Automatic extraction technology of electronic drawing management information based on cloud platform
Electronic drawings are mainly stored in folders,which leads to the complexity of electronic drawing management and application,and restricts the development pace of electronic drawings.Therefore,the research on automatic extraction technology of electronic drawing management information based on cloud platform is proposed.Deeply analyze the content of electronic drawing management information,including title block information and detail table information,clearly segment the part of electronic drawing including management information in combination with the function of cloud platform,use Hough transform algorithm to detect and e-liminate table lines in management information,extract management information features,namely Gabor features and gradient fea-tures,and formulate the identification and extraction process of electronic drawing management information based on deep learning al-gorithm,The automatic extraction of electronic drawing management information can be realized by executing the process.The experi-mental data show that compared with the comparison technology,the maximum accuracy of electronic drawing segmentation obtained by the proposed technology is 90％,and the maximum integrity of electronic drawing management information extraction is 93.02％,which fully proves that the proposed technology has better performance of management information extraction.
万方数据
维普
