A realtime flythrough demo for Digital Twin of City Cincinnati
Digital Futures Building at the University of Cincinnati
Destroy Alien buildings near the UC campus. Project developed by students Cooper Pflaum and Nishanth Chidambaram.
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.
$40,000. UC Industry 4.0/5.0 Institute Consortium Research Project: 01.2024-01.2025
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
The XR-Lab’s project showcases a cloud-based Digital Twin (DT) model, designed for accessibility and interaction via mobile devices. This advanced DT model allows multiple users to engage with its complex features directly through touch screens, eliminating the need for app installations. Clients can effortlessly access the content using a simple URL in a web browser on their personal iOS or Android mobile devices and tablets. The project is distinguished by its photorealistic renderings, which are streamed to clients at high frame rates, ensuring a visually rich and seamless experience. Furthermore, our DT model is an integration of various cutting-edge technologies, including Building Information Modeling (BIM), Metadata, IoT sensor data, 360-degree images/videos, and web3D content, creating a comprehensive and interactive digital environment.
More information on Future of Work: Understanding the interrelationships between humans and technology to improve the quality of work-life in smart buildings.
PIs: Tamara Lorenz, Ming Tang
Consortium Research Project: evaluate the effectiveness of an immersive training protocol against different traditional training modalities.
Grant. $40,000. By UC Industry 4.0/5.0 Institute 01.2023-01.2024
Open Questions
Proposal
Training scenario: DAAP Fire Evacuation
traditional training with slides and maps.
VR training with an immersive and interactive experience.
Thanks to the Institute’s Industrial Advisory Board (IAB) and industry patrons, including Siemens, Kinetic Vision, John Deere, Stress Engineering Services, Innovative Numberics, and Ethicon.
Next Phase experiments
Multi-player test
2017 Virtual DAAP Fire Evacuation project.
At UC News
New UC institute looks ahead to ‘Industry 5.0’. UC will harness collective talent across campus to help companies solve new challenges. by Michael Miller. December 8, 2022
Ming Tang worked as a co-investigator on the project funded by the NSF Grant.
Future of Work: Understanding the interrelationships between humans and technology to improve the quality of work-life in smart buildings.
Grant: #SES-2026594 PI: David W. Wendell. co-PIs: Harfmann, Anton; Fry, Michael; Rebola, Claudia; co-Is: Pravin Bhiwapurkar, Ann Black, Annulla Linders, Tamara Lorenz, Nabil Nassif, John Seibert, Ming Tang, Nicholas Williams, and Danny T.Y. Wu. 01-01-2021 -12-31-2021 National Science Foundation $149,720. Awarded Level: Federal
The primary goal of this proposed planning project is to assemble a diverse, multidisciplinary team of experts dedicated to devising a robust methodology for the collection, analysis, and correlation of existing discipline-specific studies and data. This endeavor focuses on buildings and their occupants, aiming to unearth previously undiscovered interactions. Our research will specifically delve into the intricate interrelationships between four key areas: 1) the overall performance of buildings, 2) the indoor and outdoor environmental conditions, 3) the physical health of the occupants, and 4) their satisfaction with the work environment. This comprehensive approach is designed to provide a holistic understanding of the dynamic between buildings and the well-being of the individuals within them.
Prof. Anton Harfmann developed the sensor towers.
Ming Tang spearheaded the development of a Digital Twin model, an innovative project integrating multiple historical sensor data sets into a comprehensive, interactive 3D model. This model encompasses several vital features: the capture, analysis, and visualization of historical data; cloud-based data distribution; seamless integration with Building Information Models (BIM); and an intuitive Web User Experience (UX). Building elements are extracted as metadata from the BIM model and then overlaid in screen-based and Virtual Reality (VR) interfaces, offering a multi-dimensional data view. Further details are available at the Cloud-based Digital Twin project for a more in-depth exploration of this work.
See more details on the Digital Twin workflow.
