基于图像特征提取的工程数据预测与校核分析技术
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DOI：10.16652/j.issn.1004-373x.2026.10.001
（1.华中科技大学电气与电子工程学院，湖北武汉430074；2.河北省电力有限公司经济技术研究院，河北石家庄050001；3.华北电力大学能源动力与机械工程学院，北京102206；4.华北电力大学新能源电力系统国家重点实验室，河北保定071003；5.河北赛克普泰计算机咨询服务有限公司，河北石家庄050081）
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
中图分类号：TN911.73-34
文献标识码：A
文章编号：1004-373X（2026）10-0001-06
Engineering data prediction and verification analysis technology based on image feature extraction
Wang Dongchao 1，2 ， Zhou Bo 2，3 ， Qi Yanxun 2，4 ， Zhao Yunguang 5 ， Chen Zhibin 5
（1. School of Electrical and Electronic Engineering， Huazhong University of Science and Technology， Wuhan 430074， China;
2. Economic and Technological Research Institute， State Grid Hebei Electric Power Co.， Ltd.， Shijiazhuang 050001， China;
4. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources， North China Electric Power University， Baoding 071003， China; 5. Hebei Saike Putai Computer Consulting Service Co.， Ltd.， Shijiazhuang 050081， China）
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.
Keywords： power engineering; image feature extraction; logical correlation analysis; data prediction; verification analysis; multimodal data
0 引言
在电力行业快速发展的时代背景下，电力工程项目呈现出系统性、复杂化的特点，与之相关的工程图纸、材料信息以及规范要求等多模态数据量也出现了爆炸式增长。（剩余7410字）