Train type recognition and commuting regularity based on distributed acoustic sensing train noise attribute
文献类型：期刊论文
| 作者 | Zheng XingPeng4,5; Xing Lei3,5; Zhang HanYu2 ; Xu TuanWei1; Liu HuaiShan3,5; Wu ShiGuo2
|
| 刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
 |
| 出版日期 | 2024-07-01 |
| 卷号 | 67期号:7页码:2850-2862 |
| 关键词 | Distributed Acoustic Sensing(DAS) Train source Traffic events Noise attribute |
| ISSN号 | 0001-5733 |
| DOI | 10.6038/cjg2024R0573 |
| 英文摘要 | When the train is running, the strong moving noise is propagated to the underground space, forming a kind of green environmental protection and strong energy artificial seismic wave. Due to the fixed shape of the load system, regular train running time and high repeatability of the source, this kind of train source is widely used in track safety monitoring, near-surface imaging and urban underground space detection. Distributed Acoustic Sensing (DAS) is a new seismic acquisition technology, which has the advantages of dense sampling, simple layout and strong anti-electromagnetic interference ability. In recent years, it has been gradually applied in the fields of microseismic monitoring of urban traffic events, crack detection and underground space imaging. Based on the data of train moving noise in Qinhuangdao test ground obtained by DAS technology, 30 train traffic events were picked up to carry out the attribute analysis of train noise's apparent velocity, waveform, spectrum and energy changes in time and space. The results show that the optical fiber sensing train noise in the test area has obvious attribute difference. The seismic amplitude and energy caused by the train with low speed and heavy load are larger than those caused by the high-speed train, and the noise produced by low-speed trains contains rich low-frequency information. According to the known apparent speed, amplitude and time-frequency attributes, four types of trains are divided, and their rules of entering and leaving the station are revealed. This study expands the application scenario of DAS and proves that DAS is expected to be applied to commute monitoring of different types of train. |
| WOS关键词 | HIGH-SPEED TRAIN ; AMBIENT NOISE ; VEHICLE ; TRACK ; VIBRATIONS ; CABLE |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:001273829000026 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://ir.idsse.ac.cn/handle/183446/11411]  |
| 专题 | 深海科学研究部_深海地球物理与资源研究室 |
| 通讯作者 | Zhang HanYu |
| 作者单位 | 1.Chinese Acad Sci, Inst Semicond, State Key Lab Transducer Technol, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Hainan Key Lab Marine Georesource & Prospecting, Sanya 572000, Hainan, Peoples R China 3.Key Lab Marine Geophys Prospecting Technol Qingda, Qingdao 266100, Shandong, Peoples R China 4.Hainan Eco Environm Geol Survey Inst, Haikou 570206, Hainan, Peoples R China 5.Ocean Univ China, Key Lab Submarine Geosci & Prospecting Tech, Minist Educ, Qingdao 266100, Shandong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zheng XingPeng,Xing Lei,Zhang HanYu,et al. Train type recognition and commuting regularity based on distributed acoustic sensing train noise attribute[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2024,67(7):2850-2862. |
| APA | Zheng XingPeng,Xing Lei,Zhang HanYu,Xu TuanWei,Liu HuaiShan,&Wu ShiGuo.(2024).Train type recognition and commuting regularity based on distributed acoustic sensing train noise attribute.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,67(7),2850-2862. |
| MLA | Zheng XingPeng,et al."Train type recognition and commuting regularity based on distributed acoustic sensing train noise attribute".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 67.7(2024):2850-2862. |
入库方式： OAI收割
来源：深海科学与工程研究所
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