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

被引：129

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

来源：

ELEVENTH INTERNATIONAL CONFERENCE ON COMMUNICATION NETWORKS, ICCN 2015/INDIA ELEVENTH INTERNATIONAL CONFERENCE ON DATA MINING AND WAREHOUSING, ICDMW 2015/NDIA ELEVENTH INTERNATIONAL CONFERENCE ON IMAGE AND SIGNAL PROCESSING, ICISP 2015 | 2015年 / 54卷

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

页码：508 / 515

页数：8

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