电力系统的文本数据集质量评估方法、装置和计算机设备
By performing text segmentation and feature analysis on power system text datasets, distinguishing between non-isolated and isolated samples, calculating homogeneous coverage index and information overlap index, and selecting validation sets and corpora, the artificial intelligence model of the power system is fine-tuned and validated. This solves the problem that the evaluation results in existing technologies cannot truly reflect the actual power scenario, and achieves efficient text dataset quality assessment.
CN122064994BActive Publication Date: 2026-07-17CHINA SOUTHERN POWER GRID ARTIFICIAL INTELLIGENCE TECHNOLOGY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA SOUTHERN POWER GRID ARTIFICIAL INTELLIGENCE TECHNOLOGY CO LTD
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-17
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Figure CN122064994B_ABST
Abstract
本申请涉及一种电力系统的文本数据集质量评估方法、装置和计算机设备。所述方法包括：获取电力系统的文本数据集，对文本数据集进行文本切割得到独立样本，并在多个独立样本中区分出非孤立样本和孤立样本；提取每个非孤立样本的样本特征，对样本特征进行特征同质分析得到同质覆盖指数；对于每个非孤立样本，基于当前的非孤立样本的样本信息与每个其他独立样本的样本信息得到信息重叠指数；基于每个非孤立样本的同质覆盖指数和信息重叠指数筛选出验证集，将孤立样本和剩余非孤立样本作为语料集；通过语料集和验证集对电力系统人工智能模型依次进行微调处理和验证，得到用于反映文本数据集的质量验证结果。采用本方法能够评估电力系统的文本数据集。
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