RAPID: Evaluation of an Artificial Intelligence-enhanced Edge Sensor System for Multi-Hazard Monitoring and Detection

RAPID：评估用于多危险监测和检测的人工智能增强型边缘传感器系统

• 批准号: 2346568
• 负责人: Jason Leigh
• 金额: $ 20万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2346568&HistoricalAwards=false
• 关键词: RAPID; Evaluation; Artificial; Intelligence; enhanced

On Aug 8, 2023, Lahaina faced a massive fire, exacerbated by regional drought, high temperatures, and winds influenced by Hurricane Dora. This project combines University of Hawaii's Climate Mesonet system with Northwestern University’s Sage Artificial Intelligence-enhanced instrument platform to build a multi-hazard monitoring and detection station for natural disasters such as fires, high winds, and floods. The system is being deployed as near as possible to the burn site in Lahaina/Maui, to gather data vital to the recovery effort.The work is being conducted by a team with over 80 years of experience in research, development and deployment of scientific instrumentation and cyber-infrastructure used by government agencies, businesses and the general public. The project integrates cutting edge climate science with cutting-edge computer science approaches for enhanced instrument design, gathers essential climate and pollutant data to aid clean-up activities in Lahaina, and obtains performance and reliability data, guiding both instrument enhancements and Lahaina's recovery planning.This project provides essential data for informing Lahaina's recovery, while highlighting to the community the advantages of adopting recent climate science and cyber-infrastructure advancements. Local students in Maui are being recruited to participate in the instrument construction, data gathering, analysis and visualization effort.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.

2023年8月8日，拉海纳（Lahaina）面对大火，受到区域干旱，高温和受飓风飓风影响的风的加剧。该项目将夏威夷大学的气候中音系统与西北大学的Sage人工智能增强仪器平台结合在一起，以建造用于自然灾害（例如火灾，大风和地板）的多危险监测和探测站。该系统正在尽可能近于拉海纳/毛伊岛的燃烧现场，以收集对恢复工作至关重要的数据。这项工作是由一个在研究，开发和部署科学仪器以及政府机构，企业和企业和一般公众的研究，开发和部署科学仪器和网络基础架构方面经验超过80年的团队进行的。该项目将尖端的气候科学与最先进的计算机科学方法相结合，以增强仪器设计，收集基本的气候和污染物数据，以帮助清理拉海纳的活动，并获得绩效和可靠性数据，指导仪器的增强功能和拉海纳的恢复计划。该项目为Lahaina的恢复提供了必不可少的数据，以使其恢复阶段，以实现社区的发展。正在招募毛伊岛的当地学生参加仪器构建，数据收集，分析和可视化工作。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，通过评估来诚实地支持支持。