Digital Twin, LLM & IIOT

IIOT for legacy and intelligent factory machines with AR and LLM feedback with a Digital Twin demonstration of real-time IOT for architecture/building applications using Omniverse.

  • PI: Prof. Sam Anand (Director of Smart-Manufacturing Lab, Dept. of Mechanical Engineering, CEAS)
  • co-PI:  Prof. Ming Tang (Director of XR-Lab, School of Architecture & Interior Design, DAAP)

$40,000. UC Industry 4.0/5.0 Institute Consortium Research Project: 01.2024-01.2025

Environment Sensors for Digital Twin model. XR-Lab and SM-Lab at Digital Futures Building.

Integration of Reality capture, IOT, LLM into a digital twin model.  

Primary Objective: To develop a conversational large language modeling system that acquires data from legacy machines, digital machines, environmental data, real-time data, and historical data within an IIoT environment to create a digital twin for assisting in real-time maintenance and assistance (Application Use Case: Digital Future’s Building) 

Student: Sourabh Deshpande, Anuj Gautam , Manish Raj Aryal, Mikhail Nikolaenko, Aayush Kumar, Eian Bennett