基于LoRa的智能农业系统设计与实现
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湖北大学 计算机与信息工程学院,湖北大学 楚才学院,湖北大学 计算机与信息工程学院,烽火通信科技股份有限公司 业务与终端产出线;烽火通信科技股份有限公司 业务与终端产出线

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国家自然科学基金项目(面上项目,重点项目,重大项目)


Design and Implementation of Intelligent Agricultural System Based on Lora
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School of Computer Science and Information Engineering,Hubei University,Wuhan,Chucai Honors College,Hubei University,Wuhan,,Service and CPE Business Unit,Fiberhome Telecommunication Technologies CoLtd,Wuhan

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    摘要:

    针对ZigBee网络在智能农业系统应用中存在的单跳传输距离短、多跳组网结构复杂、信号易干扰、丢包率误码率高、实用性差等缺点,提出一种基于LoRa协议智能农业系统的设计方案;该方案以LoRa网络实现系统感知层设计,基于简单的星型组网架构,构建低功耗广域物联网智能农业系统;从系统总体设计、网络架构、LoRa节点和LoRa基站软硬件设计以及通信协议等方面阐述设计关键,实现对农业生产现场环境数据采集及相关设备的远程控制,并从功能和性能两方面进行实验测试与对比;结果表明,基于LoRa的智能农业系统组网简单、覆盖面广、数据传输可靠性高、功耗低,工作周期长,非常适合在复杂的农业生产现场中推广应用。

    Abstract:

    In light of the shortcomings of ZigBee in the application of intelligent agricultural system, such as short transmission distance of single-hop, complex multi-hop network structure, easy signal interference, high error rate and packet losing rate, and poor practicability, a design scheme of intelligent agricultural system based on LoRa is presented; The plan realizes the system-aware layer design based on the LoRa network and a low power wide area Internet intelligent system is constructed based on a simple star network architecture; This paper sets forth design strategy from the aspects of the general layout of the system, network architecture, LoRa node and the soft-hardware design of LoRa base station, communication protocol and so on and the method to achieve agricultural production site environmental data acquisition and related equipment for remote control is also been explained in the paper, the experimentation testing and comparison with two aspects of the function and performance have been done;The experimental results show that the intelligent agriculture system based on LoRa has the advantages of simple networking, wide coverage, high reliability of data transmission, low power consumption and long working period, which is very suitable for popularization and application in complex agricultural production sites.

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陈彪,揭晶方,张伟,沈琼霞.基于LoRa的智能农业系统设计与实现计算机测量与控制[J].,2018,26(10):128-131.

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  • 收稿日期:2017-11-20
  • 最后修改日期:2018-01-11
  • 录用日期:2018-01-15
  • 在线发布日期: 2018-10-16
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