Abstract. 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.
Assessment of drinking water quality has been an important issue nowadays as the water available is severely polluted and can be the cause of diseases like cholera, diarrhea, dysentery, etc. The traditional methods for water quality monitoring require a high-labor-cost and tine consumption as these methods include a sample collection followed by lab-based chemical testing. In addition, the chemicals used in the testing are toxic and of high-cost. So, there is a need for real-time monitoring and chemical-free testing of water quality parameters. This paper presents a real-time water quality monitoring system based on the Raspberry Pi 3 development board and a Python framework. The water quality parameters utilized for water quality monitoring are temperature, pH, oxidation reduction potential, electrical conductivity, and dissolved oxygen and E. coli. The water quality sensors were interfaced with the designed embedded platform. Finally, the acquired parameters were compared with the benchmark equipment for validation.
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