| 动车组压缩气体泄漏超声波智能检测与识别系统设计 |
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| 引用本文： | 潘超,韦朴,朱昊,朱奥辉.动车组压缩气体泄漏超声波智能检测与识别系统设计[J].铁路计算机应用,2022,31(10):22-25. |
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| 作者姓名： | 潘超 韦朴 朱昊 朱奥辉 |
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| 作者单位： | 1.中国铁路上海局集团有限公司 南京动车段，南京 210012 |
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| 基金项目： | 江苏省高校自然科学基金重大项目（19KJA410001）；南京铁道职业技术学院铁路文化发展研究院开放基金项目（TWK2021007） |
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| 摘 要： | 针对传统的动车组气体泄漏传统检测方法存在检测效率低、检测精度低和人工成本高的问题，文章设计了动车组压缩气体泄漏超声波智能检测与识别系统，该系统能够通过对泄漏气体产生的超声波信号进行采集和分析，准确判断部件密封状态，确定压缩气体泄漏位置。试验证明，所设计系统在检修现场复杂的声环境下能够快速检测并识别微小气体泄漏，准确有效确定动车组故障部件泄漏位置，显著提高了检测精度和效率，保障动车组的运行安全。
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| 关 键 词： | 动车组 压缩气体 气体泄漏 超声波检测 智能检测 |
| 收稿时间： | 2022-02-10 |
Ultrasonic intelligent detection and identification system for compressed gas leakage of EMU |
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| Affiliation: | 1.Nanjing EMU Department, China Railway Shanghai Group Co. Ltd., Nanjing 210012, China2.Jiangsu Key Laboratory of Advanced Numerical Control Technology, Nanjing Institute of Technology,Nanjing 211167, China |
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| Abstract: | Aiming at the problems of low detection efficiency, low detection accuracy and high labor cost in the traditional detection methods for gas leakage of Electric Multiple Units(EMU), this paper designed an ultrasonic intelligent monitoring and identification system for compressed gas leakage of EMU. The system can accurately judge the sealing state of components and determine the location of compressed gas leakage by collecting and analyzing the ultrasonic signals generated by the leaked gas. The test proves that the designed system can quickly detect and identify small gas leakage in the complex acoustic environment of the maintenance site, accurately and effectively determine the leakage location of the faulty components of the EMU, significantly improve the detection accuracy and efficiency, and ensure the operation safety of the EMU. |
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