Water Quality Monitoring Method based on Data Fusion Technology

Water Quality Monitoring Method based on Data Fusion Technology

Chunjiang Liu Changlu Qiao 

School of Economics and Management, Chang’an University China, No. 126 ring road Beilin District Xian Shaanxi 710061

 

Page: 
71-82
|
DOI: 
https://doi.org/10.18280/mmc_c.780105
Received: 
15 March 2017
|
Accepted: 
15 April 2017
|
Published: 
31 March 2017
| Citation

OPEN ACCESS

Abstract: 

In order to effectively monitor water quality, this paper proposes a data fusion method based on Dempster-Shafer evidence theory to detect pollutants in water. Our proposed water quality monitoring system is organized as a hierarchical structure, and the whole monitoring area is divided into several parts. The water quality monitoring system includes an online monitoring module and an offline monitoring module. In particular, each monitoring area has a cluster that contains several wireless sensor nodes to collect data and communicate with other sensor nodes. Furthermore, multiple water quality parameters are detected in our water quality monitoring system, such as PH, conductivity, temperature, dissolved oxygen, turbidity, etc. The final water quality monitoring decisions are made by fusing various types of water quality indexes using the Dempster-Shafer evidence theory. Finally, experimental results prove that the proposed method can detect pollutants in water with higher accuracy by effectively fusing various types of water quality indexes.

Keywords: 

water quality monitoring, wireless sensor network, data fusion, dempster-shafer evidence theory, ROC curve.

1. Introduction
2. Overview of the Water Quality Monitoring Using Wireless Sensor Network
3. Monitoring Water Quality by Multi-Sensor Fusion Based on Dempster-Shafer Evidence Theory
4. Experiment
5. Conclusion
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