Peiguang Chen, Yiwen Jiang, Yuchun Liu, Xuanduo Yu, Shunjie Han
{"title":"Research and Implementation of Power System Data Visualization","authors":"Peiguang Chen, Yiwen Jiang, Yuchun Liu, Xuanduo Yu, Shunjie Han","doi":"10.1109/RCAE56054.2022.9995906","DOIUrl":null,"url":null,"abstract":"With the continuous promotion of digitalization and the intelligent transformation of the electric power industry, various data information has exploded. There is a practical requirement for power system operators to have accurate and timely access to relevant data. Data visualization technology provides a solution for the decision-makers in the electric power industry to quickly discover the intrinsic correlation of data, intuitively grasp the trend of data changes, and deeply explore the value hidden behind the data. This paper develops power system data visualization methods through web language technologies: the html, css, JavaScript, Echarts, Flask framework and Ajax technology. The ultimate goal is to dynamically monitor data changes in the power system and to visually reveal the nature of power operations.","PeriodicalId":165439,"journal":{"name":"2022 5th International Conference on Robotics, Control and Automation Engineering (RCAE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Robotics, Control and Automation Engineering (RCAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCAE56054.2022.9995906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the continuous promotion of digitalization and the intelligent transformation of the electric power industry, various data information has exploded. There is a practical requirement for power system operators to have accurate and timely access to relevant data. Data visualization technology provides a solution for the decision-makers in the electric power industry to quickly discover the intrinsic correlation of data, intuitively grasp the trend of data changes, and deeply explore the value hidden behind the data. This paper develops power system data visualization methods through web language technologies: the html, css, JavaScript, Echarts, Flask framework and Ajax technology. The ultimate goal is to dynamically monitor data changes in the power system and to visually reveal the nature of power operations.