MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202621007828 A) filed by Abhishek Agwekar; Prof Nivedita Tiwari; Ms. Kiran Sharma; Nishi Pandey; Prof Poonam Jounjare; and Shubhangi Kailas Mahale, Bhopal, Madhya Pradesh, on Jan. 27, for 'an ai-integrated electrical and communication system for automated monitoring and control.'
Inventor(s) include Abhishek Agwekar; Prof Nivedita Tiwari; Ms. Kiran Sharma; Nishi Pandey; Prof Poonam Jounjare; and Shubhangi Kailas Mahale.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-integrated electrical and communication system designed to provide automated, intelligent monitoring and control of electrical networks across industrial, commercial, and utility environments. The system combines advanced electrical sensing units, embedded controllers, and communication technologies to continuously collect real-time data on electrical parameters such as voltage, current, power consumption, power quality, and temperature. This integrated sensing and communication framework ensures accurate, continuous visibility of electrical system performance. The invention further incorporates an artificial intelligence-based analytics engine that processes both real-time and historical electrical data to identify operational patterns, detect anomalies, and predict potential faults. By applying machine learning algorithms, the system enables predictive maintenance, early fault warning, and adaptive energy optimization. This intelligence allows the system to respond proactively to changing electrical conditions rather than relying on static threshold-based controls. AI-driven insights, the system autonomously executes optimized control actions through integrated actuation mechanisms such as relays, switches, and circuit breakers. Secure bidirectional communication enables remote monitoring, control, and data visualization through user-friendly interfaces. The proposed invention enhances energy efficiency, operational reliability, and safety while significantly reducing manual intervention, making it suitable for smart grids, industrial automation, and intelligent energy management applications."
Disclaimer: Curated by HT Syndication.
