Satellite Reference Databases: A literature review of data exchange formats and industrial initiatives

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration Pub Date : 2024-08-05 DOI:10.1016/j.jii.2024.100671

Malik Khalfallah , Alain Martinez , Chris Blade , Tobias Ludwig , Parisa Ghodous

引用次数: 0

Abstract

Satellite Reference Databases (SRDBs) aim to manage the definition of telemetry and telecommand objects used by the ground systems to develop satellite operation procedures as well as encode and decode the flow of information between the ground system and the satellite. SRDBs have been identified as a key area of research and industry as they play a major role in the design, operation, and testing of spacecraft. This paper aims to answer research questions about SRDB data exchange formats and SRDB industrial initiatives. To this end, a comprehensive survey of existing research on SRDB has been conducted. To facilitate comprehension of this survey study, a use case is presented to illustrate the various aspects discussed in the literature.

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卫星参考数据库：数据交换格式和工业举措文献综述

卫星参考数据库（SRDBs）旨在管理地面系统使用的遥测和遥控对象的定义，以制定卫星操作程序，并对地面系统和卫星之间的信息流进行编码和解码。SRDB 在航天器的设计、运行和测试中发挥着重要作用，因此已被确定为研究和工业的一个关键领域。本文旨在回答有关 SRDB 数据交换格式和 SRDB 工业倡议的研究问题。为此，本文对现有的 SRDB 研究进行了全面调查。为了便于理解这项调查研究，本文介绍了一个使用案例，以说明文献中讨论的各个方面。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Industrial Information Integration Decision Sciences-Information Systems and Management

CiteScore

22.30

自引率

13.40%

发文量

100

期刊介绍： The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.