摘要
由于温室空间大且温度分布受多种因素影响等特点,提出了一种多传感器数据融合技术的温度检测系统。并进一步采用格罗布斯准则消除粗大误差,并运用基于均值的递推融合算法对采集的数据进行处理。结果表明,采用这种方法可以有效的消除由于传感器失效引起的误差。
Temperature distribution in large green house is influenced by many kinds of environmental factors .It is difficult to detect the temperature value. A temperature detection system based on multi-sensor data fusion technology is proposed. The principle of Grubbs is used to eliminate the careless mistake data. In particular,the fusion method based on meaning value and recursive filtering algorithm is used to process the sampled data. The results show that the error caused by the invalidation of sensor can be reduced efficiently.
出处
《机械设计与制造》
北大核心
2009年第4期103-104,共2页
Machinery Design & Manufacture
关键词
温度检测
多传感器
数据融合
递推算法
Temperature detection
Multi-sensor
Data fusion
Recursive algorithm
