MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202611021659 A) filed by Dr. Syed Arshad Ali; Dr. Arshi Husain; Dr. Reena Tripathi; Ms. Kavita Sinha; Dr. Sonam; Dr. Nidhi Saxena; Shivangi Srivastava; Anupma Singh; Krishna Kant Pandey; Dr. Anubhav Kumar Prasad; and Sanjay Kumar Singh on February 24, 2026, for Machine Learning Based Design And Manufacturing Of Municipal Solid Waste Green Coal System.
Inventors include Dr. Syed Arshad Ali; Dr. Arshi Husain; Dr. Reena Tripathi; Ms. Kavita Sinha; Dr. Sonam; Dr. Nidhi Saxena; Shivangi Srivastava; Anupma Singh; Krishna Kant Pandey; Dr. Anubhav Kumar Prasad; and Sanjay Kumar Singh.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention discloses a machine learning based design and manufacturing system for producing green coal from municipal solid waste. The system integrates waste segregation, sensor-based characterization, predictive modeling, and automated process control to optimize drying, mixing, binding, and compression parameters. A machine learning engine analyzes real-time and historical data to dynamically adjust operational variables, ensuring consistent fuel quality, improved calorific value, and reduced emissions. A feedback mechanism enables continuous model refinement. The invention provides an intelligent, scalable, and environmentally sustainable solution for converting municipal solid waste into high-efficiency green coal suitable for industrial and energy applications.
Disclaimer: Curated by HT Syndication.
