Abstract
There is an urgent need to develop a real-time database (RTDB) to handle large amounts of real-time data, to realize process monitoring of vacuum cold-black environment simulation, cold-black environment data acquisition, fault processing, data storage, etc. This paper conducts real-time database design through network architecture, functional modules, communication interfaces, data management, and transaction scheduling. Simulation test and associated debugging test show that the real-time database can efficiently process large data volume, and the data interaction efficiency is greatly improved to meet the needs of space environment simulation equipment, laying a solid data foundation for subsequent applications.
Highlights
The space environment simulator is used for the thermal balance test and thermal vacuum test of a whole star or large sub-system, which simulates spacecraft test equipment for basic parameters of space such as vacuum, cold-black and solar radiation [1,2,3]
Based on the traditional relational database, real-time high data should be included in real-time database management, improve the response speed of the system in process monitoring and fault handling, and meet the requirements of realtime data timeliness [5]
To verify whether the environment simulator can meet the requirements in the actual operating environment, the real-time database (RTDB) is debugging tested with a Bath-Oil simulator (Typical vacuum cold black environment simulation equipment)
Summary
The space environment simulator is used for the thermal balance test and thermal vacuum test of a whole star or large sub-system, which simulates spacecraft test equipment for basic parameters of space such as vacuum, cold-black and solar radiation [1,2,3]. It needs to store and process large amounts of real-time data, including test process monitoring, data acquisition, troubleshooting, etc [4]. The real-time data storage requirements of the RTDB are designed for the space environment simulation equipment control system to meet the requirements of the control system for real-time data processing and concurrent transaction scheduling processing of large data volumes
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