Structural Health Monitoring of Gantry Crane Based on EDGE Technology

被引:3
|
作者
Huang Guojian [1 ,2 ,3 ]
Wang Donghui [4 ]
Wang Weixiong [3 ]
Wang Xinhua [3 ]
机构
[1] Sun Yat Sen Univ, Sch Engn, Guangzhou 510275, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Inst Dongguan, Dongguan, Peoples R China
[3] GZSEI, R&D Ctr, Guangzhou, Peoples R China
[4] SCUT, Sch Mech & Automotive Engn, Guangzhou, Peoples R China
来源
MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3 | 2013年 / 333-335卷
基金
中国国家自然科学基金;
关键词
Structural Health Monitoring; EDGE; GPRS; Internet of Things;
D O I
10.4028/www.scientific.net/AMM.333-335.1629
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The closely combination of Internet of Things and on-site monitoring and control technology is the development tendency of the site monitoring and control technology, especially the special equipment safety monitoring technology. EDGE technology is one way of Internet of Things technology realization. EDGE technology is a digital mobile phone technology which allows improved data transmission rates as a backward-compatible extension of GSM. It is also considered as a pre-3G (2.75G) radio technology and is part of ITU's 3G definition. It is used as one of the aims of the project which allows the operators to keep abreast of the crane operation status. Then a software platform is developed to monitor the real-time stress. A software platform is developed via a lot of preliminary work as mentioned above. The information is collected by FBG sensors and transmitted to the demodulator, and then the software calculates strain by a formula given in. Finally we acquire the real-time stress in different parts of the crane. If the real-time stress exceeds the allowable stress, it issues an alarm signal to the operator.
引用
收藏
页码:1629 / +
页数:2
相关论文
共 50 条
  • [41] Application of Edge Computing in Structural Health Monitoring of Simply Supported PCI Girder Bridges
    Lin, Yi-Ching
    Hsiao, Chin-Yu
    Tong, Jian-Hua
    Liao, Chih-Pin
    Song, Shin-Tai
    Tsai, Hsin-Chu
    Wang, Jui-Lin
    SENSORS, 2022, 22 (22)
  • [42] Synchronization of IoT layers for Structural Health Monitoring
    Lamonaca, F.
    Sciammarella, P. F.
    Scuro, C.
    Carni, D. L.
    Olivito, R. S.
    2018 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR INDUSTRY 4.0 AND IOT (METROIND4.0&IOT), 2018, : 89 - 94
  • [43] Structural health monitoring for smart composites using embedded FBG sensor technology
    Lau, K. -T.
    MATERIALS SCIENCE AND TECHNOLOGY, 2014, 30 (13A) : 1642 - 1654
  • [44] Concrete implantable bar enabled smart sensing technology for structural health monitoring
    Yang, Ziqian
    Li, Yang
    Sang, Xiaohan
    Ding, Yewei
    Ma, Bin
    Chen, Qingjun
    Kong, Qingzhao
    CEMENT & CONCRETE COMPOSITES, 2023, 139
  • [45] Research progress of flexible piezoresistive strain sensing technology in structural health monitoring
    Weng S.
    Zhang Z.
    Gao K.
    Zhu H.
    Jianzhu Jiegou Xuebao/Journal of Building Structures, 2024, 45 (07): : 242 - 261
  • [46] Towards a practical structural health monitoring technology for patched cracks in aircraft structure
    Baker, Alan
    Rajic, Nik
    Davis, Claire
    COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2009, 40 (09) : 1340 - 1352
  • [47] Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
    Malekloo, Arman
    Ozer, Ekin
    AlHamaydeh, Mohammad
    Girolami, Mark
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2022, 21 (04): : 1906 - 1955
  • [48] On risk-based active learning for structural health monitoring
    Hughes, A. J.
    Bull, L. A.
    Gardner, P.
    Barthorpe, R. J.
    Dervilis, N.
    Worden, K.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 167
  • [49] Structural Health Monitoring in composites based on probabilistic reconstruction techniques
    Memmolo, V.
    Ricci, F.
    Boffa, N. D.
    Maio, L.
    Monaco, E.
    2ND INTERNATIONAL SYMPOSIUM ON DYNAMIC RESPONSE AND FAILURE OF COMPOSITE MATERIALS, (DRAF 2016), 2016, 167 : 48 - 55
  • [50] Structural Health Monitoring strategies based on the estimation of modal parameters
    Di Lorenzo, Emilio
    Manzato, Simone
    Peeters, Bart
    Marulo, Francesco
    Desmet, Wim
    X INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (EURODYN 2017), 2017, 199 : 3182 - 3187