Supervisory system for disease prevention of pigs

Abstract

The invention provides a supervisory system for disease prevention of pigs. The supervisory system collects body surface temperature and motion information of the pigs in real time through a data collection system, transmits the body surface temperature and the motion information to a server module through a communication base station, performs intelligent analysis in the server module, judges temperature and behaviors, and sends results to a WEB service module or an APP of a mobile phone. Therefore, a set of biological clock model is established for each pig, a health state or a disease stateof the pigs is obtained in real time, and a forecasting system for automatic body temperature and activity detection is formed; when a certain pig is abnormal, warning information is actively sent tobreeding personnel, so that the labor cost is saved for a breeding farm; and meanwhile, vital signs of the pig can be monitored around the clock, so that real-time monitoring of the pig is achieved,the breeding risk of the farm is reduced, early discovery, early prevention and early treatment of diseases are achieved, the death rate is reduced, and economic losses are avoided.

Description

technical field [0001] The invention relates to the field of animal husbandry, in particular to a monitoring system for disease prevention of pigs. Background technique [0002] At present, health monitoring is a very important link in the pig breeding industry. Temperature and behavioral characteristics are two important physiological indicators. Abnormal temperature and abnormal behavior are important symptoms of pig physiological disorders. In many diseases, especially in infectious diseases In pigs, abnormal behavior and body temperature often appear earlier than other symptoms, such as: irritability or long-term prone position, and mental depression. [0003] In terms of behavioral characteristics, the behavioral characteristics of pigs are manually observed. When pigs are sick, they are inactive and eating poorly, so the position of pigs will not change so obviously. When pigs are sick, they are prone to energy. Insufficiency, decreased appetite, drowsiness, drowsines...

AI Technical Summary

Problems solved by technology

If the traditional manual observation, detection and analysis method is still used, it is impossible to perform statistical analysis efficiently and in large quantities; secondly, relying on artificial naked eyes to observe the living habits of pigs, there are errors, and it is impossible to observe and compare a large number of pigs at the same time, and it is also impossible to analyze each pig. The health status of a pig is effectively assessed, and potential pigs with signs of disease cannot be found in time, which is not conducive to effective follow-up treatment to avoid large-scale swine fever

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