ABSTRACT

Water supply scarcity has become a serious problem for many countries and cities, especially in the last few years when there has been less rain in many areas. Therefore, managing, monitoring, and distributing the water supply and consumption of the people has become an urgent task for many local and national governments. Monitoring how the water is used by the population in different regions helps a lot in the more efficient management of the water supply, thus helping in solving the water scarcity problem. There are some systems that are used for monitoring and managing the intermittent water supply in cities; however, they lack some needed functionalities, such as smart responses to problems that happen in the supply system, imbalances in water distribution, and control over how the population is using the water. In this research, efficient solution to the problem is proposed that is efficient, fair, and robust based on resources and consumption. The proposed system includes continuous water level monitoring of wells and storage reservoirs in the city, continuous monitoring of the daily water consumption needs of each household in each neighborhood based on a group of criteria such as the number of residents, the predicted area of green space based on machine learning (ML) techniques, and the temperature of the air. This is followed by a fair amount of water being automatically distributed at regular periods to each consumer based on the estimated total amount of water. This is done through smart water meters, remote actuation of valves, and remote water pumps based on Internet of Things (IoT) devices, which are all under the supervision of a web-based system. The system was developed and installed in the city of Soran in the Kurdistan region of Iraq. The system performed very well and proved to be a very good tool for the local government. According to the results, the proposed smart water meter system can save 24.59% on water consumption. The system is recommended to the authorities as a very good solution to the water supply problem.