System and method for wirelessly monitoring water drinking behavior of sows raised in group based on machine vision technology

Abstract

The invention discloses a system and a method for wirelessly monitoring the water drinking behavior of sows raised in a group based on a machine vision technology. The system comprises a plurality of pieces of water drinking place equipment, gateway nodes and a central server, wherein each water drinking place equipment is arranged at a water drinking place in each sow house to be monitored, used for sensing approaching of the sows and triggering each processor to record water drinking time and flow, and wirelessly connected with the central server through the gateway nodes by using a network. The water drinking behavior is an important basis for judging whether the sows are healthy. The system can accurately monitor the daily water drinking frequency of the sows and the daily total consumption of water resources by using an automatic technology, and can automatically send the serial number of a sow individual which abnormally consumes water to a feeder, so that the sow can be timely concerned, the growth and reproduction of the sows are slightly influenced by diseases, and the economic benefit of sow raising is effectively improved.

Description

technical field [0001] The invention relates to the field of sow welfare breeding, wireless network communication technology and machine vision technology, especially a system for monitoring the drinking behavior of sows raised in groups through machine vision technology and ZigBee wireless network communication technology, specifically a machine-based Wireless monitoring system and monitoring method for drinking water behavior of group-raised sows based on vision technology. [0002] Background technique [0003] Machine vision technology is an interdisciplinary subject involving artificial intelligence, neurobiology, psychophysics, computer science, image processing, pattern recognition and many other fields. Machine vision mainly uses computers to simulate human visual functions, extracts information from images of objective things, processes and understands them, and finally uses them in actual detection, measurement and control. The biggest feature of machine vision ...

AI Technical Summary

Problems solved by technology

my country's current sow breeding mainly adopts restricted feeding stalls. This feeding method severely limits the space for sows to move freely and does not meet animal welfare requirements. The European Union has decided to ban the use of restricted feeding stalls in 2013. It is necessary to design an intelligent and precise monitoring system for the drinking behavior of sows in this ...

Images