Dynamic hazard analysis on construction sites using knowledge graphs integrated with real-time information

Construction, as a significant production activity, is inherently prone to accidents. These accidents often result from a chain of multiple hazards. However, existing methods of hazard analysis are limited to single-dimensional network modeling and static analysis, which makes them inadequate for addressing the complexity and variability of construction sites. This paper presents a dynamic construction hazard analysis method that integrates real-time information into knowledge graphs. In this approach, label entities are added to general knowledge graphs, linking hazard entities to their labels. Labels identified through vision-based methods are then incorporated into the graphs, allowing for the effective extraction and updating of subgraphs in response to spatiotemporal changes in the scenario. Additionally, graph analysis metrics have been proposed to evaluate the system from multiple levels. Finally, the method was applied to a bridge foundation construction case, demonstrating its practicality and significance in preventing accidents by enabling dynamic hazard analysis.