「英中对照」学术论文比较Brick与Project Haystack两种本体对智慧建筑应用的支持
Comparison of Brick and Project Haystack to Support Smart Building Applications
一项以行业本体为基线的案例研究对Brick与Project Haystack进行完整性、表达能力及本体质量比较，并据结果推荐Brick。论文给出的数值为：Brick完整性59%、表达能力100%，Haystack分别为43%和96%；六项理想质量中Brick占五项、Haystack占三项。
Authors:Caroline Quinn (1), J.J. McArthur (1), ((1) Department of Architectural Science, Ryerson University, Toronto, Canada)作者：Caroline Quinn (1), J.J. McArthur (1), ((1) 瑞尔森大学建筑科学系，加拿大多伦多)
Abstract: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. 摘要：为建筑部署智能建筑应用，将有助于实现建筑持续高效调试，最终以最低成本实现最佳用能性能，并改善使用者的健康与舒适度。为使这些技术可扩展，必须采用数据本体，对建筑机械系统生成的数据进行语义化表示，并充当连接智能建筑应用的通道。业界和学术界已证实 Brick 和 Project Haystack 本体具备可行性，这促使研究者以一个行业本体为基线，通过案例研究对完整性和表达能力进行定量比较。此外，还利用文献中概述的关键本体质量特性完成了定性比较。基于研究结果，建议采用 Brick。Brick 在完整性和表达能力上获得了更高的评估值，分别达到 59% 和 100%，相比之下 Haystack 为 43% 和 96%。此外，Brick 展现出六项理想质量特性中的五项，而 Haystack 仅展现三项。选择合适本体的建议为长期智能建筑应用开发奠定了基础，这将支持不同规模建筑运营中实现可持续性的创新方法，以及下一代建筑控制与自动化策略。
| Comments:评论： | 21 pages; 8663 words21 页；8663 词 |
| Subjects:主题： | Computers and Society (cs.CY)计算机与社会 (cs.CY) |
| MSC classes:MSC 分类： | 93B11 |
| ACM classes:ACM 分类： | C.3 |
| Cite as:引用格式： | arXiv:2205.05521 [cs.CY] |
| (or arXiv:2205.05521v2 [cs.CY] for this version) （或 arXiv:2205.05521v2 [cs.CY] 本版本） | |
| https://doi.org/10.48550/arXiv.2205.05521 arXiv-issued DOI via DataCite 由 arXiv 通过 DataCite 发放的 DOI |
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| Journal reference:期刊 参考： | Advanced Engineering Informatics 47 (2021) 101233 |
| Related DOI: 相关 DOI： | https://doi.org/10.1016/j.aei.2020.101233
DOI(s) linking to related resources 链接至相关资源的 DOI |
Submission history提交历史
From: Jenn McArthur [view email]
[v1]
Wed, 11 May 2022 14:11:11 UTC (452 KB)
[v2]
Thu, 25 Aug 2022 12:06:58 UTC (642 KB)
来自：Jenn McArthur [查看电子邮件]
[v1]
Wed, 11 May 2022 14:11:11 UTC (452 KB)
[v2]
Thu, 25 Aug 2022 12:06:58 UTC (642 KB)
来源：arXiv 建筑语义标准论文 · arxiv.org