为解决海量空间目标光学特性数据入库与检索效率低、非结构化数据存储与管理困难、数据服务扩展性差和无法满足多用户获取实时请求数据的问题, 提出一种空间目标光学特性数据混合存储策略. 首先, 利用光学特性数据中光源与探测角度的规律性, 对数据进行处理并构建检索策略; 其次, 结合空间目标光学特性数据应用领域在数据存储、处理和访问方面的需求特点, 构建空间目标光学特性数据混合存储策略, 并设计了数据检索体系结构; 最后, 选取空间目标模拟光学特性数据入库和检索两个场景进行验证. 实验结果表明, 存储数值数据情况下, 混合存储策略数据入库效率较传统关系型数据库提高超过17倍; 存储数值数据和图像文件情况下, 提高超过34倍; 在多用户请求下混合存储策略数据检索效率较传统存储策略有较大提升. 提出的混合存储策略能够有效地满足空间目标光学特性相关的仿真、测试与实验对数据的实时请求需求.
In order to solve the problems of low efficiency of data input and retrieval, difficult storage and management of the unstructured data, poor scalability and weak ability to respond to multi-users real-time requests that the massive data of space object optical property faced, a hybrid storage strategy is proposed. Firstly, the data are dealt with and the retrieval strategy is constructed by using the combinatorial sequence regularity of the pitch and azimuth of the optical source and the detector. Secondly, combined with the requirements of data storage, processing and retrieval in the applications of space object optical property data, the efficient hybrid storage strategy is proposed, and storage architecture is designed. Finally, scenarios of simulated data input and retrieval are selected for the experimental verification. The experimental results show that the data input efficiency of the strategy proposed is more than 17 times higher than that of the traditional relational database in the case of storing only numerical data, and more than 34 times separately in the case of storing numerical data and image files. The data retrieval efficiency under multi-user requests is much higher than that of the traditional relational database. The results indicate that the hybrid storage strategy proposed can well meet the real-time data requirements of simulation, testing, and experiment related to the space object optical properties.