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Vehicle Operation Status Monitoring Based on Distributed Acoustic Sensor.
Chen, Mengmeng; Ding, Haotian; Liu, Mingming; Zhu, Zhigao; Rui, Dongdong; Chen, Ye; Xu, Fei.
Afiliação
  • Chen M; College of Electronic Engineering, Nanjing Xiaozhuang University, Nanjing 211171, China.
  • Ding H; College of Engineering and Applied Sciences, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210023, China.
  • Liu M; College of Engineering and Applied Sciences, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210023, China.
  • Zhu Z; Railway Vehicle Department, Nanjing Vocational Institute of Railway Technology, Nanjing 210031, China.
  • Rui D; CRRC Nanjing Puzhen Co., Ltd., Nanjing 210031, China.
  • Chen Y; CRRC Nanjing Puzhen Co., Ltd., Nanjing 210031, China.
  • Xu F; College of Physics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Sensors (Basel) ; 23(21)2023 Oct 29.
Article em En | MEDLINE | ID: mdl-37960499
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article