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A design method for fattening pig houses based on the analysis of pig behavior patterns based on big data

A design method and big data technology, applied in the field of breeding, can solve problems such as seldom considering the influence of pig behavior on the effect of fattening, failure to obtain the best fattening effect, and inability to design pig houses, etc.

Inactive Publication Date: 2017-06-16
CHINA AGRI UNIV
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Problems solved by technology

[0010] The technical problem to be solved by the present invention is: in the existing pig house design process, the influence of pig behavior on the fattening effect is rarely considered, so it is impossible to design a pig house that is more conducive to pig fattening, and it is impossible to obtain the best fattening effect question

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  • A design method for fattening pig houses based on the analysis of pig behavior patterns based on big data

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Embodiment Construction

[0035] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0036] A method for designing a fattening pig house based on big data pig behavior analysis of the present invention includes two major steps:

[0037] Step 1: Obtain the big data stream of pig behavior. The specific steps are as follows:

[0038] A1: Select several piglets with similar developmental levels, and wear RFID (English name: Radio Frequency Identification, Chinese name: Radio Frequency Identification) tags for identification for all piglets;

[0039] A2: Divide several piglets into X large groups, and divide the piglets in each large group into M groups; among the M groups, the number of piglets in each group is different; each large group The number of pigle...

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Abstract

The invention belongs to the field of breeding, and discloses a design method for fattening pig houses based on the analysis of pig behavior patterns based on big data. First, the big data flow of pig behavior is obtained through multiple experiments, and then the weight at slaughter and the total walking distance are obtained by analyzing the data flow. 1. The relationship between the total walking distance and the captive density, find the corresponding walking distance according to the best slaughter weight, and then find out the captive density corresponding to the total walking distance, that is, the optimal captive density. The present invention uses cameras and software to collect the total walking distance of the pigs, obtains the total walking distance of the corresponding pigs through the optimal slaughter weight, and then finds the corresponding captive density of the pig house where the corresponding pigs are located to find the best captive density; Incorporate the considerations of the pig house design, provide guidance for the rational design of the pig house, design a pig house that is more conducive to the life of the fattening pigs, and is beneficial to the fattening of the pigs.

Description

technical field [0001] The invention relates to the field of breeding technology, in particular to a method for designing a fattening pig house based on big data pig behavior analysis. Background technique [0002] There are many factors that affect the effect of pig fattening. [0003] 1. Variety. Pigs of different breeds have great differences in fattening performance, such as lean pigs have better fattening effect than fat pigs. [0004] Two, nutrition. The level of nutrition has a great influence on pig fattening, among which energy substances and protein are the most important influencing factors. [0005] 3. Feeding methods. Pig feeding methods usually adopt two kinds of free feeding and restricted feeding. Pigs fed ad libitum gain weight faster and have fatter carcasses; pigs with restricted feed gain slower, have higher feed utilization efficiency, and have thinner carcass backfat. [0006] Fourth, the environment. Environmental factors mainly include group li...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50A01K1/02
Inventor 冀荣华李鑫郑立华高万林刘云玲张港红
Owner CHINA AGRI UNIV
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