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It is possible to embody in the model the knowledge that the airflow may assume one of the three patterns displayed in figure 7, varying the position of the jalousie window sashes showed in the section ‘d’ of figure. The different patterns considerably influence comfort and air quality in the different locations of the room, that is the configuration ‘a’ produces a significant recirculation of air showed in figure, while the pattern ‘b’ is characterized by high air velocity in the centre location of the room (because of the narrow airflow path which is limited by the vortex). By using such a network also an unskilled designer could address detailed decision about these fluid dynamic issues in the preliminary stage of design. For instance, he could explain a computational result that appears like the condition ‘a’, by means of an incorrect air insertion through the inlet (i.e. related to the trees located near the building that modify the airflow direction) and address the design modification by placing sashes of type ‘c’ in front of inlet. Moreover when the situation ‘b’ is recognised he could improve the ventilation behaviour of building simply placing a low hedge as showed in section ‘c’ of figure. 6. DISCUSSION The aim of VENTPad is that of demonstrating that qualitative physics has advanced enough to support new applications of AI to educational problems. Bayesian causal networks modelling provides representational tools and techniques that can be used to encode a substantial body of knowledge about civil engineering physics, with both diagnostic and predictive inference capabilities. Automatically generated explanations enable the user to explore the consequences of his or her assumptions, and figure out what modelling assumptions are needed to make further progress. To date, VENTPad is still under development (using the Hugin shell for Bayesian networks analysis) and has only been tested on simple case study. We will be testing it with undergraduate civil engineering students. Our goal is to have VENTPad continuously available in architecture design courses and to enhance it in a commercial version, which features are extended to support the analysis of multizone models (i.e. residential and office buildings) and nearly external environment of building.
摘要：建筑的主要功摘要：建筑的主要功能是为室内人员提供能舒适、安全健康以及能提高工作效率的室内环境。由于复杂的环境质量设计的造型，其重要性往往被忽视在追求能源与环境保护。关于空气质量的问题，适当的自然通风的好处超出氧节能冷却的需要阶段。室内空气连续内循环使得室内人员暴露在病菌和有害物质复合作用下，这迫使在建筑采用机械通风，而机械通风往往产生与人的活力和幸福不相容的噪音。论文网
绿色建筑的实践提供了一个机会，就是以创造环保和资源有效的B建筑设计一个综合的方法。整合意着要面对设计建筑和环境方面的同时没有脱离它们的层次顺序。真正的定义是要求设计师的能力认识和处理复杂的物理知识需要能正确解决初步设计决策而不是调试性能评估时的设计特点。本文介绍了ventpad设计环境，我们正在开发规划合适的内部流体动力学行为的建筑物（尤其是专注于大的内部空间，喜欢音乐大厅和剧院，它的行为更多，因此教学更有趣，比住宅楼）而有助于了解学生和建筑师
系统方法的一种新的贡献，与传统的模拟技术相比，是产生对建筑的物理行为的解释能力，诊断有助于各相关的设计决定系统性能。
关键词：初步可持续设计，定性建模，教育