Transforming decision making for rockfall hazard assessment

其目的是改变传统的崩塌危险预测和缓解方法。澳大利亚目前对崩塌带来的风险的管理成本很高，而且是次优的；预测的环境变化可能会加剧这些危险。落石力学、遥感和数据驱动建模将与先进的视觉技术相结合，提供一种新颖、快速和可靠的基于增强现实的落石危险评估工具。预计结果将简化预测、评估和缓解-支持从业者和政府主动评估触发条件、评估风险并应用强大的解决方案来提高安全性，从而节省大量经济成本。

The aim is to transform conventional approaches to rockfall hazard prediction and mitigation. The management of risks posed by rockfall in Australia currently comes at significant cost and is suboptimal; predicted environmental changes are likely to worsen these hazards. Rockfall mechanics, remote sensing, and data-driven modelling will be combined with advanced visual technologies to deliver a novel, rapid, and reliable augmented reality based rockfall hazard assessment tool. The outcomes are expected to streamline prediction, assessment, and mitigation – supporting practitioners and governments to proactively assess triggering conditions, evaluate risk, and apply robust solutions to improve safety, with substantial economic savings.