MUMBAI, India, Sept. 7 -- Intellectual Property India has published a patent application (202641104345 A) filed by S. Gayathri; Arockia Panimalar S; Dr N Kohila; T. Kanagasabapathy; M. Vignesh; Dr. Vijay Anand; S. Senthil Prabhu; Murali. D; Dr. G. Tarakrishnamanohar; and Mohd Junedul Haque on August 31, 2026, for Ai-Driven Cognitive Digital Twin Framework For Intelligent Monitoring, Predictive Control And Chemical Process Analytics In Smart Industrial Systems.
Inventors include S. Gayathri; Arockia Panimalar S; Dr N Kohila; T. Kanagasabapathy; M. Vignesh; Dr. Vijay Anand; S. Senthil Prabhu; Murali. D; Dr. G. Tarakrishnamanohar; and Mohd Junedul Haque.
The application for the patent was published on September 04, 2026, under issue no. 36/2026.
Abstract: [06] An AI-driven Cognitive Digital Twin framework is disclosed for intelligent monitoring, predictive control and chemical-process analytics in smart industrial systems. The framework uses seven cooperating layers for physical assets, industrial connectivity, contextual data management, hybrid process modelling, cognitive intelligence, prediction and control, and human/enterprise interaction. A hybrid physics-data twin estimates present and future process states, while a process knowledge graph and causal-reasoning engine convert anomalies into contextual root-cause explanations, predicted consequences and confidence-ranked actions. Explainability and uncertainty assessment support operator validation. A decision safety gate screens candidate supervisory actions against quality, process stability, equipment limits and validated operating envelopes and invokes advisory or fallback control when required. Event-triggered model adaptation, OPC UA/MQTT connectivity, edge inference and staged deployment permit integration with existing PLC/DCS infrastructure while maintaining separation from independent process-safety protection layers
Disclaimer: Curated by HT Syndication.
