Real-Time Fire Prediction Using Simulation Databases

使用模拟数据库进行实时火灾预测

• 批准号: 9616669
• 负责人: Jonathan Barnett
• 金额: $ 15.13万
• 依托单位: Worcester Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-01-01 至 1999-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9616669&HistoricalAwards=false
• 关键词: Real; Time; Fire; Prediction; Using

9616669 Barnett Recent advances in fire science and computer modeling of fires allow scientists to predict fire growth and spread through buildings and other structures. To date, little work has been done to develop the scientific basis for the methodologies and techniques necessary to allow the use of this technology for manual building-fire suppression. The objective of this study is to develop a prototype system consisting of a building-specific fire simulation database and real-time sensor queries to aid fire fighting efforts in building fires. The database will be constructed by using building fire field models based on computational fluid dynamics theory and zone models as appropriate. The result of this work will be a system whereby manual fire suppression activities will be optimized by an interaction with a building's thermal sensing system through the use of computer database and visualization technology. The results of this research will have wide-ranging applications and will form the basis for the development of new fire models and expert systems for building manual fire suppression activities. ***

9616669 Barnett 火灾科学和火灾计算机建模的最新进展使科学家能够预测火灾的增长和在建筑物和其他结构中的蔓延。 迄今为止，为使用该技术进行手动建筑灭火所需的方法和技术建立科学基础方面所做的工作还很少。 本研究的目的是开发一个原型系统，该系统由特定于建筑物的火灾模拟数据库和实时传感器查询组成，以帮助扑灭建筑物火灾。 该数据库将通过使用基于计算流体动力学理论的建筑火场模型和适当的区域模型来构建。 这项工作的结果将是一个系统，通过使用计算机数据库和可视化技术，通过与建筑物的热传感系统的交互来优化手动灭火活动。 这项研究的结果将具有广泛的应用，并将成为开发用于建筑手动灭火活动的新火灾模型和专家系统的基础。 ***