{"title":"面向工业互联网应用的人工智能工业大数据平台研究","authors":"Tan Li, Wei Song, Jun-hua Zhou","doi":"10.1109/ICET51757.2021.9450991","DOIUrl":null,"url":null,"abstract":"With the development of industry, enterprises have put forward higher requirements for real-time data collection and analysis. According to this, a distributed industrial big data platform for Industrial Internet applications is designed, which can effectively support the industrial field big data collection and storage. The system contains a distributed database, real-time database and offline big data platform to implement the collection and storage of all data in the system. Thus, the industrial big data platform architecture and related data hierarchical processing flow are proposed, which can effectively meet the requirements of the multi-source data and real-time processing of smart factory. The proposed data platform technical architecture will have important reference value for the realization of smart manufacturing and smart factory.","PeriodicalId":316980,"journal":{"name":"2021 IEEE 4th International Conference on Electronics Technology (ICET)","volume":"28 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Artificial Intelligence Industrial Big Data Platform for Industrial Internet Applications\",\"authors\":\"Tan Li, Wei Song, Jun-hua Zhou\",\"doi\":\"10.1109/ICET51757.2021.9450991\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of industry, enterprises have put forward higher requirements for real-time data collection and analysis. According to this, a distributed industrial big data platform for Industrial Internet applications is designed, which can effectively support the industrial field big data collection and storage. The system contains a distributed database, real-time database and offline big data platform to implement the collection and storage of all data in the system. Thus, the industrial big data platform architecture and related data hierarchical processing flow are proposed, which can effectively meet the requirements of the multi-source data and real-time processing of smart factory. The proposed data platform technical architecture will have important reference value for the realization of smart manufacturing and smart factory.\",\"PeriodicalId\":316980,\"journal\":{\"name\":\"2021 IEEE 4th International Conference on Electronics Technology (ICET)\",\"volume\":\"28 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 4th International Conference on Electronics Technology (ICET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICET51757.2021.9450991\",\"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 4th International Conference on Electronics Technology (ICET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICET51757.2021.9450991","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Artificial Intelligence Industrial Big Data Platform for Industrial Internet Applications
With the development of industry, enterprises have put forward higher requirements for real-time data collection and analysis. According to this, a distributed industrial big data platform for Industrial Internet applications is designed, which can effectively support the industrial field big data collection and storage. The system contains a distributed database, real-time database and offline big data platform to implement the collection and storage of all data in the system. Thus, the industrial big data platform architecture and related data hierarchical processing flow are proposed, which can effectively meet the requirements of the multi-source data and real-time processing of smart factory. The proposed data platform technical architecture will have important reference value for the realization of smart manufacturing and smart factory.