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.

通过肯塔基大学，科罗拉多大学丹佛大学，罗切斯特技术学院的合作，以及与NCAR的合作，正在基于动态数据驱动的应用系统（DDDAS）原理创建下一代Wiland Fire System。使用各种传感器，使用了各种传感器，来自卫星上的固定传感器对卫星的固定传感器，在卫星上飞向架空飞机或固定式飞机。传感器的使用几乎没有警告，无法提前预测。模型基于传感器网络动态更改。动态执行环境对于获取数据，运行多模型应用程序以及将结果在正确，稳健的适当时间推到正确的位置至关重要，同时仍然足够简单，以使非计算机专家在压力条件下在山脉上操作复杂系统，在使用的传感器中，在山上进行了复杂的系统。正在开发新的数学方法，以改变对高度非线性系统的运行模拟，该系统具有连贯的功能，以响应数据并控制传感器。该项目在计算环境中采用虚拟网格技术。由于野火而导致的数十亿美元的财产和基础设施燃烧或每年严重损坏。峰地区不仅是科罗拉多州和蒙大拿州的人口密度较低，而且包括科罗拉多州和蒙大拿州附近的大人来说，包括大量的人口和国家实验室，加利福尼亚州，佛罗里达州，格罗里达，乔治亚州，德克萨斯州，墨西哥墨西哥墨西哥裔，墨西哥，墨西哥，而且还包括较低的人口密度区域。商业的运输中断和工作损失受到影响。