Exploration Of Vehicle Bridge Safety Detection Platform Based On Image Engineering

This paper is relied on a Natural Science Foundation Project of Chongqing(No.cstc2012jjB0118): study of bridge surface sensing method and evaluation theory ofsafety, which is assumed by my supervisor Professor Zhou Zhixiang. A concept of"vehicle bridge safety inspection platform (VBSIP)" is proposed and preliminarilyresearched by summarizing the interrelated research status at home and abroad. Thispaper is related to bridge engineering, mechanical engineering, image engineering,computer science and other disciplines.The main contents and conclusions are asfollows:①By analyzing the content and position of bridge safety inspection, the functionsand technical indicators of VBSIP are defined. The overall layout and link among thevarious components of platform are also studied. The VBSIP is a new bridge safetyinspection equipment basing on image engineering and comprising of the arm frame,the visual monitoring system of bridge health and so on, which is suitable for the safetyinspection of the conventional concrete girder and arch bridges.②On the basis of the current mechanical design, this paper puts forward designmethod and basic principles of the mechanical parts of VBSIP. The arm frame isdesigned by transformation of the mature jib structure of concrete pump truck. Theconnection structure between arm frame and chassis is a360degree rotation bracketmounting seat. The chassis of detecting platform is a modification design with thesecond type of chassis. The stability of chassis is improved by setting some hydrauliccylinder liquid springs and balance wheels; the SIMULINK component of MATLAB isused on the simulation of the three-grade rigidity coil spring suspension system ofchassis. Results show that the three-grade rigidity coil spring suspension system has asignificant reduction of the self-vibration of VBSIP.③Basing on the technology of information acquisition for bridge diseaseaccording to the apparent image, this paper proposed a combination application of thegeneralized structure element and extended morphology filter in bridge diseaseinformation recognition. Besides, a visual monitoring system of bridge health isdeveloped by C#programming language, the vector storage and analog reconstructionmethods are put forward to reduce the data storage.④A field test was performed concerning the image acquisition of bridge bottom disease with the given equipments, the results verified that the image acquisition meetsthe requirements of the bridge health inspection, and it can help to recognize thespecific situation of bridge structure surface. The collected images are spliced andreorganized through three-dimensional modeling technology based on bridge apparentinformation. The dynamic image acquisition and processing tests were performed, andthen the static and dynamic image acquisition were analyzed and compared. Resultsindicate that the effectiveness of dynamic acquisition is relatively poor, but it does nothamper the analysis of image processing, and it can be improved by controlling thedetection speed and improving the frame rate.