Intellectual Property India Publishes Patent Application for 'Intelligent Edge Computing-driven Lubrication And Thermal Regulation System For High-Efficiency Mechanical Assemblies' Filed by Dr. Akash Doomra; Malkapuram Devaiah; P Ravindra Kumar; D. Vinoth Raj; Dr. Sharad S. Chaudhari; Dr. A. B. Khansole; Dr. R. H. Shinde; Dr. Ramakrishnaiah; Dr. R G Padmanabhan; and Lt. Dr. A. Joseph Arockiam

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611048274 A) filed by Dr. Akash Doomra; Malkapuram Devaiah; P Ravindra Kumar; D. Vinoth Raj; Dr. Sharad S. Chaudhari; Dr. A. B. Khansole; Dr. R. H. Shinde; Dr. Ramakrishnaiah; Dr. R G Padmanabhan; and Lt. Dr. A. Joseph Arockiam, Mohali, Punjab, on April 15, for 'intelligent edge computing-driven lubrication and thermal regulation system for high-efficiency mechanical assemblies.'

Inventor(s) include Dr. Akash Doomra; Malkapuram Devaiah; P Ravindra Kumar; D. Vinoth Raj; Dr. Sharad S. Chaudhari; Dr. A. B. Khansole; Dr. R. H. Shinde; Dr. Ramakrishnaiah; Dr. R G Padmanabhan; and Lt. Dr. A. Joseph Arockiam.

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 invention relates to an intelligent edge computing-driven system for adaptive lubrication and thermal regulation in high-efficiency mechanical assemblies. The system integrates Edge Computing and Artificial Intelligence to enable real-time monitoring and localized processing of critical parameters such as temperature, vibration, pressure, and friction. Based on continuous sensor feedback, the system dynamically regulates lubrication flow and cooling intensity to optimize mechanical performance, reduce wear, and enhance energy efficiency. It incorporates predictive analytics and anomaly detection to identify potential failures and support proactive maintenance strategies. The decentralized architecture allows independent yet coordinated operation of multiple mechanical units without reliance on centralized control. Embedded controllers ensure fast response and precise actuation of lubrication and thermal mechanisms. The system further optimizes energy usage by activating resources only when required. Overall, the invention improves reliability, operational lifespan, and efficiency of mechanical systems through intelligent, adaptive, and self-learning control mechanisms."

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