MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202631044781 A) filed by Sanjib Kumar Rout, Bhubaneswar, Odisha, on April 8, for 'self-learning industrial iot gateway for passive device discovery and adaptive multi-protocol data virtualization.'
Inventor(s) include Kishan Kanta Barik; Sujit Pattnaik; Swastik Prasad Behera; Sradha Ram; Achirangshu Patra; and Rajat Kumar Samantaray.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "A self-learning industrial IoT gateway system is disclosed for automatic discovery, identification, and integration of devices operating within industrial Ethernet networks. The gateway employs a passive network monitoring module that captures communication frames from the industrial network without transmitting active probe packets, thereby enabling non-intrusive device discovery in safety-critical environments. A vendor identification module performs IEEE OUI database lookups on observed MAC addresses to determine device manufacturers, while a protocol detection engine analyzes payload signatures, port identifiers, and communication patterns to identify industrial protocols including Modbus TCP, EtherNet/IP, Siemens S7, PROFINET, and Mitsubishi MC Protocol. A device classification engine combines vendor and protocol evidence to assign functional device categories, and a learning database stores confirmed classifications to enable progressive improvement of recognition accuracy over time. Following device classification, a PLC communication module autonomously establishes appropriate protocol sessions and retrieves operational register data without requiring manual configuration. A data virtualization module converts raw register values into calibrated engineering unit representations organized within an internal process data model. An OPC UA server module exposes the process data model through a dynamically updated OPC UA address space, while an MQTT communication module publishes variable updates through hierarchical topic structures with adaptive Quality of Service management governed by a network monitoring module that continuously evaluates link quality and adjusts communication parameters accordingly. A synchronization controller coordinates internal data flow and prevents circular update feedback loops. The disclosed system reduces deployment complexity, eliminates manual device configuration requirements, and improves interoperability across heterogeneous multi-vendor industrial automation environments."
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