A method, system, device, and medium for scheduling and updating
By using multimodal data fusion and knowledge graph-driven intelligent verification, the problem of multimodal command conflict detection in power dispatching has been solved, thereby improving power grid security and dispatching accuracy.
CN122432974APending Publication Date: 2026-07-21POWER DISPATCHING CONTROL CENT OF GUANGDONG POWER GRID CO LTD
View PDF 0 Cites 0 Cited by
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- POWER DISPATCHING CONTROL CENT OF GUANGDONG POWER GRID CO LTD
- Filing Date
- 2026-04-21
- Publication Date
- 2026-07-21
AI Technical Summary
Technical Problem
Existing technologies cannot effectively detect potential conflicts between dispatching instructions of different modes at the same time, which may cause power equipment to receive conflicting operating commands, endangering grid security and dispatching effectiveness.
Method used
By acquiring multimodal instruction data, performing feature fusion and time alignment, utilizing knowledge graphs for logical conflict detection, combining rule bases for verification, and updating the system through transfer learning, a fully intelligent processing system is constructed.
Benefits of technology
It significantly improves the accuracy, security, and adaptability of power dispatching operations, ensuring intelligent dispatching decisions in complex power grid environments.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122432974A_ABST
Abstract
The application discloses a kind of scheduling and updating method, system, equipment and medium, belong to electric power dispatching technical field, the method is: obtaining the multimodal feature corresponding to the multimodal data in electric power dispatching process, obtains target semantic feature by feature fusion to multimodal feature, and obtains structured operation instruction by analyzing target semantic feature;Operation instruction and knowledge graph are matched to obtain conflict detection result;Determine the verification scheme according to the conflict detection result, and obtain the verification result according to the verification scheme by matching target semantic feature with preset rule base;If verification is passed, execute operation instruction, and obtain actual data in execution process, analyze the deviation between actual data and target data to obtain deviation data, update knowledge graph and rule base according to execution deviation data, therefore, by implementing the application, it can realize to improve scheduling accuracy and power grid safety.
Need to check novelty before this filing date? Find Prior Art