Self-describing semantic data management method supporting panoramic information monitoring of substations
By expanding OWL's syntax and combining machine learning algorithms, semantic ontology modeling of the panoramic information of the substation has been solved, and the problem that the existing technology cannot effectively describe the panoramic information of the substation has been realized. It has effectively described and monitored the association between time series data and ontology instances, providing a complete solution for higher-order semantic applications.
Patent Information
- Application Number
- CN202310302178.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-03-24
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2043-03-24
AI Technical Summary
The prior art cannot effectively provide complete technical support for the panoramic information of the substation from the semantic level, especially in the correlation between time series data and ontological instances.
By expanding the syntax of the network ontology language OWL, adding attribute descriptions of object properties, and combining machine learning algorithms to model the panoramic information of the substation to provide self-described semantic data management services.
It realizes delicate and comprehensive description of the panoramic information of the substation, enhances the ability to describe the knowledge graph, supports the data monitoring of panoramic information of the substation, and provides complete data processing, ontology modeling and knowledge extraction solutions for advanced semantic applications.