一种基于声信号的污水管道裂纹检测方法

M. Khan
{"title":"一种基于声信号的污水管道裂纹检测方法","authors":"M. Khan","doi":"10.1109/GHTC.2017.8239242","DOIUrl":null,"url":null,"abstract":"This study investigates use of acoustic signals to detect cracks in polyvinyl chloride (PVC) sewer pipes. Cracked sewer pipes can result in release of untreated human and industrial waste, toxic materials and debris affecting human health and the environment. The released toxic effluents can pollute water reservoirs and damage public and private property. Polyvinyl Chloride (PVC) pipes have been extensively used in sewer systems for the past several decades. These pipes fail due to improper installation and engineering, incorrect operation, internal and external contamination, manufacturing defects and abuse by the users. Existing industry standard for crack detection in sewer pipes is based on a Closed-circuit television (CCTV) mounted crawler that passes through the sewer pipes and relays the video to an operator who visually observes and records the presence of cracks. This method requires a special vehicle, an electric generator, a reel-mounted data link cable and a customized software with a dedicated control system. There is a need for developing a system that can be easily deployable, economical and consistent in detecting cracks in pipes. The aim of this project is to analyze and relate attenuation in the acoustic signal to the condition of a pipe sample. Extensive empirical testing has been conducted on 0.1 m diameter PVC pipes with and without cracks. The preliminary results show that acoustic frequencies between 800 Hz–1.2 kHz are severely attenuated due to signal loss from cracks. Further testing in the laboratory and field is in progress to classify the location and extent of cracks in pipes. The findings from the study can be used to develop an acoustic based pipeline crack detection application.","PeriodicalId":248924,"journal":{"name":"2017 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"An approach for crack detection in sewer pipes using acoustic signals\",\"authors\":\"M. Khan\",\"doi\":\"10.1109/GHTC.2017.8239242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study investigates use of acoustic signals to detect cracks in polyvinyl chloride (PVC) sewer pipes. Cracked sewer pipes can result in release of untreated human and industrial waste, toxic materials and debris affecting human health and the environment. The released toxic effluents can pollute water reservoirs and damage public and private property. Polyvinyl Chloride (PVC) pipes have been extensively used in sewer systems for the past several decades. These pipes fail due to improper installation and engineering, incorrect operation, internal and external contamination, manufacturing defects and abuse by the users. Existing industry standard for crack detection in sewer pipes is based on a Closed-circuit television (CCTV) mounted crawler that passes through the sewer pipes and relays the video to an operator who visually observes and records the presence of cracks. This method requires a special vehicle, an electric generator, a reel-mounted data link cable and a customized software with a dedicated control system. There is a need for developing a system that can be easily deployable, economical and consistent in detecting cracks in pipes. The aim of this project is to analyze and relate attenuation in the acoustic signal to the condition of a pipe sample. Extensive empirical testing has been conducted on 0.1 m diameter PVC pipes with and without cracks. The preliminary results show that acoustic frequencies between 800 Hz–1.2 kHz are severely attenuated due to signal loss from cracks. Further testing in the laboratory and field is in progress to classify the location and extent of cracks in pipes. The findings from the study can be used to develop an acoustic based pipeline crack detection application.\",\"PeriodicalId\":248924,\"journal\":{\"name\":\"2017 IEEE Global Humanitarian Technology Conference (GHTC)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Global Humanitarian Technology Conference (GHTC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GHTC.2017.8239242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Global Humanitarian Technology Conference (GHTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GHTC.2017.8239242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

本研究探讨使用声信号来检测聚氯乙烯(PVC)下水管道的裂缝。下水道管道破裂可能导致未经处理的人类和工业废物、有毒物质和碎片的释放,影响人类健康和环境。排放的有毒废水会污染水库,损害公共和私人财产。聚氯乙烯(PVC)管道在过去的几十年里广泛应用于下水道系统。这些管道由于安装和工程不当、操作不当、内部和外部污染、制造缺陷和用户滥用而失效。现有的污水管道裂缝检测行业标准是基于安装了闭路电视(CCTV)的爬行器,该爬行器穿过污水管道,并将视频传递给操作员,操作员可以直观地观察并记录裂缝的存在。这种方法需要一辆特殊的车辆、一台发电机、一根装在卷轴上的数据链电缆和一个带有专用控制系统的定制软件。需要开发一种易于部署、经济且一致的管道裂缝检测系统。本项目的目的是分析声信号的衰减与管道样品的状况之间的关系。对直径0.1 m的PVC管进行了大量的有裂缝和无裂缝的试验。初步结果表明,在800 Hz-1.2 kHz范围内,由于裂纹造成的信号损失,声波频率严重衰减。在实验室和现场进行的进一步测试正在进行中,以分类管道裂缝的位置和程度。研究结果可用于开发基于声学的管道裂纹检测应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
An approach for crack detection in sewer pipes using acoustic signals
This study investigates use of acoustic signals to detect cracks in polyvinyl chloride (PVC) sewer pipes. Cracked sewer pipes can result in release of untreated human and industrial waste, toxic materials and debris affecting human health and the environment. The released toxic effluents can pollute water reservoirs and damage public and private property. Polyvinyl Chloride (PVC) pipes have been extensively used in sewer systems for the past several decades. These pipes fail due to improper installation and engineering, incorrect operation, internal and external contamination, manufacturing defects and abuse by the users. Existing industry standard for crack detection in sewer pipes is based on a Closed-circuit television (CCTV) mounted crawler that passes through the sewer pipes and relays the video to an operator who visually observes and records the presence of cracks. This method requires a special vehicle, an electric generator, a reel-mounted data link cable and a customized software with a dedicated control system. There is a need for developing a system that can be easily deployable, economical and consistent in detecting cracks in pipes. The aim of this project is to analyze and relate attenuation in the acoustic signal to the condition of a pipe sample. Extensive empirical testing has been conducted on 0.1 m diameter PVC pipes with and without cracks. The preliminary results show that acoustic frequencies between 800 Hz–1.2 kHz are severely attenuated due to signal loss from cracks. Further testing in the laboratory and field is in progress to classify the location and extent of cracks in pipes. The findings from the study can be used to develop an acoustic based pipeline crack detection application.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Tablet app for child cognitive assessment in low and middle income countries Analyzing sub-optimal rural microgrids and methods for improving the system capacity and demand factors: Filibaba microgrid case study examined A global market assessment methodology for small wind in the developing world Using smart power management control to maximize energy utilization and reliability within a microgrid of interconnected solar home systems Use of cough sounds for diagnosis and screening of pulmonary disease
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1