数字孪生网络的多源异构数据处理技术

Hongwei Yang, Pin Lü, Tao Sun, Lu Lu, Cheng Zhou
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摘要

数字孪生网络(Digital Twin Network, DTN)是数字孪生与信息通信的融合技术,多源异构物理网络数据的处理是构建DTN系统的关键。本文首先提出了物理网络数据的分类和不同类型数据的采集要求;其次,将物理网络数据处理过程分为三个步骤:©数据采集与传输,提出了选择数据采集协议的“3个标准”,并且数据传输方式要满足双流量与物理流量的“3个一致”要求;©数据存储与清洗,明确不同物理网络数据选择数据库的依据,并提出数据清洗流程;©数据开放服务,提出了一套完整的数据开放服务体系结构。最后,对本文进行了总结,并对未来的研究方向进行了展望。
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Multi-source Heterogeneous Data Processing Technology for Digital Twin Network
Digital Twin Network (DTN) is a fusion technology of digital twin and information communication, and the processing of multi-source heterogeneous physical network data is the key to building a DTN system. This paper firstly proposes the classification of physical network data and the collection requirements for different types of data; secondly, the physical network data processing process is divided into three steps: ©Data collection and transmission, propose “3 criteria” for selecting data collection protocol, and data transmission method to meet the “3 consistent” requirements of twin traffic and physical traffic; ©Data storage and cleaning, clarify the basis for selecting databases for different physical network data, and propose a data cleaning process; ©Data open service, propose, a set of complete data open service architecture is proposed. Finally, this paper is summarized and the future research directions are prospected.
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