Research Article
Teaching and Training System of Power Grid Monitoring Technology Based on Multimodal Information Processing
@INPROCEEDINGS{10.1007/978-3-031-21161-4_34, author={Lirong Zhang and Ying Xiao and Mingfei Qu}, title={Teaching and Training System of Power Grid Monitoring Technology Based on Multimodal Information Processing}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={Multimodal information processing Power grid monitoring technology Course teaching Training system}, doi={10.1007/978-3-031-21161-4_34} }- Lirong Zhang
Ying Xiao
Mingfei Qu
Year: 2023
Teaching and Training System of Power Grid Monitoring Technology Based on Multimodal Information Processing
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_34
Abstract
In view of the poor teaching function and operation performance of the existing power grid monitoring technology course training system, the optimal design of the power grid monitoring technology course teaching training system is realized by using multi-modal information processing technology from three aspects of hardware, database and software functions. Firstly, adjust the operation mode of the system server, refit the curriculum teaching information collector, system communication network architecture, embedded processor, memory and other hardware equipment, and use the optimization circuit to realize the connection of hardware equipment. Then set the unified storage mode of data, and build the system database combined with the logical relationship between data. Based on this, a virtual training scene of power grid monitoring technology course teaching is constructed, in which the implementation process of power grid monitoring technology is simulated, and the course resources are retrieved by using multimodal information processing technology. Experiments show that compared with the traditional system, the functional operation success rate and throughput of the system in this paper are higher.
