DSAD——建筑策划的一种有效方法与支持工具

Data Science Aided Design:An Effective Method and Supporting Tool for Architectural Programming

数据科学辅助设计(DSAD)是在数据科学的最新发展推动下,信息学与系统论应用在设计相关领域的方法及配套工具。大数据技术的广泛渗透,为跨领域交叉、多专业渗透、目标复合多样的城乡规划建设领域提供了新研究方式的可能性。建筑策划尤其具有综合性和复杂性的典型特征,数据科学对策划研究有天然的支持性。DSAD包括信息获取、数据化、数据清洗、知识建立、知识应用等一系列过程。IGS是DSAD中知识表达、系统建立、学习应用的工具,由多义对象和多义关联构成。DSAD可作为建筑策划的有效方法与支持工具,用来实现记录信息、发现规律、分析、评价、预测、验证等各种功能,并可和各学科的已有知识体系全面融合,架构具有广泛适用性的工作平台。

Data Science Aided Design （DASD） is a set of methodology and corresponding tools for design and its relevant works. It has come out of the latest development of data science and technology, and incorporated information science and systematology into design practice and research. The theory and methods of the big data can introduce to designers and planners a new way to do urban/rura~ p^anning and programming where a thorough cross-discip^inar＇J work and mu^ti-functiona~ cooperation with integrated aims can be achieved. Architectural Programming demonstrates high level of integrity and complexity by its nature, and data science provides strong support to architectural programming studies. DSAD includes a system of design and study procedures that consist of information acquisition, datalization of the information, data cleansing, knowledge formation process, knowledge application, etc. Info-Graph System is a tool for knowledge presentation, system establishment, learning and application. IGS is made up of object nodes and connection lines, each of singular or multiple dimensional meanings and definitions. Being an effective realization method and supporting tool for architectural programming, DSAD can be applied in data recording, pattern discovering, analysis, evaluation, prediction, testing and etc. Further, by integrating knowledge from different disciplinary studies, an open working platform can be constructed in DSAD implementations.