HVAC (Heating Ventilating Air Conditioning) system is complex and available sensor information as its fault detection is insufficient. Qualitative reasoning is one of the effective ways for fault detection and diagnosis methods. Especially, the probabilistic process is used for state transition in the stochastic qualitative reasoning. In this paper, the stochastic qualitative reasoning is applied to a modelling method of human qualitative thinking process based on the instrumentation diagram and the control information of building HVAC system. However, several subjects are still to be dealt with for practical use. This paper proposes a real time simulation using the stochastic qualitative reasoning as a way of practical use for fault detection and diagnosis of VAV (Variable Air Volume) system, that is a kind of HVAC system.
fault detection, stochastic qualitative reasoning, real time simulation
All articles published by Studies in Informatics and Control (SIC) are published in accordance with the terms and conditions of the Creative Commons Attribution License (CC BY-NC-SA 4.0).