CN107465733A - Livestock management method based on Internet of Things - Google Patents
Livestock management method based on Internet of Things Download PDFInfo
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- CN107465733A CN107465733A CN201710636708.XA CN201710636708A CN107465733A CN 107465733 A CN107465733 A CN 107465733A CN 201710636708 A CN201710636708 A CN 201710636708A CN 107465733 A CN107465733 A CN 107465733A
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- 244000144972 livestock Species 0.000 title claims abstract description 47
- 238000007726 management method Methods 0.000 title claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 230000003595 spectral effect Effects 0.000 claims abstract description 9
- 230000036760 body temperature Effects 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims abstract description 6
- 238000007621 cluster analysis Methods 0.000 claims abstract description 4
- 238000012546 transfer Methods 0.000 claims abstract description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 4
- 238000009395 breeding Methods 0.000 abstract description 2
- 230000001488 breeding effect Effects 0.000 abstract description 2
- 238000007619 statistical method Methods 0.000 abstract description 2
- 239000002699 waste material Substances 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 2
- 239000011159 matrix material Substances 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 244000144977 poultry Species 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- 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
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity, e.g. detecting heat or mating
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
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Abstract
The livestock management method based on Internet of Things is somebody's turn to do the present invention relates to a kind of, is comprised the following steps：(1) detection device is installed on the neck and/or ear and/or tail of livestock；(2) the livestock growth data message obtained in detection device is obtained, the growth data message includes body temperature, activity time, heart rate and pH value；(3) Variable Selection is carried out to growth data message, and carries out nondimensionalization processing；(4) cluster analysis is carried out using Spectral Clustering, judges the stage of growth type of livestock；(5) select and transfer the solution corresponding with the step (4), and output data information result and solution carry out display to user terminal and checked.Statistical analysis is carried out to the stage of growth of livestock using big data Internet of Things network means, so as to provide the data supporting with scientific explarnation for raiser (i.e. user), both do not have to waste time and energy as traditional breeding way, allow analysis result more scientific yet.
Description
Technical field
The present invention relates in internet of things field, more particularly to a kind of livestock management method based on Internet of Things.
Background technology
Internet of Things is the important component of generation information technology, and the important development stage in " informationization " epoch.
Its English name is：“Internet of things(IoT)”.As its name suggests, Internet of Things is exactly the connected internet of thing thing.This
There is two layers of meaning：First, the core of Internet of Things and basis are still internet, it is extension and extension on Internet basic
Network；Second, its user terminal extends and extend between any article and article, enter row information and exchange and communicate, that is,
Thing thing mutually ceases.Internet of Things is widely used in network by the cognition technology that communicates such as Intellisense, identification technology and general fit calculation
In fusion, also therefore it is referred to as the third wave that world information industry develops after computer, internet.Internet of Things is mutual
The application extension of networking, rather than Internet of Things is network, Internet of Things is business and application.Therefore, application innovation is thing
The core of networking development, the innovation 2.0 using Consumer's Experience as core are the souls of Internet of Things development.
Management for livestock, always be extensive management, but be performed such livestock cultivation intelligence degree it is too low,
Scientific and technological content is low, it is impossible to the growing state of accurate perception livestock.
The content of the invention
The technical problem to be solved in the present invention, which is to provide one kind, can grasp livestock growth situation in real time, and in good time to domestic animal
The various situations of poultry make the livestock management method based on Internet of Things of effective solution.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention is：The livestock management side based on Internet of Things
Method, comprise the following steps：
(1) detection device is installed on the neck and/or ear and/or tail of livestock；
(2) the livestock growth data message obtained in detection device is obtained, the growth data message includes body temperature, activity
Time, heart rate and pH value；
(3) Variable Selection is carried out to the growth data message in the step (2), and carries out nondimensionalization processing；
(4) cluster analysis is carried out using Spectral Clustering, judges the stage of growth type of livestock；
(5) select and transfer the solution corresponding with the step (4), and output data information result and solution are arranged
It is applied to user terminal and carries out display and checks.
The data message of livestock each stage of growth is different, certain different in feature, thus by including
Body temperature, activity time, heart rate and pH value etc. carry out processing and form characteristic variable, then growth of the clustering algorithm to the livestock can be used
Stage makes a distinction；Above-mentioned technical proposal uses growth of the big data Internet of Things network means to livestock according to the data of livestock itself
Stage carries out statistical analysis, so as to provide the data supporting with scientific explarnation for raiser (i.e. user), has not both had to as passing
System breeding way is wasted time and energy like that, also allows analysis result more scientific；Analysis result and counter-measure are sent to user
Terminal, livestock growth situation can be grasped in real time, and effective solution is made to the various situations of livestock in good time；Need to illustrate
Be collection livestock data message include but be not limited to aforementioned four, can also be increased.
Preferably, position locator, the growth data gathered in the step (2) are additionally provided with the detection device
Information includes positional information, and the position locator can also be by wireless network transmissions to user terminal.
