7.5 OASIS: a big data platform for satellite testing

A. Charcosset, F. Morel, J. Siega
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Abstract

: Airbus Defence and Space (ADS) has developed a big data platform named OASIS for Open Analytic ServIces for Satellites. Since 2020, this big data platform is in charge of real-time telemetry ingestion, analytics and visualization for a wide and global ADS Satellite Fleet Supervision. It is used all along the satellite lifetime, from design and test to in-orbit support. The supervised fleet is now composed of 55 satellites and the platform aggregates 300Gb per day. In particular, OASIS is used in the satellite Assembly Integration and Test (AIT) context, where the final satellites platforms and payloads are assembled and validated on various test benches. The OASIS capabilities to store, index, analyze test data, alert in case of anomaly during tests are vital. To cover the challenging platform requirements (scalability, high availability, data persistency, security, easy maintenance), OASIS is virtualized on a cloud environment. The architecture offers COTS as well as internal big data analysis applications. Combined with the huge telemetry data available on the platform, they intend to offer Artificial Intelligence (AI) solutions, such as automatic failure detection and predictive maintenance. They represent a huge benefit especially for testing applications, where automatization is the key of future ways of working.
7.5 OASIS:卫星试验大数据平台
空中客车防务与空间公司(ADS)为卫星开放分析服务开发了一个名为OASIS的大数据平台。自2020年以来,该大数据平台负责广泛和全球ADS卫星舰队监督的实时遥测采集,分析和可视化。在卫星的整个生命周期中,从设计、测试到在轨支持,都要使用它。受监管的卫星群现在由55颗卫星组成,该平台每天的总量为300Gb。特别是,OASIS在卫星装配集成和测试(AIT)环境中使用,其中最终的卫星平台和有效载荷在各种测试台上组装和验证。OASIS存储、索引、分析测试数据以及在测试过程中对异常情况进行警报的功能至关重要。为了满足具有挑战性的平台需求(可伸缩性、高可用性、数据持久性、安全性、易于维护),OASIS在云环境中进行了虚拟化。该体系结构提供COTS以及内部大数据分析应用程序。结合平台上可用的大量遥测数据,他们打算提供人工智能(AI)解决方案,如自动故障检测和预测性维护。它们代表了一个巨大的好处,特别是对于测试应用程序,其中自动化是未来工作方式的关键。
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