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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kuszewski, T., Braziewicz, J., Wysocka-Kunisz, M., et al.: Application of virtual environment for radiotherapy training system for educational purposes at Institute of Physics of Jan Kochanowski University in Kielce. Acta Phys. Polon. A, 139(3), 277–279 (2021)
Etinba, M., Butar, S., Akyüz, F., et al.: The effects of planting distance and training system on yield and fruit quality of peach. Mitteilungen Klosterneuburg 71(12), 74–89 (2021)
Sh, A., Pham, H.T.T., Dang, T.T.N., et al.: Nurses’ perception of individual and organizational changes caused by a novel clinical training system for new graduate nurses: A qualitative research using photovoice - ScienceDirect. Nurse Educ. Today 102(7),104901 (2021)
Iqbal, J., Sidhu, M.S.: Acceptance of dance training system based on augmented reality and technology acceptance model (TAM). Virtual Real. 5(1), 1–22 (2021)
Rashidov, N., Chowaniak, M., Niemiec, M., et al.: Assessment of the multiannual impact of the grape training system on GHG emissions in North Tajikistan. Energies 14(19), 1–13 (2021)
Espinoza, D.L., Carranza, V.G., Escamirosa, F.P., et al.: Integration of comprehensive metrics into the PsT1 neuroendoscopic training system. World Neurosurg. 151(7), 182–189 (2021)
Kumar, N.J., George, B., Sivaprakasam, M.: A sensor system to assess the ocular digital massage in an ophthalmic anaesthesia training system. IEEE Sens. J. 19(22), 10812–10820 (2019)
Wu, C., Gu, W., Zhou, S., et al.: Coordinated optimal power flow for integrated active distribution network and virtual power plants using decentralized algorithm. IEEE Trans. Power Syst. 36(4), 3541–3551 (2021)
Chong, G., Yuansheng, H., Haijie, M.: Simulation of spatial load density distribution in medium voltage distribution network. Comput. Simul. 37(3), 56–60 (2020)
Ingham, G., Plastow, K., Kippen, R., et al.: Closer supervision in Australian general practice training: planning major system change. Aust. J. Prim. Health 26(2), 184–190 (2020)
Fund Project
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”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-031-21161-4_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-21160-7
Online ISBN: 978-3-031-21161-4
eBook Packages: Computer ScienceComputer Science (R0)