Ground radar automatic precise positioning device and method for tunnel defect detection

Abstract

The invention discloses an automatic accurate positioning device and method of geological radar for detecting tunnel defects. The device comprises a geological radar antenna, a speed sensor, a geological radar host and a controller, wherein the geological radar antenna is provided with a speed sensor; the speed sensor is connected with the geological radar host through a cable; the controller is communicated with the geological radar antenna and the geological radar host; the controller is used for sending dotting signals in a detection process of tunnel linings; the radar host is used for recording marking points corresponding to the dotting signals, recording a moment speed of each marking point to generating a time point so as to obtain a distance between the adjacent marking points, and calculating actual position and mileage of each marking point and the geological radar antenna at each moment according to a starting mileage. According to the automatic accurate positioning device and method disclosed by the invention, the accuracy of the marking points is improved, and marking errors caused by the fact that the movement speed is not uniform in a detection process and the like are avoided; the accurate correspondence between the marking points and the actual mileage is realized and the accuracy of forecasting is enhanced.

Description

technical field [0001] The invention relates to a ground radar automatic and precise positioning device and method for tunnel defect detection. Background technique [0002] Geological radar technology has been widely used in tunnel lining quality inspection in recent years. Through the analysis of geological radar signals, indicators such as the distribution of steel bars, lining thickness, and void behind the wall can be identified. However, due to the poor detection environment in the tunnel and many influencing factors, the marked points have errors, resulting in ambiguity in the positioning of the ground radar, and in the later data processing, the prediction is usually made according to the preset distance between the marked points, while the distance between the actual marked points The distance between them cannot be accurately measured, and it is easy to cause inaccurate predicted bad construction positions, which will have a great impact on subsequent repair measur...

AI Technical Summary

Problems solved by technology

However, due to the poor detection environment in the tunnel and many influencing factors, the marked points have errors, resulting in ambiguity in the positioning of the ground radar. In addition, in the later data processing, the prediction is usually made according to the preset distance between the marked points, while the distance between the actual marked points The distance between them cannot be accurately measured, which may easily lead to inaccurate predicted bad construction locations, which will have a great impact on subsequent repair measures such as grouting

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