MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202521015384 A) filed by Rungta International Skills University; Rungta College Of Engineering & Technology; and Rungta College Of Pharmaceutical Sciences And Research on February 22, 2025, for Integrated Predictive Maintenance And Downtime Optimization System For Industrial Environments.
Inventors include B Laxshaman Rao; Sumit Kumar; Adarsh Kumar; Amit Kumar; Shruti Shrivas; Komal Singh; Sanya Tiwari; Yash Chauhan; and Ashi Chandrakar.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: Integrated Predictive Maintenance and Downtime Optimization System for Industrial Environments This invention describes a Comprehensive Predictive Maintenance and Downtime Optimization System designed for industrial environments, integrating real-time monitoring, AI-driven predictive analytics, augmented reality (AR)- based repair guidance, and automated inventory management. The system features a sensor array for continuous equipment condition monitoring, transmitting data to a central processing unit (CPU) equipped with machine learning algorithms to predict failures, calculate Remaining Useful Life (RUL), and dynamically adjust maintenance schedules using PERT-based analysis. An AR module provides hands-free repair instructions and facilitates remote expert collaboration, while an automated inventory management module ensures timely spare parts procurement based on predictive forecasts. A data visualization dashboard consolidates real-time and historical insights to optimize workflows and support strategic decision-making. Engineered for portability and industrial-grade resilience, the system minimizes downtime, enhances resource efficiency, and improves operational productivity, offering a unified solution for modern industrial maintenance challenges.
Disclaimer: Curated by HT Syndication.
