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基于多传感器数据融合的温室温度采集
引用本文:张娟,陈杰,蔡振江.基于多传感器数据融合的温室温度采集[J].微计算机信息,2007,23(1S):153-154.
作者姓名:张娟  陈杰  蔡振江
作者单位:[1]北京理工大学信息科学与技术学院自动控制系,100081 [2]保定河北农业大学机电工程学院,071001
基金项目:教育部高等学校博士点基金资助项目(2003007034)
摘    要:温室具有空间大且温度场分布受多种参数影响大等特点。基于这些特点,本文提出了基于多传感器数据检测与数据融合技术的温室环境温度采集方法。在多传感器采集数据基础上,采用分布图法去除疏失误差,同时采用基于均值的递推估计融合的方法对采集的数据进行融合。仿真结果表明,采用这种方法可以提高温度采集的精度,同时有效地消除了由于传感器失效引起的误差。

关 键 词:温室环境温度  多传感器  数据融合  递推估计
文章编号:1008-0570(2007)01-1-0153-02
修稿时间:2006-08-242006-09-24

Greenhouse Temperature Collection Based on Multi-sensor Date Fusion Technology
ZHANG JUAN CHEN JIE CAI ZHENJIANG.Greenhouse Temperature Collection Based on Multi-sensor Date Fusion Technology[J].Control & Automation,2007,23(1S):153-154.
Authors:ZHANG JUAN CHEN JIE CAI ZHENJIANG
Affiliation:Dept.of Automatic Control,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081, China;2.Mechanical and Electric Engineering lnstitute,Hebei Agricultural University,Baodi,Hebei 071001,China
Abstract:The greenhouse has some characters as the space is large and the distributing of its temperature is effected by many surrounding environment parameters and so on, According to these characters, the system scheme based on multi-sensor detection and data fusion technology is proposed for green house temperature collection. The distributing chart is used for wiping off the careless error and the fusion method based on meaning value and recursive filtering algorithm is used to filter the collected data by the multi-sensor. The results show that the precision of the collected data is improved, the careless error is eliminated effectively and the system error is reduced efficiently.
Keywords:Green house temperature  multi-sensor  date fusion  recursive estimate
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