Multi-modal data fusion method of electric energy meter verification system
By using multimodal data fusion technology, electrical, environmental, image, and communication data of electricity meters are collected, solving the problem that single-modal data cannot fully reflect the status of electricity meters. This enables accurate electricity meter verification and intelligent fault diagnosis, adapting to the verification needs of different brands of electricity meters.
Patent Information
- Application Number
- CN202510892341.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-30
- Publication Date
- 2025-10-21
AI Technical Summary
In existing technologies, the verification of electricity meters mainly relies on single-mode data, which cannot fully reflect the actual working state of the electricity meter, and has errors and uncertainties. Furthermore, there is a lack of comprehensive fusion and error correction methods for multi-mode data.
By collecting electrical parameters, environmental parameters, image information, and communication data, multimodal data fusion is performed, including data cleaning, normalization, feature extraction, and classifier training. Support vector machines and random forest classifiers are used for decision fusion, and a neural network fault diagnosis model is built to analyze the metering accuracy and fault types of electricity meters.
It achieves a comprehensive reflection of the working status of electricity meters, reduces errors caused by single-mode data, improves the accuracy of verification and fault diagnosis, adapts to the verification needs of different brands of electricity meters, and realizes the automation and intelligence of electricity meter verification.
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Abstract
Citation Information
Patent Citations
Multi-modal data fusion method of electric energy meter verification system
CN118839304A