CN111998923B - Internet of things livestock breeding data acquisition method - Google Patents

Internet of things livestock breeding data acquisition method Download PDF

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CN111998923B
CN111998923B CN202010950205.1A CN202010950205A CN111998923B CN 111998923 B CN111998923 B CN 111998923B CN 202010950205 A CN202010950205 A CN 202010950205A CN 111998923 B CN111998923 B CN 111998923B
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coordinate
weighing sensor
value
distance
livestock
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CN111998923A (en
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林金田
韩勇
许冠
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Ruima Electric Manufacturing Fujian Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01GWEIGHING
    • G01G17/00Apparatus for or methods of weighing material of special form or property
    • G01G17/08Apparatus for or methods of weighing material of special form or property for weighing livestock
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; 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

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  • Environmental Sciences (AREA)
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Abstract

The invention discloses an internet-of-things livestock breeding data acquisition method, which comprises the following steps: collecting a first value F1A second value F2A third value F3And a fourth value F4(ii) a Acquiring a first coordinate (x)10), second coordinate (x)20), third coordinate (0, y)3) And fourth coordinate (0, y)4) (ii) a Solving a fifth coordinate (x, y) of the first position where the livestock to be weighed is located; respectively solving for the first distance r1A second distance r2A third distance r3A fourth distance r4(ii) a And solving the weight G of the livestock to be weighed. In the present invention, the first values F are respectively matched1A second value F2A third value F3And a fourth value F4The weighting coefficient is added, so that errors caused by different positions of the livestock to be weighed can be effectively reduced when the livestock to be weighed are weighed, the weighing mode of the livestock is simplified, and the weighing automation of the livestock is realized.

