Vehicle Operation Status Monitoring Based on Distributed Acoustic Sensor

被引：6

作者：

Chen, Mengmeng ^{[1
,2
,3
]}

Ding, Haotian ^{[2
,3
]}

Liu, Mingming ^{[4
]}

Zhu, Zhigao ^{[5
]}

Rui, Dongdong ^{[5
]}

Chen, Ye ^{[6
]}

Xu, Fei ^{[2
,3
]}

机构：

[1] Nanjing Xiaozhuang Univ, Coll Elect Engn, Nanjing 211171, Peoples R China

[2] Nanjing Univ, Coll Engn & Appl Sci, Nanjing 210023, Peoples R China

[3] Nanjing Univ, Collaborat Innovat Ctr Adv Microstruct, Nanjing 210023, Peoples R China

[4] Nanjing Vocat Inst Railway Technol, Railway Vehicle Dept, Nanjing 210031, Peoples R China

[5] CRRC Nanjing Puzhen Co Ltd, Nanjing 210031, Peoples R China

[6] Nanjing Univ Aeronaut & Astronaut, Coll Phys, Nanjing 211106, Peoples R China

来源：

SENSORS | 2023年 / 23卷 / 21期

关键词：

distributed acoustic sensor; distributed optical fiber sensor; vehicle monitoring; field test; DEMODULATION;

D O I：

10.3390/s23218799

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

To develop implementation research on distributed optical fiber sensing technology, field tests were conducted on municipal roads and railways using a distributed acoustic sensor (DAS). Data were collected by the DAS during a field test for a long time period (more than 20 min), and we conducted short-term (<10 s) and long-term (>= 10 s) analyses on these data separately. In the short-term data analysis, the vehicle type, vehicle length, and working status of the vehicle engine or the compressor were identified. In the long-term data analysis, the traffic flow was monitored, and the running distance, acceleration, speed, and braking distance of the vehicle were obtained. The characteristics of the vehicle operation data obtained in these field tests are important in developing the data processing method of DASs, which will help to promote the implementation of DASs.

引用

页数：12

共 23 条

[1]

Agarwal S., 2022, Chapter 20-Sensing and Monitoring of Smart Transportation Systems, The Rise of Smart Cities, P495

[2] Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection [J].

Ajo-Franklin, Jonathan B. ;

Dou, Shan ;

Lindsey, Nathaniel J. ;

Monga, Inder ;

Tracy, Chris ;

Robertson, Michelle ;

Tribaldos, Veronica Rodriguez ;

Ulrich, Craig ;

Freifeld, Barry ;

Daley, Thomas ;

Li, Xiaoye .

SCIENTIFIC REPORTS, 2019, 9 (1)

[3] Phase-Sensitive Optical Time-Domain Reflectometer Based on a 120°-Phase-Difference Michelson Interferometer [J].

Cao, Yu-Long ;

Yang, Fei ;

Xu, Dan ;

Ye, Qing ;

Cai, Hai-Wen ;

Fang, Zu-Jie .

CHINESE PHYSICS LETTERS, 2016, 33 (05)

[4] Automatic traffic monitoring by φ-OTDR data and Hough transform in a real-field environment [J].

Catalano, Ester ;

Coscetta, Agnese ;

Cerri, Enis ;

Cennamo, Nunzio ;

Zeni, Luigi ;

Minardo, A. .

APPLIED OPTICS, 2021, 60 (13) :3579-3584

[5]

Chafiq Y., 2018, P 26 INT C OPT FIB S, P1

[6]

Chambers K., 2020, Lead. Edge, V39, P819, DOI [10.1190/tle39110819.1, DOI 10.1190/TLE39110819.1]

[7] Distributed vibration sensor with a high strain dynamic range by harmonics analysis [J].

Chen, Mengmeng ;

Zhu, Runze ;

Luo, Junxian ;

Masoudi, Ali ;

Chen, Ye ;

Brambilla, Gilberto ;

Xu, Fei .

OPTICS AND LASER TECHNOLOGY, 2023, 159

[8] Performance analysis of distributed optical fiber acoustic sensors based on φ-OTDR [J].

Chen, Mengmeng ;

Masoudi, Ali ;

Brambilla, Gilberto .

OPTICS EXPRESS, 2019, 27 (07) :9684-9695

[9] Distributed acoustic sensor based on a two-mode fiber [J].

Chen, Mengmeng ;

Masoudi, Ali ;

Parmigiani, Francesca ;

Brambilla, Gilberto .

OPTICS EXPRESS, 2018, 26 (19) :25399-25407

[10] HOMODYNE DEMODULATION SCHEME FOR FIBER OPTIC SENSORS USING PHASE GENERATED CARRIER [J].

DANDRIDGE, A ;

TVETEN, AB ;

GIALLORENZI, TG .

IEEE JOURNAL OF QUANTUM ELECTRONICS, 1982, 18 (10) :1647-1653

← 1 2 3 →