An On-Line Water Quality Monitoring System for the Reservoirs Based on Android

Abstract:

According to the demand of water quality automatic monitoring in many large or medium reservoirs, we proposed an on-line water quality monitoring system. It is composed of wireless sensor networks and an embedded monitoring platform. We built a novel early-warning model to well adapt to the regular pattern of water quality change in the reservoirs. As a result, an Android application with outstanding control experience is achieved for real-time monitoring, water pollution early warning and water quality comprehensive assessment. Experimental results show that the system can work stably for a long time and provide accurate monitoring information continuously. It can also detect the abnormal signals of water quality in time and alarm. The system efficiently satisfies the requirement of water quality on-line automatic monitoring.

• Periodical: Advanced Materials Research (Volumes 945-949)
• Pages: 2199-2202
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.945-949.2199
• Online since: June 2014
• Authors: Zi Wen Dai*, Hai Yang Liao
• Keywords: Early Warning Model, Embedded System, Fuzzy Synthetic Method, Pollution Index Method, Water Quality Monitoring, Wireless Sensor Network (WSN)

References

[1] Storey, M.V., B. van der Gaag and B.P. Burns, Advances in on-line drinking water quality monitoring and early warning systems. Water Research, 2011. 45(2): pp.741-747.

DOI: 10.1016/j.watres.2010.08.049

[2] Shi, Y., Overview of the Status of Embedded Technology. Electronics R & D, 2012. 05: pp.162-164.

[3] Othman, M.F. and K. Shazali, Wireless Sensor Network Applications: A Study in Environment Monitoring System. Procedia Engineering, 2012. 41: pp.1204-1210.

DOI: 10.1016/j.proeng.2012.07.302

[4] Liao, H.Y., et al., An On-line multiparametric water quality monitoring system based on visible spectrophotometry, in Advanced Materials Research. 2011. pp.2801-2804.

DOI: 10.4028/www.scientific.net/amr.189-193.2801

[5] Yi, H. and Z. Xu, comparative study on typical river comprehensive water quality assessment methods. Resources and Environment in the Yangtze Basin, 2008(05): pp.729-733.

[6] Xue, Q. and J. Liu, methods and analyses of water pollution comprehensive index assessment. Environmental Engineering, 2004. 01: pp.64-66.

[7] Jin, J., Y. Wei and J. Ding, Fuzzy comprehensive evaluation model based on improved analytic hierarchy process. Journal of Hydraulic Engineering, 2004(03): pp.65-70.