (4).
The sheep parasitic disease monitoring device based on the wireless network further comprises a stress sensor (7) and an angle sensor (8); the stress sensor (7) and the angle sensor (8) are both arranged in the sheepskin; the stress data output end of the stress sensor (7) is connected with the stress data input end of the controller (4); and an angle data output end of the angle sensor (8) is connected with an angle data input end of the controller (4).
The sheep parasitic disease monitoring device based on the 5G network further comprises a farm monitoring computer (10), and the farm monitoring computer (10) is accessed to the 5G network.
The working method of the sheep parasitic disease monitoring device based on the 5G network is characterized in that a sheep coat (1) is worn on a sheep body: the method comprises the following steps
Step one, at the moment t, step one, in the preset time N, executing step two one and step two at the same time;
step two, acquiring pressure data by using a pressure sensor (2), sending the weight of the acquired pressure data to a controller (4), taking the pressure data as corresponding lying data of the sheep, and executing step two;
secondly, acquiring acceleration data by using an acceleration sensor (8), sending the acquired acceleration data to a controller (4), taking the acquired acceleration data as the movement data of the sheep, and executing a third step;
thirdly, the farm monitoring computer (10) corresponds the lying-prone corresponding data of the sheep and the movement data of the sheep to the clock through the clock (6) to obtain the initial lying-prone time, the ending lying-prone time and the lying-prone time of the sheep; finishing the work of the sheep parasitic disease monitoring device based on the 5G network at the moment t, and executing a fourth step;
and step two, resetting the time t1, and executing the steps from the step one to the step two again to work the sheep parasitic disease monitoring device based on the 5G network at the new time t 1.
The beneficial effects obtained by the invention are as follows:
the method and the device realize the real-time monitoring of the lying condition of the single sheep body through the 5G network, save time and labor for monitoring the single lying of the sheep, and have strong real-time property.
Drawings
FIG. 1 is a schematic structural view of the present invention;
fig. 2 is a schematic view of the monitoring principle of the present invention.
Detailed Description
The first specific embodiment is described with reference to fig. 1, and the sheep parasitic disease monitoring device based on the wireless network comprises a sheep coat (1), four through holes (20), wherein the sheep coat (1) is of a rectangular sandwich structure after being unfolded, and the four through holes (20) are symmetrically formed along the central axis of the sheep coat (1) and are used for enabling four legs of a sheep to pass through, so that the sheep coat (1) is worn on a sheep body; the method is characterized in that: the device also comprises an acceleration sensor (3), a controller (4), a 5G wireless signal transmitting device (5), A pressure sensors (2) and a clock (6); a is a positive integer;
a pressure sensors (2) are arranged in a matrix form and fixed in an interlayer of the sheepskin (1), and the acceleration sensor (3), the controller (4), the G wireless signal transmitting device (5) and the clock (6) are all fixed in the interlayer of the sheepskin (1).
The pressure data output ends of the A pressure sensors (2) are respectively connected with the A pressure data input ends of the controller (4);
the acceleration data output end of the acceleration sensor (3) is connected with the acceleration data input end of the controller (4);
a 5G signal input end of the 5G wireless signal transmitting device (5) is connected with a 5G signal output end of the controller (4), and the controller (4) is accessed to a 5G network through the 5G wireless signal transmitting device (5);
and the time data end of the clock (6) is connected with the time data end of the controller (4).
The device for monitoring sheep parasitic disease based on 5G network is characterized by further comprising a stress sensor (7) and an angle sensor (8); the stress sensor (7) and the angle sensor (8) are both arranged in the sheepskin; the stress data output end of the stress sensor (7) is connected with the stress data input end of the controller (4); and an angle data output end of the angle sensor (8) is connected with an angle data input end of the controller (4).
In a third embodiment, the device for monitoring sheep parasitic disease based on 5G network according to the first and second embodiments is characterized by further comprising a farm monitoring computer (10), wherein the farm monitoring computer (10) is connected to the 5G network.
In a fourth specific embodiment, as in the first or second specific embodiment, the sheep parasitic disease monitoring device based on the wireless network and the working method of the device wear the sheep clothes (1) on the sheep body, and is characterized in that: the method comprises the following steps
Step one, at the moment t, step one, in the preset time N, executing step two one and step two at the same time;
step two, acquiring pressure data by using a pressure sensor (2), sending the weight of the acquired pressure data to a controller (4), taking the pressure data as corresponding lying data of the sheep, and executing step two;
secondly, acquiring acceleration data by using an acceleration sensor (8), sending the acquired acceleration data to a controller (4), taking the acquired acceleration data as the movement data of the sheep, and executing a third step;
thirdly, the farm monitoring computer (10) corresponds the lying-prone corresponding data of the sheep and the movement data of the sheep to the clock through the clock (6) to obtain the initial lying-prone time, the ending lying-prone time and the lying-prone time of the sheep; finishing the work of the sheep parasitic disease monitoring device based on the 5G network at the moment t, and executing a fourth step;
and step two, resetting the time t1, and executing the steps from the step one to the step two again to work the sheep parasitic disease monitoring device based on the 5G network at the new time t 1.
This embodiment can also carry out the slenderness monitoring of single sheep, utilizes stress and the angle change that receives on the sheep body of stress sensor and angle sensor monitoring single sheep, compares with the threshold value, obtains the slenderness monitoring result of single sheep, and this embodiment is particularly useful for the monitoring of gestational sheep.

