Nanjing University of Aeronautics and Astronautics

Yuxiang Wu

Dawei Li

Jun Wang

Zhongde Shan

Yuan Zhang

Cheng Yi

Shuyi Jia

Xu Xu

The present disclosure disclose a method for feature detection of complex defects based on multimodal data, including feature extraction of multimodal data, multimodal feature cross-guided learning, multimodal feature fusion, and defect classification and regression. Feature extraction networks for multimodal two-dimensional data are constructed first, and a defect data set is sent to the networks for training; during training, cross-guided learning is implemented by using a multimodal feature cross-guidance network; then feature fusion is performed by using a weight adaptive method; and finally a defect detection task is implemented by using a classification subnetwork and a regression subnetwork. In the present disclosure, fusion of the multimodal data in a process of feature detection of the complex defects can be implemented efficiently, a capability of detecting the complex defects in an industrial environment can be improved more effectively, and production efficiency in an industrial manufacturing process is ensured.

Method for feature detection of complex defects based on multimodal data

A subtle defect detection method based on coarse-to-fine strategy, including: (S1) acquiring data of an image to be detected via a charge-coupled device (CCD) camera; (S2) constructing a defect area location network and preprocessing the image to be detected to initially determine a defect position; (S3) constructing a defect point detection network; and training the defect point detection network by using a defect segmentation loss function; and (S4) subjecting subtle defects in the image to be detected to quantitative extraction and segmentation via the defect point detection network.

Subtle defect detection method based on coarse-to-fine strategy

An inspection device for subway tunnel based on three-dimensional laser scanning includes a three-dimensional laser scanner, an adaptive structure of a track trolley, a power control module for the track trolley, a photoelectric sensor and a body of the track trolley. The power control module is arranged on the body. A support rod is vertically arranged on the power control module, and the three-dimensional laser scanner is mounted at a top of the support rod. The adaptive structure is symmetrically arranged at two sides of the body of the track trolley, and the photoelectric sensor is arranged in the body of the track trolley. The inspection device is designed to be modular, which is convenient to carry and repair, and easy to mount. In addition, the inspection device has low labor cost due to less manual intervention, and the inspection efficiency can be improved.

Inspection device and method for subway tunnels based on three-dimensional laser scanning

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Jiangsu, China

Yuxiang Wu