摘要
为进一步实现农作物灌溉系统的精准作业目标,提高自动灌溉作业的综合水平,以物联网技术为支撑,针对灌溉系统的监控效能展开应用探究。以系统的组成及作业原理为基点,融入智能物联感知技术,建立物联监控模型,匹配适应性的监控平台架构,并展开基于智能物联监控平台应用的灌溉作业试验。结果表明:设计的监控系统数据丢包率小于3.00%,系统决策准确率与网络覆盖率分别相对提升了8.72%和8.60%,且整体灌溉区域的土壤湿度合格率与灌溉均匀度也得到了同步改善,具有良好的实施性与优越性,对于农机灌溉设备的智慧转型具有重要的推广价值。
In order to further achieve the goal of accurate operation of the crop irrigation system and improve the comprehensive level of automatic irrigation operation,the application research was carried out for the monitoring efficiency of the irrigation system based on Internet of things technology.Based on the composition and operation principle of the system,integrating the intelligent IoT sensing technology,the IoT monitoring model was established,the adaptive monitoring platform architecture was matched,and then the irrigation operation test based on the application of the intelligent IoT monitoring platform was carried out.The results showed that the data packet loss rate of the monitoring system under the application design could be controlled within the accuracy of less than 3.00%,The system decision accuracy and network coverage of the whole machine acting according to the actual operation had been increased by 8.72%and 8.60%respectively,and the qualified rate of soil moisture and irrigation uniformity in the overall irrigation area had also been improved synchronously,which has good implementation and advantages,and would be an important research and promotion significance for the intelligent transformation of the agricultural machinery irrigation equipment.
作者
李媛
Li Yuan(Shandong Vocational College of Industry,Zibo 256414,China)
出处
《农机化研究》
北大核心
2024年第2期207-211,共5页
Journal of Agricultural Mechanization Research
基金
山东省社会科学规划管理办公室项目(2020-SKZZ-54)。
关键词
灌溉系统
监控效能
物联感知
决策准确率
智慧转型
the irrigation system
the monitoring efficiency
IoT sensing
decision accuracy
the intelligent transformation
作者简介
李媛(1982-),女,山东淄博人,讲师,硕士,(E-mail)shenxigu3259@163.com。
