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21 December 2023 The professional group development monitoring platform of double height plan based on Echarts+Vue+Element-UI
Luqiao Fan, Ying Li, Banxiang Duan, Jie Gao
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Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129702O (2023) https://doi.org/10.1117/12.3012358
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China
Abstract
Aiming at the management problems in the construction plan of high-level higher vocational schools and majors with Chinese characteristics, we have designed and developed a monitoring platform for professional group development. The platform includes several main modules: the school big screen visual data analysis module, the professional big screen visual data analysis module, the data management module, and the account management module. By utilizing the API provided by the back-end server to acquire relevant data, and integrating the use of ECharts, Vue, Element UI, Axios, and other front-end libraries and plug-ins, we successfully developed each module in the monitoring platform for professional group development. Through the implementation and utilization of the project, the platform demonstrates characteristics of simplicity, universality, practicality, and effective operation. However, it is important to provide further explanation and background information, ensuring the readers' full understanding of the design and development of the monitoring platform. Additionally, clearer explanations of the functionalities and roles of each module in the platform can be provided to improve coherence and logic in the article.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Luqiao Fan, Ying Li, Banxiang Duan, and Jie Gao "The professional group development monitoring platform of double height plan based on Echarts+Vue+Element-UI", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129702O (21 December 2023); https://doi.org/10.1117/12.3012358
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KEYWORDS
Data visualization
Displays
Data analysis
Visualization
Visual analytics
Education and training
Information fusion
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