基于LoRaWan及WiFi-Mesh技术的农场大田感知网络设计
Design of Farm Field Perception Network Based on LoRaWan and WiFi-Mesh Technology

针对新疆大田规模化种植场景中传统物联网技术存在的网络覆盖不足、多源异构数据融合困难等问题，本文提出了一种基于LoRaWan及WiFi-Mesh技术为核心的宽/窄带混合感知网络。该网络以5.8 GHz WiFi-Mesh作为骨干网，以CN470频段LoRaWan作为窄带传输网络。这种面向大田农业的无线传输网络既能满足以局部气候、土壤、农作物为感知对象的窄带数据传输需求，又能支撑如视觉感知等设备对宽带数据的传输需求。该网络将各类大田数据汇聚到农场边缘计算服务器，可以为智慧农场各功能的实现提供基础通讯支撑。
This paper proposes a hybrid broadband and narrowband sensing network based on LoRaWan and WiFi-Mesh technology to address the issues of insufficient network coverage and challenges in multi-source heterogeneous data fusion in traditional IoT technologies for large-scale farmland cultivation scenarios in Xinjiang. The network uses 5.8 GHz WiFi Mesh as the backbone network and CN470 frequency band LoRaWan as the narrowband transmission network. This wireless transmission network for field agriculture can meet the narrowband data transmission needs of local climate, soil, and crops as sensing objects, as well as support the broadband data transmission needs of devices such as visual perception. The network aggregates diverse farmland data into the farm’s edge computing server, providing basic communication support for the realization of various functions of the smart farm.