{"title":"Research on architecture and technology application of smart Park Based on 5G cloud network","authors":"Huibin Duan, Yuying Xue, Peng Ding, Yun Shen, Dan Liu, Qiuhong Zheng","doi":"10.1109/ICCEAI55464.2022.00182","DOIUrl":null,"url":null,"abstract":"This paper proposes the scheme architecture of smart park under AI and 5G cloud network based on the digital and intelligent requirements, and introduces the related technologies application combined with 3D data fusion presentation, intelligent video analysis, vehicle road cooperation and other scenario of the park. Using federated learning, cloud-side collaborative reasoning and other technologies to execute multi-park data training under the premise of protecting the privacy of the park data to realize single-park self-learning, self-optimization and collaborative optimization among multiple parks.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEAI55464.2022.00182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper proposes the scheme architecture of smart park under AI and 5G cloud network based on the digital and intelligent requirements, and introduces the related technologies application combined with 3D data fusion presentation, intelligent video analysis, vehicle road cooperation and other scenario of the park. Using federated learning, cloud-side collaborative reasoning and other technologies to execute multi-park data training under the premise of protecting the privacy of the park data to realize single-park self-learning, self-optimization and collaborative optimization among multiple parks.