Utilizing WSN and Artificial Intelligence to Detect Fires

S. Pradeep, Yogesh Kumar Sharma, C. Verma, Neagu Bogdan Constantin, Z. Illés, M. Răboacă, Traian Candin Mihaltan
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Abstract

A severe hazard to human homes and forest ecosystems worldwide and many others circumstances are taking place, fires have a variety of detrimental effects. One result of such devastation is the greenhouse effect and changes to the climate. It's interesting to see that based on human activity and natural disasters like forest fires and power Fluctuation are increasing. Therefore, it's important to spot fires early on in order to reduce the damage that fires inflict. In this paper, the path are proposed for leveraging a WSN will initially starts to detect the fires. AI intelligence or deep learning techniques are taking part to give more accurate fire detection. Research on Artificial intelligence approaches like technical search and agents is extremely tempting for catastrophe look over like fire. Using AI approaches, a strategy for responding to fires is created. This is accomplished by combining WSN, CNN and AI agents. This work's outcome analysis is pretty effective.
利用无线传感器网络和人工智能探测火灾
严重危害人类家园和世界各地的森林生态系统和许多其他情况正在发生,火灾具有各种有害影响。这种破坏的一个结果是温室效应和气候变化。有趣的是,基于人类活动和自然灾害,如森林火灾和电力波动正在增加。因此,为了减少火灾造成的损害,及早发现火灾是很重要的。在本文中,提出了利用WSN将最初开始检测火灾的路径。人工智能或深度学习技术正在参与提供更准确的火灾探测。对人工智能方法的研究,如技术搜索和代理,对于灾难来说是非常诱人的。利用人工智能方法,创建了应对火灾的策略。这是通过结合WSN、CNN和AI代理来实现的。这项工作的结果分析相当有效。
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