Abstract
It is essential for water providers and the urban water supply industries have to understand how water is used in residential settings. The project Artificial Intelligence Based Smart Water Management System discusses the innovative Information and Communications Technology (ICT) approaches to practice the tapped water-saving habit in house. At the domestic level, this is attained by the expansion of a decision provision method to provide good awareness among the family members about their daily water consumption in a significant way and do assessment and promote water consumption reduction. The proposed AI system will control and monitor the flow of water from overhead tank to various utility areas like Kitchen, Bathroom, and Dress Wash and also for Garden in House. The water distribution is controlled by Smart Water Distributor which distributes the water at different locations of the house based on its need. Using Deep Belief Network technique of AI, the threshold level of each location is compared with the current flow level of the sensor. These flow control sensors will update the flow periodically to the intelligent monitor system. The intelligent monitor system will analyze the sensor data with the current water limit of each distribution as well as the data from the water level sensor of the underground tank. Similarly, the high-rate pressure sensor will periodically update the pressure over the pipe. Based on the variation ratio of water availability Vs Demand ratio and reduction in pressure level, the Intelligent Monitoring system will alarm the house holders about the shortage and leakage of water. By the way the proposed system will regulate the usage of water and avoids the wastage of water through leakage. This will also help the society and the government bodies to resolve the problem of water demand.
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