Livestock health dynamic monitoring system based on multiple physiological parameters

Abstract

The invention relates to a livestock health dynamic monitoring system based on multiple physiological parameters. The monitoring system is an outside-wearing type device, health condition of livestock is calculated by adopting a BP neural network algorithm, body temperature, pulse and blood oxygen saturation are taken as input of a neutral network, and the health condition of the livestock is taken as output of the neutral network. The livestock health dynamic monitoring system comprises modules of a body temperature module, a pulse blood oxygen module, a signal conditioning module, a single-chip microcomputer, a communication module, a storage module, a power supply module, a substrate, a protection film, bundling belts and the like. Compared with the prior art, the livestock health dynamic monitoring system has the advantages that the pulse and blood oxygen saturation are detected by adopting reflection-type double wavelength, thereby being free of limitation of placement position of a sensor; by the outside-wearing type device, wound to animals by an implantable device is avoided, and the shortcoming that fault of the device cannot be timely maintained is overcome; in addition, small size, light weight and convenience in mounting and use are achieved, and interference cannot be caused to normal activities of the livestock.

Description

technical field [0001] The invention relates to the technical fields of animal husbandry and biomedicine, in particular to an externally worn dynamic monitoring system for livestock health status based on multiple physiological parameters. Background technique [0002] With the continuous expansion of the scale of animal husbandry, the traditional method of manually judging the health of livestock not only consumes a lot of manpower and financial resources, but also cannot effectively monitor the health status of livestock in real time. Therefore, inventing a device that can effectively monitor the health status of livestock in real time and provide early warning is of great significance to the healthy growth of livestock, the control of the occurrence and spread of diseases, and the improvement of economic benefits. [0003] The physiological state indicators of livestock, such as body temperature, pulse and blood oxygen saturation, are very important for judging the health...

AI Technical Summary

Problems solved by technology

[0004] In view of the shortcomings of the traditional method of manually judging whether livestock is healthy or not and the lack of data on the physiological parameter of livestock blood oxygen saturation in the prior art, the present invention proposes a livestock health status monitoring device based on multiple physiological parameters, by monitoring the livestock's body temperature , pulse, blood oxygen saturation to judge the health status of livestock

Images