Research And Application Of Non-Metric Camera Photogrammetry In The Alignment Of The Bridge Monitoring

Construction and maintenance of the bridge is an important part of our infrastructure. Bridge’s maintenance and management to bridge’s safety and security of life have a great importance.China has more and more attention to the serious consequences of the harm that the deformation of bridge brings. In the operation of the bridge diserses, The general approach to measure deformation monitoring is Settlement Level and Total Station. These conventional technical methods, low efficiency, high labor intensity outside the industry, interfere with the transportation, big impact on the monitoring results, the higher cost of monitoring. For different types of bridges, should monitor the use of cost-effective method to determine the scientific governance program, quickly and accurately measure the health status of the bridge, to ensure safe operation of the bridge. Based on the status of bridge deformation monitoring, this paper using the basic principles of close-range photogrammetry, research and monitoring accuracy performance digital cameras for monitoring linear bridges, gathering outside the industry to achieve fast, low cost, continuous monitoring.In order to improve bridge linear monitoring methods, we use close-range photogrammetry method,and the application of non-metric digital camera for linear bridge monitoring, Establishing a monitoring system that based on a close-range photogrammetry theory and non-metric digital camera, obtained from the image data extraction, camera calibration, data processing, and other results of the output and analysis capabilities.In this paper, there are two control methods were used, control points and the relative control. when the camera is calibrated, by the excess control points involved in computing the camera to improve the accuracy and reliability of detection. When the bridge experiments using relatively controlled, diversify means of control, to simplify and reduce the field controller workload.Digital camera calibration using the direct linear transformation algorithm, experiments show the accuracy and reliability of the orientation element solver and related parameters in this method. Establishing a relatively perfect camera calibration system, from high-precision three-dimensional indoor testing ground to highly accurate pixel acquisition software,to the camera calibration procedures. It can meet the fixed focus, zoom and other non-metric camera calibration.Using indoor calibration field simulation experiments show that through close-range photogrammetry method can achieve linear bridge monitoring accuracyin the high-precision control field.