SBIR Phase I: CAS: DIGITAL TWIN FOR CLIMATE RESILIENCE ANALYTICS

SBIR 第一阶段：CAS：气候复原力分析的数字孪生

• 批准号: 2335269
• 负责人: Hongrak Pak
• 金额: $ 27.5万
• 依托单位: RESILITIX INTELLIGENCE LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-15 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2335269&HistoricalAwards=false
• 关键词: SBIR; Phase; CAS; DIGITAL; TWIN

This Small Business Innovation Research (SBIR) Phase I project augments community resilience to climate hazards by improving the situational awareness of public organizations, officials, and emergency managers. The project is focused on harnessing the data revolution in dealing with climate hazards. The team develops a digital twin technology for disaster preparedness, response, and recovery. Climate hazards (hurricanes and floods, in particular) are the most prominent stressors for communities in the United States and worldwide, causing dire physical, social, and economic hardships. The outcomes of this research have the potential for significant societal benefits that could enhance the public safety of millions of U.S. residents exposed to climate hazards and potentially lead to millions of dollars in avoided disaster management costs through proactive preparedness. The project could transform the ability of decision-makers, emergency managers, and responders to tailor their strategies and technologies to enhance situational awareness in dealing with climate hazards. This Small Business Innovation Research (SBIR) Phase I project delves into the intricate challenges of creating and designing a state-of-the-art digital twin technology that harnesses the power of community-scale big data and machine intelligence, offering a proactive and predictive lens on community preparedness, evacuation measures, protective actions, and post-emergency event recovery. The research activities include: (1) creating and testing computational methods, algorithms and metrics for specifying the extent of a populations' preparedness, evacuation planning, and recovery at the block group scale in near-time; (2) prototyping and optimizing the architecture of a web-based digital twin platform with effective data fusion and computation workflows in order to implement the created methods and algorithms and visualize the output insights in an intuitive, timely, and decision-friendly manner; (3) evaluating the performance of the aforementioned computational methods embedded in the digital twin technology prototype in the context of recent climate hazard events; and (4) demonstrating the use case of the digital twin prototype for emergency response and management applications through existing and growing partnerships.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项小型企业创新研究（SBIR）I阶段项目通过提高公共组织，官员和急诊管理人员的情境意识来增强社区对气候危害的韧性。该项目的重点是利用数据革命来应对气候危害。该团队开发了一种数字双技术，以准备灾难，响应和恢复。 气候危害（尤其是飓风和洪水）是美国和全球社区最突出的压力源，造成了可怕的身体，社会和经济困难。这项研究的结果有可能获得巨大的社会利益，这可能会增强数百万美国居民面临气候危害的公共安全，并有可能通过积极准备的准备就可以导致数百万美元的避免灾难管理成本。该项目可以改变决策者，应急管理者和响应者的能力，以量身定制其战略和技术，以提高应对气候危害的情境意识。这项小型企业创新研究（SBIR）I阶段项目探讨了创建和设计最先进的数字双技术技术的复杂挑战，该技术利用了社区规模的大数据和机器智能的力量，为社区准备，疏散措施，保护性措施以及后的紧急事件恢复提供了积极主动和预测的镜头。研究活动包括：（1）创建和测试计算方法，算法和指标，以指定人口的准备程度，疏散计划和在近时间范围内恢复的程度； （2）具有有效的数据融合和计算工作流程的基于Web的数字双平台的原型制作和优化，以实现创建的方法和算法，并以直观，及时且决策友好的方式可视化输出见解； （3）评估在最近的气候危害事件的背景下，在数字双技术原型中嵌入上述计算方法的性能； （4）通过现有和成长的合作伙伴关系展示了数字双胞胎原型的用例，用于紧急响应和管理应用程序。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估审查标准来通过评估来支持的。