基于LoRa技术的农田智能灌溉系统设计  

Design of intelligent irrigation system for farmland based on LoRa technology

作　　者：孟祥[1] 赵莹[1] 徐卓威 张大庆[2] Meng Xiang;Zhao Ying;Xu Zhuowei;Zhang Daqing(School of Electrical and Information Engineering,Beihua University,Jilin,132021,China;Jilin Agricultural Science and Technology College,Jilin,132101,China)

机构地区：[1]北华大学电气与信息工程学院,吉林吉林132021 [2]吉林农业科技学院,吉林吉林132101

出　　处：《中国农机化学报》2023年第9期161-168,共8页Journal of Chinese Agricultural Mechanization

基　　金：吉林省教育厅科技研究项目(JJKH20210040KJ、JJKH20210039KJ);吉林省科技厅科技发展计划项目(20220203112SF)。

摘　　要：为使农作物在适宜含水率条件下生长,实现农田的精准灌溉,设计一种基于LoRa通信技术的农田智能灌溉系统。该系统主要包括作物信息采集单元、LoRa无线通信单元、智能决策单元和灌溉输出模块。系统采用MSP430处理器与WH-101-L型LoRa模块实现低功耗、网络化终端节点设计,通过集中器网关将农田作物信息传输到云服务器,并构建云管理决策软件。系统应用试验测试数据结果表明,采用同步唤醒技术的无线作物感知网络,数据传输稳定,平均丢包率为0.3%,并具备较强的扩展性;通过智能决策单元依据实时作物信息和数据库计算出灌溉量和灌溉时间,远程控制灌溉输出模块,精确控制作物在不同生长期的土壤含水率,在蓝莓试验田和玉米试验田试验测试得到含水率均方差分别为1.80和4.83,均比传统灌溉方式低。In order to make the crops grow under the condition of appropriate water content and realize the precision irrigation of farmland,an intelligent irrigation system based on LoRa communication technology was designed in this paper.The system mainly includes crop information acquisition unit,LoRa wireless communication unit,intelligent decision unit and irrigation output module.The system adopts MSP430 processor and WH-101-L LoRa module to realize low power consumption and network terminal node design,transmits farmland crop information to cloud server through concentrator gateway,and builds cloud management decision software.The results of system application test show that the wireless crop awareness network using synchronous wake up technology has stable data transmission,the average packet loss rate is 0.3%,and has strong scalability.The system calculates irrigation amount and irrigation time by intelligent decision unit based on real-time crop information and database,and remotely controls the irrigation output module to accurately control the soil moisture content of crops in different growing periods.The mean square errors of water content obtained in blueberry and corn test fields are 1.80 and 4.83 respectively,both lower than the traditional irrigation method.

关 键 词：农田智能灌溉系统 LoRa技术 同步唤醒 决策模型 田间管理 

分 类 号：S224[农业科学—农业机械化工程] TP273[农业科学—农业工程]