Intelligent system for management and optimization of residential water consumption

Master’s Thesis Summary

Abstract

The project involves the development of an intelligent system for managing and optimizing water consumption in residential settings, addressing the significant loss of this vital resource due to leaks in domestic pipelines, particularly in toilets. To mitigate the issue of silent water leaks in toilets, a mechanism based on Hall effect sensors was implemented, allowing real-time monitoring of water flow in the toilet tank, detection of irregularities, and user notification through a real-time communication network. The designed system integrates a PIC18F4550 microcontroller, YF-B10 flow sensors, and a solenoid valve, all interconnected to a cloud database and linked to a graphical interface accessible from mobile devices. To evaluate its performance, water flow tests were conducted, obtaining data on the relationship between the pulses generated by the sensor and the actual flow rate. Through machine learning models, anomalous consumption patterns were identified, establishing a reliable method for early leak detection. Preliminary results demonstrate that the system can significantly reduce water wastage by promptly alerting users to potential leaks, thereby contributing to water conservation and environmental sustainability.