山林盜伐已經成為一個非常重要的議題。我們嘗試將感測器佈置於山林內。當山林盜伐發生時,感測器將會把感測到的非法盜伐的訊息進行發送。本研究在辨識山林盜伐事件,分別透過震動及聲音兩種方法來進行辨識。分別實作了兩個感測節點已來感測盜伐的震動及聲音。因山區蠻荒電池不亦更換,為了達到節省節點能源的消耗,我們將設計感測器休眠排程以降低監控系統的能量消耗。本研究重點有兩個目標:第一個目標是設計山林盜伐的感測硬體,並且降低震動及聲音感測器在非工作時的能量消耗;第二個目標是將這些感測資料蒐集後,透過無線通訊技術將資料回傳至後端,並且能將蒐集到的訊息有效及時的通報相關人員。最後,實驗結果說明,設計的感測節點至少可以在山林內存活三個月以上。
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. considering the battery is hard to charge in the mountain. To save the node energy consumption, we planned on terminate the power of the monitor supply in accordance with our timetable. There's two points in our research first, designed a system to monitoring deforestation and reducing power dissipation. Finally, sending the data by ZigBee after data collections, and warning the manager on time. According to the results, the designed nodes can be lived in the forest for 3 months at least.