MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611020917 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Feb. 23, for 'ai-based cloud-integrated iot system and method for industrial parameter monitoring, fault prediction and automated control.'
Inventor(s) include Ojasva Tripathi; Prakhar Saxena; Dr. Nitisha Shrivastava; and Mahendra Dutt Dwivedi.
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: "The present invention discloses an AI-based cloud-integrated Internet of Things (IoT) system and method for industrial parameter monitoring, fault prediction, and automated control. The system comprises multi-sensor IoT nodes configured to acquire real-time industrial parameters including temperature, vibration, electrical, and environmental data, an edge computing unit for local preprocessing and anomaly detection, and a cloud platform for data storage and execution of machine-learning models for predictive fault analysis. A hybrid edge-cloud architecture enables early identification of abnormal operating conditions and supports adaptive model learning using historical and real-time data. An automated control module is operatively connected to industrial equipment to autonomously initiate corrective actions based on predicted fault conditions. The invention provides a scalable, low-cost, and intelligent alternative to conventional PLC- and SCADA-based systems, enabling improved industrial safety, reduced downtime, optimized energy usage, and enhanced operational efficiency across diverse industrial environments."
Disclaimer: Curated by HT Syndication.
