温室控制系统多传感器数据融合方法的设计

Design of Multi-sensor Data Fusion Algorithm of Greenhouse Control System

为了减少温室控制系统中的数据处理量,提出了一种温室控制系统多传感器数据融合方法。采用狄克逊准则对采集节点多点测温将采集到的每组数据进行较大误差剔除,然后基于算数平均值法对余下数据融合处理后发送到协调器节点,最后采用自适应加权融合算法对协调器节点数据进行最终融合处理。结果表明,该方法相比其他算法更能反映温室真实环境状况,融合效果更好,使控制系统更稳定。

In order to reduce the data volume of greenhouse control system, a multi-sensor data fusion algorithm is proposed.Use Dixon guidelines to exclude the negligent errors in the measurement data collected by the acquisition node, then fusion process the rest data based on the arithmetic average method and sent the result to coordinate node, lastly the data is fused using adaptive weighted fusion algorithm. The results showed that this method responds the real environment conditions of greenhouse better than other methods, has a better fusion effect and makes the system stronger.