A model based development approach for building automation systems

Butzin, Björn; Golatowski, Frank; Niedermeier, Christoph; Vicari, Norbert; Wuchner, Egon

doi:10.1109/etfa.2014.7005365

Cited by 17 publications

(7 citation statements)

References 6 publications

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“…During each BA engineering phase, the BIM data is annotated with links to requirements using semantic data [5]. Semantic data can be stored as RDF triples in a serialized format such as XML, Turtle, or using the Web Ontology Language (OWL).…”

Section: Rule-based Semantic Reasonermentioning

confidence: 99%

Semantic data integration with DevOps to support engineering process of intelligent building automation systems

Mitzutani

Ramanathan

Mayer

2021

Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

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The reliable infrastructure of building automation (BA) systems forms the foundation of smart environments and energy systems in our building towards increasing occupant comfort and safety while reducing the ecological footprint of buildings. This is achieved through the processing of data points collected from sensors and the control of installed actuators, and increasingly incorporates machine learning components. However, engineering of BA systems is intricately linked with the planning, installation, (pre-)commissioning, and operation of building services such as HVAC, and it requires an extensive amount of manual coordination which is often prone to errors, many of which are only detected late in the lifecycle and tends to lose transparency in data provenance. To address this, we propose the application of DevOps, a highly successful paradigm in the field of software engineering, to BA engineering process coordination. In addition, the possibility of using semantic data to develop artifacts such as requirements, construction, and devices of BA systems opens up the avenue of achieving continuous verification of the system as it is built and commissioned. Concretely, we propose a novel approach that integrates a semantic reasoner using the machine-understandable data of the building along with interactions facilitated by Web of Thing Thing Description to the DevOps workflow. The proposed approach is expected to ameliorate limitations of existing workflow management methods and thus provide transparency in the data provenance to gain trust for data-driven AI applications for BA. CCS CONCEPTS• Software and its engineering → Software development process management; • Information systems → Information integration; Web applications; • Human-centered computing → Collaborative content creation.

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Section: Rule-based Semantic Reasonermentioning

confidence: 99%

Semantic data integration with DevOps to support engineering process of intelligent building automation systems

Mitzutani

Ramanathan

Mayer

2021

Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

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“…Although there are many companies with projects focused on the automation of buildings, this issue has reached greater boundaries and sometimes its scope has reached the implementation of case studies for some cities. Some projects worthy of mention are the Commerzbank headquarters -Germany (9) , the Building as a Service (BaaS) in Germany, Greece and Spain (10,11) and the VRISSA project, developed by SENA in Colombia (12) . The implementation of the BAS and its components must consider multiple characteristics and requirements that depend both on the needs of its occupants, and on the availability of economic, technological and environmental resources.…”

Section: Building Automation Systemsmentioning

confidence: 99%

Automation Systems’ Conceptual Design Methodology for Educational and Technological Services Environments

Moreno-Serrano¹,

Guerrero²,

Galeano-Alegria³

2019

inycomp

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This article shows the results of an applied investigation aimed to establish a general design methodologyfor the modernization of automated systems oriented to modernization of physical and technological infrastructureof the “Servicio Nacional de Aprendizaje” (SENA) in Colombia, with systems, equipment and applicationsoriented to sustainability, efficiency and energy savings. The objective of this work is to "Propose amethodology for the conceptual design of automated building systems". The methodology was applied to thedesign of the automated system of the Technological Services Laboratory (LST) of the Center for Electricityand Industrial Automation (CEAI)- SENA and its implementation constitutes a reference model for the otherSENA training centers to apply in order to improve the conditions of safety, comfort and energy managementin their facilities.

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“…Concept of Building as a Service (BaaS) is introduced in [4], aiming to simplify development and maintenance of building automation installations. In [3], discovery services for smart building are proposed using enriched SSN ontology, however they lack structures needed for complex querying (e.g.…”

Section: Related Workmentioning

confidence: 99%

Semantic BMS: Ontology for Analysis of Building Automation Systems Data

Kučera

Pitner

2016

Technological Innovation for Cyber-Physical Systems

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Building construction has gone through significant change with the emerging spread of ICT during last decades. "Intelligent buildings" are equipped with building automation systems (BAS) that can be remotely controlled and programmed and that are able to communicate and collaborate. However, BAS aim to facilitate operation of the building and do not provide sufficient support for strategic level decision support. This article presents adaptation of Semantic Sensor Network ontology for use in the field of building operation analysis. The Semantic BMS ontology enriches the SSN with model of building automation datapoints that gather operation data and describe the interconnections between BAS devices, algorithms and influenced or monitored properties of a building. Proposed ontology allows facility managers to query BAS systems in a way that is convenient for tactical and strategic level planning and that is unavailable in current state of the art systems.

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A model based development approach for building automation systems

Cited by 17 publications

References 6 publications

Semantic data integration with DevOps to support engineering process of intelligent building automation systems

Semantic data integration with DevOps to support engineering process of intelligent building automation systems

Automation Systems’ Conceptual Design Methodology for Educational and Technological Services Environments

Semantic BMS: Ontology for Analysis of Building Automation Systems Data

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