Because livestock is largely put in a suitable place to breed, using position locator, the position of livestock can be grasped in real time, while also may be used
The position of livestock, with reference to the two situation, helps to obtain more accurately analysis result during showing that data exception produces.
Preferably, wireless transport module, the livestock number that the detection device will detect are provided with the detection device
It is believed that breath is uploaded to cloud server by wireless transport module；The cloud server carries out Treatment Analysis to data message,
And analysis result is transmitted through the network to user terminal；The cloud server is additionally provided with storage inside module, the cloud
The information for selecting and transferring from the storage inside module is sent to user terminal by end server.
Preferably, the user terminal is equipped with the mobile phone of corresponding A pp clients, or computer.
Preferably, the wireless transport module uses 3G or wifi bluetooths.
Brief description of the drawings
Technical scheme is further described below in conjunction with the accompanying drawings：
Fig. 1 is the structural representation of the livestock management system based on Internet of Things of the present invention；
Wherein：1- detection devices；2- wireless transport modules；3- cloud servers；4- user terminals；5- storage inside moulds
Block；6- position locators.
Embodiment
In order to deepen the understanding of the present invention, the present invention is done below in conjunction with drawings and examples and further retouched in detail
State, the embodiment is only used for explaining the present invention, and protection scope of the present invention is not formed and limited.
The livestock management method based on Internet of Things of the present invention, comprises the following steps：
(1) detection device is installed on the neck and/or ear and/or tail of livestock；
(2) the livestock growth data message obtained in detection device is obtained, the growth data message includes body temperature, activity
Time, heart rate and pH value；
(3) Variable Selection is carried out to the growth data message in the step (2), and carries out nondimensionalization processing；
(4) cluster analysis is carried out using Spectral Clustering, judges the stage of growth type of livestock；
(5) select and transfer the solution corresponding with the step (4), and output data information result and solution are arranged
It is applied to user terminal and carries out display and checks；
Wherein, in the step (3), the dependency relation between variable is weighed using Pearson correlation coefficient, it is counted
It is as follows to calculate formula：
Wherein, variable X be x coordinate a little set；Variable Y be y-coordinate a little set；N represents point
Total number；
Variable with strong correlation is deleted according to the dependency relation between each variable.
Pair in the step (3), nondimensionalization processing is carried out to the variable after screening, standardized using min-max, i.e.,
Initial data carries out linear transformation, result is mapped between [0,1], formula is：
Wherein, max be sample data maximum, min be sample data minimum value, XiFor sample, XnewFor the sample
The new data that nondimensionalization obtains.
It is a kind of clustering method based on graph theory in spectral clustering principle, regards sample as summit, the similarity of sample is regarded as
Cum rights side.So, the process for sample set being divided into K cluster is equivalent to the segmentation problem of a figure.It is required that similarity between group
Low, similarity is high in group.
In the step (4), the Spectral Clustering specific steps include：The first step, data prepare, and generate figure
Adjacency matrix；Second step, normalize this matrix of pula；3rd step, generate k characteristic value of minimum and corresponding characteristic vector；
4th step, characteristic vector or a small amount of characteristic vector k-means are clustered.
In the step (4), code requirement cut set criterion is split in the Spectral Clustering；
According to spectral graph theory, new objective cost function NCut is as follows：
Wherein, Vol (A, V)=∑I ∈ A, t ∈ VWit,
Specification cut set criterion is to minimize NCut functions.
The present invention weighs various cut set criterions, and finally code requirement cut set criterion is split in spectral clustering, domestic animal
Poultry stage of growth data message analysis result accuracy rate is up to more than 96.5%, and appropriate solution can be provided according to analysis result
Measure.
Position locator, the growth data packets gathered in the step (2) are additionally provided with the detection device
Positional information is included, the position locator can also be by wireless network transmissions to user terminal.
Wireless transport module is provided with the detection device, the detection device leads to the livestock data message detected
Cross wireless transport module and be uploaded to cloud server；The cloud server carries out Treatment Analysis to data message, and will analysis
As a result it is transmitted through the network to user terminal；The cloud server is additionally provided with storage inside module, the cloud server
The information for selecting and transferring from the storage inside module is sent to user terminal.
The user terminal is equipped with the mobile phone of corresponding A pp clients, or computer.
The wireless transport module uses 3G or wifi bluetooths.
As shown in figure 1, the livestock management system based on Internet of Things includes detection device 1, the detection device 1 is arranged on
The neck and/or ear and/or tail of livestock, the detection device 1 are used for body temperature, heart rate, pH value and the action for recording livestock
Frequency；Wireless transport module 2 is provided with the detection device 1, the detection device 1 leads to the livestock data message detected
Cross wireless transport module 2 and be uploaded to cloud server 3；The cloud server 3 carries out Treatment Analysis to data message, and will divide
Analysis result is transmitted through the network to user terminal 4；The cloud server 3 is additionally provided with storage inside module 5, the high in the clouds clothes
The information for selecting and transferring from the storage inside module 5 is sent to user terminal 4 by business device 3；The detection device 1 is also interior
It is equipped with position locator 6；The user terminal 4 is equipped with the mobile phone of corresponding A pp clients, can also be computer.
