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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防火预测系统

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摘要

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,局部天气观测,环境和人行为的特征与森林火灾发生高度相关。 因此,我们介绍了一套模糊化,以评估研究区域的火灾风险,并建立定量潜在的火灾风险方案。 无线传感器网络的技术用于连续收集24小时天气数据,这提供了高机会,以准确地反映森林环境的地位。 根据系统,我们可以获得哪些日子是森林火灾危险和特别注意防止森林卫兵的森林火灾。

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