基于智能手机内置传感器的地铁轨道状态监测

从建力; 高鸣源; 王源; 陈嵘; 王平

doi:10.1631/FITEE.1900242

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基于智能手机内置传感器的地铁轨道状态监测

常规文章 | Updated：2022-05-19

- 基于智能手机内置传感器的地铁轨道状态监测
- Subway rail transit monitoring by built-in sensor platform of smartphone
- 信息与电子工程前沿（英文） 2020年21卷第8期页码：1226-1238
- Affiliations：
  
  School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
  Key Laboratory of High-speed Railway Engineering, Ministry of Education, Chengdu 610031, China
  College of Engineering and Technology, Southwest University, Chongqing 400716, China
  National & Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology, Chongqing 400716, China
  School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen 518055, China
- Author bio：
  
  [ "Jian-li CONG, E-mail: jlcong2019@my.swjtu.edu.cn" ]
  [ "Ming-yuan GAO, E-mail: gaomingyuan@swu.edu.cn" ]
  Yuan WANG, E-mail: wangy39@sustech.edu.cn
  [ "Rong CHEN, E-mail: chenrong@home.swjtu.edu.cn" ]
  [ "Ping WANG, E-mail: wping@home.swjtu.edu.cn" ]
- Funds：
  
  Project supported by the National Natural Science Foundation of China (Nos. 51425804 and U1734207) and the National Key R & D Program of China (No. 2016YFC0802203-4)
- DOI：10.1631/FITEE.1900242
  中图分类号： U216.3
- 收稿：2019-05-13，
  
  修回：2020-;6-19，
  
  纸质出版：2020-08
- Accepted：
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从建力, 高鸣源, 王源, 等. 基于智能手机内置传感器的地铁轨道状态监测[J]. 信息与电子工程前沿（英文）, 2020,21(8):1226-1238.

Jian-li CONG, Ming-yuan GAO, Yuan WANG, et al. Subway rail transit monitoring by built-in sensor platform of smartphone[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(8): 1226-1238.
从建力, 高鸣源, 王源, 等. 基于智能手机内置传感器的地铁轨道状态监测[J]. 信息与电子工程前沿（英文）, 2020,21(8):1226-1238. DOI： 10.1631/FITEE.1900242.

Jian-li CONG, Ming-yuan GAO, Yuan WANG, et al. Subway rail transit monitoring by built-in sensor platform of smartphone[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(8): 1226-1238. DOI： 10.1631/FITEE.1900242.

摘要

智能手机内置多种传感器，可作为一种智能传感设备收集信息（如振动与位置）。本文提出一种方法，以智能手机为传感平台，通过开发相应的应用软件实时获取车辆加速度、速度和位置信息，从而实现基于绿色理念的地铁轨道状态监测。通过智能手机和高精度传感器现场试验，根据检测数据的标准差、Sperling指标和ISO-2631计权加速度验证其准确性。结合无全球定位系统覆盖的隧道环境坐标校准算法，提出一种车辆定位方法。基于时域积分法，建立车辆纵向加速度与车辆运行区间里程位置的关系，计算相邻车站间的距离并与实际值比较。验证了所提方法有效性，且证实该方法可用于无全球定位系统覆盖的隧道环境。结果表明，站间距范围内车辆位置误差可控制在5%以内。该研究充分利用智能手机，为智能轨道交通领域人类生活提供一种智能且环保的方法。

Abstract

Smartphone

as a smart device with multiple built-in sensors

can be used for collecting information (e.g.

vibration and location). In this paper

we propose an approach for using the smartphone as a sensing platform to obtain real-time data on vehicle acceleration

velocity

and location through the development of the corresponding application software and thereby achieve the green concept based monitoring of the track condition during subway rail transit. Field tests are conducted to verify the accuracy of smartphones in terms of the obtained data's standard deviation (SD)

Sperling index (SI)

and International Organization for Standardization (ISO)-2631 weighted acceleration index (WAI). A vehicle-positioning method

together with the coordinate alignment algorithm for a Global Positioning System (GPS) free tunnel environment

is proposed. Using the time-domain integration method

the relationship between the longitudinal acceleration of a vehicle and the subway location is established

and the distance between adjacent stations of the subway is calculated and compared with the actual values. The effectiveness of the method is verified

and it is confirmed that this approach can be used in the GPS-free subway tunnel environment. It is also found that using the proposed vehicle-positioning method

the integral error of displacement of a single subway section can be controlled to within 5%. This study can make full use of smartphones and offer a smart and eco-friendly approach for human life in the field of intelligent transportation systems.

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