Preprint Article Version 1 This version is not peer-reviewed

Improvement Measures for Bridge Inspection Efficiency Using Spatial Information Technology

Version 1 : Received: 21 May 2018 / Approved: 22 May 2018 / Online: 22 May 2018 (10:09:37 CEST)

How to cite: LEE, J.K.; Kim, M.J.; Kim, J.O.; Kim, J.S. Improvement Measures for Bridge Inspection Efficiency Using Spatial Information Technology. Preprints 2018, 2018050297 (doi: 10.20944/preprints201805.0297.v1). LEE, J.K.; Kim, M.J.; Kim, J.O.; Kim, J.S. Improvement Measures for Bridge Inspection Efficiency Using Spatial Information Technology. Preprints 2018, 2018050297 (doi: 10.20944/preprints201805.0297.v1).

Abstract

The economic development and infrastructure of a nation are closely interrelated. In addition, public trust in national infrastructure facilities is closely linked to the preservation of the advantages provided by these facilities to the public. Since the 1970s, Korea has achieved exponential economic growth over a short period of time and the number of infrastructure facilities has increased correspondingly. This compressed economic development has been underpinned by the national infrastructure, whose safety and usability have been excluded from the scope of the development. However, after around 30 years, structural deterioration coupled with general insensitivity to safety in today’s society has considerably reduced public trust in using the infrastructure. Realistically, policies that mainly focus on developing new technologies related to infrastructure construction have led to practical limitations that discourage the development of technologies for maintenance or inspection. Furthermore, current maintenance works face certain limitations caused by various reasons: insufficient budget, increasing number of infrastructure facilities requiring maintenance, shortage of manpower, and rapidly increasing number of aging infrastructure facilities. To overcome these limitations, a new approach is required that is different from general inspection methods under the existing rules and regulations. In this context, this study aimed to explore the efficiency of bridge inspection and maintenance by unmanned aerial vehicles (UAVs) that could observe inaccessible areas, could be conveniently and easily controlled, and could offer high economic benefits. To this end, various tests were performed on elevated bridges, and suitable UAV images were obtained. The obtained UAV images were inspected by using machine vision technology, thereby excluding subjective evaluations by humans. Methods for enhancing the objectivity of the inspection were also discussed. The test results showed that both the efficiency and objectivity of the proposed method were better than those of the existing bridge maintenance and inspection methods.

Subject Areas

bridge maintenance and inspection; UAVs; machine vision

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