Research on aviation data intelligence technology based on event graph
The new generation information technology, such as big data, artificial intelligence, has an important role in promoting the digital transformation of the aviation manufacturing industry. In view of the characteristics of multi-source and heterogeneity, few samples, and strong correlation of data in...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Advances in Aeronautical Science and Engineering
2023-04-01
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| Series: | Hangkong gongcheng jinzhan |
| Subjects: | |
| Online Access: | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2022134 |
| _version_ | 1797823269154324480 |
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| author | GAO Long WEI Qingyan TAO Jian WU Duo WANG Xiaotian DONG Hongfei |
| author_facet | GAO Long WEI Qingyan TAO Jian WU Duo WANG Xiaotian DONG Hongfei |
| author_sort | GAO Long |
| collection | DOAJ |
| description | The new generation information technology, such as big data, artificial intelligence, has an important role in promoting the digital transformation of the aviation manufacturing industry. In view of the characteristics of multi-source and heterogeneity, few samples, and strong correlation of data in the aviation manufacturing industry, utilizing a new generation of knowledge engineering technologies such as knowledge graph with the ability of structured description and efficient management of data, a technical system and process are established in this paper for aviation data intelligence based on the event graph. The research focuses on the technical methods such as ontology modeling, event relationship recognition, event extraction, and event disambiguation for aviation data. With a selection of aviation product quality data for data intelligence technology validation, a series of work are carried out pertinent to application and prototype system developments, including classification of quality problem causes, construction of quality event graph, logic knowledge push, etc., to assist the identification of quality problem and the rapid response to quality issues. The results indicate that the technical system and path of using data and knowledge to carry out digital intelligent quality management are feasible, and the quality knowledge extraction algorithm based on event graph has strong practicality. It provides support for promoting the application of digital intelligence in the whole life cycle of aviation manufacturing industry. |
| first_indexed | 2024-03-13T10:21:36Z |
| format | Article |
| id | doaj.art-2c49e6fe2fd4435a91806c0eb09be69e |
| institution | Directory Open Access Journal |
| issn | 1674-8190 |
| language | zho |
| last_indexed | 2024-03-13T10:21:36Z |
| publishDate | 2023-04-01 |
| publisher | Editorial Department of Advances in Aeronautical Science and Engineering |
| record_format | Article |
| series | Hangkong gongcheng jinzhan |
| spelling | doaj.art-2c49e6fe2fd4435a91806c0eb09be69e2023-05-20T09:24:16ZzhoEditorial Department of Advances in Aeronautical Science and EngineeringHangkong gongcheng jinzhan1674-81902023-04-0114217819010.16615/j.cnki.1674-8190.2023.02.2120230221Research on aviation data intelligence technology based on event graphGAO Long0WEI Qingyan1TAO Jian2WU Duo3WANG Xiaotian4DONG Hongfei5Department of Big Data Research and Application Technology, China Aero-polytechnology Establishment, Beijing 101400, ChinaInformation Technology Center, Air to Air Missile Research Institute, Luoyang 471000, ChinaDepartment of Big Data Research and Application Technology, China Aero-polytechnology Establishment, Beijing 101400, ChinaDepartment of Big Data Research and Application Technology, China Aero-polytechnology Establishment, Beijing 101400, ChinaDepartment of Big Data Research and Application Technology, China Aero-polytechnology Establishment, Beijing 101400, ChinaDepartment of Big Data Research and Application Technology, China Aero-polytechnology Establishment, Beijing 101400, ChinaThe new generation information technology, such as big data, artificial intelligence, has an important role in promoting the digital transformation of the aviation manufacturing industry. In view of the characteristics of multi-source and heterogeneity, few samples, and strong correlation of data in the aviation manufacturing industry, utilizing a new generation of knowledge engineering technologies such as knowledge graph with the ability of structured description and efficient management of data, a technical system and process are established in this paper for aviation data intelligence based on the event graph. The research focuses on the technical methods such as ontology modeling, event relationship recognition, event extraction, and event disambiguation for aviation data. With a selection of aviation product quality data for data intelligence technology validation, a series of work are carried out pertinent to application and prototype system developments, including classification of quality problem causes, construction of quality event graph, logic knowledge push, etc., to assist the identification of quality problem and the rapid response to quality issues. The results indicate that the technical system and path of using data and knowledge to carry out digital intelligent quality management are feasible, and the quality knowledge extraction algorithm based on event graph has strong practicality. It provides support for promoting the application of digital intelligence in the whole life cycle of aviation manufacturing industry.http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2022134aviation manufacturing industryevent graphdata intelligencerapid quality response |
| spellingShingle | GAO Long WEI Qingyan TAO Jian WU Duo WANG Xiaotian DONG Hongfei Research on aviation data intelligence technology based on event graph Hangkong gongcheng jinzhan aviation manufacturing industry event graph data intelligence rapid quality response |
| title | Research on aviation data intelligence technology based on event graph |
| title_full | Research on aviation data intelligence technology based on event graph |
| title_fullStr | Research on aviation data intelligence technology based on event graph |
| title_full_unstemmed | Research on aviation data intelligence technology based on event graph |
| title_short | Research on aviation data intelligence technology based on event graph |
| title_sort | research on aviation data intelligence technology based on event graph |
| topic | aviation manufacturing industry event graph data intelligence rapid quality response |
| url | http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2022134 |
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