Agile Architecture: How the built environment can learn from how it is used

该博士项目旨在加深对建筑用途的理解。我们的假设是，通过对建筑物进行严格的评估，并将这种分析的结果整合到新的建筑设计和运营中，可以实现持续改进。它询问建筑环境如何有效地学习如何使用它，利用现代建筑中增强的传感能力和可穿戴技术。更具体地说，数据分析的使用能否将入住率后评估(POE)从“静态”转变为“连续”，以及如何将吸取的经验教训嵌入到未来建筑的设计和运营中？基于POES未来的概念愿景和理论模型，预计可以利用建筑物内的物联网(IoT)连接来提供一个平台，使其能够对使用中的建筑物进行持续评估和管理。这项研究将使用大型数据集解决一种新形式的PoE，并测试其可行性。重点将放在居住者的需求上，以及以居住为导向的能源管理，这也会促进能源节约。与其他行业相比，建筑业经常被描述为效率低下，无法有效改善。利用传感设备和基于数字的管理基础设施的数据建立使用后评估的动态方法，是迈向技术先进的行业的一步，具有更有效的建筑和建筑设计或改装技术，并从分析和经验教训中吸取信息。

The PhD project aims at developing enhanced understanding of building use. The hypothesis is that through the rigorous assessment of buildings and the integration of the outcomes of this analysis into new building design and operation, continuous improvement can be achieved. It inquires as to how the built environment can effectively learn from how it is used, availing of increased sensing capabilities in modern buildings and wearable technology. More specifically, can the use of data analytics shift post occupancy evaluations (POEs) from 'static' to 'continuous' and how can lessons learnt be embedded in the design and operation of future buildings? Based on conceptual visions and theoretical models of the future of POEs, it is predicted that Internet of Things (IoT) connectivity within buildings can be leveraged to provide a platform that enables the continuous evaluation and management of buildings in use. The study will address a new form of POE, using large datasets, and test its feasibility. The focus will be on occupants' needs, and occupancy-driven energy management that also promotes energy savings. In comparison to other industries, the construction industry has often been described as inefficient and unable to effectively improve. Establishing dynamic methods of post-occupancy evaluation using data from sensing equipment and a digital-based management infrastructure is a step towards a technologically advanced industry with more efficient construction and building design or adaptation techniques that are informed by analysis and lessons learnt.