Design of Intelligent Surface Water Monitoring System

Li Ping Cheng; De Jie Huang; Jing Xing Zhu

doi:10.4028/www.scientific.net/AMM.433-435.945

Paper Titles

Review of Techniques for Driver Fatigue Detection
p.928

A Collision Detection Algorithm Based on Spatial Partitioning and Bounding Volume
p.932

Research on Collision Detection Algorithm Based on OBB
p.936

Electromagnetic Interference Testing and Suppression Methods for Automotive Window Lifter Motor
p.940

Design of Intelligent Surface Water Monitoring System
p.945

A Novel Fault Phase Identification Algorithm Based on EMD Transient Energy
p.950

Qualitative Simulation Theory and its Applications
p.954

The Fault Diagnosis for Warship's Power Plant Based on Association Rules
p.960

Study on IGMP for PLC in Intelligent Manufacturing System
p.967

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Design of Intelligent Surface Water Monitoring...

Design of Intelligent Surface Water Monitoring System

Abstract:

There are two key issues in the surface water monitoring, one is long-distance data transmission; second is the power to the monitor. The design uses Siemens TC35i module to transmit data, uses clock timing chips to control the working hours of low-power AVR microcontroller and phone modules. So the two problems are solved effectively. The PC-monitor-interface used LabVIEW software is also simple and clear, it can display real-time data; analyzes the trend of the data-curve; warn much earlier. The practical of result shows that the design is simple, good controllability, high reliability.

You might also be interested in these eBooks

Advances in Mechatronics and Control Engineering II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

945-949

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.945

Citation:

Cite this paper

Online since:

October 2013

Authors:

Li Ping Cheng, De Jie Huang*, Jing Xing Zhu

Keywords:

AVR Microcontroller, Low-Power, Real Time, TC35i

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Xing Yan-tuan, Liu Zeng-ping, Wu Xin-Qing. Hydrological dynamic real-time monitoring system for applied research [J]. Mining technology (in China), 2006, 6 (3).

Google Scholar

[2] Information on http: /www. avrvi. com.

Google Scholar

[3] Albert MK Cheng, Zhang Zhu-bin. Improving web server performance with adaptive proxy caching in soft real-time mobile applications [J]. Journal of VLSI Signal Processing, 2007, 47(2): 112-127.

DOI: 10.1007/s11265-006-0021-x

Google Scholar

[4] Fan Shang-chun. Sensor technology and its application [M]. Beijing: Beijing University of Aeronautics and Astronautics University Press(in China), (2004).

Google Scholar

[5] Information on http: /www. ni. com.

Google Scholar