一种基于振动和音频的非法采伐事件实时监测系统

Yu-Yan Chen, Jiun-Jian Liaw
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引用次数: 8

摘要

非法采伐已成为一个极其重要的问题。我们正试图在森林中部署传感器。当非法采伐事件发生时,传感器将发送数据。本文旨在对非法采伐事件的振动识别及非法采伐声识别技术进行研究。实现了两种节点来感知振动和音频。为了节省能耗,还对监控系统进行了睡眠调度。结果表明,设计的节点至少可以在森林中生存3个月。
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A novel real-time monitoring system for illegal logging events based on vibration and audio
The Illegal logging (IL) has become an extremely important issue. We are trying to deploy the sensors in the forest. The sensors will send the data of illegal logging event while it happened. This paper is aiming to recognize the vibration of illegal logging events and the technique of illegal logging sound recognition. Two kinds of nodes are implemented to sense the vibration and audio. In order to save the energy consumption, the sleeping scheduling is also designed for the monitoring system. According to the results, the designed nodes can be lived in the forest for 3 months at least.
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