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: 0720470
• 负责人: Lewis Ntaimo
• 金额: $ 8万
• 依托单位: Texas A&M Engineering Experiment Station
• 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 2010-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0720470&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.

最近的山火凸显了山火对世界各地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消防管理，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、模拟和优化软件环境，以实现有效的野火管理。该环境集成了实时采集天气和火灾前线位置数据、快速模拟火势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。将这些通常孤立处理的组件集成在一起，可以形成一个新颖的综合软件系统，有效支持消防管理的实时优化决策，并最大限度地降低消防风险和成本。具体研究目标包括开发系统架构和集成实时数据采集、火势蔓延模拟、随机优化和消防模拟的软件环境，以实现动态数据驱动的野火管理，以及开发运行时环境以支持不同功能之间的高效计算和无缝通信分布式计算环境中的组件。集成系统软件环境将提供所需的决策支持工具来协助消防决策。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。