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AbstractWater, a vital substance on earth, and all living things depend on it. This makes it very important to the quality of all life forms on earth. This project intends to focus on researching a cheaper and easy means to help make it easier for water quality sampling and monitoring to be done efficiently and with accuracy as this is a significant part of living things, we need to develop ways to monitor it efficiently. A lot of practices and processes are involved in water quality testing, and this contributes to most of the inaccuracies in test results. To prevent this and minimizing the process, other way needs to be adopted to cut down the time involved and avoid inaccuracies. With the many testing processes available and, with its challenges. Technicians may spend days collecting and running tests on samples of water collected, this causes an increase in the spatial time affecting the results. The author is focus on researching ways to better solve this problem. Getting to hard areas to collect samples of water by technicians for test in the Lab takes a lot of effort and some are impossible to access. Swamps and marsh can also present a challenge. This research work is to develop and implement a drone system which is designed with a “mini laboratory” which houses sensors needed such as PH sensor, temperature sensor, turbidity sensor, infrared camera, and dissolved oxygen concentration sensor. These sensors will make up the “mini laboratory” of the drone for analysing and monitoring the water by using the Arduino as the brain to allow inserting the test devices into the water while hovering to collect data, it can also float on the water to save battery life and transmit the test results to a mobile device accessed by the user. It will analyse the water temperature, the PH level of the water, the Oxygen concentration, turbidity and process the data collected from water test, send results to the user. This can be done by one person controlling the drone remotely while the data collected by the drone is sent via GSM network to a mobile device in the form of a SMS. The drone will also be equipped with an infrared camera which takes aerial photography in infra-red of the water surface to help identify contaminant and it saves the image on an SD card which can be retrieved by the user. There are many challenges involved in such method, of which the author has not ignored during this research work. Some of the challenges to be overcome include weather conditions, battery capacity, drone reliability, GSM signal and accuracy of test results. During the research work, all undocumented problems that may arise will be noted and recorded to help better the system in the near future. As previously stated, the idea is to reduce cost and save time involved in collecting the data and the results availability. This will allow more effective monitoring of a wider range of water resources; it will also give lab technicians the opportunity to access acute areas that are inaccessible and dangerous. All data collected by the drone is used to analyse the quality of the water and can be used to monitor water over a period of time to study the contaminant flow and effect of climate change on the water body over a period of time. This system will undergo an extensive testing procedure and usage, the time frame for the project is short hence, it will be handled according to the duration involved and every step will be noted down for future continuation, upgrade or improvement making the system much better and reliable as it may not be fully completed as the author might have plan to due to the time.
CitationLloyd-Davies, C. (2019) 'Water quality monitoring drone'. MSc By Research thesis. University of Bedfordshire.
PublisherUniversity of Bedfordshire
TypeThesis or dissertation
DescriptionA thesis submitted to the University of Bedfordshire, in partial fulfilment of the requirements for the degree of MSc By Research thesis.
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