基于图像特征提取的工程数据预测与校核分析技术OA

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.