Development of IoT-based smart water quality monitoring system for bore water source

Mohammad Denis, Mohammad Daniel Hakimi (2022) Development of IoT-based smart water quality monitoring system for bore water source. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Water shortage and degradation is a growing concern as it is necessary for all human survival. Without water, people can only survive for a few days to a few months before serious health problems and even death. Due to the ongoing water crisis, such as in Kelantan, many households rely on bore water as an alternative water supply. Bore water is groundwater that has been accessed by drilling a bore into underground aquifers and pumping to the surface. Aquifers may contain chemicals and micro-organisms that are potentially harmful. Some of these chemicals are naturally occurring while others are a result of contamination. Therefore, it is well known that the water is not always drinkable as contaminated water can cause sickness such as gastroenteritis and diarrhea. The objective is to create a smart water monitoring system to monitor water quality and compare it to WHO standards, and to assess the accuracy and consistency of the device and its feedback to the user. In this project, IoT is used to monitor and analyze water data. The pH level and turbidity of water are measured to check its quality. The ideal pH value is between 6.5 and 8.5 and turbidity should be below 5 NTU (ideally below 1 NTU) according to World Health Organization (WHO). The data is processed by an Arduino and can be monitored online via Wi-Fi. 5 water samples were tested and their pH and turbidity values were measured. The conclusion is that sample 3 is safe for domestic use as its pH and turbidity values fall within the safe range compared to the other samples. The system is reliable as the pH values from water samples were similar to those from a pH meter. Other than that, the system gives consumers the option to customise the monitoring intervals to their liking and at the same time able to detect the water quality and make their own assessments of the water quality with the aid of the graph. The project is a success as all the objectives are achieved and could be improve by adding the number of sensors to assist in measuring water quality.

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