Semantic BMS: Allowing usage of building automation data in facility benchmarking
作者： Adam Kučera , Tomáš Pitner
DOI: 10.1016/J.AEI.2018.01.002
关键词:
摘要: Abstract Facility benchmarking and evaluation of facility performance are the crucial tasks in reaching efficient, economical sustainable operation. Modern buildings equipped with building automation systems (BAS) that contain vast numbers various sensors can be utilised assessment. However, such lack convenient tools for data inspection, which limits their use efficiency analysis especially on large sites. The paper presents a middleware layer designed to enrich BAS additional semantic information. As model, an adaptation Semantic Sensor Network (SSN) ontology field operation is used. provides interfaces querying model. proposed system managers way decision support.
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