A
system for AI-supported
leak detection and localization in water distribution infrastructures, consisting of: a large number of distributed sensor nodes mounted along a
water pipe, each
sensor node comprising the following: a
pressure sensor configured to measure local
hydraulic pressure fluctuations within the pipeline with a resolution of at least 0.01 bar; a flow sensor configured to measure the volume flow within the pipeline with an accuracy of at least ±0.5% of the measured value; an
acoustic sensor configured to detect vibration signatures caused by leaks in a frequency range between 50 Hz and 20 kHz; an embedded
microcontroller with integrated analog-to-
digital conversion circuitry for digitizing sensor outputs; a
wireless communication module configured to transmit time-synchronized sensor data to a cloud-based
processing platform; and a local energy subsystem with a rechargeable battery and an optional circuit for generating photovoltaic energy; the cloud-based
processing platform includes an
artificial intelligence engine that comprises the following: a
data acquisition module configured to receive and decode the transmitted sensor data and to perform
time alignment; a
supervised learning module that is trained on historical data of flagged leaks and non-leaks to classify incoming sensor patterns; an
unsupervised learning module configured to detect anomalies by modeling normal operating baselines of the pipeline; and a topology-aware localization module configured to determine leak coordinates using the topology of the pipeline network, modeling the propagation of hydraulic
waves, and estimating the
arrival time difference from multi-node acoustic detections; and wherein the
system is configured to provide real-time leak alerts and georeferenced
visualization via a remote monitoring interface.