MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202611086852 A) filed by Suresh Gyan Vihar University on July 16, 2026, for A Machine Learning Apparatus For Industrial Process Parameter Optimization And Adaptive Control.
Inventors include Dr. Sohit Agarwal; and Dr. Arastu Sharma.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: A machine learning apparatus for industrial process parameter optimization and adaptive control is disclosed. The apparatus receives live plant data, conditions the data, generates process features, predicts outcome behavior, and determines parameter adjustments for improved operation. Candidate adjustments are screened against equipment limits, recipe restrictions, safety boundaries, and actuator capabilities before controller communication. The apparatus supports operator supervision, gradual command execution, response monitoring, fallback control, and traceable logging. The invention improves process consistency, resource utilization, and adaptive decision support in industrial automation environments.
Disclaimer: Curated by HT Syndication.
