Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering

High Speed and Intelligent Environment Monitoring System

Authors
Xiaohui Wang, Lei Tian
Corresponding Author
Xiaohui Wang
Available Online July 2016.
DOI
10.2991/icsnce-16.2016.22How to use a DOI?
Keywords
MCU; Particulate matter; Carbon dioxide; Sensor Photo detector; Remote monitor; Wireless transmission
Abstract

In order to monitor the environmental parameter in our daily life combines the micro controller unit (MCU) and the intelligent sensor together and establishes the monitoring scheme of the particulate matter 2.5 (PM2.5) and carbon dioxide (CO2). Based on the solar power energy, using the STC89C52 as the MCU, the PM2.5 sensor detects the concentration of the matter. The CO2 sensor detects the concentration of the carbon dioxide and through the analogue to digital convertor (ADC) converts the collected data and displays it on the LCD. At the same time, the MCU controls the wireless transmission unit to send the data to the mobile phone. Through the monitoring system, the main control platform could monitor the remote detection area. The test result shows the proposed scheme achieves better performance.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
10.2991/icsnce-16.2016.22
ISSN
2352-5401
DOI
10.2991/icsnce-16.2016.22How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xiaohui Wang
AU  - Lei Tian
PY  - 2016/07
DA  - 2016/07
TI  - High Speed and Intelligent Environment Monitoring System
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 114
EP  - 118
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.22
DO  - 10.2991/icsnce-16.2016.22
ID  - Wang2016/07
ER  -