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Research on industrial Internet of Things and power grid technology application based on knowledge graph and data asset relationship model

Xue Wang

Xue Wang

Internet Division of State Grid Gansu Electric Power CompanyLanzhou, China
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Wang, Xue
, 
Le Ma

Le Ma

Internet Division of State Grid Gansu Electric Power CompanyLanzhou, China
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Ma, Le
 and 
Zhenwei Yang

Zhenwei Yang

Internet Division of State Grid Gansu Electric Power CompanyLanzhou, China
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Yang, Zhenwei
  
Dec 23, 2022
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Published Online: Dec 23, 2022
Page range: 2717 - 2728
Received: Jul 08, 2022
Accepted: Sep 07, 2022
DOI: https://doi.org/10.2478/amns.2021.2.00285
Keywords
© 2023 Xue Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Based on CNN + BiLSTM + CRF data asset relationship model. BiLSTM, bidirectional long short-term memory; CNN, convolutional neural network
Based on CNN + BiLSTM + CRF data asset relationship model. BiLSTM, bidirectional long short-term memory; CNN, convolutional neural network

Fig. 2

Power grid industrial data acquisition technology architecture
Power grid industrial data acquisition technology architecture

Fig. 3

Model effect comparison (/%)
Model effect comparison (/%)
Language:
English
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Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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