The invention discloses a method for identifying an early performance behavior of a pig
epidemic disease based on a three-axis attitude angle, and belongs to the technical field of intelligent breeding and
livestock and poultry health monitoring. According to the method, a wearable device integrated with a
gyroscope is worn on the head of a pig, and three-axis attitude angle signals such as a
yaw angle (
Yaw), a
pitch angle (
Pitch) and a roll angle (Roll) of the pig are collected in real time. And carrying out sliding
processing on the continuous attitude angle data according to a set time window, extracting behavior characteristic parameters, and carrying out comprehensive identification on behavior performance in the early stage of the suspected
epidemic disease in combination with behavior chain
pattern identification, individual-group comparative analysis, continuous
trend monitoring and an abnormal scoring mechanism. The method does not depend on other sensors such as an
accelerometer, an image, a sound or a body temperature sensor, only takes the attitude angle as a unique input
signal source, has the advantages of low
power consumption, light model weight, convenient deployment and suitability for edge recognition, can quickly find out an individual with abnormal behavior in the early stage of epidemic diseases, realizes intelligent early warning earlier than definite diagnosis, and has a good application prospect. The method is suitable for
epidemic disease prevention and control and fine management of various large-scale
pig farms.