摘要
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。
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.
作者
王灏
山寿
郝朝
Wang Hao;Shan Shou;Hao Zhao(Testing Institute,Chinese Flight Test Establishment,Xi an 710089,China)
出处
《计算机测量与控制》
2020年第3期246-249,共4页
Computer Measurement &Control
关键词
多数据流
多科目
参数合并
实时处理
数据分流
multi-stream
multi-subject
parameter merging
real-time processing
data shunting
