Perceptive awareness in building automation

Dietrich

Hancke

et al. 2007

IEEE Trans. Ind. Inf.

Existing communication utilities, such as the ISO/OSI model and the associated automation pyramid, have limitations regarding the increased complexity of modern automation systems. The introduction of profiles for fieldbus systems, or field-area networks (FANs), was an important innovation. However, in the foreseeable future the number of FAN nodes in building automation systems is expected to increase drastically. And here the authors see an opportunity to revolutionize the operation of intelligent, autonomous systems based on FANs. The paper introduces a system based on bionic principles to process the information obtained from a large number of diverse sensors. By means of multilevel symbolization, the amount of information to be processed is substantially reduced. A symbolic processing model is introduced that enables the processing of real world information, creates a world representation, and evaluates scenarios that occur in this representation. Two applications involving human actions in a building automation environment are briefly discussed. It is argued that the use of internal symbolization leads to greater flexibility in the case of a large number of sensors, providing the ability to adapt to changing sensor inputs in an intelligent way.

Section: Automationmentioning

confidence: 99%

A New Model for Autonomous, Networked Control Systems

Dietrich

Hancke

et al. 2007

IEEE Trans. Ind. Inf.

“…This paper reports about the bionic approach and the new results of the Artificial Recognition System (ARS) project, which was presented in Brainin, et al (2004), or, more recently, in Pratl, et al (2005). There, the authors argued that within the last decade the psychologists and psychoanalysts could verify that our brain does not compute current situations (images) and scenarios by analyzing all the incoming data from the various sensors of our body each time again and again.…”

Section: Introductionmentioning

confidence: 99%

The Artificial Recognition System (Ars): New Concepts for Building Automation

IFAC Proceedings Volumes

Lorenz

Dietrich

2005

Building automation faces a development that leads to more and more sensory information available for processing. Existing approaches are challenged by this abundant amount of data, therefore the authors see a need to introduce new concepts for handling the challenges of the upcoming future. Looking at bionic approaches taken from the field of neurobiology, but also psychoanalysis, a system is created that applies neurological principles to get human-like perception, and psychoanalytical principles to evaluate the perceived scenarios.

“…can very often depend on a huge variety of partly redundant sensor information. To meet the demands of situation awareness in modern building automation, scenario recognition becomes more and more important to detect such demands and react to them as shown in (Pratl et al, 2005b). The following two chapters will introduce two very different approaches of scenario recognition.…”

Section: Introductionmentioning

confidence: 99%

Scenario Recognition in Modern Building Automation

Lang

Bruckner

IFAC Proceedings Volumes

et al. 2007

Self Cite

Modern building automation has to deal with very different types of demands, depending on the use of the building and therefore the persons acting within this building. To meet the demands of situation awareness in modern building automation, scenario recognition becomes more and more important to detect such demands and react to them. Two concepts of scenario recognition and their implementation will be introduced, one based on predefined templates and the other using an unsupervised learning algorithm using statistical methods. Implemented applications will be described and their advantages and disadvantages outlined.