实现森林物联网使用无线网络通信技术的低功率宽带网络
Ming Zhao1, Ren-Jie Ye2, Shuo-Tsung Chen3,4
1School of Computer Science, Yangtze University, Jingzhou 434023, China.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
本研究介绍了使用物联网,LoRa和NB-IoT的智能森林监控系统. 它具有太阳能气象站和多跳跃算法,用于在偏远地区可靠的长途数据收集.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 电气工程 电气工程
背景情况:
- 森林监测对于环境管理和危险的早期发现至关重要.
- 传统的监控系统在偏远地区面临挑战,原因是电力和通信的限制.
- 物联网 (IoT) 为增强环境传感提供了潜在的解决方案.
研究的目的:
- 利用物联网技术开发一个智能森林监测系统.
- 在没有现有的蜂基础设施的森林中克服长距离通信障碍.
- 确保监控设备在离网位置的连续运行.
主要方法:
- 实施一个配备低功率广域网 (LPWAN) 传感器的太阳能微气象站,特别是长距离 (LoRa) 和窄带物联网 (NB-IoT).
- 开发和应用一个多跳算法,以扩大基于LoRa的传感器的通信范围,使数据传输无需3G/4G.
- 集成太阳能电池板和电池存储系统,为监控设备提供可持续和可靠的电力供应.
主要成果:
- 成功实施智能森林监测系统.
- 使用拟议的多跳算法展示有效的长距离数据通信.
- 在森林环境中验证系统的性能和可靠性,包括通过太阳能和电池集成进行电力管理.
结论:
- 拟议的基于物联网的森林监测系统有效地解决了偏远地区的电力和通信挑战.
- 多跳的LoRa算法为缺乏传统网络覆盖的环境中远程数据传输提供了可行的解决方案.
- 该系统提供了一种可持续和强大的实时森林状况监测方法.
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