Nonlinear Augmented Reality Enabled Smart Water Leakage Identification and Infrastructure Management of Pipeline System

Abstract

A great deal of water could be saved by implementing automatic leak detection all over the world. In developed nations, pipe induced vibrations or sounds are used in acoustic devices for detecting leaks while in developing countries it’s majorly through visible physicality on floors usually resulting to wastage of a lot of water as they are not notified until something goes wrong there. Pipe leaks due to various reasons such as worn-out, natural disasters and improper installation can be rectified with the solution that detects and locates damages within the earliest times possible. A affordable way out would be having an embedded system with flow sensors at several points along the pipeline being used as means of identifying leaking waters at minimum cost. Detected faults could be sent wirelessly to appropriate departments via cloud-based information storage. This concept also involves incorporating AR technology into our designed system since underground sewage systems are not easy to locate in most cases. The AR interface displays the underground sewage pipeline blueprint, allowing users to visualize pipe locations without technical expertise. Moreover, the system identifies leaks and potential pipeline issues within the AR environment, providing real-time insights for prompt resolution. Efficient water resource management is a key global goal due to increasing water demand. Automation in such systems reduces errors, enhances efficiency, and bridges the supply-demand gap.