一种新的物联网传感器数据融合方法  

A New Data Fusion Method for IoT Sensors

作　　者：王均 Wang Jun(NARI Technology Development Co.,Ltd.,Nanjing 211106,China)

机构地区：[1]国电南瑞科技股份有限公司,南京211106

出　　处：《单片机与嵌入式系统应用》2022年第3期41-45,共5页Microcontrollers & Embedded Systems

摘　　要：针对现有技术中各种异构网络或多系统之间的数据融合难、网络利用效率低下等问题,本文研究了一种新的物联网传感器数据融合方法,设计了基于物联网传感器数据融合系统。该系统包括物联网结构层、传感器输出信号的预处理部分和信号分析处理部分,采用ADuC812单片机实现了海量数据的处理,并通过多种无线通信技术进行数据传输,通过物联网应用层可以实现人机交互。通过实验,本研究方案数据融合效果明显处于优势,并且数据分布情况呈随机性,提高了数据差异化融合能力。Aiming at the data fusion problem between various heterogeneous networks or multiple systems,this paper studies a new IoT sensor data fusion method,and designs a data fusion system based on the IoT sensor,including the IoT structure layer and sensor output signal.The preprocessing part and signal analysis and processing part adopt the ADuC812 single-chip microcomputer to realize the processing of massive data,and the data is transmitted through a variety of wireless communication technologies,and human-computer interaction can be realized through the application layer of the Internet of Things.The experiment results show that the data fusion effect of this research is obviously superior,and the data distribution is random,which can differentiate the data fusion.

关 键 词：物联网 传感器 数据融合 卡尔曼滤波算法 ADUC812 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]