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A forest fire prediction system based on rechargeable wireless sensor networks

机译:基于可充电无线传感器网络的森林火灾预测系统

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As the most important factors, local weather observations, environments and human behaviors' characteristics are found highly correlated to forest fire occurrence. Therefore, we introduce a set of fuzzification to assess fire risk in the study area and establish a quantitative potential fire risk scheme. The wireless sensor network's technology was utilized for collecting 24-hour weather data continuously, which provides a high chance to reflect accurately the status of forest environment. Depending on the system, we can obtain which days are the high possibility of forest fires danger and paid special attention to prevent forest fire for forest guards.
机译:作为最重要的因素,当地的气象观测,环境和人类行为的特征与森林火灾的发生高度相关。因此,我们引入了一套模糊化方法来评估研究区域的火灾风险,并建立定量的潜在火灾风险计划。无线传感器网络的技术被用来连续收集24小时天气数据,这为准确反映森林环境状况提供了很大的机会。根据不同的系统,我们可以确定哪天有发生森林火灾危险的可能性很高,并特别注意防止森林火灾发生,以防护林员。

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