Following extreme events, efficient restoration of infrastructure systems is critical to sustaining community lifelines. During the process, effective monitoring and control of the infrastructure restoration progress is critical. This research proposes a systematic approach that automatically integrates component-level restoration status to achieve real-time forecasting of overall infrastructure restoration progress. In this research, the approach is mainly designed for transportation infrastructure restoration following Hurricane Harvey. In detail, the component-level restoration status is linked to the restoration progress forecasting through network modeling and earned value method. Once the new component restoration status is collected, the information is automatically integrated to update the overall restoration progress forecasting. Academically, an approach is proposed to automatically transform the component-level restoration information to overall restoration progress. In practice, the approach expects to ease the communication and coordination efforts between emergency managers, thereby facilitating timely identification and resolution of issues for rapid infrastructure restoration.
翻译:在发生极端事件后,有效恢复基础设施系统对维持社区生命线至关重要;在这一过程中,有效监测和控制基础设施恢复进展至关重要;这项研究提出一个系统办法,自动整合基础设施恢复阶段的组成部分,以实现对基础设施全面恢复进展的实时预测;在这项研究中,主要设计在哈维飓风后恢复运输基础设施;详细而言,基础设施恢复阶段与通过网络建模和赚取价值方法进行的恢复进展预测有关;在收集新组成部分恢复状态后,信息自动整合,以更新全面恢复进展预测;学术上,提议采取一个办法,将恢复阶段的组成部分信息自动转换为全面恢复进展;在实践中,该办法期望简化应急管理人员之间的沟通和协调努力,从而便利及时查明和解决迅速恢复基础设施的问题。