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Intelligent Water Quality Monitoring System Based on Multi-Sensor Data Fusion Technology

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  • Qiuxia Liu

    (Heze University, China)

Abstract

The intelligent water quality monitoring system takes the single chip microcomputer STM32F103C8T6 as the control core to collect signals of each sensor module and converts the collected parameters into effective digital signals by using the internal analog-to-digital converter. The data gathered by the acquisition center is sent to the analysis and processing center through the ZigBee module E18. In the analysis and processing center, data is fused and processed by the single chip microcomputer STC12C5A60S2. The data after fusion is sent to the monitoring management center through the GPRS module SIM800C. For improving the monitoring precision of the system, multi-level data fusion algorithms are used. In the data layer, abnormal values are deleted by abnormal data detection method, and the median average filtering method is used to fuse the data; the algorithm based on weighted estimation fusion is used in the feature layer; the fuzzy control fusion algorithm is used in the decision.

Suggested Citation

  • Qiuxia Liu, 2021. "Intelligent Water Quality Monitoring System Based on Multi-Sensor Data Fusion Technology," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 12(4), pages 43-63, October.
    • Handle: RePEc:igg:jaci00:v:12:y:2021:i:4:p:43-63
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