基于弱磁检测的煤层气管道缺陷识别系统研究
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摘要
为了实现复杂结构下的管道缺陷检测以及强干扰环境下检测信息的有效传输,设计了一种新型煤层气管道缺陷识别系统。系统以弱磁检测为基础,通过LoRa技术实时传输信号至上位机;通过最小二乘法和小波消噪处理算法对信号进行处理,并采用K最近邻分类算法确定缺陷位置。实验结果表明,系统对复杂结构下的管道缺陷具有较强的辨识能力,且传输过程中的检测信号具有较强的抗噪性能。
In order to realize the detection of pipeline defects under complex structure and the effective transmission of detection information under strong disturbing environment, a new system of CBM fault identification is designed. Based on field weakening detection, the system real-time convey the signal to the host computer by the technology of LoRa. The signal is processed by the least square method and wavelet denoising algorithm, and use the K nearest neighbor classification algorithm to ascertain the location of defection. The experimental results show that the system has stronger identification ability for pipeline defects under complex structure and the detection signal has stronger anti-noise performance during the transmission process.
In order to realize the detection of pipeline defects under complex structure and the effective transmission of detection information under strong disturbing environment, a new system of CBM fault identification is designed. Based on field weakening detection, the system real-time convey the signal to the host computer by the technology of LoRa. The signal is processed by the least square method and wavelet denoising algorithm, and use the K nearest neighbor classification algorithm to ascertain the location of defection. The experimental results show that the system has stronger identification ability for pipeline defects under complex structure and the detection signal has stronger anti-noise performance during the transmission process.
引文
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[2]白优,黄平良,樊莲莲,等.国内外煤层气资源开发利用现状[J].煤炭技术,2013,32(3):5-7.
[3]董晴晴,王宏涛,李灏.基于图像处理技术的管道裂缝检测方法研究[J].应用科技,2018,45(1):96-100.
[4]崔益铭.管道漏磁检测技术的研究[D].沈阳:沈阳工业大学,2009.
[5]满壮,乔铁柱.基于金属磁记忆的刮板机检测装置研究[J].煤矿机械,2014,35(3):127-129.
[6]李兆星.矿用钢丝绳缺陷识别的金属磁记忆检测技术研究[D].太原:太原理工大学,2016.
[7]高兵.管道检测系统噪声分析与自适应噪声抵消研究[D].合肥:合肥工业大学,2007.
[8]徐建军,刘超,王树达.应用SPRT算法的管道小泄漏检测[J].电机与控制学报,2009,13(3):448-451,457.
[9]王悦民,耿海泉,陈乐,等.超声导波管道检测中伪缺陷信号识别及消除方法[J].中国科学:技术科学,2017,47(2):137-148.
[10]何存富,郭军宏,宋国荣,等.基于无线传输技术的管道检测控制系统[J].仪表技术与传感器,2008(3):42-44.
[11]王阳,温向明,路兆铭,等.新兴物联网技术——LoRa[J].信息通信技术,2017,11(1):55-59,72.