The Need for a Comprehensive Ontology for Smart Buildings

B. Bremdal, I. Ilieva, S. Puranik
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Abstract

Digitization and automation in the building sector are constantly increasing. Developments around the Internet of Things (IoT) also affect this industry. However, due to the lack of common standards, the development of building automation has been complicated, expensive, and slowly progressing. This paper presents an approach to increase the utilization of sensor data. The approach will help develop smart buildings where energy efficiency is increased and where better interaction with surrounding infrastructure is facilitated. The paper’s focus is on ontologies that make communication more intelligent, data labelling more efficient and utilization of collected and real-time data more expedient relative to the building's performance, area utilization and user experience. The idea is not to replace existing ontologies, but to create an overarching structure that connects essential concepts representing different perspectives of a building and interactions with surrounding infrastructure. We call this structure a hyper-ontology. The presented in the paper approach reflects ongoing work in the project DataCat.
智能建筑对综合本体的需求
建筑领域的数字化和自动化程度不断提高。围绕物联网(IoT)的发展也影响着这个行业。然而,由于缺乏共同的标准,楼宇自动化的发展一直是复杂的,昂贵的,进展缓慢。本文提出了一种提高传感器数据利用率的方法。这种方法将有助于开发智能建筑,提高能源效率,并促进与周围基础设施的更好互动。本文的重点是本体,使通信更智能,数据标签更有效,收集和实时数据的利用相对于建筑的性能,面积利用率和用户体验更方便。这个想法不是要取代现有的本体,而是创建一个总体结构,将代表建筑不同视角的基本概念和与周围基础设施的互动联系起来。我们称这种结构为超本体。论文中提出的方法反映了DataCat项目正在进行的工作。
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