School of Computer Science, Yangtze University, Jingzhou 434023, China.
Graduate School of Applied Chinese Studies, National Yunlin University of Science and Technology, Douliu 64002, Taiwan.
Sensors (Basel). 2023 May 16;23(10):4809. doi: 10.3390/s23104809.
This work implements an intelligent forest monitoring system using the Internet of things (IoT) with the wireless network communication technology of a low-power wide-area network (LPWAN), a long range (LoRa), and a narrow-band Internet of things (NB-IoT). A solar micro-weather station with LoRa-based sensors and communications was built to monitor the forest status and information such as the light intensity, air pressure, ultraviolet intensity, CO, etc. Moreover, a multi-hop algorithm for the LoRa-based sensors and communications is proposed to solve the problem of long-distance communication without 3G/4G. For the forest without electricity, we installed solar panels to supply electricity for the sensors and other equipment. In order to avoid the problem of insufficient solar panels due to insufficient sunlight in the forest, we also connected each solar panel to a battery to store electricity. The experimental results show the implementation of the proposed method and its performance.
本工作采用物联网(IoT)技术,利用低功耗广域网(LPWAN)、长距离(LoRa)和窄带物联网(NB-IoT)的无线网络通信技术,实现了智能森林监测系统。搭建了基于 LoRa 的传感器和通信的太阳能微气象站,以监测森林状态和光照强度、气压、紫外线强度、CO 等信息。此外,还提出了一种基于 LoRa 的传感器和通信的多跳算法,以解决无 3G/4G 的远距离通信问题。对于没有电力的森林,我们安装了太阳能电池板为传感器和其他设备供电。为了避免因森林中阳光不足导致太阳能电池板供电不足的问题,我们还将每个太阳能电池板连接到电池以存储电量。实验结果展示了所提出方法的实现及其性能。