High Level Modeling of Building Automation and Control Systems Based on Perceptual Knowledge

Abstract

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 purpose of the knowledge base is the derivation of an abstract rule base which forms a useful framework for the design of BACS applications. The development of the knowledge base is based on the structure of finite state machines.