MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202631061756 A) filed by Prof. Sudip Dorga; Arya Naga; Shreya Mandal; Sudip Bhowmik; and Meghnad Saha Institute Of Technology, Kolkata, West Bengal, on May 15, for 'iot-based adaptive transmission line monitoring, fault detection and hazard prevention system.'
Inventor(s) include Prof. Sudip Dorga; Arya Naga; Shreya Mandal; and Sudip Bhowmik.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The disclosure provides a real-time fault detection and resolution system for overhead low voltage transmission lines. The hardware architecture of the system comprises a current transformer module, a solid-state relay (SSR), a GSM module, a GPS module, a LoRa communication module, a buzzer, and an ESP32 microcontroller, along with other supporting components. The software architecture comprises a well-designed full-stack web application for real-time data monitoring and management, hosted on the Firebase platform. [0073] Users are required to create an account by verifying their email address through a verification link generated by the platform. Electrical parameters such as current, voltage, and GPS coordinate data are transmitted to the real-time database via cellular communication. On the hardware side, when the measured current exceeds a predefined threshold value, the transmission line is isolated by opening the circuit using the solid-state relay. If the current falls below the threshold value, an alert is generated and forwarded to the concerned authorities. [0074] The web application retrieves data from the database and visualizes real-time current-versus time characteristics for monitoring and server-side alert generation. Data collected from multiple monitoring stations can be aggregated, graphically represented, and used to trigger alarms. The live dashboard also retrieves the user's GPS location and compares it with the detected fault location. If a match is identified, the user is notified accordingly. Additionally, fault data are cached locally to enable offline alert generation during periods of network connectivity loss. [0075] The system further incorporates an interactive map-based interface that allows users to view faulty locations in real time. This feature assists users in navigation and decision-making during emergency or adverse operational conditions."
Disclaimer: Curated by HT Syndication.
