多流多科目实时数据处理算法的设计与实现

随着飞行试验测试技术的快速发展,单架次需要处理的试飞科目越来越多,而多科目处理参数分布在不同的网络流中,这对机载实时数据处理的效率带来严峻的挑战。利用“合并-处理-分流”的方法,设计一种多流多科目网络数据实时处理算法。该算法将多科目处理参数按照参数名、采样率等信息进行整合形成合并参数列表;在实时处理时根据合并参数信息实时处理多网络流中的数据,并将处理结果存储在数据缓存中;最后将多科目数据进行分流即可得到处理结果。测试结果表明,该算法可实际应用于多流多科目数据处理中,大幅提高实时处理的效率,同时可以得到准确的数据处理结果。

Design and Implementation of Multi-stream and Multi-subject Real-time Data Processing Algorithm

With the rapid development of flight test and test technology, more and more test flight subjects need to be processed in a single operation, and multi-subject processing parameters are distributed in different network flows, which brings severe challenges to the efficiency of on-board real-time data processing. A multi-flow multi-subject network data real-time processing algorithm is designed by using the method of "merge-process-split". The algorithm integrates the multi-subject processing parameters according to the parameter name and sampling rate to form a combined parameter list; in real-time processing, the data in the multi-network stream is processed in real time according to the merged parameter information, and the processing result is stored in the data cache; The multi-subject data is shunted by the location retrieval method to obtain the processing result. The test results show that the algorithm can be applied to multi-stream and multi-subject data processing, which can greatly improve the efficiency of real-time processing and obtain accurate data processing results.