航空器多链路通信故障中断点云检测系统设计  

Design of Cloud Detection System for Aircraft Multi-Link Communication Faults

作　　者：何小华[1] He Xiaohua(Yantai Automobile Engineering Vocational College, Yantai265500, Shandong)

机构地区：[1]烟台汽车工程职业学院,山东烟台265500

出　　处：《计算机测量与控制》2019年第3期64-67,78,共5页Computer Measurement &Control

摘　　要：为解决传统断点云检测系统中高频短消息传输精度较低、集成挖掘数据链长度受限等问题,提出设计一种航空器多链路通信故障中断点云检测系统;通过确定断点故障内点的方式,达到对多链路通信信道进行鲁棒性优化的目的,并根据待传输信息的总量限制条件,更新云检测流程,构建新型断点云检测模型;利用多链路通信寻址报文数据译码结果作为航空器多链路通信故障中断点的识别参数校验基准,并对上行报文进行显示识别处理,完成通信故障中断点的报文参数识别;将报文参数应用到新型断点云检测模型中,完成航空器多链路通信故障中断点的云检测;与传统检测系统段相比,应用新型断点云检测模型后,检测系统的高频短消息传输精度可以达到95%,集成挖掘数据链长度也得到大幅提升,确保了断点的云检测准确性。In order to solve the problems of low transmission accuracy of high frequency short message and limited length of integrated mining data link in traditional breakpoint cloud detection system, a breakpoint cloud detection system for aircraft multi-link communication fault is proposed. In order to optimize the robustness of multi-link communication channel, the interior point of breakpoint fault is determined. According to the total amount of information to be transmitted, the cloud detection process is updated and a new breakpoint cloud detection model is constructed. The decoding result of multi-link communication addressing message data is used as the identification parameter verification benchmark of aircraft multi-link communication fault interruption point, and the up-link message is displayed and identified to complete the identification of communication fault interruption point message parameters. Packet parameters are applied to a new breakpoint cloud detection model to complete the cloud detection of breakpoints in aircraft multi-link communication. Compared with the traditional detection system segment, the accuracy of high frequency short message transmission can reach 95% after applying the new breakpoint cloud detection model, and the length of integrated mining data link has been greatly improved to ensure the accuracy of breakpoint cloud detection.

关 键 词：航空器 多链路 通信故障 断点 云检测 数据译码 报文参数 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]