Raspberry Pi-based smart sensing platform for drinking-water quality monitoring system: a Python framework approach

This paper proposes the development of a Raspberry Pi-based hardware platform for drinking-water quality monitoring. The selection of water quality parameters was made based on guidelines of the Central Pollution and Control Board (CPCB), New Delhi, India. A graphical user interface (GUI) was develo...

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Vydáno v:Drinking water engineering and science Ročník 12; číslo 1; s. 31 - 37
Hlavní autoři: Khatri, Punit, Gupta, Karunesh Kumar, Gupta, Raj Kumar
Médium: Journal Article
Jazyk:angličtina
Vydáno: Katlenburg-Lindau Copernicus GmbH 25.06.2019
Copernicus Publications
Témata:
Analysis
Benchmarking
Data acquisition
Data analysis
Data collection
Data processing
Decision analysis
Decision making
Drinking water
End users
Environmental monitoring
Graphical user interface
Man-machine interfaces
Monitoring systems
Pollution
Pollution control
Pollution monitoring
Programming languages
Python
Quality control
Quality management
Technology application
User interface
Water
Water analysis
Water monitoring
Water pollution
Water quality
Water quality management
Water sampling
ISSN:1996-9465, 1996-9457, 1996-9465
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Shrnutí:This paper proposes the development of a Raspberry Pi-based hardware platform for drinking-water quality monitoring. The selection of water quality parameters was made based on guidelines of the Central Pollution and Control Board (CPCB), New Delhi, India. A graphical user interface (GUI) was developed for providing an interactive human machine interface to the end user for ease of operation. The Python programming language was used for GUI development, data acquisition, and data analysis. Fuzzy computing techniques were employed for decision-making to categorize the water quality in different classes like “bad”, “poor”, “satisfactory”, “good”, and “excellent”. The system has been tested for various water samples from eight different locations, and the water quality was observed as being good, satisfactory, and poor for the measured water samples. Finally, the obtained results were compared with the benchmark for authentication.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1996-9465
1996-9457
1996-9465
DOI:10.5194/dwes-12-31-2019