CSR-CSI: Collaborative Research: Dynamic Sensor/Computation Network for Wildfire Management

CSR-CSI：协作研究：用于野火管理的动态传感器/计算网络

• 批准号: 0719641
• 负责人: Jan Mandel
• 金额: --
• 依托单位: University of Colorado at Denver-Downtown Campus
• 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: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0719641&HistoricalAwards=false
• 关键词: CSR; CSI; Collaborative; Research; Dynamic

Through a collaboration between the University of Kentucky, the University of Colorado at Denver, Rochester Institute of Technology, and cooperation with NCAR, a next generation wiland fire system is being created based on dynamic data-driven application system (DDDAS) principles.A variety of sensors are used, from stationary sensors on the ground to sensors in satellites or attached to airplanes flying overhead. The use of the sensors changes with little warning and cannot be predicted in advance. Models change dynamically based on sensor networks. A dynamic execution environment is essential for acquiring the data, running a multi-model application, and pushing the results to the right places at the right times securely and robustly while still being simple enough for non-computer experts to operate the complex system while on a mountainside during stressful conditions.The sensors used are reprogrammed in the field. New mathematical methods are being developed to change running simulation of a highly nonlinear system with coherent features in response to data and also controls sensors. The project employs virtual Grid technology in the computational environment.Tens of billions of dollars in property and infrastructure burn up or are severely damaged every year due to wildfires.The peak areas are not just low population density areas in Colorado and Montana, but include areas near large population areas and national labs in California, Florida, Georgia, Texas, New Mexico, and Oklahoma. Commerce is affected through disruptions of transportation of goods and loss of jobs.

通过与肯塔基州大学、科罗拉多大学丹佛分校、罗切斯特理工学院的合作，以及与NCAR的合作，正在基于动态数据驱动应用系统（DDDAS）原理创建下一代荒地消防系统。传感器的使用几乎没有警告，并且无法提前预测。模型基于传感器网络动态变化。动态执行环境对于获取数据、运行多模型应用程序以及在正确的时间安全可靠地将结果推送到正确的位置至关重要，同时对于非计算机专家来说，即使在压力条件下在山坡上操作复杂的系统也足够简单。正在开发新的数学方法，以改变运行模拟的高度非线性系统的相关功能，以响应数据和控制传感器。该项目在计算环境中采用了虚拟网格技术，每年有数百亿美元的财产和基础设施因野火而烧毁或严重受损。高峰地区不仅仅是科罗拉多和蒙大拿州的低人口密度地区，还包括加州、佛罗里达、格鲁吉亚、德克萨斯、新墨西哥州和俄克拉荷马州的人口密集区和国家实验室附近的地区。商品运输中断和失业影响商业。