河北工业科技2023，Vol.40Issue(6)：478-486,9.DOI:10.7535/hbgykj.2023yx06010
数字化交付模型数据整合路径探讨及优化
Exploration and optimization of model data integration path for digital delivery
摘要
Abstract
In order to expand the scope of acceptable modeling data,decrease the entry threshold of bidders,and improve the feasibility of digital factory demonstration project,a gasification gas project was taken as the research object to explore the integration path of digital delivery of 3D data.On the basis of summarizing the integration elements,key nodes,and main tools of the model data types involved in the project,the optimization direction and steps in the integration implementation path were formulated,and the improvement and optimization scheme were proposed based on typical problems.The results indicate that:1)Nearly ten mainstream software platform,including PDMS,Revit,SolidWorks,CADWorx,3DS MAX,etc.have been integrated on the AVEVANE platform,laying a foundation for the digital delivery of the project;2)After expanding the path of 3D data integration,the data integrity of this project model will be increased from 70％ to more than 95％,the PDMS copy molding work of a large number of suppliers and some design units will be reduced greatly,and the digital delivery level and platform compatibility of the designing institute are effectively improved;3)Accurately using various plug-ins and interfaces,flexibly using two-dimensional conversion tools and other measures can effectively solve a large number of problems and improve integration efficiency.The research results can provide solutions and ideas for the integration optimization of 3D data of digital delivery,and provide technical support for digital delivery and smart factory construction.关键词
计算机辅助设计/数字化交付/AVEVA AIM平台/模型数据整合/智能工厂/优化改进Key words
computer aided design/digital delivery/AVEVA AIM platform/model data integration/smart factory/improvement and optimization分类
信息技术与安全科学引用本文复制引用
孙冠华,贺永金,缪云,张泽果,孙建斌..数字化交付模型数据整合路径探讨及优化[J].河北工业科技,2023,40(6):478-486,9.基金项目
航天长征化学工程股份有限公司2022年度技术开发项目(2022-JK-004) （2022-JK-004）
