A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Leveraging Large Language Models and Augmented Reality to Enhance the Understanding of Geotechnical Report
In geo-engineering, it is crucial to understand the large and complex datasets for project success. Traditional textual and 2D visualizations methods are no longer adequate for complex geotechnical data. Our proposed system uses Large Language Models (LLMs) for extracting information and Augmented Reality (AR) for advanced visualization, making geotechnical data analysis and comprehension more intuitive. Utilizing LLM, the system can process the geo-engineering reports to identify and organize important information. The extracted information is then represented through AR in an interactive 3D format, achieving a more intuitive user experience. This paper explains our approach from methodology to practical evaluation, demonstrating the adaptability of LLM to various report structures and the AR integration for accessible visualization. Preliminary evaluations have been conducted on the performance of the system, which has positive outcomes on diverse reports. It indicates the capability of our proposed system to handle and present geotechnical data effectively. By combining LLMs and AR, we aim to provide a tool that can enhance decision-making and offer a better understanding of geo-engineering information, which is fundamental for the safety and efficiency of engineering projects.
Leveraging Large Language Models and Augmented Reality to Enhance the Understanding of Geotechnical Report
In geo-engineering, it is crucial to understand the large and complex datasets for project success. Traditional textual and 2D visualizations methods are no longer adequate for complex geotechnical data. Our proposed system uses Large Language Models (LLMs) for extracting information and Augmented Reality (AR) for advanced visualization, making geotechnical data analysis and comprehension more intuitive. Utilizing LLM, the system can process the geo-engineering reports to identify and organize important information. The extracted information is then represented through AR in an interactive 3D format, achieving a more intuitive user experience. This paper explains our approach from methodology to practical evaluation, demonstrating the adaptability of LLM to various report structures and the AR integration for accessible visualization. Preliminary evaluations have been conducted on the performance of the system, which has positive outcomes on diverse reports. It indicates the capability of our proposed system to handle and present geotechnical data effectively. By combining LLMs and AR, we aim to provide a tool that can enhance decision-making and offer a better understanding of geo-engineering information, which is fundamental for the safety and efficiency of engineering projects.
Leveraging Large Language Models and Augmented Reality to Enhance the Understanding of Geotechnical Report
Springer Ser.Geomech.,Geoengineer.
Gutierrez, Marte (editor) / Liu, Ziming (author) / Shi, Yangming (author)
International Conference on Inforatmion Technology in Geo-Engineering ; 2024 ; Golden, CO, USA
2024-11-03
9 pages
Article/Chapter (Book)
Electronic Resource
English