Research and Implementation of Data Visualization System for Photovoltaic Power Plants
With the continuous improvement of intelligent level of photovoltaic power station, existing visualization methods of photovoltaic intelligent monitoring system can not satisfy the near real-time and concurrency data visualization needs. In this paper, photovoltaic data visualization method based on...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2018-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.02.012 |
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| _version_ | 1849224713839050752 |
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| author | WANG Ming GAO Xiang WEN Zheng |
| author_facet | WANG Ming GAO Xiang WEN Zheng |
| author_sort | WANG Ming |
| collection | DOAJ |
| description | With the continuous improvement of intelligent level of photovoltaic power station, existing visualization methods of photovoltaic intelligent monitoring system can not satisfy the near real-time and concurrency data visualization needs. In this paper, photovoltaic data visualization method based on big data was analyzed and studied. Meanwhile, a method of data processing which combines Kafka, Spark with WebSocket was proposed and it can implement the visualization of photovoltaic real-time data under high concurrent data request. The method can effectively monitor operation status of photovoltaic components, and is conducive to manage photovoltaic power plants intelligently, improve power generation efficiency, save maintenance time and labor cost. |
| format | Article |
| id | doaj-art-318058ac3e324a5094d2f94a309a6ddf |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-318058ac3e324a5094d2f94a309a6ddf2025-08-25T06:54:29ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272018-01-0135525582328074Research and Implementation of Data Visualization System for Photovoltaic Power PlantsWANG MingGAO XiangWEN ZhengWith the continuous improvement of intelligent level of photovoltaic power station, existing visualization methods of photovoltaic intelligent monitoring system can not satisfy the near real-time and concurrency data visualization needs. In this paper, photovoltaic data visualization method based on big data was analyzed and studied. Meanwhile, a method of data processing which combines Kafka, Spark with WebSocket was proposed and it can implement the visualization of photovoltaic real-time data under high concurrent data request. The method can effectively monitor operation status of photovoltaic components, and is conducive to manage photovoltaic power plants intelligently, improve power generation efficiency, save maintenance time and labor cost.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.02.012photovoltaicbig datadata visualizationdata pushingintelligence |
| spellingShingle | WANG Ming GAO Xiang WEN Zheng Research and Implementation of Data Visualization System for Photovoltaic Power Plants Kongzhi Yu Xinxi Jishu photovoltaic big data data visualization data pushing intelligence |
| title | Research and Implementation of Data Visualization System for Photovoltaic Power Plants |
| title_full | Research and Implementation of Data Visualization System for Photovoltaic Power Plants |
| title_fullStr | Research and Implementation of Data Visualization System for Photovoltaic Power Plants |
| title_full_unstemmed | Research and Implementation of Data Visualization System for Photovoltaic Power Plants |
| title_short | Research and Implementation of Data Visualization System for Photovoltaic Power Plants |
| title_sort | research and implementation of data visualization system for photovoltaic power plants |
| topic | photovoltaic big data data visualization data pushing intelligence |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.02.012 |
| work_keys_str_mv | AT wangming researchandimplementationofdatavisualizationsystemforphotovoltaicpowerplants AT gaoxiang researchandimplementationofdatavisualizationsystemforphotovoltaicpowerplants AT wenzheng researchandimplementationofdatavisualizationsystemforphotovoltaicpowerplants |