MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641123040 A) filed by Psna College Of Engineering And Technology on October 14, 2026, for Ai Sahayak Predictive Digital Twin Platform For Msme Machines.
Inventors include Mrs. M. Jothi; G. Harishma Neomie Rose; B. Dhanya; and M. Eswari.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: Al SAHAYAK - PREDICTIVE DIGITAL TWIN PLATFORM FOR MSME MACHINES A low-cost Al-based predictive digital twin platform for MSME machinery predictive maintenance is revealed. The platform consists of an ESP32-class microcontroller edge gateway that streams sensor data to a cloud server via MQTT, low- cost loT sensors (MEMS accelerometer vibration sensor, temperature sensor, and MEMS microphone sound sensor) mounted on the machine, a camera for periodic visual wear inspection, and an artificial intelligence pipeline that preprocesses the signals, extracts FFT/RMS spectral, temperature, acoustic, and visual features, detects anomalies against a learned per-machine baseline, classifies the likely fault type, and assigns severity as Low, Medium, High, or Critical.While a digital twin profile store maintains a live per-machine record of faults, repairs, replacement parts, and operating hours that refines predictions over time, a maintenance decision module estimates maintenance urgency, remaining useful life, repair time, repair cost, and production-downtime loss and generates a repair-versus-replacement recommendation. Predictive maintenance is now affordable for MSME units without specialized maintenance engineers thanks to a mobile dashboard that displays the health status and a single plain-language suggested next action, along with immediate alerts for major defects.
Disclaimer: Curated by HT Syndication.