The wireless transport module 2 uses 3G or wifi bluetooths.
For the ordinary skill in the art, simply the present invention is exemplarily described for specific embodiment,
Obviously present invention specific implementation is not subject to the restrictions described above, and is entered as long as employing the inventive concept and technical scheme of the present invention
The improvement of capable various unsubstantialities, or it is not improved by the present invention design and technical scheme directly apply to other occasions
, within protection scope of the present invention.
Claims (5)
- A kind of 1. livestock management method based on Internet of Things, it is characterised in that comprise the following steps：(1) detection device is installed on the neck and/or ear and/or tail of livestock；(2) obtain detection device on obtain livestock growth data message, it is described growth data message include body temperature, it is movable when Between, heart rate and pH value；(3) Variable Selection is carried out to the growth data message in the step (2), and carries out nondimensionalization processing；(4) cluster analysis is carried out using Spectral Clustering, judges the stage of growth type of livestock；(5) select and transfer the solution corresponding with the step (4), and output data information result and solution are given User terminal carries out display and checked.
- 2. the livestock management method according to claim 1 based on Internet of Things, it is characterised in that in the detection device Position locator is additionally provided with, the growth data message gathered in the step (2) includes positional information, and the position locator is also Can be by wireless network transmissions to user terminal.
- 3. the livestock management method according to claim 1 based on Internet of Things, it is characterised in that set in the detection device Wireless transport module is equipped with, the livestock data message detected is uploaded to high in the clouds by the detection device by wireless transport module Server；The cloud server carries out Treatment Analysis to data message, and analysis result is transmitted through the network into user's end End；The cloud server is additionally provided with storage inside module, and the cloud server will select from the storage inside module The information selected and transferred is sent to user terminal.
- 4. the livestock management system according to claim 3 based on Internet of Things, it is characterised in that the user terminal is dress There are the mobile phone of corresponding A pp clients, or computer.
- 5. the livestock management system according to claim 4 based on Internet of Things, it is characterised in that the wireless transport module Using 3G or wifi bluetooths.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710636708.XA CN107465733A (en) | 2017-07-31 | 2017-07-31 | Livestock management method based on Internet of Things |
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| CN201710636708.XA CN107465733A (en) | 2017-07-31 | 2017-07-31 | Livestock management method based on Internet of Things |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108293906A (en) * | 2018-02-01 | 2018-07-20 | 深圳市世纪天元科技有限公司 | A kind of herd management system based on Internet of Things |
| CN109758127A (en) * | 2019-02-01 | 2019-05-17 | 内蒙古蜜蜂科技有限公司 | A kind of the growth management-control method and system of livestock |
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| CN105191817A (en) * | 2015-10-27 | 2015-12-30 | 湖南环球信士科技有限公司 | Ear tag for cattle |
| CN105475145A (en) * | 2015-12-11 | 2016-04-13 | 盐城工业职业技术学院 | Large farm livestock breeding system based on internet of things |
| CN205337145U (en) * | 2015-12-11 | 2016-06-29 | 盐城工业职业技术学院 | Large farm livestock breeding system based on thing networking |
| CN106510667A (en) * | 2016-12-16 | 2017-03-22 | 重庆信首科技有限公司 | Free-range cattle physiological parameter acquisition system |
-
2017
- 2017-07-31 CN CN201710636708.XA patent/CN107465733A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102871649A (en) * | 2012-10-11 | 2013-01-16 | 上海移远通信技术有限公司 | Livestock state monitoring equipment, livestock state monitoring system and operating method for system |
| CN105191817A (en) * | 2015-10-27 | 2015-12-30 | 湖南环球信士科技有限公司 | Ear tag for cattle |
| CN105475145A (en) * | 2015-12-11 | 2016-04-13 | 盐城工业职业技术学院 | Large farm livestock breeding system based on internet of things |
| CN205337145U (en) * | 2015-12-11 | 2016-06-29 | 盐城工业职业技术学院 | Large farm livestock breeding system based on thing networking |
| CN106510667A (en) * | 2016-12-16 | 2017-03-22 | 重庆信首科技有限公司 | Free-range cattle physiological parameter acquisition system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108293906A (en) * | 2018-02-01 | 2018-07-20 | 深圳市世纪天元科技有限公司 | A kind of herd management system based on Internet of Things |
| CN109758127A (en) * | 2019-02-01 | 2019-05-17 | 内蒙古蜜蜂科技有限公司 | A kind of the growth management-control method and system of livestock |
| CN109758127B (en) * | 2019-02-01 | 2022-02-18 | 内蒙古蜜蜂科技有限公司 | Growth control method and system for livestock |
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Application publication date: 20171212 |
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