Tunnel steel bar detection and counting system and method based on radar detection images

Abstract

The invention discloses a tunnel steel bar detection and counting system and method, wherein the system comprises: an image preprocessing module, which is used for image preprocessing on an input original image of ground-based radar waves; a steel bar key point detection module is used for The original image of the ground radar wave after image preprocessing is used to detect the key points of the steel bar pixels; the key curve fitting module of the steel bar layer is used to fit the detected key points of each steel bar pixel into the key curve of the steel bar layer; the peak position of the key curve of the steel bar layer is identified The module is used to identify the position of the wave crest in the key curve of the reinforcement layer; the reinforcement bar counting module is used to use the identified wave crest as the position of the reinforcement bar, and by counting the number of the peaks as the reinforcement number and storing, the tunnel reinforcement detection and counting system provided by the present invention The steel bar can be automatically identified and counted on the original image of the geological radar wave, which improves the efficiency and accuracy of the steel bar identification and detection.

Description

technical field [0001] The invention relates to the technical field of engineering quality inspection, in particular to a tunnel steel bar detection and counting system and a counting method based on radar detection images. Background technique [0002] The construction quality of tunnel engineering affects the safety of railway operation, and a large number of railway tunnels. The disease shows that the lack or insufficient thickness of reinforcement, steel frame and lining is an important reason for the occurrence of tunnel diseases. Therefore, in the process of engineering quality inspection and acceptance of the tunnel, it is necessary to test whether the number of reinforcement bars or steel frames in the tunnel meets the construction standards. The existing detection method is that engineering quality inspectors enter the tunnel with ground radar scanning equipment in hand, and collect radar detection images along the radial direction of the tunnel. Quantities are ma...

AI Technical Summary

Problems solved by technology

Since the tunnels are usually very long and the number of radar detection images collected is huge, the process of manually identifying and counting steel bars is complicated, time-consuming, laborious, and inefficient

Moreover, the identification of steel bars largely depends on the quality inspection experience of quality inspectors, and the accuracy of identification cannot be guaranteed.

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