Towards systematic reliability modeling of smart buildings

S. Lazarova-Molnar, Elena Markoska, H. Shaker
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Abstract

Building Management Systems (BMS) monitor and control smart buildings. We are witnessing a trend of BMS becoming increasingly sophisticated and delivering more advanced services. The downside of this is that the complexity of BMS is also increasing, thus, making smart buildings vulnerable to various malfunctions and faults. We anticipate that reliability of smart buildings will be gaining in importance, especially for BMS of critical buildings, such as hospitals or buildings that host emergency services or store sensitive materials or technologies, whose unreliable operation could have catastrophic consequences. The assistance, however, is in the large amounts of easily available data that implies possibilities for development of highly accurate reliability models. Cloud computing can be also utilized to support collaborative sharing and benefitting from each other building's data. To utilize all of the above stated, we have developed a cloud-based BMS reliability analysis framework that we describe and illustrate in this paper.
智能建筑系统可靠性建模研究
楼宇管理系统(BMS)监控和控制智能建筑。我们目睹了一个趋势,即BMS变得越来越复杂,并提供更先进的服务。这样做的缺点是,BMS的复杂性也在增加,因此,智能建筑容易受到各种故障和故障的影响。我们预计,智能建筑的可靠性将变得越来越重要,特别是对于关键建筑的BMS,如医院或承载应急服务或存储敏感材料或技术的建筑物,其不可靠的运行可能会造成灾难性后果。然而,帮助在于大量容易获得的数据,这意味着开发高度精确的可靠性模型的可能性。云计算还可以用于支持协作共享,并从彼此建筑物的数据中获益。为了利用上述所有陈述,我们开发了一个基于云的BMS可靠性分析框架,我们在本文中进行了描述和说明。
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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