MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641111127 A) filed by Dr. Reji R; Dr. Ansal K A; Mr. Thomas K T; Ms. Jisha B S; Ms. Krishnapriya; Dr. Neethu Elizabeth John; Mr. Jobin Johnson; Ms. Ann Mary Mathew; Dr. Sanila S; and Mr. Sanel S on September 16, 2026, for Iot Based Smart Water Distribution Monitoring And Leakage Localization System Using Distributed Pressure And Flow Sensors.
Inventors include Dr. Reji R; Dr. Ansal K A; Mr. Thomas K T; Ms. Jisha B S; Ms. Krishnapriya; Dr. Neethu Elizabeth John; Mr. Jobin Johnson; Ms. Ann Mary Mathew; Dr. Sanila S; and Mr. Sanel S.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The invention relates to an IoT-enabled system for monitoring water distribution networks and locating leakage events. The system employs distributed pressure sensors and flow sensors positioned at selected network nodes and pipeline sections. Sensor nodes periodically acquire hydraulic measurements together with device identifiers, timestamps, and operating states. An edge communication unit aggregates, time-aligns, validates, and securely transmits the acquired measurements. A monitoring engine establishes expected hydraulic behaviour for different demand and operating conditions. Pressure gradients and flow imbalances are evaluated jointly to distinguish normal consumption from abnormal water loss. A leakage event is identified when measured behaviour deviates from an adaptive hydraulic baseline beyond defined criteria. The system estimates the probable leakage segment by comparing measurements across spatially distributed sensing locations. Temporal correlation is used to reduce false alarms caused by transient demand changes, valve operations, or pump switching. The estimated leakage location is mapped to a corresponding pipeline zone, node, or maintenance section. An alert module communicates the event severity, probable location, supporting measurements, and time of occurrence. A dashboard provides real-time visualization of network pressure, flow, sensor health, alarms, and leakage status. The system can interface with valves, pumps, or supervisory controls to support controlled isolation and maintenance. Edge processing permits rapid local detection while cloud or central processing supports historical analysis and network-wide optimization. The proposed system thereby improves water-loss visibility, leakage localization accuracy, operational responsiveness, and maintenance planning.
Disclaimer: Curated by HT Syndication.
