Research on Data and System Integration of Intelligent Power Plant Based on Big Data Platform
[Introduction] The purpose of the research is to propose a classification and fusion method for the data acquisition and system integration of various application systems of the intelligent power plant by studying the overall platform architecture of the intelligent power plant, and provide a refere...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Energy Observer Magazine Co., Ltd.
2022-12-01
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| Series: | 南方能源建设 |
| Subjects: | |
| Online Access: | https://www.energychina.press/en/article/doi/10.16516/j.gedi.issn2095-8676.2022.04.018 |
| _version_ | 1797857857887010816 |
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| author | Weicong LI Yutao HU Wei LI |
| author_facet | Weicong LI Yutao HU Wei LI |
| author_sort | Weicong LI |
| collection | DOAJ |
| description | [Introduction] The purpose of the research is to propose a classification and fusion method for the data acquisition and system integration of various application systems of the intelligent power plant by studying the overall platform architecture of the intelligent power plant, and provide a reference for the integration scheme of the system and the big data platform in intelligent power plant. [Method] First, the division of four levels of the intelligent power plant was described. Then, the application system's data was collected and integrated according to the safety partition requirements, with the big data platform database as the core for interaction. Finally, according to the classification of three types of integration, the scheme of intelligent power plant application system was analyzed. [Result] The analysis and integration of the current architecture system of the intelligent power plant and data acquisition and application system greatly improved the efficiency and intelligence level of the big data platform. [Conclusion] With the gradual promotion and application of intelligent power plants in the China's power industry, technical research and planning in advance according to the project needs is conducive to building a highly integrated intelligent integration platform, which is conducive to big data analysis and interaction. |
| first_indexed | 2024-04-09T21:03:36Z |
| format | Article |
| id | doaj.art-fdcd0b25a61b48b781882bf48737f1b0 |
| institution | Directory Open Access Journal |
| issn | 2095-8676 |
| language | English |
| last_indexed | 2024-04-09T21:03:36Z |
| publishDate | 2022-12-01 |
| publisher | Energy Observer Magazine Co., Ltd. |
| record_format | Article |
| series | 南方能源建设 |
| spelling | doaj.art-fdcd0b25a61b48b781882bf48737f1b02023-03-29T05:55:57ZengEnergy Observer Magazine Co., Ltd.南方能源建设2095-86762022-12-019414314910.16516/j.gedi.issn2095-8676.2022.04.0182022-003Research on Data and System Integration of Intelligent Power Plant Based on Big Data PlatformWeicong LI0Yutao HU1Wei LI2China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd., Guangzhou 510663, Guangdong, ChinaGuangdong Energy Group Co., Ltd., Guangzhou 510630, Guangdong, ChinaGuangdong Energy Group Co., Ltd., Guangzhou 510630, Guangdong, China[Introduction] The purpose of the research is to propose a classification and fusion method for the data acquisition and system integration of various application systems of the intelligent power plant by studying the overall platform architecture of the intelligent power plant, and provide a reference for the integration scheme of the system and the big data platform in intelligent power plant. [Method] First, the division of four levels of the intelligent power plant was described. Then, the application system's data was collected and integrated according to the safety partition requirements, with the big data platform database as the core for interaction. Finally, according to the classification of three types of integration, the scheme of intelligent power plant application system was analyzed. [Result] The analysis and integration of the current architecture system of the intelligent power plant and data acquisition and application system greatly improved the efficiency and intelligence level of the big data platform. [Conclusion] With the gradual promotion and application of intelligent power plants in the China's power industry, technical research and planning in advance according to the project needs is conducive to building a highly integrated intelligent integration platform, which is conducive to big data analysis and interaction.https://www.energychina.press/en/article/doi/10.16516/j.gedi.issn2095-8676.2022.04.018intelligent power plantbig data platformdata integrationsystem integrationintelligent control platform |
| spellingShingle | Weicong LI Yutao HU Wei LI Research on Data and System Integration of Intelligent Power Plant Based on Big Data Platform 南方能源建设 intelligent power plant big data platform data integration system integration intelligent control platform |
| title | Research on Data and System Integration of Intelligent Power Plant Based on Big Data Platform |
| title_full | Research on Data and System Integration of Intelligent Power Plant Based on Big Data Platform |
| title_fullStr | Research on Data and System Integration of Intelligent Power Plant Based on Big Data Platform |
| title_full_unstemmed | Research on Data and System Integration of Intelligent Power Plant Based on Big Data Platform |
| title_short | Research on Data and System Integration of Intelligent Power Plant Based on Big Data Platform |
| title_sort | research on data and system integration of intelligent power plant based on big data platform |
| topic | intelligent power plant big data platform data integration system integration intelligent control platform |
| url | https://www.energychina.press/en/article/doi/10.16516/j.gedi.issn2095-8676.2022.04.018 |
| work_keys_str_mv | AT weicongli researchondataandsystemintegrationofintelligentpowerplantbasedonbigdataplatform AT yutaohu researchondataandsystemintegrationofintelligentpowerplantbasedonbigdataplatform AT weili researchondataandsystemintegrationofintelligentpowerplantbasedonbigdataplatform |