| 基于卡尔曼滤波数据融合的温室监控系统 |
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| 引用本文： | 蔡小庆,鲁小利,张伟娟,李昆. 基于卡尔曼滤波数据融合的温室监控系统[J]. 电子测试, 2016, 0(6): 59-60. DOI: 10.3969/j.issn.1000-8519.2016.06.030 |
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| 作者姓名： | 蔡小庆 鲁小利 张伟娟 李昆 |
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| 作者单位： | 燕京理工学院信息科学与技术学院,河北廊坊,065201 |
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| 基金项目： | 2014012008廊坊市科技支撑项目 |
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| 摘 要： | 为实现温室农作物生长数据的实时采集和监测,设计了基于多传感器的无线监控系统.系统介绍了卡尔曼滤波的数据融合算法的实现及仿真,结果表明,卡尔曼滤波算法可以有效降低采样点数,提高传感器测量精度,耗能低,实时性好.农户通过上位机就能实时掌握草莓生长环境信息,利用融合后的数据控制执行机构进行相关操作,从而达到高产的目的.
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| 关 键 词： | 监测系统 卡尔曼滤波 数据融合 耗能低 |
Greenhouse Monitoring System Based on Kalman Filter |
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| Abstract: | In orderto realize the real-time collection and monitoring of greenhouse crop growth data, design a wireless monitoring system based on multi sensor.The system introduces the implementation and simulation,Calman filter data fusion algorithm.The results show that the Calman filter algorithm can effectively reduce the number of sampling points,improve the measurement accuracy,low energy consumption, good real-time performance.Through the host computer,the farmers can master the information of the growth environment of strawberry in real time,and then use the data to control the operation of the data to achieve the purpose of high yield. |
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| Keywords: | monitoring system Calman filter data fusion low energy consumption |
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