{"title":"Gpu并行在BIM模型轻量化中的应用","authors":"Bo Cai, Qinghua Zhou","doi":"10.1109/CISCE58541.2023.10142347","DOIUrl":null,"url":null,"abstract":"At present, the application demand of building information model in railway engineering project is more and more urgent, and the BIM model with jumbled data seriously restricts the use of BIM technology in practical application.For the processing and application of this big data model, this paper uses a parallel model processing algorithm based on GPU.Through the format conversion of the model and the design of GPU parallel algorithm, the method realizes the rapid and lightweight analysis and display of the large data model in the railway equipment room. The results show that this method can significantly reduce the volume of the large data model under the condition of realizing the universal format conversion.Compared with the mainstream surface reduction algorithm QEM, the GPU parallel algorithm has a multi-fold increase in the speed of analyzing 3D models.This is conducive to the development of the field of big data processing and promotes the practical application of BIM technology in the railway industry.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Gpu parallel in BIM model lightweight\",\"authors\":\"Bo Cai, Qinghua Zhou\",\"doi\":\"10.1109/CISCE58541.2023.10142347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At present, the application demand of building information model in railway engineering project is more and more urgent, and the BIM model with jumbled data seriously restricts the use of BIM technology in practical application.For the processing and application of this big data model, this paper uses a parallel model processing algorithm based on GPU.Through the format conversion of the model and the design of GPU parallel algorithm, the method realizes the rapid and lightweight analysis and display of the large data model in the railway equipment room. The results show that this method can significantly reduce the volume of the large data model under the condition of realizing the universal format conversion.Compared with the mainstream surface reduction algorithm QEM, the GPU parallel algorithm has a multi-fold increase in the speed of analyzing 3D models.This is conducive to the development of the field of big data processing and promotes the practical application of BIM technology in the railway industry.\",\"PeriodicalId\":145263,\"journal\":{\"name\":\"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISCE58541.2023.10142347\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISCE58541.2023.10142347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Gpu parallel in BIM model lightweight
At present, the application demand of building information model in railway engineering project is more and more urgent, and the BIM model with jumbled data seriously restricts the use of BIM technology in practical application.For the processing and application of this big data model, this paper uses a parallel model processing algorithm based on GPU.Through the format conversion of the model and the design of GPU parallel algorithm, the method realizes the rapid and lightweight analysis and display of the large data model in the railway equipment room. The results show that this method can significantly reduce the volume of the large data model under the condition of realizing the universal format conversion.Compared with the mainstream surface reduction algorithm QEM, the GPU parallel algorithm has a multi-fold increase in the speed of analyzing 3D models.This is conducive to the development of the field of big data processing and promotes the practical application of BIM technology in the railway industry.