基于感知知识的楼宇自控系统高层建模

J. Flessner, M. Frenken
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引用次数: 2

摘要

这项工作描述了一种使用感知知识的建筑自动化和控制系统(BACS)的高级建模方法。现有的关于人类感知的知识有利于以人为中心的BACS的发展。然而,目前还没有通用的方法来描述感知知识在BACS建模过程中的参与。本文描述了一种开发感知知识库的新方法。知识库的开发采用有限状态机的结构。该知识库的目的是推导出一个抽象的规则库,为BACS应用程序的设计提供一个有用的框架。总之,所提出的方法支持BACS的设计,重点是人的感知。
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High Level Modeling of Building Automation and Control Systems Based on Perceptual Knowledge
This work describes a high level modeling approach of building automation and control systems (BACS) using perceptual knowledge. Present knowledge about the human perception is advantageous for the development of human-centered BACS. However, there exists no general approach describing the involvement of perceptual knowledge within the modeling process of BACS. In this paper, a novel approach for the development of a perceptual knowledge base is described. The development of the knowledge base uses the structure of finite state machines. The purpose of the knowledge base is the derivation of an abstract rule base which forms a useful framework for the design of BACS applications. In conclusion, the presented approach supports the design of BACS with the focus on the human perception.
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