Design of Intelligent Monitoring and Controlling System for Deer Based on Internet of Things

DOI

10.2991/icmcm-16.2016.26How to use a DOI?

Keywords

IOT; standardized breeding; deer; ZigBee.

Abstract

There exist issues of fast environmental degradation, poor intelligence, and low management efficiency with the expansion of breeding deer scale. This paper presents the intelligent monitoring and controlling system for deer based on internet of things (IOT). This system includes multiple wireless sensor network nodes, ZigBee routing nodes, ZigBee Ethernet gateway, server, client and video monitoring devices. Wireless sensor network nodes connects ZigBee Ethernet gateway via ZigBee routing nodes. ZigBee Ethernet gateway access client server to transmit data. Video monitoring device includes video cameras, exchangers, hard disk video recorders and display device. The cameras send the environment information to hard disk video recorder via the exchangers, and the environment parameters can be shown in the screen. Wireless sensor network includes electronic rings, RF read-write monitoring nodes, water and eating monitoring nodes, spray monitoring and controlling nodes, and sunlight monitoring nodes. This system can meet the needs of the deer growth environment, save resources and labor, reduce disease incidence, improve the quality of deer antler and rate of survival, which has important guiding significance to large scale production of deer in the future.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shi-Jun Li
AU  - Ji Li
AU  - He Gong
AU  - Jian Li
AU  - Hong-Jun Gu
PY  - 2016/12
DA  - 2016/12
TI  - Design of Intelligent Monitoring and Controlling System for Deer Based on Internet of Things
BT  - Proceedings of the 2016 7th International Conference on Mechatronics, Control and Materials (ICMCM 2016)
PB  - Atlantis Press
SP  - 127
EP  - 130
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmcm-16.2016.26
DO  - 10.2991/icmcm-16.2016.26
ID  - Li2016/12
ER  -