Energy Tree Dynamics of Smart Grid Based on Industrial Internet of Things
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 tec...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-08-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/583846 |
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| _version_ | 1849467609071747072 |
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| author | Yang Wang Peng Zeng Haibin Yu Yanyu Zhang Xu Wang |
| author_facet | Yang Wang Peng Zeng Haibin Yu Yanyu Zhang Xu Wang |
| author_sort | Yang Wang |
| collection | DOAJ |
| description | 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 demonstrate the functionalities of energy tree dynamics. |
| format | Article |
| id | doaj-art-e0295b6f2d984014b36db2c2068f842f |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-e0295b6f2d984014b36db2c2068f842f2025-08-20T03:26:09ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-08-01910.1155/2013/583846Energy Tree Dynamics of Smart Grid Based on Industrial Internet of ThingsYang Wang0Peng Zeng1Haibin Yu2Yanyu Zhang3Xu Wang4 University of Chinese Academy of Sciences, Beijing 100049, China Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China University of Chinese Academy of Sciences, Beijing 100049, China University of Chinese Academy of Sciences, Beijing 100049, ChinaService-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 demonstrate the functionalities of energy tree dynamics.https://doi.org/10.1155/2013/583846 |
| spellingShingle | Yang Wang Peng Zeng Haibin Yu Yanyu Zhang Xu Wang Energy Tree Dynamics of Smart Grid Based on Industrial Internet of Things International Journal of Distributed Sensor Networks |
| title | Energy Tree Dynamics of Smart Grid Based on Industrial Internet of Things |
| title_full | Energy Tree Dynamics of Smart Grid Based on Industrial Internet of Things |
| title_fullStr | Energy Tree Dynamics of Smart Grid Based on Industrial Internet of Things |
| title_full_unstemmed | Energy Tree Dynamics of Smart Grid Based on Industrial Internet of Things |
| title_short | Energy Tree Dynamics of Smart Grid Based on Industrial Internet of Things |
| title_sort | energy tree dynamics of smart grid based on industrial internet of things |
| url | https://doi.org/10.1155/2013/583846 |
| work_keys_str_mv | AT yangwang energytreedynamicsofsmartgridbasedonindustrialinternetofthings AT pengzeng energytreedynamicsofsmartgridbasedonindustrialinternetofthings AT haibinyu energytreedynamicsofsmartgridbasedonindustrialinternetofthings AT yanyuzhang energytreedynamicsofsmartgridbasedonindustrialinternetofthings AT xuwang energytreedynamicsofsmartgridbasedonindustrialinternetofthings |