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航空器多鏈路通信故障中斷點(diǎn)云檢測系統設計
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TP391

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

    為解決傳統斷點(diǎn)云檢測系統中高頻短消息傳輸精度較低、集成挖掘數據鏈長(cháng)度受限等問(wèn)題,提出設計一種航空器多鏈路通信故障中斷點(diǎn)云檢測系統。通過(guò)確定斷點(diǎn)故障內點(diǎn)的方式,達到對多鏈路通信信道進(jìn)行魯棒性?xún)?yōu)化的目的,并根據待傳輸信息的總量限制條件,更新云檢測流程,構建新型斷點(diǎn)云檢測模型。利用多鏈路通信尋址報文數據譯碼結果作為航空器多鏈路通信故障中斷點(diǎn)的識別參數校驗基準,并對上行報文進(jìn)行顯示識別處理,完成通信故障中斷點(diǎn)的報文參數識別。將報文參數應用到新型斷點(diǎn)云檢測模型中,完成航空器多鏈路通信故障中斷點(diǎn)的云檢測。與傳統檢測系統段相比,應用新型斷點(diǎn)云檢測模型后,檢測系統的高頻短消息傳輸精度可以達到95%,集成挖掘數據鏈長(cháng)度也得到大幅提升,確保了斷點(diǎn)的云檢測準確性。

    Abstract:

    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.

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何小華.航空器多鏈路通信故障中斷點(diǎn)云檢測系統設計計算機測量與控制[J].,2019,27(3):64-67.

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  • 收稿日期:2018-12-22
  • 最后修改日期:2018-12-22
  • 錄用日期:2019-01-07
  • 在線(xiàn)發(fā)布日期: 2019-03-15
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