摘要:基于DOME - iot的野外火灾应急事件监测

Fangqi Liu, Tung-Chun Chang, Kevin Liu, Cyrus Li, Sachin Krishan Thyaharajan, Sideshwar Jappeswaran Balasubramanian, N. Venkatasubramanian
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引用次数: 0

摘要

我们介绍了物联网监测系统DOME,该系统采用移动无人机和原位物联网设备收集实时数据,以便在紧急事件和不断发展的事件中进行态势感知,重点是野火。DOME集成并处理所有收集到的传感数据,并呈现一个仪表板,显示各种特征的动态状态,包括火灾、天气和空气质量。根据感知到的火灾状态和风况,DOME利用基于物理的火灾模型来预测火灾的未来演变。此外,DOME集成了规划多架无人机飞行和控制其运动的算法,以支持基于无人机的自动移动传感。此功能可实现高效的数据收集,并增强系统的整体监控能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demo Abstract: DOME – IoT-Based Monitoring Emergent Events for Wildland Fire Resilience
We present DOME, an IoT monitoring system that employs mobile drones and in-situ IoT devices to gather real-time data for situational awareness during emergent and evolving events, with a focus on wildland fires. DOME integrates, and processes all collected sensing data and presents a dashboard that displays the dynamic status of various features, including fire, weather, and air quality. Based on the perceived fire status and wind conditions, DOME leverages physics-based fire models to predict the future evolution of the fire. Moreover, DOME integrates algorithms that plan the flight of multiple drones and control their motions to support automatic drone-based mobile sensing. This feature enables efficient data collection and enhances the system’s overall monitoring capabilities.
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