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，拉海纳遭遇了一场大火，地区干旱、高温和飓风多拉影响的大风加剧了这场大火。该项目将夏威夷大学的Climate Mesonet系统与西北大学的Sage人工智能增强型仪器平台相结合，为火灾、大风和洪水等自然灾害建立多危害监测和检测站。该系统正在尽可能靠近拉海纳/毛伊岛的烧伤现场部署，以收集对恢复工作至关重要的数据，这项工作由一个在研究、开发和部署政府机构、企业和公众使用的科学仪器和网络基础设施方面拥有80多年经验的团队进行。该项目将先进的气候科学与先进的计算机科学方法相结合，以增强仪器设计，收集必要的气候和污染物数据，以帮助拉海纳的清理活动，并获得性能和可靠性数据，指导仪器改进和拉海纳的恢复规划。同时向社区强调采用最新气候科学和网络基础设施进步的优势。毛伊岛的当地学生正在招募参与仪器建设，数据收集，分析和可视化工作。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。