Power transmission and distribution operation interaction response method and device
By extracting and preprocessing text and image features in power transmission and distribution systems to generate joint semantic features, and analyzing user intent and contextual state, the problem of inaccurate response in existing technologies is solved, and the efficiency and accuracy of operation and maintenance decisions are improved.
Patent Information
- Application Number
- CN202610487397.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing power transmission and distribution interaction systems are insufficient in terms of the accuracy of response results, which affects the efficiency of operation and maintenance decision-making and may cause safety hazards. They lack an effective multimodal feature fusion mechanism and cannot accurately capture the semantic relationship between images and text, resulting in inaccurate responses.
By extracting text content and image files from power transmission and distribution operation and maintenance scenarios, standard features are generated after preprocessing. Combined with joint semantic feature analysis, user intent tags and contextual state features are determined, generating accurate interactive response text and visually displaying the response results, thereby improving the system's ability to understand multimodal inputs.
It significantly improves the interaction quality and decision-making efficiency in power transmission and distribution operation and maintenance scenarios, ensures that the response content is relevant to the operation and maintenance scenario, avoids information gaps and repeated inquiries, improves the efficiency and accuracy of information transmission, and provides intuitive technical support for operation and maintenance decisions.
Smart Images
Figure CN122415475A_ABST