ForeSight - An AI-driven Smart Living
Platform, Approach to Add Access
Control to openHAB
Jochen Bauer
1(B) , Michael Hechtel
1 , Christoph Konrad
1 ,
Martin Holzwarth
1 , Hilko Hoffmann
2 , Thomas Feld
3 , Sven Schneider
1 ,
Ingo Zinnikus
2 , Andreas Mayr
1 , and J¨ org Franke
1
1 Institute for Factory Automation and Production Systems,
Friedrich-Alexander-University Erlangen-N¨ urnberg,
Egerlandstraße 7-9, 91058 Erlangen, Germany
jochen.bauer@faps.fau.de
2 Deutsches Forschungszentrum f¨ ur K¨ unstliche Intelligenz GmbH,
Stuhlsatzenhausweg 3, 66123 Saarbr¨ ucken, Germany
3 Strategion GmbH, Albert-Einstein-Straße 1, 49076 Osnabr¨ uck, Germany
Abstract. We created an approach for a smart living platform called
ForeSight which consists of different modules: a service engineering module, a Web of Things (WoT)-based Internet of Things (IoT) module and
an artificial intelligence (AI) component. This paper describes how openHAB, a smart home middleware, is extended to fulfill platform requirements related to a successful interaction with the IoT module of ForeSight, more precisely, to add identity and access management (IAM) to
openHAB and comply with European privacy laws.
Keywords: Architecture · Artificial intelligence · openHAB ·
Platform · Privacy · Smart home · Smart living
1 Motivation
In recent years, the smart home market has proven its relevance [1,2]. If all 43
million households in Germany were equipped with smart home technology by
2030 with an average value of 3,000 EUR, this would result in a market potential
of 129 billion EUR [3]. For other European countries, the situation seems to be
similar [4]. Beyond smart homes, the term “smart living” ranges over various
areas that are separated today concerning energy management, health and home
automation [5]. The smart home is a core element in a connected world, as well as
smart city and smart grid [6]. This will lead to more comfort, better assistance
and increased safety and security as well as improved resource efficiency and
reduced overall costs. The base for such advanced opportunities is the intense
usage of AI.
Supported by German Federal Ministry for Economic Affairs and Energy.
c
The Author(s) 2020
M. Jmaiel et al. (Eds.): ICOST 2020, LNCS 12157, pp. 432–440, 2020.
https://doi.org/10.1007/978-3-030-51517-1_40
Platform, Approach to Add Access
Control to openHAB
Jochen Bauer
1(B) , Michael Hechtel
1 , Christoph Konrad
1 ,
Martin Holzwarth
1 , Hilko Hoffmann
2 , Thomas Feld
3 , Sven Schneider
1 ,
Ingo Zinnikus
2 , Andreas Mayr
1 , and J¨ org Franke
1
1 Institute for Factory Automation and Production Systems,
Friedrich-Alexander-University Erlangen-N¨ urnberg,
Egerlandstraße 7-9, 91058 Erlangen, Germany
jochen.bauer@faps.fau.de
2 Deutsches Forschungszentrum f¨ ur K¨ unstliche Intelligenz GmbH,
Stuhlsatzenhausweg 3, 66123 Saarbr¨ ucken, Germany
3 Strategion GmbH, Albert-Einstein-Straße 1, 49076 Osnabr¨ uck, Germany
Abstract. We created an approach for a smart living platform called
ForeSight which consists of different modules: a service engineering module, a Web of Things (WoT)-based Internet of Things (IoT) module and
an artificial intelligence (AI) component. This paper describes how openHAB, a smart home middleware, is extended to fulfill platform requirements related to a successful interaction with the IoT module of ForeSight, more precisely, to add identity and access management (IAM) to
openHAB and comply with European privacy laws.
Keywords: Architecture · Artificial intelligence · openHAB ·
Platform · Privacy · Smart home · Smart living
1 Motivation
In recent years, the smart home market has proven its relevance [1,2]. If all 43
million households in Germany were equipped with smart home technology by
2030 with an average value of 3,000 EUR, this would result in a market potential
of 129 billion EUR [3]. For other European countries, the situation seems to be
similar [4]. Beyond smart homes, the term “smart living” ranges over various
areas that are separated today concerning energy management, health and home
automation [5]. The smart home is a core element in a connected world, as well as
smart city and smart grid [6]. This will lead to more comfort, better assistance
and increased safety and security as well as improved resource efficiency and
reduced overall costs. The base for such advanced opportunities is the intense
usage of AI.
Supported by German Federal Ministry for Economic Affairs and Energy.
c
The Author(s) 2020
M. Jmaiel et al. (Eds.): ICOST 2020, LNCS 12157, pp. 432–440, 2020.
https://doi.org/10.1007/978-3-030-51517-1_40