Subway rail transit monitoring by built-in sensor platform of smartphone

作     者：Jian-li CONG Ming-yuan GAO Yuan WANG Rong CHEN Ping WANG Jian-li CONG;Ming-yuan GAO;Yuan WANG;Rong CHEN;Ping WANG

作者机构：School of Civil EngineeringSouthwest Jiaotong UniversityChengdu 610031China Key Laboratory of High-speed Railway EngineeringMinistry of EducationChengdu 610031China College of Engineering and TechnologySouthwest UniversityChongqing 400716China National&Local Joint Engineering Laboratory of Intelligent Transmission and Control TechnologyChongqing 400716China School of System Design and Intelligent ManufacturingSouthern University of Science and TechnologyShenzhen 518055China 

出 版 物：《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿（英文版）)

年 卷 期：2020年第21卷第8期

页      面：1226-1238页

核心收录：

学科分类：08[工学] 0814[工学-土木工程] 082301[工学-道路与铁道工程] 0823[工学-交通运输工程] 

基　　金：the National Natural Science Foundation of China(Nos.51425804 and U1734207) the National Key R&D Program of China(No.2016YFC0802203-4) 

主　　题：Acceleration signals Smart monitoring Embedded sensors Smartphones Subway 

摘      要：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 *** 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 *** 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 *** effectiveness of the method is verified,and it is confirmed that this approach can be used in the GPS-free subway tunnel *** 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.