多模态数据在建筑和城市规划领域的生成设计方法应用

А.А Laushkina, Oleg O. Basov
{"title":"多模态数据在建筑和城市规划领域的生成设计方法应用","authors":"А.А Laushkina, Oleg O. Basov","doi":"10.18413/2518-1092-2021-6-3-0-1","DOIUrl":null,"url":null,"abstract":"This paper is devoted to the study of generative modeling in design used: this is an iterative process that generates several output data with consideration to certain restrictions of the input parameters. Generative design can offer advantages to traditional design as specifically defined criteria are taken into account early as the conceptual design stage. The purpose of the work was to study the existing methods and algorithms of generative design in urban planning, taking into account changes in environmental characteristics. The first step was to determine the input data for the design of the urban structure. The second stage was the analysis of existing solutions. In conclusion, it was The conclusion was made about the various constraints faced by developers, namely: the requirement to make changes in the user mode imposes restrictions on the use of such systems. It is also established that at the moment there is no clear logic by which generative systems can identify contradictions in a set of multimodal data and make a decision on the correspondence of the obtained result to dynamically changing parameters.","PeriodicalId":424277,"journal":{"name":"Research Result Information Technologies","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of generative design methods using multimodal data in the field of architecture and urban planning\",\"authors\":\"А.А Laushkina, Oleg O. Basov\",\"doi\":\"10.18413/2518-1092-2021-6-3-0-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is devoted to the study of generative modeling in design used: this is an iterative process that generates several output data with consideration to certain restrictions of the input parameters. Generative design can offer advantages to traditional design as specifically defined criteria are taken into account early as the conceptual design stage. The purpose of the work was to study the existing methods and algorithms of generative design in urban planning, taking into account changes in environmental characteristics. The first step was to determine the input data for the design of the urban structure. The second stage was the analysis of existing solutions. In conclusion, it was The conclusion was made about the various constraints faced by developers, namely: the requirement to make changes in the user mode imposes restrictions on the use of such systems. It is also established that at the moment there is no clear logic by which generative systems can identify contradictions in a set of multimodal data and make a decision on the correspondence of the obtained result to dynamically changing parameters.\",\"PeriodicalId\":424277,\"journal\":{\"name\":\"Research Result Information Technologies\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research Result Information Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18413/2518-1092-2021-6-3-0-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Result Information Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18413/2518-1092-2021-6-3-0-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文致力于研究设计中使用的生成建模:这是一个迭代过程,在考虑输入参数的某些限制的情况下生成多个输出数据。生成式设计可以提供传统设计的优势,因为在概念设计阶段就考虑了明确定义的标准。这项工作的目的是研究城市规划中现有的生成设计方法和算法,同时考虑到环境特征的变化。第一步是确定城市结构设计的输入数据。第二阶段是分析现有的解决方案。结论是关于开发人员所面临的各种约束,即:改变用户模式的要求对这些系统的使用施加了限制。同时,生成系统目前还没有明确的逻辑来识别一组多模态数据中的矛盾,并根据得到的结果与动态变化的参数的对应关系做出决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of generative design methods using multimodal data in the field of architecture and urban planning
This paper is devoted to the study of generative modeling in design used: this is an iterative process that generates several output data with consideration to certain restrictions of the input parameters. Generative design can offer advantages to traditional design as specifically defined criteria are taken into account early as the conceptual design stage. The purpose of the work was to study the existing methods and algorithms of generative design in urban planning, taking into account changes in environmental characteristics. The first step was to determine the input data for the design of the urban structure. The second stage was the analysis of existing solutions. In conclusion, it was The conclusion was made about the various constraints faced by developers, namely: the requirement to make changes in the user mode imposes restrictions on the use of such systems. It is also established that at the moment there is no clear logic by which generative systems can identify contradictions in a set of multimodal data and make a decision on the correspondence of the obtained result to dynamically changing parameters.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信