Power supply station business intelligent management method and device based on multi-modal knowledge graph
By constructing a multimodal knowledge graph, collecting power supply station business data for ontology modeling and knowledge fusion, and extracting implicit relationships, the problem of intelligent management of cross-departmental and cross-professional data in power supply station business management is solved, and the efficiency of data retrieval and correlation analysis is improved.
Patent Information
- Application Number
- CN202610529207.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack unified ontology modeling and knowledge fusion methods for heterogeneous business data across departments and professions in power supply station business management. This makes it impossible to effectively extract implicit relationships between business data, resulting in low levels of intelligent management and insufficient efficiency in data retrieval and correlation analysis.
A multimodal knowledge graph construction method is adopted. By collecting business data from various business systems of the power supply station, ontology modeling, knowledge extraction and knowledge fusion are performed to construct a domain multimodal knowledge graph. Based on this graph, feature learning is performed to extract implicit relationships, and a heuristic mechanism is used to recommend related data fields.
It has enabled unified representation and association of cross-departmental and cross-professional business data, improved data retrieval efficiency and correlation analysis capabilities, lowered the technical threshold, and promoted the development of power supply station business management from digitalization to intelligence.
Smart Images
Figure CN122412604A_ABST