Inferential sensors and inferential control schemes for use in building automation

用于楼宇自动化的推理传感器和推理控制方案

• 批准号: 313375-2007
• 负责人: Liao, Zaiyi
• 金额: $ 1.24万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=457563
• 关键词: Inferential; sensors; inferential; control; schemes

This research aims to investigate how to improve the control of the built environment through the use of inferential sensors and inferential control schemes. Through this research, new knowledge on building automation, environmental monitoring, and assessment of the built environment will be generated. The short-term objectives are to enhance current building control algorithms and schemes through the development and use of inferential sensor and inferential control technology and to develop a widely accepted method and experimental facility for testing the performance of building automation devices and systems. The long-term objectives are to study mathematic and physical fundamentals of inferential sensing and inferential control technology and to understand their impacts on the classic control theory.

本研究旨在探讨如何通过使用推理式传感器和推理式控制方案来改善对建筑环境的控制。通过这项研究，将产生关于建筑自动化、环境监测和建筑环境评估的新知识。短期目标是通过开发和使用推理传感器和推理控制技术来改进现有的建筑控制算法和方案，并开发一种被广泛接受的方法和实验设备，以测试建筑自动化设备和系统的性能。长期目标是研究推理传感和推理控制技术的数学和物理基础，并了解它们对经典控制理论的影响。