Health Monitoring of Civil Structures with Integrated UAV and Image Processing System

被引:125
|
作者
Sankarasrinivasan, S. [1 ]
Balasubramanian, E. [1 ]
Karthik, K. [1 ]
Chandrasekar, U. [2 ]
Gupta, Rishi [3 ]
机构
[1] Vel Tech Univ, Ctr Autonomous Syst Res, Madras, Tamil Nadu, India
[2] Engn Staff Coll India, Hyderabad, Andhra Pradesh, India
[3] Univ Victoria, Victoria, BC V8W 2Y2, Canada
关键词
Crack detection; Efflorescence; Image processing; Structural health monitoring; UAVs;
D O I
10.1016/j.procs.2015.06.058
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes an innovative protocol for full field mapping of a large civil structures involving effective use of Unmanned Aerial Vehicles (UAVs) to enable real time structural health monitoring. The proposed frameworks integrates UAVs, image processing and data acquisition procedures for crack detection and assessment of surface degradation. A novel approach is proposed combining hat transform and HSV thresholding technique for crack detection. In addition, grey scale thresholding is employed for the measurement of surface degradations. A Demonstration multi-rotor UAV model is developed to carry out full field inspection of civil structures and real time testing is performed in our large university campus. In order to provide sophisticated monitoring platform for users, a MATLAB Graphical User Interface (GUI) is developed to analyse real time as well as acquired images and the results are validated successfully. The obtained results confirms that, the envisaged approach is the foundation for cost effective and time compressing solution for monitoring of large civil structures. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:508 / 515
页数:8
相关论文
共 50 条
  • [31] Development of an integrated structural health monitoring system for bridge structures in operational conditions
    Zhu, Xinqun
    Hao, Hong
    FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING, 2012, 6 (03) : 321 - 333
  • [32] Development of an integrated structural health monitoring system for bridge structures in operational conditions
    Xinqun Zhu
    Hong Hao
    Frontiers of Structural and Civil Engineering, 2012, 6 (3) : 321 - 333
  • [33] An integrated UAV navigation system based on aerial image matching
    Conte, Gianpaolo
    Doherty, Patrick
    2008 IEEE AEROSPACE CONFERENCE, VOLS 1-9, 2008, : 3142 - 3151
  • [34] An integrated UAV system for wildfire evolution monitoring and data acquisition
    Heracleous, Constantinos
    Kolios, Panayiotis
    Panayiotou, Christos G.
    2022 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2022, : 1131 - 1138
  • [35] A vision system for vibration monitoring of civil engineering structures
    E. Caetano
    S. Silva
    J. Bateira
    Experimental Techniques, 2011, 35 : 74 - 82
  • [36] A VISION SYSTEM FOR VIBRATION MONITORING OF CIVIL ENGINEERING STRUCTURES
    Caetano, E.
    Silva, S.
    Bateira, J.
    EXPERIMENTAL TECHNIQUES, 2011, 35 (04) : 74 - 82
  • [37] FPGA implementation of a foveal image processing system for UAV applications
    Nagy, Zoltan
    Zarandy, Akos
    Kiss, Andras
    Nemeth, Mate
    Zsedrovics, Tamas
    2014 14TH INTERNATIONAL WORKSHOP ON CELLULAR NANOSCALE NETWORKS AND THEIR APPLICATIONS (CNNA), 2014,
  • [38] The Application of Image Processing in UAV Reconnaissance Information Mining System
    Pan, Qiufeng
    Wang, Jiaxing
    Yu, Hang
    Zhang, Wenjun
    Yue, Peng
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SENSING AND IMAGING, 2018, 2019, 606 : 41 - 51
  • [39] Research on Security Monitoring and Health Management System of UAV
    Xin, Gongcai
    Chen, Weilun
    Li, Jie
    PROCEEDINGS OF THE FIRST SYMPOSIUM ON AVIATION MAINTENANCE AND MANAGEMENT-VOL II, 2014, 297 : 631 - 639
  • [40] An integrated system for handwritten document image processing
    Kavallieratou, E
    Dromazou, N
    Fakotakis, N
    Kokkinakis, G
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2003, 17 (04) : 617 - 636