Information-centric Industrial Internet of Things: Energy Model
文献类型:会议论文
作者 | Wang Y(汪扬); Zeng P(曾鹏); Zhang HL(张华良); Liu Y(刘阳); Wang T(王挺); Kuang FJ(匡方军) |
出版日期 | 2012 |
会议日期 | October 30 - November 1, 2012 |
会议地点 | Hangzhou, China |
关键词 | Energy Model Internet Of Things (Iots) Service-oriented Architectures (Soas) Smart Microgrid |
页码 | 1585-1590 |
英文摘要 | Service-oriented architectures make establishing comprehensive profiles of smart factories feasible. In this paper, an energy tree model is used to describe an overall and detailed profile that shapes energy system dynamics. The model of the energy tree that accumulates local information in real-time, is managed by information-centric industrial networks. Plant-site energy resources that are temporally or spatially related are aligned into groups to relieve ever-changing temporal and spatial misalignments. Meanwhile, energy resources are generalized into process units and energy interconnectors. The key objective of energy tree is to align attributes and to intensify couplings between different process units and energy interconnectors by decomposing and aggregating energy flow. An indoor smart microgrid is set up to testify the model of energy tree, and the electric power input and output were analyzed, which verifies the availability of the energy tree. |
源文献作者 | IEEE |
产权排序 | 1 |
会议录 | IEEE 2nd International Conference on Cloud Computing and Intelligence Systems |
会议录出版者 | IEEE |
会议录出版地 | New York, USA |
语种 | 英语 |
ISBN号 | 978-1-4673-1855-6 |
源URL | [http://ir.sia.cn/handle/173321/10239] |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
通讯作者 | Wang Y(汪扬) |
作者单位 | 1.Laboratory of Industrial Control Network and System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, Liaoning, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.School of Mechanical Engineering, Liaoning University of Petroleum and Chemical Technology, Fushun 113001, China |
推荐引用方式 GB/T 7714 | Wang Y,Zeng P,Zhang HL,et al. Information-centric Industrial Internet of Things: Energy Model[C]. 见:. Hangzhou, China. October 30 - November 1, 2012. |
入库方式: OAI收割
来源:沈阳自动化研究所
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