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Online Training System of Distribution Network Equipment Operation and Maintenance Security Based on Cloud Model

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e-Learning, e-Education, and Online Training (eLEOT 2022)

Abstract

Electricity demand is more and more big, the distribution of power distribution network equipment is becoming more and more complex, and the need for operational safety training, and the safety of the traditional functions of the system of online training modules are not comprehensive, unable to meet the demand of the current operational safety training, so based on cloud model to design new equipment operational safety online training system, the hardware part of the design of the ARM processor and FPGA chip, In the software part, the online training module of operation and maintenance safety is established, the online training database is designed based on the cloud model, and the online training of distribution network equipment operation and maintenance safety is realized, and the system test is carried out. The results show that the designed online training system of distribution network equipment operation and maintenance safety has good performance and certain application value.

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Science and Technology Project of State Grid Shanxi Electric Power Company Limited “Research and application of key technologies for intelligent analysis and evaluation of power distribution equipment operation and maintenance safety”.

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Correspondence to Lizhen Zhang .

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, L., Liu, L., Hu, Y., Gao, F., Jin, W., Zhu, C. (2022). Online Training System of Distribution Network Equipment Operation and Maintenance Security Based on Cloud Model. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-21161-4_25

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  • DOI: https://doi.org/10.1007/978-3-031-21161-4_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21160-7

  • Online ISBN: 978-3-031-21161-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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