摘要
新一代通信技术的发展使得QAR数据可在飞行中实时传输;传统译码研究均针对航后QAR数据,难以高效处理实时数据;为提升实时QAR数据的译码效率,提出了基于缓存结构的译码方法,将传统的译码表转换为专门的数据结构,并进行缓存,避免了译码过程中对配置表的全表搜索,提升了译码效率;采用Go语言、Redis缓存、Influxdb2数据库,搭建了实时QAR数据译码平台;采用基于ATG网络的实测QAR数据,对译码平台的性能进行了仿真测试;针对实时QAR数据,平均译码延迟约为5 ms,测试结果表明基于缓存结构的译码方法能够高效处理实时QAR数据。
The development of new generation communication technology enables the real-time transmission of quick access recorder(QAR)data in flight. Traditional decoding researches focus on post-flight QAR data and difficulty to efficiently process real-time data. In order to improve the decoding efficiency of real-time QAR data, a decoding method based on the cache structure is proposed. Traditional decoding table is converted into a special data structure and cached, which avoids the full table search of the configuration table during the decoding process, improving the decoding efficiency;Go language, Redis cache, and Influxdb2 database are adopted to build a real-time QAR data decoding platform;The measured QAR data transmitted by the ATG network is used to simulate and test the performance of the decoding platform. For the real-time QAR data, the average decoding delay is about 5 ms, and the test results show that the decoding method based on the cached structure can efficiently process the real-time QAR data.
作者
马驰
乔添
王潇
袭奇
王婧
张怡丰
MA Chi;QIAO Tian;WANG Xiao;XI Qi;WANG Jing;ZHANG Yifeng(Shanghai Aircraft Customer Service Co.,Ltd.,Shanghai 200241,China;Department of Data Science and Engineering,South China Normal University,Guangdong 516622,China)
出处
《计算机测量与控制》
2023年第3期255-261,共7页
Computer Measurement &Control
