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A Review On- Water Quality Measurement System Using Artificial Intelligence

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  • Bhagyashree Vaidya

Abstract

Water is vitally important to every aspect of our lives. Monitoring the quality of the drinking water is essential as polluted water can cause deadly diseases. Usually in conventional water quality measurement systems, complexometric and colorimetric titration methods were being used, which yields results slowly. In this paper different physical and chemical water quality parameters like pH, turbidity, conductivity, total dissolved solids(TDS) and dissolved oxygen etc. are measured using different sensors. The data obtained from these sensors will be sent to the PC (LabVIEW) where this data is analyzed, and the water quality indicators are compared with the reference data provided by Indian Standards Institute (ISI) and Bureau of Indian Standards(BIS) and results are displayed as per the requirement. This paper proposes the technique to combine and infer the multi-sensor data to get the water quality result, by which accurate results can be obtained. As the water quality is subjective by nature and highly indeterminate, which causes uncertainties in the data. To overcome data uncertainties problem, this paper proposes fuzzy logic model for acquiring the accurate water quality.

Suggested Citation

  • Bhagyashree Vaidya, 2018. "A Review On- Water Quality Measurement System Using Artificial Intelligence," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(6), pages 625-627, May.
    • Handle: RePEc:jbh:ijsrcs:v4:y2018:i6:id:hcseit1846116
    Note: Article URL: https://ijsrcseit.com/CSEIT1846116
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