Semantic-Based Enhancement of ISO/IEC 14543-3 EIB/KNX Standard for Building Automation

Ruta, Michele; Scioscia, Floriano; Sciascio, Eugenio Di; Loseto, Giuseppe

doi:10.1109/tii.2011.2166792

Cited by 33 publications

(15 citation statements)

References 22 publications

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“…There are also approaches to extend existing standards by adding/using context, such as KNX ISO [13]. The need to go beyond context representation to context reasoning, classification and dependency is also recognized [14].…”

Section: State Of the Artmentioning

confidence: 99%

Holistic Context-Sensitivity for Run-Time Optimization of Flexible Manufacturing Systems

Scholze

Barata

Stokić

2017

Sensors

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Highly flexible manufacturing systems require continuous run-time (self-) optimization of processes with respect to diverse parameters, e.g., efficiency, availability, energy consumption etc. A promising approach for achieving (self-) optimization in manufacturing systems is the usage of the context sensitivity approach based on data streaming from high amount of sensors and other data sources. Cyber-physical systems play an important role as sources of information to achieve context sensitivity. Cyber-physical systems can be seen as complex intelligent sensors providing data needed to identify the current context under which the manufacturing system is operating. In this paper, it is demonstrated how context sensitivity can be used to realize a holistic solution for (self-) optimization of discrete flexible manufacturing systems, by making use of cyber-physical systems integrated in manufacturing systems/processes. A generic approach for context sensitivity, based on self-learning algorithms, is proposed aiming at a various manufacturing systems. The new solution encompasses run-time context extractor and optimizer. Based on the self-learning module both context extraction and optimizer are continuously learning and improving their performance. The solution is following Service Oriented Architecture principles. The generic solution is developed and then applied to two very different manufacturing processes.

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Section: State Of the Artmentioning

confidence: 99%

Holistic Context-Sensitivity for Run-Time Optimization of Flexible Manufacturing Systems

Scholze

Barata

Stokić

2017

Sensors

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“…Semantic control offers greater agility. Unprecedented demands for the industrial IoTs based on SOAs emerge simultaneously, and the unpredictable behaviors demand enhanced user expertise, smart web servers in each device, and well-defined service standards [11][12][13]. All of these demands can be summarized into one term-ontology.…”

Section: International Journal Of Distributed Sensor Networkmentioning

confidence: 99%

Energy Tree Dynamics of Smart Grid Based on Industrial Internet of Things

Wang

Zeng

Huang

et al. 2013

International Journal of Distributed Sensor Networks

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Service-oriented architectures make establishing comprehensive profiles of smart factories feasible. In this paper, an energy tree model is used to describe a profile that shapes energy system dynamics. The energy tree shows an overall and detailed profile that combines information communication technologies and ontology knowledge bases. A 7-level network protocol defines sustainable communication services for accumulating local information to maintain the global energy tree in real time. The communication protocol manages everchanging temporal and spatial misalignments by aligning groups of energy resources that are temporally or spatially related. Meanwhile, correlated domain information regarding industrial processes is formulized into ontology models. Ontology-based semantic contexts allocate knowledge-supported attributes to energy resources, including systems, resources, and users. The key objective of context awareness is to align attributes and to intensify couplings between different energy resources by decomposing and aggregating internal ontology models. Intertemporal and interspatial correlations of energy resources are made available by the cooperative transmission of ontology-based semantic contexts in the protocol framework. An informational architecture based on the conceptual energy tree finally can be established using incomplete measurement data and reasoning for large-scale industrial networks. A Smart Grid application instance is given to demo,strate the functionalities of energy tree dynamics.

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“…EIB/KNX Service discovery and decision support in Home and Building Automation, supporting dynamic home selfconfiguration [20].…”

Section: Zigbeementioning

confidence: 99%

“…Careful design of system architecture allowed satisfactory response times [20]. In order to support both semantic annotation exchange and discovery, each communication, identification and sensing technology requires a semantic micro-layer for adapting into the framework.…”

Section: Zigbeementioning

confidence: 99%

Enabling the Semantic Web of Things: Framework and Architecture

Ruta

Scioscia

Sciascio

2012

2012 IEEE Sixth International Conference on Semantic Computing

Self Cite

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The Semantic Web of Things is a novel paradigm combining the Semantic Web and the Internet of Things, aiming to associate semantic annotations to real-world objects, locations and events. This paper presents a general framework for the Semantic Web of Things, based on an evolution of classic Knowledge Base models, also providing architectural solutions for information storage, communication and processing.

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Semantic-Based Enhancement of ISO/IEC 14543-3 EIB/KNX Standard for Building Automation

Cited by 33 publications

References 22 publications

Holistic Context-Sensitivity for Run-Time Optimization of Flexible Manufacturing Systems

Holistic Context-Sensitivity for Run-Time Optimization of Flexible Manufacturing Systems

Energy Tree Dynamics of Smart Grid Based on Industrial Internet of Things

Enabling the Semantic Web of Things: Framework and Architecture

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