Digital Twin-Driven Wind Damage Risk Jit Control for Urban Trees: Methodology and Case Study

Abstract

Urban trees are essential to ecological and social well-being but are vulnerable to wind damage, posing significant risks to public safety and infrastructure. Traditional risk control methods often lack precision and fail to leverage real-time data for proactive management. To address this issue, a Digital Twin (DT)-based method for urban tree wind damage risk perception is proposed and integrated into the just in time (JIT) safety control strategy framework. The approach involves three key stages: data acquisition, intelligent interpretation, and automated aggregation. The Scene-Entity-Relation-Incident-Controller (SERIC) digital twin modeling method enhances cross-domain data sharing and model reuse. Experiments conducted at Tongji University in China show that the proposed method significantly reduces assessment time, improves precision, and automates the process. The method offers a robust solution for urban tree wind damage management, supporting faster, more accurate decision-making and facilitating stakeholder collaboration.

Keywords: urban trees, digital twin, Just in time, wind damage, risk control