摘要
为了提高大区块水田用水效率、增加水稻产能,建立了大区块水田智能控灌装备体系,并结合物联网与传感器技术,设计了一种以STC15F2K60S2为主控芯片的水田智能控灌系统。根据不同的使用环境在系统内部设定的“经济用水灌溉”“浅湿晒灌溉”“稻渔共生灌溉”3种不同的智能控灌模式,并利用田间终端传感器采集水田内水温、水位、土壤含水率等参数,达到提高经济效益和生态效益的目的。系统所采集的数据可以通过无线网络上传至云数据库,供远程控制中心或用户智能终端软件调用。在黑龙江省安达市农业科技园区的田间试验表明:智能控灌系统可以远程监测大区块水田实时情况,下位机之间的距离在2100m以内时数据传输稳定,可快速地对操作指令进行反应,最终达到节水控制灌溉提高经济效益的效果。
In order to improve the efficiency of water use in large paddy fields,increase rice production and establish an intelligent irrigation control system for large paddy fields,an intelligent irrigation control system for paddy fields is designed with the STC15F2K60S2 as the main control chip,combining IoT and sensor technology.The system has three different modes of intelligent irrigation control:economic water irrigation,shallow wet sun irrigation and rice-fishery irrigation,which can be set up according to different usage environments.The system can collect water temperature,water level,soil water content and other parameters in the paddy field using field terminal sensors to improve the economic and ecological benefits.The data collected by the system can be uploaded to the cloud database via wireless network for remote control center or user's intelligent terminal software to call.Field trials in the Agricultural Science and Technology Park in Anda,Heilongjiang Province,have shown that the intelligent irrigation control system can remotely monitor the real-time situation of large blocks of paddy fields and quickly respond to operational instructions,achieving water-saving control of irrigation to improve economic efficiency.
作者
佟尚谕
黄操军
高学文
袁鑫宇
李爱传
周正
Tong Shangyu;Huang Caojun;Gao Xuewen;Yuan Xinyu;Li Aichuan;Zhou Zheng(College of Information and Electrical Engineering,Heilongjiang Bayi Agricultural University,Daqing 163319,China;College of Engineering,Heilongjiang Bayi Agricultural University,Daqing 163319,China)
出处
《农机化研究》
北大核心
2024年第11期116-120,共5页
Journal of Agricultural Mechanization Research
基金
国家自然科学基金青年科学基金项目(32201655)。
关键词
大区块水田
智能控灌
农业物联网
远程控制
large block paddy fields
intelligent irrigation control
agricultural internet of things
remote control
