{"title":"Research and Application of Intelligent Generation Technology of Device Labels for Power Internet of Things","authors":"Yanwei Wang, Xuan Wang, P. Guo","doi":"10.1109/SPIES55999.2022.10082294","DOIUrl":null,"url":null,"abstract":"In order to achieve accurate description of devices in the application environment of the Internet of Things, to meet the needs of business applications for device labels, and promote tag based device data sharing and value mining, this paper studies and applies the tag intelligent generation technology. The standardized management of the whole life cycle of equipment label definition is realized, and the Power Internet of Things equipment label system is established through the design of label production process for power assets and equipment. This paper studies two tag generation technologies. One is to use rule engine to effectively integrate, understanding and applying expert experience, the other is to adopt the automatic machine learning technology scheme to realize the automatic machine learning model construction with high performance and high efficiency, so as to obtain the best model effect and apply it to diversified business data and complex scenarios. The intelligent labeling of labels is realized, and a unified, universal and comprehensive power equipment label library is established through these two technologies.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES55999.2022.10082294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to achieve accurate description of devices in the application environment of the Internet of Things, to meet the needs of business applications for device labels, and promote tag based device data sharing and value mining, this paper studies and applies the tag intelligent generation technology. The standardized management of the whole life cycle of equipment label definition is realized, and the Power Internet of Things equipment label system is established through the design of label production process for power assets and equipment. This paper studies two tag generation technologies. One is to use rule engine to effectively integrate, understanding and applying expert experience, the other is to adopt the automatic machine learning technology scheme to realize the automatic machine learning model construction with high performance and high efficiency, so as to obtain the best model effect and apply it to diversified business data and complex scenarios. The intelligent labeling of labels is realized, and a unified, universal and comprehensive power equipment label library is established through these two technologies.