A Graph-Based Approach to Minimize Redundant Spatial Computations for Automated Construction Safety Prevention through Design and Planning

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Safety planning is currently a manual and labor-intensive task. As a response, there has been active research on automated safety planning approaches. With the emergence of digital twins and the increased temporal resolution of updates on the status of a construction site, automated approaches for safety analysis will be necessary to exploit this increasing quantity of data. Nevertheless, creating a digital representation of the construction site and performing safety planning is computationally complex and intensive. It is not feasible to re-compute the safety assessment of the entire construction situation from scratch for every change that occurs. This work presents a novel approach to capture incremental localized changes happening in the construction situation, that is, when one or more elements are constructed, but the rest of the site remains unchanged. The changes are captured in a graph-based structure where the affected safety elements can efficiently and rapidly be extracted, facilitating a targeted re-computation. This work also demonstrates other benefits of the graph, such as improved decision support for construction planning.
Original languageEnglish
Title of host publicationComputing in Civil Engineering 2023: Resilience, Safety, and Sustainability : Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
PublisherAmerican Society of Civil Engineers
Publication date2024
Pages747-755
ISBN (Print)978-078448524-8
DOIs
Publication statusPublished - 2024
Event2023 ASCE International Conference on Computing in Civil Engineering - CH2M HILL Alumni Center, Corvallis, United States
Duration: 25 Jun 202328 Jun 2023

Conference

Conference2023 ASCE International Conference on Computing in Civil Engineering
LocationCH2M HILL Alumni Center
Country/TerritoryUnited States
CityCorvallis
Period25/06/202328/06/2023

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