CSR-CSI: System Integration of Dynamical Data Driven Wildfire Spread and Firefighting Modeling, Simulation, and Optimization

CSR-CSI：动态数据驱动的野火蔓延和消防建模、仿真和优化的系统集成

• 批准号: 0720675
• 负责人: Xiaolin Hu
• 金额: $ 12万
• 依托单位: Georgia State University Research Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0720675&HistoricalAwards=false
• 关键词: CSR; CSI; System; Integration; Dynamical

Recent wildfires have highlighted the serious threat from wildfires to communities and ecosystems throughout the world. There is a need for new systems software tools to assist in effective fire management regarding where and when to deploy limited firefighting resources. This project develops an integrated data acquisition, modeling, simulation, and optimization software environment for effective wildfire management. This environment integrates real-time acquisition of weather and fire-front position data, fast simulation of fire spread to predict fire behavior, just in-time optimization to compute firefighting resource deployment, and modeling and simulation of firefighting to assess strategies of fire suppression. Integrating these components that are usually treated in isolation enables a novel comprehensive software system to effectively support real-time optimal decision-making for fire management and minimize firefighting risk and cost. Specific research objectives include developing system architecture and a software environment that integrates real time data acquisition, fire spread simulation, stochastic optimization, and firefighting simulation for dynamical data driven wildfire management, and developing runtime environment to support efficient computation and seamless communication among the different functional components in a distributed computing environment. The integrated systems software environment will provide a needed decision support tool to assist in firefighting decision making. The software environment will also serve as a valuable training and planning tool for fire management, and will provide a multidisciplinary educational tool for students and researchers at large.

最近的野火突出表明野火对全世界社区和生态系统的严重威胁。需要新的系统软件工具来协助有效的火灾管理，以确定何时何地部署有限的消防资源。该项目开发了一个集成的数据采集，建模，仿真和优化软件环境，用于有效的野火管理。该环境集成了天气和火锋位置数据的实时采集、快速模拟火灾蔓延以预测火灾行为、实时优化以计算消防资源部署以及消防建模和模拟以评估灭火策略。将这些通常被孤立处理的组件集成在一起，使一个新颖的综合软件系统能够有效地支持火灾管理的实时优化决策，并最大限度地降低消防风险和成本。具体的研究目标包括开发系统架构和软件环境，集成真实的时间数据采集，火灾蔓延模拟，随机优化，消防模拟动态数据驱动的野火管理，并开发运行时环境，以支持高效的计算和无缝通信的不同功能组件之间的分布式计算环境。综合系统软件环境将提供必要的决策支持工具，以协助消防决策。该软件环境还将作为火灾管理的宝贵培训和规划工具，并将为广大学生和研究人员提供多学科教育工具。