Abstract

The use of wireless sensor networks (WSNs) and the Internet of things to detect forest fire outbreaks may help to reduce the response time and avoid natural disasters. This work proposes the deployment of WSN to enhance the real-time monitoring of dynamic variables such as polluting gases, temperature or the presence of fire flames by infrared. In addition, the activation of forest fire alerts if environmental status may involve evidence of a recent fire outbreak. A fuzzy-based controller is implemented to manage the uncertainty related to estimating forest fire occurrence and dynamic update of fuzzy sets is developed to distinguish usual and unusual environmental conditions of every monitored forest area. Merkle trees, AES and hash functions are considered to protect the integrity of environmental data.

中文翻译：

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动态模糊逻辑控制器检测森林火灾爆发

摘要

使用无线传感器网络（WSN）和物联网来检测森林火灾爆发可能有助于减少响应时间并避免自然灾害。这项工作建议部署 WSN 以增强对动态变量的实时监测，例如污染气体、温度或红外火焰的存在。此外，如果环境状况可能涉及近期火灾爆发的证据，则激活森林火灾警报。实现了基于模糊的控制器来管理与估计森林火灾发生相关的不确定性，并开发了模糊集的动态更新来区分每个监测森林区域的正常和异常环境条件。Merkle 树、AES 和散列函数被认为可以保护环境数据的完整性。