Method for constructing multi-source heterogeneous data knowledge graph of power distribution network
By building a knowledge map of multi-source heterogeneous data in the distribution network, the complexity of the integration and processing of multi-source heterogeneous data in the distribution network is solved, and efficient management and intelligent decision-making support for the distribution network are achieved.
Patent Information
- Application Number
- PCT/CN2024/106272
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-09-15
- Filing Date
- 2024-07-18
- Publication Date
- 2025-03-20
AI Technical Summary
The existence of multi-source heterogeneous data in the distribution network complicates the comprehensive analysis and decision-making of the distribution network, and requires effective integration and processing of this data to extract valuable information and knowledge.
By constructing a multi-source heterogeneous data knowledge graph for distribution networks, the top-down method is used to summarize and analyze the knowledge content system framework of the transmission network, define entity types, attribute types and entity relationships, build a knowledge organization framework, and form a complete knowledge graph through multi-source heterogeneous data fusion, data preprocessing, knowledge extraction, knowledge fusion and knowledge storage and update.
It realizes efficient integration and management of multi-source heterogeneous data in the distribution network, providing more comprehensive, accurate and intelligent support for the operation and management of the distribution network, and can automatically detect metered abnormal data, improve data processing efficiency, and optimize decision-making support.