检索结果-南通市图书馆

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

Frontiers of Information Technology & Electronic Engineering 2020年第8期21卷 1226-1238页

作者： Jian-li CONG Ming-yuan GAO Yuan WANG Rong CHEN Ping WANG School of Civil Engineering Southwest Jiaotong UniversityChengdu 610031China Key Laboratory of High-speed Railway Engineering Ministry of EducationChengdu 610031China College of Engineering and Technology Southwest UniversityChongqing 400716China National&Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology Chongqing 400716China School of System Design and Intelligent Manufacturing Southern University of Science and TechnologyShenzhen 518055China

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.

关键词： acceleration signals Smart monitoring Embedded sensors Smartphones Subway

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