{"title":"通信和数字孪生","authors":"B. YA. LIKHTTSINDER","doi":"10.36724/2072-8735-2023-17-8-30-37","DOIUrl":null,"url":null,"abstract":"This article discusses various types of modeling and the concept of \"digital twin\", as well as concepts and examples of their implementation. It is noted that computer modeling allows not only to obtain a forecast, but also to determine which control actions on the system will lead to a favorable development of events between the components of the model, which are a reflection of real relationships. Modern production processes are very complex and distributed in space and time. Therefore, models of such processes should take into account the distributed nature of the modeling objects. An analysis of the interaction of the digital model with the simulation object representing the real process is also carried out. It is shown that the interaction occurs through interfaces that provide interface between the model and the simulation object. A cross-domain model for managing telecommunications functions is considered. As an example of digital twins using time series models, a model of time delay in a telecommunications network is considered. This model is used to control the buffering system in networks for the transmission of streaming video traffic.","PeriodicalId":263691,"journal":{"name":"T-Comm","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"COMMUNICATIONS AND DIGITAL TWINS\",\"authors\":\"B. YA. LIKHTTSINDER\",\"doi\":\"10.36724/2072-8735-2023-17-8-30-37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article discusses various types of modeling and the concept of \\\"digital twin\\\", as well as concepts and examples of their implementation. It is noted that computer modeling allows not only to obtain a forecast, but also to determine which control actions on the system will lead to a favorable development of events between the components of the model, which are a reflection of real relationships. Modern production processes are very complex and distributed in space and time. Therefore, models of such processes should take into account the distributed nature of the modeling objects. An analysis of the interaction of the digital model with the simulation object representing the real process is also carried out. It is shown that the interaction occurs through interfaces that provide interface between the model and the simulation object. A cross-domain model for managing telecommunications functions is considered. As an example of digital twins using time series models, a model of time delay in a telecommunications network is considered. This model is used to control the buffering system in networks for the transmission of streaming video traffic.\",\"PeriodicalId\":263691,\"journal\":{\"name\":\"T-Comm\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"T-Comm\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36724/2072-8735-2023-17-8-30-37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"T-Comm","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36724/2072-8735-2023-17-8-30-37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This article discusses various types of modeling and the concept of "digital twin", as well as concepts and examples of their implementation. It is noted that computer modeling allows not only to obtain a forecast, but also to determine which control actions on the system will lead to a favorable development of events between the components of the model, which are a reflection of real relationships. Modern production processes are very complex and distributed in space and time. Therefore, models of such processes should take into account the distributed nature of the modeling objects. An analysis of the interaction of the digital model with the simulation object representing the real process is also carried out. It is shown that the interaction occurs through interfaces that provide interface between the model and the simulation object. A cross-domain model for managing telecommunications functions is considered. As an example of digital twins using time series models, a model of time delay in a telecommunications network is considered. This model is used to control the buffering system in networks for the transmission of streaming video traffic.