基于无线传感器和无人机的野火预警系统

IF 1.3 Q3 REMOTE SENSING
Songsheng Li
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引用次数: 8

摘要

世界各地每年都会爆发野火,造成严重的生命和财产损失。尽管科学技术进步迅速,但目前还没有有效的野火预报手段。不同国家部署了各种野火监测系统,大多数依靠照片或视频来识别首次爆发后的野火特征,而确认的延迟因技术而异。本文提出了一种自主森林野火预警系统,该系统采用最先进的无人机(UAV),根据既定路线和严格的程序定期在森林周围飞行,通过安装在树上的传感器收集环境数据,监测和预测野火,然后在危险出现之前提供早期预警。采用低功耗蓝牙(BLE)技术实现无人机与传感器主机之间的数据交换。采集到的温度、湿度等监测数据能有效反映森林的真实状况,为火灾预警提供依据。该系统在环境中的应用将增强社区对野火的预测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wildfire early warning system based on wireless sensors and unmanned aerial vehicle
Wildfires erupt annually around the world causing serious loss of life and property damage. Despite the rapid progress of science and technology, there are no effective means to forecast wildfires. Various wildfire monitoring systems are deployed in different countries, most depend on photos or videos to identify features of wildfire after the first outbreak, while the delay of confirmation varies with technology. An autonomous forest wildfire early warning system is presented in this paper, which employs a state-of-the-art unmanned aerial vehicle (UAV) to fly around a forest regularly according to established routes and strict procedures, to collect environmental data from sensors installed on trees, to monitor and predict wildfire, then provide early warning before eruption if a danger emerges. Bluetooth Low Energy (BLE) is employed to exchange data between UAV and the host of sensors. The collected monitoring data, such as temperature and humidity, is effective to reflect the real condition of the forest, which could result in early warning of wildfires. The application of this system in the environment will enhance the ability of wildfire prediction for the community.
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来源期刊
CiteScore
5.30
自引率
0.00%
发文量
2
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