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Application of Artificial Intelligence in Sustainable Building Design - Optimisation Methods

机译:人工智能在可持续建筑设计中的应用-优化方法

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The need to reduce energy consumption, resources, the introduction of new and ecological materials, the multiplicity of modern technologies available, and the complexity and multi-branch nature of architectural and construction projects means that designers must make complex and difficult decisions. This work presents currently available and used in the AEC industry project tools, sustainable building design analysis and provides an overview of the possibilities of using artificial intelligence methods and tools, such as Knowledge Based Engineering (KBE), fuzzy logic, neural networks, genetic algorithms, Monte-Carlo simulation. These methods can be used in the early design stage to improve decision making process and to optimize both the design process and the project itself. This article presents possible ways of developing AI methods for wider application in architectural design with possibilities to commercialize them.
机译:减少能源消耗,减少资源,引入新的生态材料,可利用的现代技术的多样性以及建筑和建筑项目的复杂性和多分支性质的需求,意味着设计师必须做出复杂而艰难的决定。这项工作介绍了AEC行业项目工具中当前可用和使用的,可持续建筑设计分析,并概述了使用人工智能方法和工具的可能性,例如基于知识的工程(KBE),模糊逻辑,神经网络,遗传算法,蒙特卡洛模拟。这些方法可用于早期设计阶段,以改善决策过程,并优化设计过程和项目本身。本文介绍了开发AI方法以在建筑设计中更广泛应用的可能方法,并将其商业化。

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