Human-Building Integration: Bio-Sensing Adaptive Environmental Control for Human Health and Sustainability

1707068 (Choi)。本研究将开发一个以人为中心的建筑智能环境控制集成框架。居住者的生理信号，以及他们周围的环境数据，将通过使用传感代理（如可穿戴和远程传感器）和建筑物中的嵌入式环境传感器进行集成。这将使生物传感驱动的多标准决策能够确定建筑热和照明系统控制，这将潜在地降低能源消耗，同时提高居住者的舒适度。这种以人为中心的方法将提供一个框架，该框架将1)解决传感器数据处理和分析挑战，这些挑战是由传感代理生成的大型动态数据集所固有的；2)开发与居住者偏好有关的多标准问题的优化决策和解决方案的方法；3)建立一种以人为中心的控制方法，与传统的建筑改造控制系统相结合，实现实时决策和系统优化，从而提高能源效率和居住者的舒适度。这种三重方法可以导致量身定制的建筑环境控制系统，具有显着提高建筑性能效率的潜力，增加可持续性，并利用信息技术提高居住者的生活质量。

1707068 (Choi). This research will develop an integrated human-centered framework for intelligent environmental control in a building. The physiological signals of the occupants, as well as their ambient environmental data, will be integrated by using sensing agents (such as wearable as well as remote sensors) and embedded environmental sensors in the building. This will enable bio-sensing-driven multi-criteria decisions for determining building thermal and lighting system controls that will potentially lower energy usage awhile improving occupant comfort. This human-centered approach will provide a framework that will 1) address sensor data processing and analysis challenges that are inherent in large and dynamic datasets generated from sensing agents; 2) develop methods for optimizing decisions and solutions to multiple-criteria problems pertaining to occupants' preferences; and 3) establish a human-centered control approach that is integrated with a conventional control system for building retrofits to enable real-time decision making and system optimization that will enhance energy efficient operations and occupants' comfort. Such a three-fold approach can lead to tailored building environmental control systems with the potential for dramatically improving the efficiency of a building's performance, increasing sustainability, and leveraging informatics technology that will improve the occupants' quality of life.