Anticorrosive coating damage distinguishing system and assessment method thereof

The invention provides an anticorrosive coating damage distinguishing system, which comprises a camera shooting device, an unmanned aerial vehicle and a server terminal, wherein the camera shooting device is installed on the unmanned aerial vehicle; the output end of the camera shooting device is co...

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Bibliographic Details
Main Authors LU CHUANZHONG, ZHANG JIANDONG, ZHANG YUNCHEN, YANG HAITONG, GAO NAIXIANG, ZHOU JINQIANG, LIU DUO, MA ZHIHUA
Format Patent
LanguageEnglish
Published 13.01.2016
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Summary:The invention provides an anticorrosive coating damage distinguishing system, which comprises a camera shooting device, an unmanned aerial vehicle and a server terminal, wherein the camera shooting device is installed on the unmanned aerial vehicle; the output end of the camera shooting device is connected with the server terminal; and a coating damage category memory, a damage grading standard memory, an image processor connected with the output end of the camera shooting device, and an image comparison recognizer are arranged in the server terminal, wherein the image comparison recognizer carries out comparison recognition on an output result of the image processor on the basis of data stored in the coating damage category memory and the damage grading standard memory. The anticorrosive coating damage distinguishing system abandons a traditional way that a damage surface layer image is artificially collected, adopts the unmanned aerial vehicle to load the camera shooting device to collect image data, and carries out processing and recognition on the images collected by camera shooting in virtue of the server terminal so as to obtain a coating damage position, a coating damage category and a coating damage level. A damage assessment method based on the damage distinguishing system is stable and reliable in assessment result and provides a decision basis for recoating and steel structure maintenance management.
Bibliography:Application Number: CN201510741768