现代电子技术2026，Vol.49Issue(10)：1-6,15,7.DOI:10.16652/j.issn.1004-373x.2026.10.001
基于图像特征提取的工程数据预测与校核分析技术
Engineering data prediction and verification analysis technology based on image feature extraction
摘要
Abstract
Under the background of increasing complexity of power engineering projects,the accurate prediction and verification of massive data are of great significance to power engineering management and decision-making.Therefore,a power engineering data prediction and verification analysis technology based on the combination of image feature extraction and logical association analysis technology is proposed.Based on the structure of the data acquisition platform,the image feature extraction technology is used to deeply extract multimodal features from power engineering data,so as to accomplish the effective recognition and extraction of key features in the data.The logical association analysis technology is used to mine potential laws,thus realizing the optimization of data prediction and data verification.The comprehensive data set of power engineering cost is taken as the sample for experimental testing.The results show that the accuracy of data prediction of the proposed technology can reach 99.9%,and the efficiency is 99.8%,which effectively improves the accuracy,rapidity and reliability of power engineering information prediction.关键词
电力工程/图像特征提取/逻辑关联分析/数据预测/校核分析/多模态数据Key words
power engineering/image feature extraction/logical correlation analysis/data prediction/verification analysis/multimodal data分类
信息技术与安全科学引用本文复制引用
王冬超,周波,亓彦珣,赵运广,陈志宾..基于图像特征提取的工程数据预测与校核分析技术[J].现代电子技术,2026,49(10):1-6,15,7.基金项目
国家重点研发计划资助项目(2023YFE0119800) （2023YFE0119800）
国网河北省电力有限公司科技项目(5204JY240006) （5204JY240006）
国网河北省电力有限公司2024年科技成本项目(B604JY240068) （B604JY240068）
