Knowledge-Based Fault Propagation in Building Automation Systems

H. Dibowski, Ondrej Holub, J. Rojicek
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引用次数: 24

Abstract

This paper describes a knowledge-based approach that can reason about effects of faults and causes of abnormal situations in building automation systems (BAS). Combining an ontology-based building information model (BIM), which models a BAS formally and semantically, with rules encoding expert knowledge, the fault propagation approach can automatically determine causalities in BAS and propagate faults along the causalities in both forward and backward direction. This enables an immediate assessment of potential consequences of faults respectively an analysis of the root cause(s). The fault propagation approach can enhance fault detection and diagnosis by considering BAS as a whole, being aware of the potentially far reaching consequences of faults, instead of just focusing on single pieces of equipment or zones. This provides a better understanding of BAS and improves the decision making and prioritization of the right emergency and maintenance actions.
楼宇自动化系统中基于知识的故障传播
本文介绍了一种基于知识的方法,可以对楼宇自动化系统中故障的影响和异常情况的原因进行推理。故障传播方法将基于本体的建筑信息模型(BIM)与专家知识编码规则相结合,自动确定BAS中的因果关系,并沿因果关系向前和向后传播故障。这样可以立即评估故障的潜在后果,并分析根本原因。故障传播方法可以从整体上考虑BAS,意识到故障可能产生的深远影响,而不是仅仅关注单个设备或区域,从而增强故障检测和诊断。这提供了对BAS的更好理解,并改进了正确的应急和维护行动的决策和优先级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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