Animal husbandry management system based on Internet of Things

Abstract

The invention discloses an animal husbandry management system based on the Internet of Things. The system comprises terminal equipment, a cloud service platform, comprehensive application equipment and a third-party application platform, the terminal equipment with unique identification is fixed on each animal, various information such as positioning information, temperature information, displacement information and the like are sensed and recognized, the situation of daily breeding of each animal is monitored by a user in real time through a PC end and an APP, the functions of positioning, tracking, trajectory viewing, monitoring and the like of animals are achieved, and unique archival information of each animal is established, so that the management of livestock breeding is more scientific and refined, and the statistics and analysis are conducted on data to further improve management.

Description

technical field [0001] The invention relates to the field of animal husbandry, in particular to an animal husbandry management system based on the Internet of Things. Background technique [0002] Nowadays, there are technologies on the market that use Internet of Things technology to manage livestock breeding, but basically it is to wear multiple terminal devices and perform sensing on the breeding system and breeding environment (such as breeding greenhouses), so as to make the temperature, moisture and other factors of the breeding environment After exceeding the safety range, the comprehensive application layer of the Internet of Things uses the management service layer to make the preset equipment adjust the breeding environment, so that various environmental factors are always maintained within the range required by the user. [0003] This technology can control and adjust the breeding environment at a macro level, but it cannot be refined to real-time monitoring and i...

AI Technical Summary

Problems solved by technology

[0003] This technology can control and adjust the breeding environment at a macro level, but it cannot be refined to real-time monitoring and information monitoring of each animal, and users cannot call the breeding information of each animal from the comprehensive application layer. When animals are stolen, get sick unexpectedly, die unexpectedly, escape from the breeding range, etc., the user cannot know, so the breeding management is still highly dependent on the breeders, and it is impossible to collect the daily information of the animals. , statistics and analysis to provide reference data for the next step of breeding management

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