Animal disease detection early-warning system and method based on technology of internet of things

Abstract

The invention discloses an animal disease detection early-warning system and method based on the technology of internet of things. An animal motion detection area is defined, an animal excitation device, such as a food distributor or a water drinking system, and an RFID tag reader are arranged in the detection area, and animals wearing RFID tags are recorded and counted when entering or getting out of the detection area. When moving situations of the animals are monitored by means of the method, a user of a prewarning system can receive a message that the animals have potential health problems if the moving situations of the animals in the detection area in a period are reduced to a low level such as being lower than an alarm trigger point. The method is used for prompting to examine the animals further to find whether the animals have diseases or are infected so as to achieve the functions of early detection and treatment.

Description

technical field [0001] The invention relates to the field of Internet of Things technology and intelligent agriculture, in particular to an early warning system and method for animal disease detection using Internet of Things technology. Background technique [0002] The detection and control of animal infectious diseases and epidemics has become one of the issues of great concern to the modern animal husbandry industry. In recent years, veterinary health incidents such as mad cow disease, foot-and-mouth disease, and highly pathogenic avian influenza have occurred frequently in the world, especially the recent case of avian influenza directly infecting humans, making the threat of animal diseases to human health a political issue that affects society. Farmers are trying to increase production and efficiency, and the density of animals in farms is increasing. Once an epidemic occurs, it is very easy to spread quickly. Animal foot-and-mouth disease and bird flu outbreaks in v...

AI Technical Summary

Problems solved by technology

But this traditional method of disease detection is highly dependent on the experience of the breeder and the degree of attention to monitoring the animals

In addition, the process of checking the vital signs of sick animals is a serialized, cumbersome and slow process

This traditional inspection process often results in delays and prevents expedited quarantine and preventive and therapeutic treatment of the remaining animals.

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