Internet-of-things livestock breeding data acquisition method

A technology of data acquisition and Internet of Things, which is applied in the field of livestock breeding, can solve problems such as troubles, and achieve the effects of realizing automation, improving weighing efficiency, and simplifying methods

Active Publication Date: 2020-11-27
RUIMA ELECTRIC MFG FUJIAN
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of the defects in the existing technology, the technical problem to be solved by the present invention is to provide a method for collecting livestock breeding data in t

Method used

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  • Internet-of-things livestock breeding data acquisition method
  • Internet-of-things livestock breeding data acquisition method
  • Internet-of-things livestock breeding data acquisition method

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Embodiment Construction

[0021] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0022] like figure 1 Shown, in the specific embodiment of the present invention, provide a kind of Internet of Things livestock breeding data collection method, described method comprises:

[0023] Step S1, collect the first value F of the first load cell in the farm 1 , the second value F of the second load cell 2 , the third value F of the third load cell 3 and the fourth value F of the fourth load cell 4 ; The farm is laid with a load-bearing plate; the first load cell, the third load cell, the second load cell and the fourth load cell are respectively installed in the counterclockwise order The four corners of the farm and are located under the bearing plate; the site of the farm is a square; the distance from the four corners of the farm to the center of the farm is a; The center of is the coordinate origin O, the first line passing through the firs...

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Abstract

The invention discloses an Internet-of-things livestock breeding data acquisition method. The method comprises the steps of acqiring a first numerical value F1, a second numerical value F2, a third numerical value F3 and a fourth numerical value F4; acquiring a first coordinate (x1, 0), a second coordinate (x2, 0), a third coordinate (0, y3) and a fourth coordinate (0, y4); calculating a fifth coordinate (x, y) of a first position of a livestock to be weighed; respectively calculating a first distance r1, a second distance r2, a third distance r3 and a fourth distance r4; and calculating the weight G of the livestock to be weighed. According to the method, weighting coefficients are added to the first numerical value F1, the second numerical value F2, the third numerical value F3 and the fourth numerical value F4 respectively, errors caused by different positions of livestock to be weighed can be effectively reduced when the livestock to be weighed is weighed, the livestock weighing mode is simplified, and livestock weighing automation is achieved.

Description

technical field [0001] The invention relates to the technical field of livestock breeding, in particular to a data collection method for livestock breeding in the Internet of Things. Background technique [0002] Livestock is a highly domesticated animal and a social product of long-term human labor. It has unique economic characteristics and can meet human needs. It has formed different varieties. Under the conditions of artificial breeding, it can reproduce normally and can be artificially selected. and changes in the direction of production, while its traits can be stably inherited. [0003] In the process of livestock breeding, it is necessary to monitor various data indicators of livestock, so as to know the weight of livestock at each stage of breeding. The traditional weighing method is too troublesome, and it is difficult to find livestock with a weight that meets the standard in time, and it is also difficult to identify livestock with different weights. Screening ...

Claims

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Application Information

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IPC IPC(8): G01G17/08A01K29/00
CPCA01K29/005G01G17/08
Inventor 林金田韩勇许冠
Owner RUIMA ELECTRIC MFG FUJIAN
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