Description

Internet of things livestock breeding data acquisition method
Technical Field
The invention relates to the technical field of livestock breeding, in particular to an internet of things livestock breeding data acquisition method.
Background
The livestock is an animal highly domesticated by human, is a social product of long-term labor of human, has unique economic characters, can meet the requirements of human, forms different varieties, can normally breed offspring under the condition of artificial breeding, can change along with the change of artificial selection and production direction, and can be stably inherited.
At the in-process that the domestic animal was bred, need monitor each item data index of domestic animal to learn the weight of domestic animal each stage of breeding, traditional mode of weighing is too troublesome, is difficult to in time discover the domestic animal that the weight reaches the standard, also is difficult to filter the domestic animal of different weights, extravagant manpower and materials, and easily because the deviation of the result of weighing is caused to the hyperactivity of domestic animal.
Disclosure of Invention
In view of the defects in the prior art, the invention aims to provide an internet-of-things livestock breeding data acquisition method, and aims to solve the problem that the traditional livestock weighing mode is too troublesome and effectively reduce the deviation of the weighing result.
In order to achieve the purpose, the invention provides an internet-of-things livestock breeding data acquisition method, which comprises the following steps:
step S1, collecting a first numerical value F of a first weighing sensor in a farm1A second value F of a second weighing cell2A third value F of a third weighing cell3And a fourth value F of a fourth load cell4(ii) a A bearing plate is laid on the farm; the first weighing sensor, the third weighing sensor, the second weighing sensor and the fourth weighing sensor are respectively arranged at four corners of the farm in a counterclockwise sequence and are positioned below the bearing plate; the field of the farm is square; the distance from four corners of the farm to the center of the farm is a; establishing a first coordinate system by taking the center of the farm as a coordinate origin O, taking a first straight line passing through the first weighing sensor and the second weighing sensor as an X axis and taking a second straight line passing through the third weighing sensor and the fourth weighing sensor as a Y axis;
step S2, obtaining a first coordinate (x) of the position of the first weighing sensor10), second coordinate (x) of the position of the second load cell20), third coordinate (0, y) of the location of the third load cell3) And a fourth coordinate (0, y) of the location of the fourth load cell4) (ii) a Wherein a ═ x1=x2=-y3=y4
Step S3, according to the first numerical value F1The second value F2The third value F3The fourth value F4The first coordinate (x)10), the second coordinate (x)20), the third coordinate (0, y)3) And the fourth coordinate (0, y)4) Solving a fifth coordinate (x, y) of the first position where the livestock to be weighed is located; wherein, the
Figure GDA0003224295320000021
The above-mentioned
Figure GDA0003224295320000022
Step S4, according to the fifth coordinate (x, y) and the first coordinate (x)10), the second coordinate (x)20), the third coordinate (0, y)3) And the fourth coordinate (0, y)4) Respectively solving a first distance r between the first position and the first weighing sensor1A second distance r between the first position and the second weighing sensor2A third distance r between the first position and the third weighing sensor3A fourth distance r between the first position and the fourth weighing sensor4(ii) a Wherein the first distance
Figure GDA0003224295320000023
The second distance
Figure GDA0003224295320000031
The third distance
Figure GDA0003224295320000032
The fourth distance
Figure GDA0003224295320000033
Step S5, according to the first numerical value F1The second value F2The third value F3The fourth value F4The first distance r1The second distance r2The third distance r3The fourth distance r4And a, solving the weight G of the livestock to be weighed; wherein the weight is
Figure GDA0003224295320000034
The above-mentioned
Figure GDA0003224295320000035
The above-mentioned
Figure GDA0003224295320000036
The above-mentioned
Figure GDA0003224295320000037
And the above-mentioned
Figure GDA0003224295320000038
And solving a weighting coefficient for the weight of the livestock to be weighed, wherein beta is an experimental preset value, and beta is more than 0.9 and less than 1.
In the technical scheme, the fifth coordinates (x, y) of the first position where the livestock to be weighed is located can be accurately solved by acquiring the numerical values of the weighing sensors and the coordinates corresponding to the positions where the weighing sensors are located; the first value F of the first weighing sensor1The second value F of the second weighing cell2The third value F of the third weighing sensor3And said fourth value F of said fourth load cell4Changes along with the difference of the positions of the livestock to be weighed, if the numerical values are directly added, certain errors are generated, and the first numerical values F are respectively subjected to1The second value F2The third value F3And the fourth value F4The weighting coefficient is added, so that errors caused by different positions of the livestock to be weighed when the livestock to be weighed are weighed can be effectively reduced, the weighing efficiency of the livestock is improved, the weighing mode of the livestock is simplified, and the weighing automation of the livestock is realized.
In a specific embodiment, the method further comprises: and solving the experimental preset value beta through a preliminary experiment.
In one embodiment, the bearing plate is a steel bearing plate.
In a specific embodiment, the initial values of the first, second, third and fourth load cells are corrected, i.e. when there is no livestock to be weighed on the bearing plate, the initial values of the first, second, third and fourth load cells are all zero.
In one embodiment, the bearing plate is a grid-like hollow.
In one embodiment, the livestock to be weighed is located on the load-bearing plate.
The invention has the beneficial effects that: in the invention, the fifth coordinates (x, y) of the first position where the livestock to be weighed is located can be accurately solved by acquiring the numerical values of the weighing sensors and the coordinates corresponding to the positions of the weighing sensors; the first value F of the first weighing sensor1The second value F of the second weighing cell2The third value F of the third weighing sensor3And said fourth value F of said fourth load cell4Changes along with the difference of the positions of the livestock to be weighed, if the numerical values are directly added, certain errors are generated, and the first numerical values F are respectively subjected to1The second value F2The third value F3And the fourth value F4The weighting coefficient is added, so that errors caused by different positions of the livestock to be weighed when the livestock to be weighed are weighed can be effectively reduced, the weighing efficiency of the livestock is improved, the weighing mode of the livestock is simplified, and the weighing automation of the livestock is realized.
