{"title":"飞行大数据云平台架构研究","authors":"Fengqin Wang, Tingxue Xu, Shigai Li","doi":"10.1109/ICPECA51329.2021.9362529","DOIUrl":null,"url":null,"abstract":"Based on the flight big data environment, the existing problems of current flight training management are analyzed. This paper designs the cloud platform architecture based on flight big data, and points out the key technology research that should be carried out under this architecture. With the help of this cloud platform, flight big data can be effectively analyzed and processed to provide decision support for flight training management, flight safety assessment and risk early warning.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on cloud platform architecture of flight big data\",\"authors\":\"Fengqin Wang, Tingxue Xu, Shigai Li\",\"doi\":\"10.1109/ICPECA51329.2021.9362529\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the flight big data environment, the existing problems of current flight training management are analyzed. This paper designs the cloud platform architecture based on flight big data, and points out the key technology research that should be carried out under this architecture. With the help of this cloud platform, flight big data can be effectively analyzed and processed to provide decision support for flight training management, flight safety assessment and risk early warning.\",\"PeriodicalId\":119798,\"journal\":{\"name\":\"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)\",\"volume\":\"117 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPECA51329.2021.9362529\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPECA51329.2021.9362529","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on cloud platform architecture of flight big data
Based on the flight big data environment, the existing problems of current flight training management are analyzed. This paper designs the cloud platform architecture based on flight big data, and points out the key technology research that should be carried out under this architecture. With the help of this cloud platform, flight big data can be effectively analyzed and processed to provide decision support for flight training management, flight safety assessment and risk early warning.