MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641082598 A) filed by Muthayammal Engineering College Autonomous on July 04, 2026, for Neuro-Symbolic Industrial Iot System For Autonomous Equipment Anomaly Identification And Maintenance Planning.
Inventors include Dr. M. Harikaran; Mr. S. Gokulakannan; Mrs. G. Saranya; Hiranya S; Natarajan S; Thirunavukarasu K; S. Sathya; M. Selvanayagi; K. Haripriya; and S. Kalairarasan.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to a neuro-symbolic industrial Internet of Things system for autonomous equipment anomaly identification and maintenance planning. The system comprises a multi-sensor industrial data acquisition layer, an edge-based signal conditioning and feature extraction engine, a hybrid deep learning anomaly identification engine, a neuro-symbolic reasoning core, an equipment knowledge graph repository, a symbolic rule inference framework, an autonomous failure causation analysis module, a maintenance planning and resource optimization engine, a dynamic risk assessment framework, a self-learning model adaptation module, a maintenance recommendation interface, and an industrial dashboard and decision support platform. Industrial information acquired from interconnected equipment is processed to identify anomalies, determine probable degradation causes, estimate operational risks, and generate maintenance strategies. The integration of neural learning and symbolic reasoning provides explainable and adaptive maintenance intelligence. The invention improves equipment reliability, reduces downtime, optimizes maintenance resources, and supports autonomous decision-making in industrial environments.
Disclaimer: Curated by HT Syndication.
