Multi source Heterogeneous Information Fusion of Power Assets Based on Knowledge Graph
The effective integration of power assets information plays an important role in the life cycle management of power assets. However, The multi source heterogeneity of power data makes it inefficient and limited applied under traditional data fusion technology. This paper introduces knowledge graph technology to realize the integration of depth, accuracy, efficiency and visualization of power assets information, and lays the foundation for data value mining. Aiming at "flattening operation and efficient utilization of power assets information" this study proposes a general process of building professional knowledge graph in power field, and proposes a multi source heterogeneous information fusion method for power assets based on knowledge fusion. As a case, the transformer information in power transmission and transformation assets in some areas of Hubei Province is selected to quantify the alignment quality and redundancy of entities after knowledge fusion, and the relationship between indicators and thresholds is analyzed to obtain a relatively optimal threshold setting interval.
2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)