MUMBAI, India, Nov. 13 -- Intellectual Property India has published a patent application (202641129523 A) filed by Kalasalingam Academy Of Research And Education on October 30, 2026, for System And Method For Confidence-Guided Adaptive Edge-Ai Based Multi-Sensor Iot Monitoring And Predictive Maintenance Of Industrial Equipment.
Inventors include Hanmugeshwariu; Dr. S. Hemaswathi; and Peria Samy M.
The application for the patent was published on November 13, 2026, under issue no. 46/2026.
Abstract: Title: SYSTEM AND METHOD FOR CONFIDENCE-GUIDED ADAPTIVE EDGE-Al BASED MULTI-SENSOR IOT MONITORING AND PREDICTIVE MAINTENANCE OF 5 INDUSTRIAL EQUIPMENT The titled invention discloses a confidence-guided adaptive Edge-Al and loT monitoring system for predictive maintenance of industrial equipment. The system comprises a multimodal physical sensing subsystem including a Vibration Sensor (2), Temperature Sensor 10 (3), Current Sensor (4) and optionally an Acoustic Sensor (5), an Embedded Controller (1), an on-device machine-learning inference engine, an adaptive sensing and resource controller, Non-Volatile Memory (6), a Wireless Module (7) and a remote monitoring platform. The Embedded Controller (1) preprocesses sensor signals, extracts feature representations and performs machine-learning inference to determine equipment 15 condition with a confidence or uncertainty measure. Based on the confidence or uncertainty, the adaptive controller selectively changes sensing configuration, sampling, processing depth and telemetry to acquire additional diagnostic information when required. Diagnostic events are stored locally in the Non-Volatile Memory (6) during communication failure and synchronized after connectivity restoration, thereby providing 20 a closed-loop architecture between machine condition, inference confidence, sensing, edge processing and resource operation.
Disclaimer: Curated by HT Syndication.
