Journal of South China University of Technology(Natural Science Edition) ›› 2021, Vol. 49 ›› Issue (12): 113-123.doi: 10.12141/j.issn.1000-565X.210016

Special Issue: 2021年交通运输工程

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Standardized batch-processing method for manual-marked apparent damage data of structures

DONG Yiqing1 WANG Dalei1 PAN Yue2 LI Xiaoya3#br#

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  1. 1. College of Civil Engineering, Tongji University, Shanghai 200092, China;2. College of Electronic and Information 
    Engineering, Tongji University, Shanghai 201804, China;3. Zhejiang Scientific Research 
    Institute of Transport, Hangzhou 311305, Zhejiang, China
  • Received:2021-01-13 Revised:2021-04-16 Online:2021-12-25 Published:2021-12-01
  • Contact: 潘玥(1988-),男,博士,讲师,主要从事土木工程与计算机科学交叉理论和应用研究。 E-mail:pan_yue@tongji.edu.cn
  • About author:董一庆(1995-),男,博士生,主要从事桥梁养护管理理论、土木数字图像处理研究。
  • Supported by:
    Supported by the National Natural Science Foundation of China(51978514)

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Abstract: Manual inspection is one of the main tasks in the management and maintenance of bridges. The inspection results of various damages provided by manual visual inspection or measurement is the key basic data for the decision-making of bridge operation and maintenance. However, due to the lack of standardized batch-processing method for manual inspection data, this kind of data is not fully utilized in the past practice. With the traditional methods, the process of those data is laborious, high cost and low timeliness. Therefore, these methods can not meet the requirements of bridge management and research. In consideration of those massive original damage data collected by manual inspection, this study proposed a standardized manual-marked pavement damage data-processing method based on image processing. Firstly, the labeled electronic CAD data was collected by manual inspection, and the damage formed image rasterization batch-processing was carried out to produce the damage distribution bitmap divided by the anchor points of suspenders (or stay cables). Secondly, the area, length and other information of the damage were extracted through the searching and assessment of the image connected components. Finally, the standardized data was processed, analyzed and output by the computer according to the grid labels in no time, and the damage data analysis was carried out, which including damage type analysis, location analysis, horizontal distribution analysis and vertical distribution analysis. The proposed method realizes the rapid and standardized big data processing and collation of manual inspection damage data, and provides an effective basic data processing method for the related researches and targeted guidance of bridge maintenance. In addition, the proposed standardized batch-processing method is quite portable and can provide reference for the processing and analysis of large amount and wide range of other component damage data and other types of data in manual inspection.

Key words:

bridge maintenance and management, manual inspection, deck pavement, damage data, image processing, standardized batch-processing method

CLC Number: