Concrete Crack And Surface Deformation Inspection Technology Of Road Construction Based On Digital Image

These years, exploration and research about the digital image comes to a newera while crack detection of concrete construction and deformation monitoringof slope surface are advanced rapidly. Only studying and applying the digitalimage technology about crack detection and deformation monitorin, making abreakthrough on the key issue, and improving traditional manner of bridge crackdetection and slope deformation monitoring can the safety confidence level oftraffic be increased more and more, sustaining development and spanningdevelopment of transportation be realized. Therefore, research on the keyinspection technology of concrete bridge crack and slope surface deformationbased on digital image is timely and necessary, and the reality significance ofthis research is great.The paper aims at the inspection of bridge crack and slope deformation in thepresent age, researches on several significant key techniques. The mode ofbridge crack detection and slope monitoring is has been changed, and asignificant breakthough and innovation of means and methds in process of thisresearch have been made.In this dissertation, several characters of concrete bridge crack and slopedeformation are presented, i.e. the crack type, the crack width, the crackevaluation, and the slope deformation type, the stability calculation and so on. Anew inspecting system of bridge crack and slope deformation with digital imagetechnique, which consists of “3main-body modules and3function modules”,and some significant actions such as system design, camera installation,and dataprocessing have been proposed based on the key technologies studied above.In process of crack detection of concrete bridge, some image processingalgorithms including gray processing of image, calculation of pixel rate, imagenoise filter, and edge detection of crack have been analyzed and evaluated forthe crack detection of concrete surface. The research results have indicated thatthis method can effectively detect the width of crack for reinforced concretebridges and the B type prestressed concrete bridges, and the accuracy of crackwidth reaches0.1mm with15cases of bridge video images.A non-contact monitoring technique based on binocular video cameras wasproposed to monitor highway steep slopes. This technique was aimed at the3Dword coordinate of object points on slope surface, according to cameraparameters and image coordinates of object points. Test result using a simulationslope was described. Six object points slided down100mm performed slopemonitoring with a better accuracy. The experiment results that the standard erroris less than3mm and the relative error is2.85%.A computer program was developed by visual C++6.0programming language to implement the technique studied above. The system will be applied to nationalhighway G205reconstruction engineering to inspect bridge cracks and slopedeformation in Huizhou city, which will lead the way the other national highwayreconstruction in China.In the subsequent work, the significant key technique and brand new inspectingsystem of bridge crack and slope deformation will still be undertaken test inpractice. The method should be enriched, perfected, and developed so as toaccommodate the inspecting of bridge crack and slope deformation to differentarea and different condition.