A Kind of Remote Intellectualized System in Water Quality Analyzing

Abstract:

Article Preview

A kind of Remote Intellectualized System in Water Quality Analyzing is designed, using Menlow and Moblin as its embedded platform and operating system, respectively. The combination of mobile monitoring module and biological monitoring module gives the system a whole cover in monitoring water area. Moreover, the system is armed with such functions as obstacle detection, GPS positioning and automatic control ship ,it even not only can transport the information which are written and stored into the memory-chip to the distant computer, but also alarm when it finds data exceeds the National Standard. Scientific decision can also be made and given by this system in order to help our Environment Supervision Department take effective measures as soon as possible. The system has many advantages like high reliability, ease of installation and low cost characteristics, and even good application value.

Info:

Periodical:

Advanced Materials Research (Volumes 225-226)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1067-1070

DOI:

10.4028/www.scientific.net/AMR.225-226.1067

Citation:

X. Q. Zhao and W. Cheng, "A Kind of Remote Intellectualized System in Water Quality Analyzing", Advanced Materials Research, Vols. 225-226, pp. 1067-1070, 2011

Online since:

April 2011

Export:

Price:

$35.00

[1] Li Lei, Wu Qi-xun, Song Ping, Methods of discriminant analysis classification of hydrochemical types of salt lakes [J], Journal of Salt Lake Research, 2004, vol. 12(1) , pp.46-50.

[2] Dong Man-ling, Huang Sheng-wei, Application of BF network to evaluate water quality [J], Environmental Science and Technology, 2003, vol. 26(1) , pp.23-25.

[3] Ma Fei, Dang Zhi-liang, Hu Xiao-han, et al, Simulating to river water quality with MATLAB-Taking Qishui River as an example [J], Environmental Science and Technology, 2004, vol. 27(6) , pp.33-34.

[4] Zheng Ze-mei, Xia Bin, Zhang Jun-ling, Research and practice on integration of GIS and water quality model [J], Environmental Science and Technology, 2005, vol. 28(9) , pp.10-11.

[5] Howard B. Glasgow, JoAnn M. Burkholder, Robert E. Reed, Alan J. Lewitus, Joseph E. Kleinman, Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies, Journal of Experimental Marine Biology and Ecology, vol. 300, 2004, p.409.

DOI: 10.1016/j.jembe.2004.02.022

In order to see related information, you need to Login.