森林监测物联网系统

Alina Elena Marcu, G. Suciu, E. Olteanu, Delia Miu, Alexandru Drosu, I. Marcu
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引用次数: 15

摘要

由于森林砍伐和自然灾害(例如森林火灾或气体排放增加),一些重要问题正在影响森林环境。本文提出了一种基于树莓派Model 3、模拟和数字传感器以及信号分析算法的森林环境智能监测方案。传感器监测温度、气体浓度、土壤湿度等参数,同时使用分类算法分析背景声音,在此基础上,生成的事件可以分为以下类别之一:电锯、车辆或森林背景噪音。用户可以通过互联网和移动应用程序访问收集到的数据,一旦发现火灾、污染源或非法砍伐森林,用户就可以收到通知。海洋森林环境监测解决方案是一个物联网项目,面向公共和私人森林所有者以及国家环境和灾害应对部门。
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IoT System for Forest Monitoring
Several important issues are affecting the forest environment due to deforestation and natural disasters (for example forest fires, or increased gas emissions). This paper proposes an intelligent forest environment monitoring solution based on the Raspberry Pi Model 3, analogical and digital sensors and signals analysis algorithms. Parameters such as temperature, gas concentrations, soil humidity etc. are monitored with sensors while background sounds are analyzed with a classification algorithm on the basis of which the generated event can be classified into one of the following categories: Chainsaw, Vehicle, or Forest background noise. The user’s accessibility to the collected data is ensured via Internet and a mobile applications that allows the user to receive notifications, whenever fire, pollution sources, or illegal deforestation are detected. The SeaForest environment monitoring solution is an IoT project, addressed to public and private forest owners as well as to national environmental and disaster response authorities.
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