CLC number: U216.3
On-line Access: 2020-08-10
Received: 2019-05-13
Revision Accepted: 2020-01-03
Crosschecked: 2020-06-19
Cited: 0
Clicked: 4779
Citations: Bibtex RefMan EndNote GB/T7714
Jian-li Cong, Ming-yuan Gao, Yuan Wang, Rong Chen, Ping Wang. Subway rail transit monitoring by built-in sensor platform of smartphone[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.1900242 @article{title="Subway rail transit monitoring by built-in sensor platform of smartphone", %0 Journal Article TY - JOUR
基于智能手机内置传感器的地铁轨道状态监测1西南交通大学土木工程学院,中国成都市,610031 2高速铁路线路工程教育部重点实验室,中国成都市,610031 3西南大学工程技术学院,中国重庆市,400716 4智能传动和控制工程实验室,中国重庆市,400716 5南方科技大学系统设计与智能制造学院,中国深圳市,518055 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。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
Reference[1]Agapie E, Chen J, Houston D, et al., 2008. Seeing our signals: combining location traces and web-based models for personal discovery. Proc 9th Workshop on Mobile Computing Systems and Applications, p.6-10. [2]Chellaswamy C, Balaji L, Vanathi A, et al., 2017. IoT based rail track health monitoring and information system. Int Conf on Microelectronic Devices, Circuits and Systems, p.1-6. [3]Cong JL, Wang Y, Yang CP, et al., 2019. Data preprocessing method of vehicle vibration acceleration by smartphone. J Data Acquis Proc, 34(2):349-357 (in Chinese). [4]Gao MY, Wang P, Cao Y, et al., 2017. Design and verification of a rail-borne energy harvester for powering wireless sensor networks in the railway industry. IEEE Trans Intell Transp Syst, 18(6):1596-1609. [5]Gao MY, Wang P, Wang YF, et al., 2018. Self-powered ZigBee wireless sensor nodes for railway condition monitoring. IEEE Trans Intell Transp Syst, 19(3):900-909. [6]Gao MY, Su CG, Cong JL, et al., 2019. Harvesting thermo-electric energy from railway track. Energy, 180:315-329. [7]Gao MY, Cong JL, Xiao JL, et al., 2020. Dynamic modeling and experimental investigation of self-powered sensor nodes for freight rail transport. Appl Energy, 257:113969. [8]Griffin MJ, 2007. Discomfort from feeling vehicle vibration. Veh Syst Dynam, 45(7-8):679-698. [9]Huang DM, Zhou SX, Yang ZC, 2019. Resonance mechanism of nonlinear vibrational multistable energy harvesters under narrow-band stochastic parametric excitations. Complexity, 2019:1050143. [10]Huang DM, Zhou SX, Han Q, et al., 2020. Response analysis of the nonlinear vibration energy harvester with an uncertain parameter. Proc Inst Mech Eng K, 234(2):393-407. [11]International Organization for Standardization, 1997. Mechanical vibration and shock: evaluation of human exposure to whole-body vibration. Part 1, general requirements. ISO 2631-1:1997. International Organization for Standardization. [12]Jin XS, Wen ZF, Wang KY, et al., 2006. Three-dimensional train–track model for study of rail corrugation. J Sound Vibr, 293(3-5):830-855. [13]Kaynia AM, Park J, Norén-Cosgriff K, 2017. Effect of track defects on vibration from high speed train. Proc Eng, 199:2681-2686. [14]Kim YG, Kwon HB, Kim SW, et al., 2003. Correlation of ride comfort evaluation methods for railway vehicles. Proc Inst Mech Eng F, 217(2):73-88. [15]Lane ND, Miluzzo E, Lu H, et al., 2010. A survey of mobile phone sensing. IEEE Commun Mag, 48(9):140-150. [16]Mohan P, Padmanabhan VN, Ramjee R, 2008. Nericell: rich monitoring of road and traffic conditions using mobile smartphones. Proc 6th ACM Conf on Embedded Network Sensor Systems, p.323-336. [17]Molodova M, Li ZL, Núñez A, et al., 2014. Automatic detection of squats in railway infrastructure. IEEE Trans Intell Transp Syst, 15(5):1980-1990. [18]Mosa ASM, Yoo I, Sheets L, 2012. A systematic review of healthcare applications for smartphones. BMC Med Inform Dec Mak, 12(1):67. [19]Paddan GS, Griffin MJ, 2002. Evaluation of whole-body vibration in vehicles. J Sound Vibr, 253(1):195-213. [20]Reddy S, Burke J, Estrin D, et al., 2008. Determining transportation mode on mobile phones. 12th IEEE Int Symp on Wearable Computers, p.25-28. [21]Ruiz-Zafra A, Orantes-González E, Noguera M, et al., 2015. A comparative study on the suitability of smartphones and IMU for mobile, unsupervised energy expenditure calculi. Sensors, 15(8):18270-18286. [22]Simonyi E, Fazekas Z, Gáspár P, 2014. Smartphone application for assessing various aspects of urban public transport. Transp Res Proc, 3:185-194. [23]Tsunashima H, Naganuma Y, Kobayashi T, 2014. Track geometry estimation from car-body vibration. Veh Syst Dynam, 52(S1):207-219. [24]Wang P, Wang Y, Wang L, et al., 2017. Measurement of carbody vibration in urban rail transit using smartphones. Proc Transportation Research Board 96th Annual Meeting, p.15. [25]Wang SQ, Chen CF, Ma J, 2010. Accelerometer based transportation mode recognition on mobile phones. Asia- Pacific Conf on Wearable Computing Systems, p.44-46. [26]Wang Y, Wang P, Wang X, et al., 2018. Position synchronization for track geometry inspection data via big-data fusion and incremental learning. Transp Res Part C Emerg Technol, 93:544-565. [27]Wang YF, Yang Z, Pang J, 2018. Statistical analysis of urban rail transit lines in 2017 China―express delivery of annual report on urban rail transit V. Urban Mass Trans, 21(1):1-6 (in Chinese). [28]Wei XK, Jia LM, Liu H, 2013. A comparative study on fault detection methods of rail vehicle suspension systems based on acceleration measurements. Veh Syst Dynam, 51(5):700-720. [29]Yang K, Wang JL, Yurchenko D, 2019. A double-beam piezo- magneto-elastic wind energy harvester for improving the galloping-based energy harvesting. Appl Phys Lett, 115(19):193901. [30]Zhao YJ, Deng X, Liu SQ, et al., 2015. Interior noise prediction of high-speed train based on hybrid FE-SEA method. Proc 11th Int Workshop on Railway Noise, p.699-705. [31]Zhou SX, Zuo L, 2018. Nonlinear dynamic analysis of asymmetric tristable energy harvesters for enhanced energy harvesting. Commun Nonl Sci Numer Simul, 61:271-284. Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou
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