基于多传感器数据融合的温室温度采集

Greenhouse Temperature Collection Based on Multi-sensor Date Fusion Technology

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。

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.