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

通过肯塔基大学、科罗拉多大学丹佛分校、罗彻斯特理工学院之间的合作以及与 NCAR 的合作，基于动态数据驱动应用系统 (DDDAS) 原理，正在创建下一代 Wiland 消防系统。使用了各种传感器，从地面上的固定传感器到卫星中的传感器或安装在上空飞行的飞机上的传感器。传感器的使用变化几乎没有任何警告，并且无法提前预测。模型根据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，同时又足够简单，让非计算机专家在压力条件下在山坡上操作复杂的系统。所使用的传感器在现场重新编程。新的数学方法正在开发中，以改变高度非线性系统的运行模拟，该系统具有响应数据的相干特征，并控制传感器。该项目在计算环境中采用虚拟网格技术。每年有数百亿美元的财产和基础设施因野火被烧毁或严重损坏。高峰地区不仅是科罗拉多州和蒙大拿州的低人口密度地区，还包括加利福尼亚州、佛罗里达州、佐治亚州、德克萨斯州、新墨西哥州和俄克拉荷马州的人口稠密地区和国家实验室附近的地区。商业受到货物运输中断和失业的影响。

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.