Application of Design Data Analytics in Computational Design of Built Environments

设计数据分析在建筑环境计算设计中的应用

• 批准号: RGPIN-2022-03108
• 负责人: Erhan, Halil
• 金额: $ 1.89万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=757651
• 关键词: Application; Design; Data; Analytics; Computational

Designers explore multiple design alternatives. They begin with incomplete, imprecise, and changing design goals, and they distill complex emerging design data into meaningful and pragmatic design ideas for finding 'satisficing' solutions. Here, we use 'design data to refer to any input provided by the external agents to be considered in design-decision making or any output data generated in the process and provided as input back to the design. Current design systems lack support for data-informed design exploration: first, they only support a single-state model, forcing designers to work sequentially. Second, they lack features for dealing with large, diverse, dynamic volumes of design data that grow rapidly as alternatives are explored. These drawbacks are interrelated and must be addressed holistically by improved systems to better support working with alternatives. Thus, this proposal addresses the need for devising new computational design tools and workflows for working with alternatives. This need is more emphasized when large volumes of alternatives become an integral part of design exploration. We propose developing novel computational systems to directly support data-informed design exploration by adapting the state-of-art methods from other related disciplines such as visual analytics. We will test and validate our solutions in the context of designing built environments and products. My long-term goal is to develop a methodology for working effectively with alternatives. The mid-term objectives are: (1) develop computational methods for searching large collections of design alternatives assisted by making use of emerging design data; (2) to identify types and sources of data and explore visual data analysis tools that designers can use; (3) develop workflows for data-informed exploration of alternatives. My approach is built on design-based research where the prototype systems and experimental studies incrementally and iteratively reveal new necessary tool features and use cases. In the experiment phase, the prototypes will be used to generate knowledge about the possibilities for novel design exploration systems and data-informed workflows. As an applied research program, this aims to contribute to a deeper understanding of and practical solutions for improved computational design environments. Good design is everywhere a gateway to success and a key component of innovation. With her service-focused economy, Canada can take a strong lead in changing design practice by creating new computational technologies and demonstrating how these technologies can effectively improve outcomes. Although Canada's national competitiveness is high, its design competitiveness in the global market is not at the levels we expect to see. The first step for improving this imbalance is better computational methods in creative industries, including designing built environments.

设计师探索多种设计方案。它们从不完整、不精确和不断变化的设计目标开始，它们将复杂的新兴设计数据提炼成有意义和实用的设计想法，以找到“令人满意的”解决方案。这里，我们使用‘设计数据’来指代由外部代理提供的、在设计决策制定中考虑的任何输入，或在该过程中生成并作为输入提供回设计的任何输出数据。目前的设计系统缺乏对数据信息设计探索的支持：首先，它们只支持单一状态模型，迫使设计人员按顺序工作。其次，它们缺乏处理大量、多样、动态的设计数据的功能，而这些数据随着替代方案的探索而迅速增长。这些缺点是相互关联的，必须通过改进的系统从整体上加以解决，以更好地支持替代方案的工作。因此，本提案涉及设计新的计算设计工具和工作流程以处理替代方案的需要。当大量的替代方案成为设计探索不可或缺的一部分时，这种需求就更加突出。我们建议开发新的计算系统，通过采用其他相关学科的最新方法，如视觉分析，直接支持数据信息设计探索。我们将在设计构建环境和产品的背景下测试和验证我们的解决方案。我的长期目标是开发一种有效使用替代方案的方法。中期目标是：(1)开发利用新出现的设计数据辅助搜索大量设计备选方案的计算方法；(2)确定数据的类型和来源，探索设计者可以使用的可视化数据分析工具；(3)开发工作流程，以了解备选方案的数据情况。我的方法建立在基于设计的研究的基础上，其中原型系统和实验研究以增量和迭代的方式揭示新的必要工具特性和用例。在实验阶段，原型将被用来产生关于新设计探索系统和数据信息型工作流程的可能性的知识。作为一项应用研究计划，该计划旨在帮助更深入地理解和实践改进计算设计环境的解决方案。好的设计无处不在，是通向成功的大门，也是创新的关键组成部分。凭借其以服务为重点的经济，加拿大可以通过创造新的计算技术并展示这些技术如何有效地改善结果，在改变设计实践方面发挥强大的带头作用。虽然加拿大的国家竞争力很高，但它在全球市场上的设计竞争力并没有达到我们预期的水平。改善这种失衡的第一步是在创意产业中采用更好的计算方法，包括设计建筑环境。