{"title":"工业互联网中时间序列数据处理研究综述","authors":"Miaoqiong Wang, Kai Wei, Chunyu Jiang","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00151","DOIUrl":null,"url":null,"abstract":"This paper focuses on the processing requirements of time series data in industrial and IoT fields. The study of time series data processing in industry is continued for a long time, and a mature solution of using real-time/ historian database has been formed. However, with the new demand of Industrial Internet, old architectures are unable to fully support requirements (i.e., large amount and real-time analysis of industrial data). Meanwhile, a new architecture for processing real-time data in mobile Internet started to mature, this forms a solution called time-series database, which provides lots of new advantages. When we try to use a new technology to replace an old one, many aspects should be considered. This paper focuses on these challenges, starting with the demands of the industry, to analyze how to solve traditional problems with new technologies. This paper also analyzes the development trend of time series data processing and puts forward some general requirements for the application of new technology in the field of Industrial Internet, which lays a theoretical foundation for the application and development of basic technologies of Industrial Internet.","PeriodicalId":410905,"journal":{"name":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Survey of Time Series Data Processing in Industrial Internet\",\"authors\":\"Miaoqiong Wang, Kai Wei, Chunyu Jiang\",\"doi\":\"10.1109/IUCC/DSCI/SmartCNS.2019.00151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on the processing requirements of time series data in industrial and IoT fields. The study of time series data processing in industry is continued for a long time, and a mature solution of using real-time/ historian database has been formed. However, with the new demand of Industrial Internet, old architectures are unable to fully support requirements (i.e., large amount and real-time analysis of industrial data). Meanwhile, a new architecture for processing real-time data in mobile Internet started to mature, this forms a solution called time-series database, which provides lots of new advantages. When we try to use a new technology to replace an old one, many aspects should be considered. This paper focuses on these challenges, starting with the demands of the industry, to analyze how to solve traditional problems with new technologies. This paper also analyzes the development trend of time series data processing and puts forward some general requirements for the application of new technology in the field of Industrial Internet, which lays a theoretical foundation for the application and development of basic technologies of Industrial Internet.\",\"PeriodicalId\":410905,\"journal\":{\"name\":\"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Survey of Time Series Data Processing in Industrial Internet
This paper focuses on the processing requirements of time series data in industrial and IoT fields. The study of time series data processing in industry is continued for a long time, and a mature solution of using real-time/ historian database has been formed. However, with the new demand of Industrial Internet, old architectures are unable to fully support requirements (i.e., large amount and real-time analysis of industrial data). Meanwhile, a new architecture for processing real-time data in mobile Internet started to mature, this forms a solution called time-series database, which provides lots of new advantages. When we try to use a new technology to replace an old one, many aspects should be considered. This paper focuses on these challenges, starting with the demands of the industry, to analyze how to solve traditional problems with new technologies. This paper also analyzes the development trend of time series data processing and puts forward some general requirements for the application of new technology in the field of Industrial Internet, which lays a theoretical foundation for the application and development of basic technologies of Industrial Internet.