Enabling buildings with Smart Building applications will help to achieve the ongoing efficient commissioning of buildings, ultimately attaining peak performance in energy use and improved occupant health and comfort, at minimum cost. For these technologies to be scalable data ontology must be adopted to semantically represent data generated by building mechanical systems, acting as conduit for connection to Smart Building applications. The viability of Brick and Project Haystack ontologies, as found by industry and academia, prompted a quantitative comparison of completeness and expressiveness using a case study with an industry ontology as the baseline. Additionally, a qualitative comparison was completed using key ontology qualities outlined in literature. A recommendation of Brick is made based on results. Brick achieved higher assessment values in completeness and expressiveness achieving 59% and 100% respectively, as compared to Haystacks 43% and 96%. Additionally, Brick exhibited five of six desirable qualities, where Haystack exhibited only three. The recommendation of the appropriate ontology forms the basis for longer-term Smart Building application development, which will support innovative approaches to sustainability in building operations across scale, as well as next-generation building controls and automation strategies.
翻译:具有智能建筑应用的扶持性建筑将有助于以最低成本实现建筑物的持续高效调试,最终在能源使用方面达到顶峰性能,改善住家健康和舒适度。为使这些技术成为可缩放的数据本体学,必须采用这些技术,以静态地代表建筑机械系统生成的数据,作为连接智能建筑应用的管道。工业和学术界发现Brick和Haystack项目 Haystack研究的实用性促进了对完整性和表达性进行定量比较,以工业本体学为基线。此外,利用文献中概述的关键本体学品质完成了质量比较。Brick的建议以成果为基础。Brick在完整性和直观性方面实现了更高的评估值,分别达到59%和100%,而Haystacks 43%和96%。此外,Brick展示了6种理想品质中的5种,Haystack只展示了3种。适当的本体学建议构成了长期智能建筑应用发展的基础,这将支持在规模上建立可持续性的创新方法,以及下一代的建筑控制和自动化战略。