Claims (1)

1. A pregnant sheep prone lying, dehydration and sculling monitoring method for suffering from parasitic disease based on a 5G network is realized by a sheep parasitic disease monitoring device based on the 5G network, the sheep parasitic disease monitoring device based on the 5G network comprises a sheepskin (1) and four through holes (20), the sheepskin (1) is of a rectangular sandwich structure after being unfolded, and the four through holes (20) are symmetrically arranged on the sheepskin (1) along the central axis of the sheepskin (1) and used for enabling four legs of a sheep to pass through, so that the sheepskin (1) is worn on a sheep body; the method is characterized in that: the sheep parasitic disease monitoring device of the 5G network further comprises an acceleration sensor (3), a controller (4), a 5G wireless signal transmitting device (5), A pressure sensors (2) and a clock (6); a is a positive integer;
the A pressure sensors (2) are arranged in a matrix form and fixed in the interlayer of the sheepskin (1), and the acceleration sensor (3), the controller (4), the 5G wireless signal transmitting device (5) and the clock (6) are all fixed in the interlayer of the sheepskin (1);
the pressure data output ends of the A pressure sensors (2) are respectively connected with the A pressure data input ends of the controller (4);
the acceleration data output end of the acceleration sensor (3) is connected with the acceleration data input end of the controller (4);
a 5G signal input end of the 5G wireless signal transmitting device (5) is connected with a 5G signal output end of the controller (4), and the controller (4) is accessed to a 5G network through the 5G wireless signal transmitting device (5);
the time data end of the clock (6) is connected with the time data end of the controller (4);
the sheep parasitic disease monitoring device of the 5G network further comprises a stress sensor (7), an angle sensor (8) and a farm monitoring computer (10); the stress sensor (7) and the angle sensor (8) are both arranged in the sheepskin; the stress data output end of the stress sensor (7) is connected with the stress data input end of the controller (4); the angle data output end of the angle sensor (8) is connected with the angle data input end of the controller (4);
the farm monitoring computer (10) is accessed to a 5G network;
the monitoring method comprises the following steps:
step one, at the moment t, within a preset time N, executing a step two and a step two simultaneously;
step two, acquiring pressure data by using a pressure sensor (2), sending the weight of the acquired pressure data to a controller (4), taking the pressure data as corresponding lying data of the sheep, and executing step two;
secondly, acquiring acceleration data by using an acceleration sensor (3), sending the acquired acceleration data to a controller (4), taking the acquired acceleration data as the movement data of the sheep, and executing a third step;
thirdly, the farm monitoring computer (10) corresponds the lying-prone corresponding data of the sheep and the movement data of the sheep to the clock through the clock (6) to obtain the initial lying-prone time, the ending lying-prone time and the lying-prone time of the sheep; finishing one monitoring work at the moment t, and executing the fourth step;
step two, resetting the time t1, and re-executing the steps one to step two to perform monitoring work at a new time t 1;
the monitoring method further comprises the following steps:
stress and angle changes on the body of the single pregnant sheep are monitored by using the stress sensor (7) and the angle sensor (8), and are respectively compared with a threshold value to obtain a rabdosia rubescens monitoring result of the single pregnant sheep.
CN202010793872.3A 2020-08-04 2020-08-04 Parasitic disease-suffering pregnant sheep lying, dehydrating and sculling monitoring method based on 5G network Active CN111990283B (en)

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CN113100109B (en) * 2021-03-08 2024-03-26 黑龙江省农业科学院畜牧兽医分院 Real-time monitoring system and monitoring method for state of dairy cows in lactation period

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102973249A (en) * 2012-10-31 2013-03-20 上海交通大学无锡研究院 Bovine sign monitoring system
CN106175779A (en) * 2016-07-11 2016-12-07 南京软杰信息科技有限公司 A kind of animal health monitoring system
CN207665772U (en) * 2017-12-22 2018-07-31 青岛农业大学 Sheep dustcoat
CN209733966U (en) * 2018-10-11 2019-12-06 河北省畜牧站 Sheep vital sign monitoring devices
CN210299017U (en) * 2019-07-25 2020-04-14 中国农业科学院农业信息研究所 Fattening cattle rising and lying health monitoring device

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006053290A2 (en) * 2004-11-12 2006-05-18 Andrew H. Elser V.M.D., Pc Equine wireless physiological monitoring system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102973249A (en) * 2012-10-31 2013-03-20 上海交通大学无锡研究院 Bovine sign monitoring system
CN106175779A (en) * 2016-07-11 2016-12-07 南京软杰信息科技有限公司 A kind of animal health monitoring system
CN207665772U (en) * 2017-12-22 2018-07-31 青岛农业大学 Sheep dustcoat
CN209733966U (en) * 2018-10-11 2019-12-06 河北省畜牧站 Sheep vital sign monitoring devices
CN210299017U (en) * 2019-07-25 2020-04-14 中国农业科学院农业信息研究所 Fattening cattle rising and lying health monitoring device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
母羊趴卧不起综合征并发梨形虫病的诊治;张景洲等;《黑龙江畜牧兽医》;20161020(第20期);158-159 *

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