摘要
新疆棉田目前采取人工灌溉,且现有的棉田智慧灌溉系统存在传输距离短、功耗高、网络结构复杂和信号在传输过程中易受干扰等缺点。为此,设计了一款基于物联网的棉田智慧灌溉系统。该系统利用土壤墒情仪监测棉田的土壤信息,通过无线传输技术(LoRa)将采取的信息传输至上位机平台,通过对棉田不同时期灌溉模型的建立,根据实际情况进行科学有效的灌溉。系统硬件部分采用了E19-433M20SC模块,是基于SX1278为核心的无线通信模块,大大提高了系统的稳定性。该系统的研发减少了水资源的浪费,水资源的利用率提高至40%以上,棉田产量也得到了大幅提高。试验结果表明:系统的稳定性符合要求,数据传输精度高,一次通信失败率0.212%、二次通信失败率为0.054%。
Aiming at the problem of artificial irrigation in cotton fields in Xinjiang,the existing intelligent irrigation system for cotton fields in the market has some shortcomings,such as short transmission distance,high power consumption,complex network structure,and easy interference of signals in the transmission process,etc.A intelligent irrigation system for cotton fields based on Internet of Things was designed.he system uses soil moisture analyzer to monitor the soil information of cotton field,and transmits the information to the upper computer platform through wireless transmission technology(LoRa).Through the establishment of irrigation models in different periods of cotton field,scientific and effective irrigation is invited according to the actual situation.The hardware part of the system adopts E19-433M20SC module,which is a wireless communication module based on SX1278,which greatly improves the stability of the system.The research and development of this system reduced the waste of water resources,increased the utilization rate of water resources to over 40%,and greatly increased the cotton yield.Through experimental research,the stability of the system meets the requirements,and the data transmission accuracy is high.The failure rate of primary communication is 0.212%,and that of secondary communication is 0.054%.The application of intelligent irrigation system in cotton field promotes the development from traditional agriculture to intelligent agriculture.
作者
张雪媛
张立新
娄晓康
杜婵婵
单永超
Zhang Xueyuan;Zhang Lixin;Lou Xiaokang;Du Chanchan;Shan Yongchao(College of Mechanical and Electrical Engineering,Shihezi University,Shihezi 832000,China;Industrial Technology Research Institute,Shihezi 832003,China)
出处
《农机化研究》
北大核心
2022年第7期105-111,共7页
Journal of Agricultural Mechanization Research
基金
国家自然科学基金项目(51365048)
自治区科技支疆计划项目(2017E0227)
石河子大学国际合作项目(KX01210104)。