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部隊遠程會(huì )診車(chē)多發(fā)故障排除技術(shù)研究
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濟南軍區總醫院信息科

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Research on multiple troubleshooting technology for army telemedicine vehicle
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Information Department of General Hospital of Jinan Military Area

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    摘要:

    傳統排除技術(shù)受到天氣和靜電干擾影響,導致排查精準度較低,為了從根本上排除故障,提出了基于A(yíng)gent部隊遠程會(huì )診車(chē)多發(fā)故障排除技術(shù)研究。繪制信號特征關(guān)系圖,獲取合乎邏輯故障信息。以該信息為基礎,設計多發(fā)故障排除流程,將流程中異常與正常信息特征進(jìn)行對比,依據對比結果設立異常信息警告等級表。根據該表可在不受到天氣因素影響下,準確獲取故障程度,通過(guò)Agent反應結構圖,建立多發(fā)故障排除指標,改善靜電干擾的影響。構建故障排除模型,可確定故障發(fā)生點(diǎn),進(jìn)而實(shí)現故障的準確排除。由實(shí)驗結果可知,該技術(shù)最高排除精準度可達到90%,使受傷人員能夠在最佳時(shí)間內得到救治

    Abstract:

    Traditional exclusion technology is affected by weather and static electricity, resulting in low accuracy of troubleshooting. In order to fundamentally eliminate faults, a multi-issue troubleshooting technology based on Agent troops remote diagnostic vehicles was proposed. Draw signal feature diagrams to obtain logical fault information. Based on this information, multiple troubleshooting processes are designed to compare the anomalies in the process with normal information characteristics, and an exception information warning level table is established based on the comparison results. According to the table, the degree of failure can be accurately obtained without being affected by the weather. Through the Agent reaction structure diagram, multiple troubleshooting indicators are established to improve the effect of static electricity. Build a troubleshooting model to determine the point where the failure occurred and then eliminate the problem. According to the experimental results, the highest accuracy of this technology can be eliminated by 90%, so that the injured can be treated in the best time.

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周建華.部隊遠程會(huì )診車(chē)多發(fā)故障排除技術(shù)研究計算機測量與控制[J].,2018,26(7):16-20.

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  • 收稿日期:2018-04-16
  • 最后修改日期:2018-04-16
  • 錄用日期:2018-05-08
  • 在線(xiàn)發(fā)布日期: 2018-07-26
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