大数据时代的到来,要求我们需要使用更加有效的数据处理方式,但实际应用中获得大量数据相当一部分是冗余和无效的,这些数据在网络中传输和处理会极大降低效率,数据融合技术是比较理想的解决办法。物联网与互联网结合起来形成了一个巨大信息网络系统,在这个系统中,有大量感知数据,需要选取适当的融合模式、处理算法进行综合分析,才能提高数据质量,获得最佳决策和完成评估,这些工作的完成需要使用数据融合技 The advent of the big data era requires that we need to use more efficient data processing methods. However, in practice, a considerable amount of large amounts of data are redundant and ineffective. Data transmission and processing in the network will greatly reduce the efficiency. Data fusion technologies Is the ideal solution. Internet of things and the Internet combine to form a huge information network system. In this system, there are a lot of perceptual data, need to select the appropriate fusion mode, comprehensive analysis of algorithms to improve data quality, access to the best decisions and to complete the assessment, The completion of these tasks requires the use of data fusion technology