Yingxian Zhou, Liang Zhang, Sheng Zhang, Zechao Hu
{"title":"基于时间-小波能谱法的地下管道不同深度偏移效应研究","authors":"Yingxian Zhou, Liang Zhang, Sheng Zhang, Zechao Hu","doi":"10.1109/ICCSI55536.2022.9970690","DOIUrl":null,"url":null,"abstract":"With the rapid advancement of urbanization and the vigorous development of urban construction, the number and scale of urban underground pipelines are increasing. The accurate survey of urban underground pipelines is related to urban safety and the improvement of urban comprehensive management level. Ground penetrating radar (GPR) is widely used in underground pipeline detection and investigation due to its advantages of high detection efficiency and intuitive imaging. Based on the principle of time-wavelet energy spectrum and frequency wavenumber (F-K) migration algorithm, this paper carried out the GPR detection and migration imaging analysis of underground pipelines with different buried depths. The results show that the time-wavelet energy spectrum method can accurately determine the time position of singular points in single-channel signals, and the accurate migration speed can be obtained by combining the buried depth of pipelines. The center frequency of the 1600 MHz antenna is more suitable for detection and imaging analysis of shallow pipelines. By selecting an accurate migration velocity and performing migration processing on the pipeline image, the image diffraction waves converge completely, the pipeline echo signals are focused and highlighted, and the pipeline imaging results are close to its real shape.","PeriodicalId":421514,"journal":{"name":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Migration Effect of Underground Pipelines at Different Depths Based on Time-Wavelet Energy Spectrum Method\",\"authors\":\"Yingxian Zhou, Liang Zhang, Sheng Zhang, Zechao Hu\",\"doi\":\"10.1109/ICCSI55536.2022.9970690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid advancement of urbanization and the vigorous development of urban construction, the number and scale of urban underground pipelines are increasing. The accurate survey of urban underground pipelines is related to urban safety and the improvement of urban comprehensive management level. Ground penetrating radar (GPR) is widely used in underground pipeline detection and investigation due to its advantages of high detection efficiency and intuitive imaging. Based on the principle of time-wavelet energy spectrum and frequency wavenumber (F-K) migration algorithm, this paper carried out the GPR detection and migration imaging analysis of underground pipelines with different buried depths. The results show that the time-wavelet energy spectrum method can accurately determine the time position of singular points in single-channel signals, and the accurate migration speed can be obtained by combining the buried depth of pipelines. The center frequency of the 1600 MHz antenna is more suitable for detection and imaging analysis of shallow pipelines. By selecting an accurate migration velocity and performing migration processing on the pipeline image, the image diffraction waves converge completely, the pipeline echo signals are focused and highlighted, and the pipeline imaging results are close to its real shape.\",\"PeriodicalId\":421514,\"journal\":{\"name\":\"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSI55536.2022.9970690\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSI55536.2022.9970690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Migration Effect of Underground Pipelines at Different Depths Based on Time-Wavelet Energy Spectrum Method
With the rapid advancement of urbanization and the vigorous development of urban construction, the number and scale of urban underground pipelines are increasing. The accurate survey of urban underground pipelines is related to urban safety and the improvement of urban comprehensive management level. Ground penetrating radar (GPR) is widely used in underground pipeline detection and investigation due to its advantages of high detection efficiency and intuitive imaging. Based on the principle of time-wavelet energy spectrum and frequency wavenumber (F-K) migration algorithm, this paper carried out the GPR detection and migration imaging analysis of underground pipelines with different buried depths. The results show that the time-wavelet energy spectrum method can accurately determine the time position of singular points in single-channel signals, and the accurate migration speed can be obtained by combining the buried depth of pipelines. The center frequency of the 1600 MHz antenna is more suitable for detection and imaging analysis of shallow pipelines. By selecting an accurate migration velocity and performing migration processing on the pipeline image, the image diffraction waves converge completely, the pipeline echo signals are focused and highlighted, and the pipeline imaging results are close to its real shape.