Presentations
Game engine use in the AEC industry
Marco Luzuriaga with Modec
This covers a short history of how game engines have evolved, how they are being used in AEC, and the potential for them to become a tool that AEC companies use directly to communicate internally and externally. Marco Luzuriaga with Modec, gave some examples of products developed using game engines and examples and demos of work I have done with Unity. He also talked about what industry must do to take advantage of this tool and some of the challenges they may face, as well as how ChatGPT and other generative AI will be a catalyst and enabler.
It can be found here: CII Presentation - Game Engines for AEC.mp4
How Owners and Contractors Are Using Universal Plant View (UPV) Software
Presenters:
CAXperts: Siegfried Schott & Peter Schlegel
Dow: Neil Armstrong
Bechtel: Keith Churchill, Gareth Davis, Cristian Arostica Vega
Is your company using UniversalPlantViewer (UPV) software? Do you want to know how owners and contractors are using it?
CII’s Horizon 360 team used their monthly meeting to explore this industry proven software, designed to enhance collaboration and optimize the entire plant lifecycle.
The featured presenters are from CAXperts, the company behind the software. They were joined by representatives from Dow and Bechtel, sharing their experience on how owners/operators and EPC companies are utilizing the software with some hands-on use-cases.
It can be found here: CII - How Owners and Contractors Are Using UniversalPlantViewer (UPV) Software (construction-institute.org)
Importance of Digital Transformation for Businesses
Olivier Lepinoy - Autodesk
You can also find more information in the chapter “Some Changes Are Invisible to the Eyes: Transformation of Business Models, Organizations, and Cultures”, Located in the book called “Innovation in Construction: A Practical Guide to Transforming the Construction Industry”.
It can be found here: https://link.springer.com/chapter/10.1007/978-3-030-95798-8_15
IoT-based Worker's Behavior and Productivity Measurement
Yong Cho and Kinam Kim - Georgia Tech
This research introduces an automated productivity monitoring system for individual construction workers using IoT and wearable technologies. AI-driven activity recognition is implemented to recognize individual workers' motions performing construction tasks and estimate their productivity. The monitoring system is scalable and applicable to other industries requiring a human workforce.