Drawings
Fig. 1 is a flow chart of a livestock breeding data acquisition method of the internet of things according to an embodiment of the invention;
FIG. 2 is a diagram illustrating the positional relationship between each load cell and the livestock to be weighed in accordance with one embodiment of the present invention;
fig. 3 is a schematic view showing the respective load cells and the load applied to the livestock to be weighed according to an embodiment of the present invention.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
as shown in fig. 1, in an embodiment of the present invention, there is provided an internet of things livestock breeding data acquisition method, including:
step S1, collecting a first numerical value F of a first weighing sensor in a farm1A second value F of a second weighing cell2A third value F of a third weighing cell3And a fourth value F of a fourth load cell4(ii) a A bearing plate is laid on the farm; the first weighing sensor, the third weighing sensor, the second weighing sensor and the fourth weighing sensor are respectively arranged at four corners of the farm in a counterclockwise sequence and are positioned below the bearing plate; the field of the farm is square; the distance from four corners of the farm to the center of the farm is a; establishing a first coordinate system by taking the center of the farm as a coordinate origin O, taking a first straight line passing through the first weighing sensor and the second weighing sensor as an X axis and taking a second straight line passing through the third weighing sensor and the fourth weighing sensor as a Y axis;
step S2, obtaining a first coordinate (x) of the position of the first weighing sensor10), second coordinate (x) of the position of the second load cell20), third coordinate (0, y) of the location of the third load cell3) And a fourth coordinate (0, y) of the location of the fourth load cell4) (ii) a Wherein a ═ x1=x2=-y3=y4
Step S3, according to the first numerical value F1The second value F2The third value F3The fourth value F4The first coordinate (x)10), the second coordinate (x)20), the third coordinate (0, y)3) And the fourth coordinate (0, y)4) Solving a fifth coordinate (x, y) of the first position where the livestock to be weighed is located; wherein, the
Figure GDA0003224295320000051
The above-mentioned
Figure GDA0003224295320000052
Step S4, according to the fifth coordinate (x, y) and the first coordinate (x)10), the second coordinate (x)20), the third coordinate (0, y)3) And the fourth coordinate (0, y)4) Respectively solving a first distance r between the first position and the first weighing sensor1A second distance r between the first position and the second weighing sensor2A third distance r between the first position and the third weighing sensor3A fourth distance r between the first position and the fourth weighing sensor4(ii) a Wherein the first distance
Figure GDA0003224295320000061
The second distance
Figure GDA0003224295320000062
The third distance
Figure GDA0003224295320000063
The fourth distance
Figure GDA0003224295320000064
Step S5, according to the first numerical value F1The second value F2The third value F3The fourth value F4The first distance r1The second distance r2The third distance r3The fourth distance r4And a, solving the weight G of the livestock to be weighed; wherein the weight is
Figure GDA0003224295320000065
The above-mentioned
Figure GDA0003224295320000066
The above-mentioned
Figure GDA0003224295320000067
The above-mentioned
Figure GDA0003224295320000068
And the above-mentioned
Figure GDA0003224295320000069
And solving a weighting coefficient for the weight of the livestock to be weighed, wherein beta is an experimental preset value, and beta is more than 0.9 and less than 1.
In this embodiment, the method further includes:
and solving the experimental preset value beta through a preliminary experiment.
It is worth mentioning that the method for solving the experiment preset value beta in advance through experiments comprises the following steps:
the livestock to be weighed is positioned at the center of the farm to obtain the standard weight G of the livestock to be weighed;
the livestock to be weighed is positioned at a second position to obtain a numerical value F of the first weighing sensor1', value F of said second load cell2', value F of said third load cell3', value F of said fourth load cell4′;
Solving for a sixth coordinate (x ', y') of the second location;
solving for the distance r between the second location and the first weighing cell1', a distance r between the second position and the second load cell2', a distance r between the second position and the third weighing sensor3' and the distance r between the second position and the fourth load cell4′;
According to
Figure GDA0003224295320000071
And solving the experimental preset value beta.
In this embodiment, the bearing plate is a steel bearing plate.
In this embodiment, the initial values of the first weighing cell, the second weighing cell, the third weighing cell and the fourth weighing cell are corrected, that is, when there is no livestock to be weighed on the bearing plate, the initial values of the first weighing cell, the second weighing cell, the third weighing cell and the fourth weighing cell are all zero.
In this embodiment, the bearing plate is a grid-shaped hollow.
In this embodiment, the livestock to be weighed is located on the bearing plate.
The equations involved in this example are derived as follows:
as shown in fig. 2-3, the distance between two points can be calculated as:
a first distance between the first position and the first load cell
Figure GDA0003224295320000072
A second distance between the first position and the second load cell
Figure GDA0003224295320000073
A third distance between the first position and the third weighing sensor
Figure GDA0003224295320000074
And a fourth distance between the first position and the fourth load cell
Figure GDA0003224295320000075
In the direction along the X-axis, from the moment balance:
F1(x-x1)=F2(x-x2) Is simplified to obtain
Figure GDA0003224295320000076
In the direction along the Y-axis, from the moment balance:
F3(y-y3)=F4(y-y4) Is simplified to obtain
Figure GDA0003224295320000081
Specific embodiments of the present invention have been described above in detail. It is to be understood that the specific embodiments of the present invention are not exclusive and that modifications and variations may be made by one of ordinary skill in the art in light of the spirit of the present invention, within the scope of the appended claims. Therefore, technical solutions that can be obtained by a person skilled in the art through logic analysis, reasoning or limited experiments based on the prior art according to the embodiments of the present invention should be within the scope of protection defined by the claims.

