Fiber-Optic Auditory Nerve of Ground in the Suburb: For Traffic Flow Monitoring
文献类型：期刊论文
| 作者 | Liang, Sheng2; Zhao, Xiaoting2; Liu, Ruijun3; Zhang, Xiaodong1; Wang, Liang1 ; Zhang, Xinghua2; Lv, Yisheng4; Meng, Fanchao2
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| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2019 |
| 卷号 | 7页码:166704-166710 |
| 关键词 | Fiber-optic distributed vibration sensor (DVS) fiber-optic nerve of ground phi-OTDR smart ground Internet of Things (IoT) smart traffic traffic flow |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2019.2952999 |
| 通讯作者 | Liu, Ruijun(liuruijun@btbu.edu.cn) ; Zhang, Xiaodong(zhangxd@bgy.cn) |
| 英文摘要 | We propose a novel fiber-optic auditory nerve of ground (FANG) in the suburb based on the fiber-optic distributed vibration sensor (DVS). The feasibility and effectiveness of the principle prototype FANG for traffic flow monitoring are proved and investigated by the field experiment. One of the 31.8 km-long redundant optical fiber of the buried optical-fiber cable for data transmission is utilized as the sensing fiber. Then, the phase-sensitive optical time-domain reflectometer (phi-OTDR) based DVS is realized and regarded as the FANG. The vibration events at 9 observation points with different ground conditions along the sensing fiber are detected by a threshold algorithm during 6.5 hours from 8:00 am. Then, the vibration events are analyzed in combination with the ground conditions to recognize the machine working in the factory, rammer working and the vehicles passed through near different areas and roads. The traffic flow is estimated by the vibration-counting with a counting error that is believed to be in an acceptable range. The distribution and the fluctuation trends of the estimated traffic flow are useful and enlightening for the traffic monitoring and pre-warning of special events, such as an accident. The accuracy can be improved by artificial intelligence methods in the future. It seems that our proposed FANG can be a potential and effective tool for the internet of things, smart ground and smart traffic in the suburb where the video and other information collection methods are not available. |
| WOS关键词 | PHASE-SENSITIVE OTDR ; PHI-OTDR ; SMART CITIES ; PREDICTION ; SUPPRESSION ; IMPACT ; LASER ; IOT |
| 资助项目 | Beijing Natural Science Foundation[4192047] ; Fundamental Research Funds for the Central Universities[2018JBM070] ; National Natural Science Foundation of China[61675019] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000509585900042 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Beijing Natural Science Foundation ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/28600]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Liu, Ruijun; Zhang, Xiaodong |
| 作者单位 | 1.Beijing Municipal Inst City Planning & Design BIC, Beijing 100045, Peoples R China 2.Beijing Jiaotong Univ, Sch Sci, Dept Phys, Natl Phys Expt Teaching Demonstrat Ctr,Key Lab Ed, Beijing 100044, Peoples R China 3.Beijing Technol & Business Univ, Sch Comp & Informat Engn, Beijing 100048, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liang, Sheng,Zhao, Xiaoting,Liu, Ruijun,et al. Fiber-Optic Auditory Nerve of Ground in the Suburb: For Traffic Flow Monitoring[J]. IEEE ACCESS,2019,7:166704-166710. |
| APA | Liang, Sheng.,Zhao, Xiaoting.,Liu, Ruijun.,Zhang, Xiaodong.,Wang, Liang.,...&Meng, Fanchao.(2019).Fiber-Optic Auditory Nerve of Ground in the Suburb: For Traffic Flow Monitoring.IEEE ACCESS,7,166704-166710. |
| MLA | Liang, Sheng,et al."Fiber-Optic Auditory Nerve of Ground in the Suburb: For Traffic Flow Monitoring".IEEE ACCESS 7(2019):166704-166710. |
入库方式： OAI收割
来源：自动化研究所
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