A data-driven modular planetary exploration data archiving system and method

Abstract

The present disclosure provides a data-driven modular planetary exploration data archiving system, comprising a data archiving interface module, a data sending / receiving service module, a message queue module, a data archiving service cluster module, a load balancing service module, and a cluster management service module. The data archiving interface module comprises a data archiving interface module, a data sending / receiving service module, a message queue module, a data archiving service cluster module, a load balancing service module, and a cluster management service module. By means of archiving data from different missions and different sources, a system of planetary exploration data archiving is constructed based on loosely coupled system architecture, which improves the scalabilityof the system, and different data archiving components are dynamically loaded to archive data in real time, which improves the security of data. At that same time, because the whole system support cluster deployment, the archive task assignment is reasonably carried out through load balancing, the system resource utilization rate and the archiving concurrency processing ability are improved, andthe problems existing in the scalability, security, efficiency and concurrency of the conventional planetary exploration data archiving system are solved.

Description

technical field [0001] The present disclosure relates to the technical field of lunar and planetary exploration, and in particular to a data-driven component planetary exploration data archiving system and method. Background technique [0002] Data is the most valuable material wealth of lunar and planetary exploration missions. The safe archiving and reliable management of data is the primary task of preserving the achievements of lunar and planetary scientific exploration. . [0003] First of all, driven by the different scientific objectives of each lunar and planetary exploration mission, there will be large differences in the operating cycle, payload, data collection method, and data processing algorithm of satellites and probes, which will lead to the need for archive management. The data type and content information are constantly changing; coupled with the different detection methods selected by different tasks, the data archiving business process and interface spec...

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