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Automatic setup of fault detection algorithms in building and home automation

机译：在楼宇和家庭自动化中自动设置故障检测算法

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The complexity and diversity of building automation systems (BAS) and the various faults that may happen in buildings make it very challenging to set up fault detection and diagnostics (FDD). This knowledge-intensive, expensive tasks urgently needs to be automated due to the limited time and budget available in this domain. A novel approach for computer-aided, automatic setup of FDD for BAS is described in this paper. Using the Web Ontology Language (OWL), the characteristics, requirements and necessary configuration of the FDD algorithms are formally specified in a machine-interpretable way. Also buildings and their BAS are described by OWL as building information model (BIM). Given these descriptions, the approach can match the specific characteristics and requirements of the FDD algorithms with the specific circumstances in the BAS in a formal evaluation process. All applicable FDD algorithms can be determined and subsequently configured to the individual characteristics of the BAS.
机译：建筑物自动化系统（BAS）的复杂性和多样性以及建筑物中可能发生的各种故障使设置故障检测和诊断（FDD）变得非常具有挑战性。由于该领域可用的时间和预算有限，因此迫切需要将这些知识密集，昂贵的任务自动化。本文介绍了一种用于计算机辅助的BAS FDD自动设置的新颖方法。使用Web本体语言（OWL），以机器可解释的方式正式指定FDD算法的特征，要求和必要的配置。此外，OWL将建筑物及其BAS称为建筑物信息模型（BIM）。根据这些描述，该方法可以在正式评估过程中将FDD算法的特定特征和要求与BAS中的特定情况进行匹配。可以确定所有适用的FDD算法，然后将其配置为BAS的各个特征。

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