A fusion framework and method are proposed in this study to address the challenges of data redundancy,inconsistency,and indexing difficulties caused by the heterogeneity of multi-source data in the entire lifecycle of complex equipment.The framework includes three steps:top-down data schema fusion,bottom-up data entity schema generation,and dynamic fusion of the entire lifecycle data layer.With the establishment of a top-level data schema,generating data entity schemas and configuring rules for primary key transformation and data object attribute completion,the dynamic fusion of the entire lifecycle data layer is achieved.Engineering practices prove that the proposed method is effective in handling the heterogeneity of multi-source data in the entire lifecycle of complex equipment and optimizing the data fusion process.
关键词
复杂装备/全生命周期/融合框架/模式融合/数据融合
Key words
complex equipment/full life cycle/fusion framework/pattern fusion/data fusion
维普
万方数据