Claims (6)

1. An internet-of-things livestock breeding data acquisition method is characterized by comprising the following steps:
step S1, collecting a first numerical value F of a first weighing sensor in a farm1A second value F of a second weighing cell2A third value F of a third weighing cell3And a fourth value F of a fourth load cell4(ii) a A bearing plate is laid on the farm; the first weighing sensor, the third weighing sensor, the second weighing sensor and the fourth weighing sensor are respectively arranged at four corners of the farm in a counterclockwise sequence and are positioned below the bearing plate; the field of the farm is square; the distance from four corners of the farm to the center of the farm is a; establishing a first coordinate system by taking the center of the farm as a coordinate origin O, taking a first straight line passing through the first weighing sensor and the second weighing sensor as an X axis and taking a second straight line passing through the third weighing sensor and the fourth weighing sensor as a Y axis;
step S2, obtaining a first coordinate (x) of the position of the first weighing sensor10), second coordinate (x) of the position of the second load cell20), third coordinate (0, y) of the location of the third load cell3) And a fourth coordinate (0, y) of the location of the fourth load cell4) (ii) a Wherein a ═ x1=x2=-y3=y4
Step S3 according toThe first value F1The second value F2The third value F3The fourth value F4The first coordinate (x)10), the second coordinate (x)20), the third coordinate (0, y)3) And the fourth coordinate (0, y)4) Solving a fifth coordinate (x, y) of the first position where the livestock to be weighed is located; wherein, the
Figure FDA0003224295310000011
The above-mentioned
Figure FDA0003224295310000012
Step S4, according to the fifth coordinate (x, y) and the first coordinate (x)10), the second coordinate (x)20), the third coordinate (0, y)3) And the fourth coordinate (0, y)4) Respectively solving a first distance r between the first position and the first weighing sensor1A second distance r between the first position and the second weighing sensor2A third distance r between the first position and the third weighing sensor3A fourth distance r between the first position and the fourth weighing sensor4(ii) a Wherein the first distance
Figure FDA0003224295310000021
The second distance
Figure FDA0003224295310000022
The third distance
Figure FDA0003224295310000023
The fourth distance
Figure FDA0003224295310000024
Step S5, according to the first numerical value F1The second value F2The third value F3Station, stationThe fourth numerical value F4The first distance r1The second distance r2The third distance r3The fourth distance r4And a, solving the weight G of the livestock to be weighed; wherein the weight is
Figure FDA0003224295310000025
The above-mentioned
Figure FDA0003224295310000026
The above-mentioned
Figure FDA0003224295310000027
The above-mentioned
Figure FDA0003224295310000028
And the above-mentioned
Figure FDA0003224295310000029
And solving a weighting coefficient for the weight of the livestock to be weighed, wherein beta is an experimental preset value, and beta is more than 0.9 and less than 1.
2. The internet of things livestock breeding data acquisition method of claim 1, further comprising: and solving the experimental preset value beta through a preliminary experiment.
3. The method for collecting livestock breeding data of the internet of things as claimed in claim 1, wherein said bearing plate is a steel bearing plate.
4. The method for acquiring livestock breeding data of the internet of things of claim 1, wherein the initial values of the first weighing sensor, the second weighing sensor, the third weighing sensor and the fourth weighing sensor are corrected, that is, when there is no livestock to be weighed on the bearing plate, the initial values of the first weighing sensor, the second weighing sensor, the third weighing sensor and the fourth weighing sensor are all zero.
5. The method for collecting livestock breeding data of the internet of things as claimed in claim 1, wherein said bearing plate is a grid-like hollow.
6. The method for acquiring the livestock breeding data of the internet of things as claimed in claim 1, wherein the livestock to be weighed are positioned on the bearing plate.
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Denomination of invention: A Data Collection Method for Livestock Breeding in the Internet of Things

Granted publication date: 20211001

Pledgee: Agricultural Bank of China Limited by Share Ltd. Putian branch

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