基于XR234Q电子鼻和嵌入式ARM7的农田精准灌溉系统设计
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(河南城建学院 计算机学院,河南 平顶山 467036)

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郭 猛 (1977),男,河南平顶山人,硕士,讲师,主要从事嵌入式系统及应用、数字图像处理等方向的研究。[FQ)]

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XR234Q Based Precision Electronic Noses and ARM7 Farmland Irrigation System Design
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(College of Computer,Henan University of Urban Construction, Pingdingshan 467036,China)

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    摘要:

    为解决农田灌溉过程中不能根据土壤墒情进行水量控制,水量浪费严重的难题;设计并实现了基于XR234Q电子鼻和ARM7的农田精准灌溉系统;采用墒情探头电子鼻模块采集土壤墒情信息,提取并且隔离干扰信息,建立墒情等级判断模型,利用最小二乘法对用水量进行拟合,控制灌溉出水量,配合ZIGBEE网络实现信息远程传递,在满足水量需求的情况下最大程度地节约了灌溉用水;实验表明,所提出的系统具备墒情自主判断和用水量计算能力,能够快速、准确的完成农田灌溉任务,相比于传统系统,文章系统土壤熵情检测误差率在5%以内,节水能力提高35%,应用前景广阔。

    Abstract:

    To solve the problem that in the process of the irrigation can not according to the soil moisture of water control, the problem of serious water waste, designed and implemented based on XR234Q electronic noses and ARM7 farmland precision irrigation system. Using electronic nose module to collect information of soil moisture, soil moisture probe information extraction and isolation of interference, moisture level judgment model is established, using the least squares fitting was carried out on the water, control of irrigation water, cooperate with ZIGBEE network remote transmission of information, in the case of water demand maximum saving irrigation water. Experimental results show that the proposed system has moisture capacity for independent judgment and water consumption calculation, quick and accurate irrigation task, compared to traditional systems, this article system soil entropy sentiment detection error rate within 5%, water conservation capacity increased by 35%, the application prospect.

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郭猛,闫洪亮.基于XR234Q电子鼻和嵌入式ARM7的农田精准灌溉系统设计计算机测量与控制[J].,2015,23(1):280-283.

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  • 在线发布日期: 2015-03-27
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