MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541123819 A) filed by Nandha Engineering College, Erode, Tamil Nadu, on Dec. 9, 2025, for 'iot based water pipeline blockage detection and alert system using flow sensors for real time anomaly detection.'
Inventor(s) include T. Lndhumathi; I. Gobika; A. Kanishgaa; and M. Narmatha.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an Internet of Things (loT)-based water pipeline blockage detection and alarm system that is intended to track water flow in real time and spot early indicators of partial or total blockages. The system includes one or more flow rate sensors deployed plong the pipeline to create pulse signals proportional to the flow rate. A microprocessor processes hese data, transforming them into calibrated flow values and continuously comparing them to predetermined thresholds to identify anomalous changes in waterflow. ... The invention includes wireless communication modules to enable seamless transfer of eat-time data and obstruction alerts to remote cloud servers or user interfaces. A dual-alert method s used, wherein a local indicator such as an LED gives instant onsite warning, while remote alerts are ~ent over loT connectivity for fast response. Additionally, the technology facilitates continuous data ogging, which makes it possible to examine past flow records for patterns, early alerts, and slow "'orming blocks that might not be immediately noticeable. This invention provides a low-cost, scalable, and non-invasive way to increase the ~ependability and security of water distribution systems in residential, commercial, agricultural, and ~municipal settings. The solution improves preventive maintenance, lowers water loss, and offers an Effective, automated way to manage pipeline health by fusing sensor technologies, embedded processing, loT connection, and cloud-based analytics."
Disclaimer: Curated by HT Syndication.
