MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641090829 A) filed by Mr. Win Mathew John; Dr. Binda M B; Dr. Nitin Waghmare; Mr. Rajat Chaudhary; Dr. S. Subhash; Mr. R. Nithyananth; Preethi Santhosam P; Dr. R. Prabhavathy; Siva Prasanna E; and Prof. Dr. Harikumar Pallathadka on July 26, 2026, for Neural Network Powered Intelligent Control Mechanism For Enhancing Performance Of Smart Industrial Automation Systems.
Inventors include Mr. Win Mathew John; Dr. Binda M B; Dr. Nitin Waghmare; Mr. Rajat Chaudhary; Dr. S. Subhash; Mr. R. Nithyananth; Preethi Santhosam P; Dr. R. Prabhavathy; Siva Prasanna E; and Prof. Dr. Harikumar Pallathadka.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: The present invention discloses a neural network powered intelligent control mechanism for enhancing the performance of smart industrial automation systems through adaptive learning, predictive analytics, and autonomous process optimization. The mechanism comprises an industrial sensor acquisition module for collecting multidimensional operational data, an intelligent preprocessing engine for feature extraction and data normalization, and a neural network based predictive analytics module for generating predictive insights relating to equipment performance and process behavior. An adaptive control decision module dynamically optimizes industrial control parameters, while an intelligent anomaly detection engine identifies operational abnormalities and initiates mitigation procedures. A resource optimization module improves manufacturing efficiency through intelligent management of production schedules, maintenance operations, and energy utilization profiles. The mechanism further incorporates a continuous neural network learning framework for enhancing predictive accuracy, operational reliability, scalability, and sustainability across interconnected smart industrial automation environments.
Disclaimer: Curated by HT Syndication.
