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Equipment Modeling Technology in Power Internet of Things
Author(s) -
Qiao Zhu,
Jie Meng,
Haoqi Zhang,
Jixin Hou,
Dechao Ma,
Xiaohu Liu,
Chen Liu
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2166/1/012056
Subject(s) - cloud computing , computer science , the internet , smart grid , systems engineering , internet of things , data sharing , computer security , engineering , world wide web , electrical engineering , operating system , medicine , alternative medicine , pathology
With the advancement of smart IoT system, equipment modeling technology that adapts to the power Internet of Things becomes more and more important. In the power grid system, various types of equipment access processes are not standardized, the collected data format is not uniform, and the data is difficult to share. There is an urgent need to build a set of equipment modeling methods suitable for the power Internet of Things. By comparing traditional equipment modeling methods, we propose the static modeling structure of equipment in the power Internet of Things, and constructs a description method of terminal equipments on the cloud platform; combined with the construction requirements of the smart IoT system, design the Cloud-side collaborative dynamic modeling technology which based on equipment online status management, resource status management, alarm management and application management. At the same time, integrated equipment management methods for static modeling and dynamic modeling are realized in combination with application cases, providing technologies basis for unified device access, unified data transmission, and open sharing of data.

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