基于缓存结构的民机实时QAR数据译码方法 |
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引用本文: | 马驰,乔添,王潇,袭奇,王婧,张怡丰. 基于缓存结构的民机实时QAR数据译码方法[J]. 计算机测量与控制, 2023, 31(3): 255-261 |
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作者姓名: | 马驰 乔添 王潇 袭奇 王婧 张怡丰 |
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作者单位: | 华南师范大学数据科学与工程学院,, |
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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。
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关 键 词: | 实时数据 QAR译码 缓存数据结构 |
收稿时间: | 2022-07-18 |
修稿时间: | 2022-08-29 |
Decoding the Real Time QAR data with Cached Configuration Structure |
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Abstract: | The new generation of communication technologies enable real-time transmission of QAR data in flight. Traditional decoding researches focus on post-flight QAR data, and they are difficult to efficiently process real-time data. In order to improve the decoding efficiency of real-time QAR data, a decoding method based on a cache structure is proposed. The 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; the Go language, Redis cache, and Influxdb2 database are adopted to build a real-time QAR data decoding platform; using the measured QAR data transmitted by the ATG network, the performance of the decoding platform was simulated and tested. For real-time QAR data, the average decoding delay is about 5ms, and the test results show that the decoding method based on the cached structure can efficiently process real-time QAR data. |
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