Intellectual Property India Publishes Patent Application for 'A Federated Iot-To-Erp Predictive Maintenance Pipeline With Privacy-Preserving Work Order Injection Architecture' Filed by Ramachandra Handaragal

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061636 A) filed by Ramachandra Handaragal, Bengaluru, Karnataka, on May 15, for 'a federated iot-to-erp predictive maintenance pipeline with privacy-preserving work order injection architecture.'

Inventor(s) include Ramachandra Handaragal.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "A system for federated predictive maintenance (100) comprises tenant-isolated IoT edge training nodes (111) configured to train local model updates and apply differential privacy noise injection (231) within a tenant boundary (201). A federated aggregation server (112) computes a global model (122) from private updates (330) while enforcing participation thresholds. A federated model output interpreter (113) normalizes inference results into Maintenance Prediction Records (124). A tenant-aware ERP schedule translation layer (114) utilizes cryptographically isolated contexts (420) to map anonymous asset identifiers to ERP asset IDs and evaluate maintenance policy rules (422). Finally, an Oracle Maintenance Cloud injection controller (115) authenticates against tenant instances (116) to create work order records via APIs and attach federated model provenance metadata (106, 750) for audit traceability. The invention enables automated, privacy-preserving maintenance workflows across multi-tenant enterprise environments."

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