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Livestock health index monitoring management analysis system

An analysis system, monitoring and management technology, applied in the field of animal husbandry, can solve the problems of a lot of manpower and time, lack of health standards, etc., and achieve the effect of accurate test results

Active Publication Date: 2022-01-14
XINJIANG ACADEMY OF AGRI & RECLAMATION SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005]The purpose of the present invention is to solve the lack of health standards in the prior art. At the same time, for a large number of livestock, it takes a lot of manpower and time to check one by one However, a monitoring management analysis system for livestock health indicators is proposed

Method used

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  • Livestock health index monitoring management analysis system
  • Livestock health index monitoring management analysis system
  • Livestock health index monitoring management analysis system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] like Figure 1-4 As shown, the electric bicycle motor detection device of a livestock health index monitoring and management analysis system proposed by the present invention includes an analysis host, a monitoring sensor 4 and an analysis system arranged inside the analysis host. The analysis system includes a central processing module 1, a data sorting system 2. The sampling detection system 3, the cloud storage system 5, the judgment module 6, the deep learning module 7 and the monitoring system 8, the communication connection between the monitoring sensor 4 and the cloud storage system 5, the monitoring sensor 4 is installed on the limbs of livestock and conducts monitoring of the livestock. Code division, communication connection between cloud storage system 5 and data sorting system 2, monitoring sensor 4 is only installed on a part of the limbs of livestock, the information monitored by monitoring sensor 4 on livestock includes respiratory rate, heartbeat and estr...

Embodiment 2

[0031] like Figure 1-4 As shown, on the basis of the first embodiment, the deep learning module 7 and the data storage module 14 are connected in communication, and the deep learning module 7 performs deep learning according to the data in the data storage module 14, and performs deep learning on the relationship between seasons and livestock. Analysis, and then establish a livestock health-season model, the deep learning module 7 is connected with the central processing module 1, and the data used by the deep learning module 7 in the process of deep learning is the historical data retained in the pasture. The established livestock The corresponding indicators of the health-season model in spring, summer and autumn are body temperature 38-39°C, respiration 15-35 times per minute, pulse rate 60-80 times per minute, and body weight 800-900Kg;

[0032] In winter, the corresponding indicators are body temperature 38-39 ℃, breathing 15-35 times per minute, pulse rate 60-80 times p...

Embodiment 3

[0036] like Figure 1-4 As shown, based on the above-mentioned first or second embodiment, the interior of the sampling detection system 3 includes a regional selection module 15 and an index collection module 16, and the index collection module 16 detects the indexes of livestock, and the sampling indexes include respiratory rate, heartbeat, whether runny nose, wet nose, weight, and frequency of heat;

[0037] The interior of the monitoring system 8 includes an image acquisition module 9, an image processing module 10, and an image recognition module 11. The image recognition module 11 identifies the image and confirms the specific codes of mutual attacks between livestock. The data processing system 2 includes data acquisition. Module 12, data culling module 13 and data storage module 14, the data culling module 13 culls the data of the code according to the specific code detected in the image recognition module 11;

[0038] The image acquisition module 9 shoots and collect...

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Abstract

The invention discloses a livestock health index monitoring management analysis system and relates to the field of animal husbandry. The system comprising an analysis host, monitoring sensors and an analysis system arranged in the analysis host. The analysis system comprises a central processing module, a data arrangement system, a sampling detection system, a cloud storage system, a judgment module, a deep learning module and a monitoring system, the monitoring sensors are in communication connection with the cloud storage system, and the monitoring sensors are installed on the four limbs of the livestock and carry out code division on the livestock. Through the deep learning module, deep learning can be carried out on previous livestock data in a pasture, association between the data is associated, a livestock health-season model is established for the relationship between seasons and data, and through the model, health models among spring, summer and autumn and a winter health model can be established respectively. Therefore, the health condition of the livestock in each season can be effectively judged.

Description

technical field [0001] The invention relates to the technical field of animal husbandry, in particular to a monitoring, management and analysis system for livestock health indicators. Background technique [0002] Livestock is a highly domesticated animal by humans, a social product of long-term human labor, with unique economic characteristics, which can meet the needs of human beings. During the process of feeding livestock, it is necessary to detect the physical condition and health status of livestock. [0003] After searching, the Chinese patent number is CN104274163A, which relates to a dynamic monitoring system for livestock health status based on multiple physiological parameters. Body temperature, pulse and blood oxygen saturation are used as the input of the neural network, and the health status of livestock is used as the output of the neural network. Bottom, protective film, cable ties and other modules. Compared with the prior art, the present invention adopts...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01K29/00A61B5/0205G16H50/30G01G17/08
CPCA01K29/005A61B5/0205A61B5/0816A61B5/024G16H50/30G01G17/08A61B2503/40Y02A40/70
Inventor 韩猛立黄新钟发钢张星星张倩吴桐忠张宾刘长彬
Owner XINJIANG ACADEMY OF AGRI & RECLAMATION SCI