Animal epidemic situation diagnosis method based on Bayes network and system

Abstract

The invention discloses an animal epidemic situation diagnosis method based on a Bayes network and a system, wherein the method comprises the following steps of S1, constructing an animal epidemic situation diagnosis Bayes network; S2, acquiring animal signs and environment data which comprises animal gender, age, body temperature and one-day motion number-of-steps, environment temperature and humidity of the animal, and animal epidemic situation artificial diagnosis historical record; S3, discretizing the acquired animal sign and environment data; S4, training the animal epidemic situation diagnosis Bayes network by means of discretized data; S5, calculating an animal epidemic situation occurring probability according to the trained animal epidemic situation diagnosis Bayes network; and S6, performing early-warning when the animal epidemic situation occurring probability exceeds a preset threshold. According to the method and the system, remote, automatic and accurate diagnosis and early-warning can be performed on the epidemic situation according to the sign data and the environment data of the animal, thereby effectively preventing occurrence of large-scale animal epidemic diseases, and maximally ensuring high safety of meat food.

Description

technical field [0001] The present invention relates to the fields of agriculture and artificial intelligence, and more specifically, to a method and system for diagnosing animal epidemics based on Bayesian networks. Background technique [0002] Meat food safety is a topic of widespread concern in society. The fundamental means to ensure the safety of meat food is to strengthen the disease monitoring in the process of animal breeding, to prevent the occurrence of large-scale animal epidemics, and to avoid the flow of diseased and dead meat into the market. At present, the main method of animal epidemic prevention and control still relies on manual diagnosis. However, manual diagnosis has problems of high cost and lag, and real-time monitoring and diagnosis cannot be achieved. The use of sensor technology to observe animal signs in real time is an effective means to realize automatic monitoring of animal breeding diseases. For example: patent CN201610593810.1 discloses an...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the existing methods for diagnosing animal epidemics are not accurate enough. The present invention provides a method and system for diagnosing animal epidemics based on Bayesian networks

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