Risk assessment method and device, computer equipment, storage medium and computer program product
CN121458044APending Publication Date: 2026-02-03GUIZHOU POWER GRID CO LTD +1
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Patent Information
- Application Number
- CN202511546052.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-28
- Publication Date
- 2026-02-03
AI Technical Summary
Technical Problem
Traditional risk assessment methods use a single model architecture, which makes it difficult to fully capture the nonlinear relationships between multimodal data, resulting in low accuracy in risk assessment.
Method used
Multimodal information is input into multiple pre-trained risk prediction models to stack the information, construct an enhanced data representation, and use a meta-learner for risk assessment to dynamically respond to changes in data characteristics of the target region.
Benefits of technology
It significantly improves the accuracy of risk assessment results in complex scenarios, avoids the limitations of a single model in multimodal data fusion and the problem of semantic information loss, and improves the model's adaptability.
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Figure CN121458044A_ABST
Abstract
The invention relates to a risk assessment method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring multi-modal information collected for a target area; taking the multi-modal information as input of a plurality of pre-trained risk prediction models to obtain a plurality of pieces of prediction output information; performing information stacking on each piece of prediction output information and the multi-modal information to obtain stacked information; and taking the stacking information as input of a pre-trained meta-learner to obtain a risk assessment result for the target region. By adopting the method, the risk assessment accuracy can be improved.
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