Building Cyber‐Physical Systems – A Smart Building Use Case

Bakakeu, Jupiter; Schäfer, Franziska; Bauer, Jakob; Michl, Markus; Franke, Jörg

doi:10.1002/9781119226444.ch21

Cited by 20 publications

(4 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Smart buildings, which include smart homes and commercial buildings, will take an important role to enable smart grid [2] and smart city related approaches. Such approaches can only be realised with intelligent, situation-adaptive control opportunities and building related services [3]. This leads to more comfort, better assistance and increased safety and security as well as improved resource efficiency and reduced overall costs.…”

Section: Motivationmentioning

confidence: 99%

ForeSight - Platform Approach for Enabling AI-based Services for Smart Living

Bauer

Hoffmann

Feld³

et al. 2019

How AI Impacts Urban Living and Public Health

Self Cite

View full text Add to dashboard Cite

In future, smart home and smart living applications will enrich daily life. These applications are aware of their context, use artificial intelligence (AI) and are therefore able to recognize common use cases reliably and adapt these use cases individually with the current user in mind. This paper describes a concept for such an AI-based platform. The presented platform approach considers different stakeholders, e.g. the housing industry, service providers and tenants.

show abstract

Section: Motivationmentioning

confidence: 99%

ForeSight - Platform Approach for Enabling AI-based Services for Smart Living

Bauer

Hoffmann

Feld³

et al. 2019

How AI Impacts Urban Living and Public Health

Self Cite

View full text Add to dashboard Cite

show abstract

“…Complex systems can be characterized by their number and diversity of components or agents [3][4][5]. In complex systems, those components are highly interconnected, resulting in unpredictable and emergent behavior of the system [6][7][8][9].…”

Section: Describing Smart Grids As Complex Systems -State Of the Artmentioning

confidence: 99%

Combining Use Case Methodology and Architecture Models: A Standardized Description Methodology for Complex Systems

Schäfer

Engel

Kuhn

et al. 2018

AMM

Self Cite

View full text Add to dashboard Cite

The European and International energy policy targets energy efficiency improvement and CO2reduction. Therefore, renewables are key players within our future energy supply system. In order to ensure security of energy supply and to avoid load peaks, highly interconnected power grids, also known as smart grids, have to deal with irregularities of phenomena such as sunlight, wind, tides and intelligently control these dynamic changes. Such a smart grid is denoted as a complex system. That is characterized by a large quantity of heterogeneous actors, collaborating within a dynamic and highly interconnected network. This results in big challenges in the steps planning, realizing and expanding such a system. These steps need to be based on a standardized description process to cope with the aforementioned challenges. In this paper, we combine the Smart Grid Architecture Model (SGAM) with the Use Case Methodology for describing processes in complex systems. Our new UC-SGAM Methodology exploits the benefits of both approaches and can also be applied to the Reference Architecture Model Industry 4.0 (RAMI4.0). The developed methodology is examined on two overload scenarios of the smart grid. It strongly enhances comparability and simplifies the visualization of complex use cases.

show abstract

“…A collection of controllers, actuators and sensors allows cyber physical systems (CPS, [1]) to take smart decisions. For instance, a smart building is able to limit its carbon footprint by adapting its heating system to both occupancy fluctuations and actual temperatures reported in each part of the building [2].…”

Section: Introductionmentioning

confidence: 99%

Transformation Based Routing Overlay for Privacy and Reusability in Multi-Domain IoT

Neto

Mérindol

Théoleyre

2020

2020 IEEE 19th International Symposium on Network Computing and Applications (NCA)

View full text Add to dashboard Cite

The Internet of Things (IoT) interconnects a large collection of low power devices to the Internet. Instead of relying on the usual approach where IoT devices push their data to a cloud, we envision a decentralized approach, where multiple IoT domains cooperate to exchange data safely. As privacy is critical regarding IoT data, each domain should define what it accepts to export. We propose to create a multi-domain overlay of border routers, defining their own privacy constraints. Border routers export their available data streams and policies to their peering domains. Such policies define how streams should be aggregated and transformed to be compliant with the privacy requirements. We take advantage of the Named Data Networking (NDN) architecture to enable data re-usability and in-network transformations. Our evaluation highlights the scalability of our approach: NDN content stores supporting data aggregation and transformation reduce both the network and the cache load while enforcing privacy natively.

show abstract

Building Cyber‐Physical Systems – A Smart Building Use Case

Cited by 20 publications

References 57 publications

ForeSight - Platform Approach for Enabling AI-based Services for Smart Living

ForeSight - Platform Approach for Enabling AI-based Services for Smart Living

Combining Use Case Methodology and Architecture Models: A Standardized Description Methodology for Complex Systems

Transformation Based Routing Overlay for Privacy and Reusability in Multi-Domain IoT

Contact Info

Product

Resources

About