Building a knowledge graph for operational hazard management of utility tunnels

Abstract

The operational hazard management of the utility tunnel infrastructure is crucial for sustainable and resilient urban development. It not only involves various domain expertise such as safety, pipeline, structure, equipment, and electricity, but also requires timely and efficient access to and decision support from the relevant information of critical resources. However, current operational hazard management practices rely mainly on the experience of engineers, rendering it difficult to ensure management quality, thus increasing the risk of utility tunnel accidents. Hence, a knowledge graph-based decision support approach is proposed herein for the operational hazard management of utility tunnels, which illustrates the ontology design and information extraction from structured field inspection data and unstructured normative text files. The experimental case study demonstrates that this approach can improve the hazard management capabilities of utility tunnels by providing decision aids such as query, analysis, and control measure feedback.