基于数据中台的多源数据融合关键技术研究

Research on key technologies of multi⁃source data fusion based on data center

目前研究的多源数据融合关键技术可信度分配数值与峰值相差较大,导致融合后的数据冲突程度过高,融合效果难以达到人们的要求。为了解决上述问题,基于数据中台研究了一种新的多源数据融合技术。对多源数据的融合层次进行划分,根据划分结果建立融合模型。应用数据中台的数据技术、治理和运营来实现数据赋能,建立有效的框架体系中心,利用数据框架体系中心分析数据资料,处理多源数据,实现数据的匹配与转换,最终表达数据的模式。实验结果表明,所研究的多源数据融合关键技术可信度分配数值为0.5,融合过程中数据源相似性较高,融合效果较好。

There is a big difference between the reliability distribution value and the peak value of the key technology of multi-source data fusion,which leads to a high degree of data conflict after fusion,and the fusion effect is difficult to meet people’s requirements.In order to solve the above problems,a new multi-source data fusion technology based on data center is studied.The fusion level of multi-source data is divided and the fusion model is established according to the results.Apply data technology,governance and operation of data center to realize data empowerment,establish an effective framework system center,use data framework system center to analyze data,process multi-source data,realize data matching and transformation,and finally express data pattern.The experimental results show that the reliability assignment value of the key technology of multi-source data fusion is 0.5,and the data source similarity is high in the fusion process,and the fusion effect is good.