Highway construction quality detection device and method

Abstract

The present application relates to the technical field of highway construction detection, and discloses a highway construction quality detection device and method, wherein the device includes a nondestructive detection module, a preliminary analysis module, a drilling sampling point determination module, a drilling parameter determination module, and a path planning module. The nondestructive detection module performs nondestructive detection on the highway. The preliminary analysis module identifies areas where there may be problems with the strength of the highway structure. The drilling sampling point determination module uses a conditional generative adversarial network model to construct a sampling point determination model, and generates the location points of the drilling sampling points in areas where there may be problems with the strength of the highway structure. The drilling parameter determination module constructs a parameter determination model based on a convolutional neural network to obtain the parameters of the drilling configuration. The path planning module uses the A* algorithm to calculate the shortest path. The present invention further refines and analyzes possible problem areas through the preliminary analysis module, and can automatically determine the location of the drilling sampling points according to the characteristics of the highway image, with high detection accuracy and reliability.

Images