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作 者:赵转莉[1] 高玲[1] Zhao Zhuanli;Gao Ling(Yellow River Conservancy Technical Institute,Kaifeng 475003,China)
出 处:《农机化研究》2024年第11期219-223,共5页Journal of Agricultural Mechanization Research
基 金:河南省社科联课题(SKL-2019-2407)。
摘 要:为提升农业灌溉系统检测环节准确性及整体作业效率为目标,基于物联网灌溉及参数检测方法应用展开设计。以当前灌溉作业机理及通信结构布局为出发点,通过建立合理正确的参数检测架构,选定高效适应的参数检测方法,实现整体灌溉系统功能优化。进行灌溉系统作业监测试验,结果表明:参数数据通信监测准确率及系统执行效率分别提升至93.70%与95.89%,系统丢包率相对降低至0.79%,平均节水效率相对提升了6.39%。基于物联网平台进行参数检测的有效性与适应性改进,较好地满足了智能灌溉的发展趋势,其方法研究理念对于灌溉系统及类似农机培育系统开发应用具有参考价值。In order to further improve the accuracy and overall efficiency of the agricultural irrigation system detection,the application of irrigation and parameter detection methods based on the Internet of things was designed and studied.Taking the current irrigation operation mechanism and communication structure layout as the starting point,by establishing a reasonable and correct parameter detection framework,selecting an efficient and adaptive parameter detection method,achieving the optimization of the overall irrigation system function,and then the operation monitoring test of the irrigation system was carried,the results showed that the operation stability of the Internet of things irrigation system under this parameter detection method had been improved,the accuracy of parameter data communication monitoring and the efficiency of system execution were increased to 93.70%and 95.89%respectively;The system packet loss rate was relatively reduced to 0.79%,and the average water-saving efficiency was relatively increased by 6.39%.From the perspective of the operation effect of process irrigation,the effectiveness and adaptability of parameter detection based on the Internet of things platform were improved,which better meet the development trend of intelligent irrigation.The method research concept would be potential promotion significance for the development and application of irrigation systems and similar agricultural machinery cultivation systems.
关 键 词:农业灌溉系统 参数检测 功能优化 系统丢包率 节水效率
分 类 号:S274.2[农业科学—农业水土工程] S126[农业科学—农业工程]
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