التفاصيل البيبلوغرافية
العنوان: |
Distributed real-time monitoring system for atmospheric particles. |
المؤلفون: |
Liqun Bao, Haibin Wang |
المصدر: |
IET Wireless Sensor Systems (Wiley-Blackwell); 2017, Vol. 7 Issue 4, p91-97, 7p |
مصطلحات موضوعية: |
ENVIRONMENTAL monitoring, REAL-time computing, WIRELESS sensor networks, DATA acquisition systems, EMBEDDED computer systems |
مستخلص: |
Haze occurs frequently in many cities, and becomes the authors' great common concern. A distributed real-time monitoring system for atmospheric particles has been designed, implemented and tested. The proposed system consists of a front-end data wireless acquisition network, an embedded web server system, a central server and remote monitoring terminals. The front-end data-acquisition network is made up of mobile data-acquisition nodes distributed in atmospheric particle monitoring areas which collect atmospheric particle data periodically. The data is transmitted by Jennet wireless network and sent to the Internet through the embedded web servers attached to the coordinator nodes via the serial ports. Only a common Internet browser is required for a remote user to check the atmospheric particle data. The central server is responsible for storing the pollution data for further usage of pollution analysis, evaluation and early warning. In this study, the PM1.0, PM2.5 and PM10 particle data were successfully collected, transmitted and checked by the monitoring system in Lanzhou, China. The results show that the designed system can meet the needs of functional requirements of atmospheric particle monitoring. [ABSTRACT FROM AUTHOR] |
|
Copyright of IET Wireless Sensor Systems (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
قاعدة البيانات: |
Complementary Index |