基于物联网技术的网络异构传感数据融合方法

Network Heterogeneous Sensor Data Fusion Method Based on Internet of Things Technology

融合网络异构数据时,现有融合方法存在融合精度低和融合时间长问题,因此引入物联网技术,提出一种新的融合方法。首先,引入小波变换的方法,过滤网络异构传感器数据噪声;其次,利用物联网技术,对物联网簇内数据聚类;最后,通过最小二乘法运算,实现汇聚网络异构传感器数据融合。实验结果证明,新的融合方法可有效提高融合结果的精度,缩短融合时间,提升融合效率,与现有融合方法相比具备更高的实际应用价值。

Aiming at the problems of low fusion accuracy and long fusion time when the existing fusion methods fuse the network heterogeneous data,a new fusion method is proposed by introducing the Internet of Things technology.Firstly,wavelet transform is introduced to filter the noise of network heterogeneous sensor data.Secondly,cluster the data in the cluster of the Internet of Things using the technology of the Internet of Things.Finally,the data fusion of heterogeneous sensors in the converged network is realized through the least square algorithm.The experimental results show that the new fusion method can effectively improve the accuracy of fusion results,and on this basis,it can shorten the fusion time and promote the improvement of fusion efficiency,which has higher practical application value compared with the existing fusion methods.