Digital Twin Data Handling for Propulsion Drive System of Autonomous Electric Vehicle: Case Study

A. Rassõlkin, V. Rjabtšikov, T. Vaimann, A. Kallaste, V. Kuts, G. Demidova
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引用次数: 3

Abstract

Nowadays, data is not just a collection of static documents, but a continuous flow of information. Research projects are required not only to manage data efficiently but also to keep it safe to ensure that it can be later correctly interpreted and reused. The Data Management Plan (DMP) is a document that describes the data management life cycle for the data to be collected, processed and/or generated during the project workflow. The DMP is not a fixed but rather a living document that will evolve through the lifespan of the project. A general idea of the paper is to give a brief description of the data (including any existing data, data taken from third-party sources or produced data) that is used during the project lifetime. Special attention is paid on how the data is created and collected, how the data is organized during the project (naming conventions, version control, and folder structures). Moreover, the choice of format and implications of data format and data volumes in terms of storage, backup, and access is discussed.
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自动驾驶电动汽车推进驱动系统的数字孪生数据处理:案例研究
如今,数据不仅仅是静态文档的集合,而是连续的信息流。研究项目不仅需要有效地管理数据,还需要保证数据的安全,以确保以后可以正确地解释和重用数据。数据管理计划(DMP)是描述在项目工作流程中收集、处理和/或生成的数据的数据管理生命周期的文件。DMP不是固定的,而是在项目的整个生命周期中不断发展的动态文档。本文的总体思路是对项目生命周期中使用的数据(包括任何现有数据、从第三方来源获取的数据或生成的数据)进行简要描述。特别关注的是如何创建和收集数据,以及在项目期间如何组织数据(命名约定、版本控制和文件夹结构)。此外,还讨论了格式的选择以及数据格式和数据量在存储、备份和访问方面的含义。
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