基于数字孪生的灾害管理系统方案：DT-DMS
Digital Twin Based Disaster Management System Proposal: DT-DMS
摘要：
随着城市化程度的提高，自然灾害的破坏和影响正变得更具破坏性。今天的大都市没有为灾前和灾后局势做好充分准备。数字孪生技术可以提供一种解决方案。物理城市的虚拟副本可以通过从物联网（IoT）设备的传感器收集数据并存储在云基础设施上来创建。此虚拟副本将保持最新状态，并与来自传感器的连续数据流保持同步。我们提出了一个灾难管理系统，利用机器学习称为DT-DMS是用来支持决策机制。本研究旨在展示如何通过虚拟副本模拟潜在的灾难情况来教育和准备急救中心的工作人员。将模拟灾难事件，允许急救中心工作人员做出决策，并描述这些决策的潜在结果。模拟地震后的救援行动。测试结果是有希望的，并计划扩大模拟范围。
英文摘要：
The damage and the impact of natural disasters are becoming more destructive with the increase of urbanization. Today's metropolitan cities are not sufficiently prepared for the pre and post-disaster situations. Digital Twin technology can provide a solution. A virtual copy of the physical city could be created by collecting data from sensors of the Internet of Things (IoT) devices and stored on the cloud infrastructure. This virtual copy is kept current and up to date with the continuous flow of the data coming from the sensors. We propose a disaster management system utilizing machine learning called DT-DMS is used to support decision-making mechanisms. This study aims to show how to educate and prepare emergency center staff by simulating potential disaster situations on the virtual copy. The event of a disaster will be simulated allowing emergency center staff to make decisions and depicting the potential outcomes of these decisions. A rescue operation after an earthquake is simulated. Test results are promising and the simulation scope is planned to be extended.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
