Design and implementation of electrical control system for electronic and electrical engineering specialty based on big data technology

Yin Han

doi:10.1117/12.2680913

23 May 2023 Design and implementation of electrical control system for electronic and electrical engineering specialty based on big data technology

Yin Han

Author Affiliations +

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 1264516 (2023) https://doi.org/10.1117/12.2680913
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

As some fields can not adapt to the changes of the new situation in time, many problems are gradually exposed. For example, in modern electrical engineering, there are problems of poor overall performance and uneven structure, so we design the corresponding electrical control system based on big data technology and apply it to practical work. This paper introduces the structure and main functions of the electrical control system, including data acquisition, information transmission and electrical control. We select university students as the experimental object. The students are divided into two groups, group A students in the electrical control system design and implementation of big data technology, while group B students are still using the conventional method. The research results show that the electrical automation control system designed by group A students not only meets the requirements of intelligent dispatching, but also has a success rate of 75%, and 72% of the students in this group are satisfied with the technology applied in this experiment, and the work efficiency even reaches 95%.

Citation Download Citation

Yin Han "Design and implementation of electrical control system for electronic and electrical engineering specialty based on big data technology", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 1264516 (23 May 2023); https://doi.org/10.1117/12.2680913

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