Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)

Research and Design of Intelligent Network Switch Based on Human Infrared and Light Intensity Sensor

Authors
Yiqin Bao
Corresponding Author
Yiqin Bao
Available Online April 2018.
DOI
10.2991/cmsa-18.2018.75How to use a DOI?
Keywords
CC2530; human infrared sensor; light sensor Introduction
Abstract

An intelligent network switch based on human infrared and light intensity sensors is designed by using human infrared sensor and light intensity sensor to realize the intelligent control of the home lamps. Switches will control the lights when there's only a man in the room and the light is dark, so as to achieve the goal of intelligent energy saving, and realize real-time data transmission under the condition of wireless networking. The switch takes the CC2530 RF chip as the core. The hardware and software of the node and sensor interface are designed in the ZigBee wireless sensor network. The whole system has advantages of good performance and high precision, and can meet the intelligent requirements of home lamps.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
April 2018
ISBN
978-94-6252-523-8
ISSN
1951-6851
DOI
10.2991/cmsa-18.2018.75How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Yiqin Bao
PY  - 2018/04
DA  - 2018/04
TI  - Research and Design of Intelligent Network Switch Based on Human Infrared and Light Intensity Sensor
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 328
EP  - 331
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.75
DO  - 10.2991/cmsa-18.2018.75
ID  - Bao2018/04
ER  -