RF Energy Harvesting for Batteryless and Maintenance-Free Condition Monitoring of Railway Tracks

被引:45
|
作者
Li, Pengyu [1 ]
Long, Zhihe [1 ]
Yang, Zhengbao [1 ]
机构
[1] City Univ Hong Kong, Dept Mech Engn, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Radio frequency; Rail transportation; Wireless sensor networks; Wireless communication; Monitoring; Inspection; Energy harvesting; Dickson voltage multiplier (DVM); Internet of Things (IoT); radio frequency (RF) energy harvesting; railway tracks inspection; structural health monitoring;
D O I
10.1109/JIOT.2020.3023475
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Current railway track condition monitoring relies on inefficient human inspectors and expensive inspection vehicles, where high-frequency inspection is unreachable since these methods occupy the tracks. This article proposes a batteryless railway monitoring system based on radio-frequency (RF) energy harvesting to detect early defects on rail tracks. The key part of the system is a batteryless wireless sensor tag (BLWST) installed on railway tracks. The BLWST can harvest RF energy from a reader installed on the train, and precisely measure and wirelessly transmit the vibration condition of tracks back to the reader. The proposed system eliminates the demands for cables and battery replacement, thus achieving low installation and maintenance costs. The high-frequency monitoring also provides a more reliable inspection than the existing methods. The BLWST is based on the 3-stage Dickson voltage multiplier (DVM) and can be activated by a dedicated RF power source at a maximum distance of 2.3 m. Experiments show that a maximum energy conversion efficiency of 25% and 500 working cycles per second are achieved. For demonstration, we construct a miniaturized railway system with the batteryless prototype and exhibit a reliable wireless power transfer and data communication.
引用
收藏
页码:3512 / 3523
页数:12
相关论文
共 50 条
  • [31] An Energy-Autonomous and Maintenance-Free Wireless Sensor Platform with LoRa Connectivity
    La Rosa, Roberto
    Boulebnane, Lokman
    Croce, Daniele
    Livreri, Patrizia
    Tinnirello, Ilenia
    2023 12TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS, ICRERA, 2023, : 461 - 464
  • [32] Railway infrastructure condition-monitoring and analysis as a basis for maintenance management
    Jovanovic, Stanislav
    Bozovic, Dragan
    Tomicic-Torlakovic, Mirjana
    GRADEVINAR, 2014, 66 (04): : 347 - 358
  • [33] A residential maintenance-free long-term activity monitoring system for healthcare applications
    Fafoutis, Xenofon
    Tsimbalo, Evgeny
    Mellios, Evangelos
    Hilton, Geoffrey
    Piechocki, Robert
    Craddock, Ian
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2016, : 1 - 20
  • [34] INFLUENCE OF TRACK GEOMETRY CONDITION MONITORING ON RAILWAY INFRASTRUCTURE MAINTENANCE PROCESSING
    Bureika, Gintautas
    Vaiciunas, Gediminas
    Shi, Dachuan
    Zanuy, Armando Carrillo
    TRANSPORT PROBLEMS, 2022, 17 (04) : 211 - 220
  • [35] Map-supported Positioning Enables In-service Condition Monitoring of Railway Tracks
    Roth, Michael
    Baasch, Benjamin
    Havrila, Patrik
    Groos, Joern
    2018 21ST INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2018, : 2346 - 2353
  • [36] DEVELOPMENT OF MAGNETIC INDUCTION ENERGY HARVESTING FOR CONDITION MONITORING
    Roscoe, N. M.
    Judd, M. D.
    Fitch, J.
    UPEC: 2009 44TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, 2009, : 454 - +
  • [37] Energy harvesting to power embedded condition monitoring hardware
    Farinholt, Kevin
    Brown, Nathan
    Siegel, Jake
    McQuown, Justin
    Humphris, Robert
    INDUSTRIAL AND COMMERCIAL APPLICATIONS OF SMART STRUCTURES TECHNOLOGIES 2015, 2015, 9433
  • [38] RF energy harvesting system for wireless intraocular pressure monitoring
    刘德盟
    Mei Niansong
    Zhang Zhaofeng
    HighTechnologyLetters, 2015, 21 (02) : 212 - 218
  • [39] RF energy harvesting system for wireless intraocular pressure monitoring
    Liu, Demeng
    Mei, Niansong
    Zhang, Zhaofeng
    High Technology Letters, 2015, 21 (02) : 212 - 218
  • [40] A Lora-Based and Maintenance-Free Cattle Monitoring System for Alpine Pastures and Remote Locations
    Schulthess, Lukas
    Longchamp, Fabrice
    Vogt, Christian
    Magno, Michele
    PROCEEDINGS OF THE 2023 11TH INTERNATIONAL WORKSHOP ON ENERGY HARVESTING & ENERGY-NEUTRAL SENSING SYSTEMS, ENSSYS 2023, 2023, : 44 - 50