MUMBAI, India, July 11 -- Intellectual Property India has published a patent application (202511059535 A) filed by Chandigarh University, Mohali, Punjab, on June 21, for 'self-healing iot network system with ai-driven predictive maintenance and drone-assisted repairs.'
Inventor(s) include Shubneet; Anushka Raj Yadav; Harsh Kumar; and Navjot Singh Talwandi.
The application for the patent was published on July 11, under issue no. 28/2025.
According to the abstract released by the Intellectual Property India: "This present invention describes a predictive maintenance system for monitoring and maintaining multiple machines. The system uses vibration sensors connected to the machines and remote data acquisition nodes linked via a local area network (LAN). Vibration data is collected and analyzed to predict potential machine failures before they occur. The system compares current vibration signatures to baseline data and uses artificial intelligence to assess the risk of breakdown. By detecting small changes in vibration patterns, the software can forecast maintenance needs, allowing for timely repairs and preventing catastrophic failures. This approach aims to reduce unplanned downtime and optimize maintenance schedules. The LAN-based architecture enables centralized control, data acquisition, and analysis from multiple remote nodes, providing a comprehensive solution for predictive maintenance across various machines in industrial settings."
Disclaimer: Curated by HT Syndication.
