温室无线传感器网络系统实时数据融合算法

针对温室无线传感器网络(WSN)系统的数据融合要求,提出一种多传感器实时数据融合算法。首先在节点上对各传感器数据序列进行一致性检测和三次指数平滑,然后将平滑后的数据发送到路由器或网关,基于文中提出的无需指数运算的新型支持度函数进行幂均方融合。在江苏农博园现代农业馆玻璃温室中进行了实地试验测试,结果表明:三次指数平滑能够明显减少数据波动;新型支持度函数的幂均方融合精度与高斯型支持度函数相比无显著差异,算法运算时间缩短83.6%,并且融合效果优于算术平均法。

Algorithm of real time data fusion for greenhouse WSN system

In order to meet the request of data fusion for greenhouse wireless sensor networks (WSN) system, an algorithm of multi-sensors data fusion in real-time was put forward. First, sensor data sequence was checked for consistency and then exponentially smoothed three times on sensor nodes; Then, the smoothed data was sent to the router or gateway, fusion by a power mean square, which works based on the proposed new-model support function without operating exponent in this paper. Algorithm was tested in the glass greenhouse of Jiangsu Agriculture Expo Garden, experimental results showed that cubic exponential smoothing can significantly reduce data volatility; data fusion precision of new-model support function and Gaussian support function had no significant difference, while actual running time of new algorithm was less 83.6% than the latter, and the fusion effect was better than the arithmetic average operator.