Bridge steel cable fracture detection method and system
A detection method and steel cable technology, applied in neural learning methods, image data processing, instruments, etc., can solve problems such as low safety, low accuracy, and low efficiency, and achieve the effect of improving computing efficiency and detection accuracy
Inactive Publication Date: 2022-04-29
科大天工智能装备技术(天津)有限公司
View PDF2 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the traditional detection method is usually based on manual site survey, which has the defects of low accuracy, low efficiency and extremely low security
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0049] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0050] figure 1 It is a schematic flow chart of the bridge steel cable fracture detection method of the present invention. Such as figure 1 As shown, the bridge steel cable fracture detection method of the prese...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to a bridge steel cable fracture detection method and system, and belongs to the field of image detection. The method comprises the following steps: obtaining a Faster-RCNN-based network model; replacing a backbone network of the feature extraction network with a residual network, and replacing a fifth convolutional layer of the residual network with a SENet attention module; improving a non-maximum suppression algorithm in the regional recommendation network to obtain a defect detection model; acquiring a to-be-detected bridge steel cable image; the to-be-detected bridge steel cable image comprises an RGB image and a depth image; the RGB image and the depth image are fused, and a fused image is obtained; and inputting the fused image into the defect detection model to obtain a defect detection result of the bridge steel cable to be detected. According to the invention, the accuracy and efficiency of bridge cable fracture detection can be improved.
Description
technical field [0001] The invention relates to the field of image detection, in particular to a bridge cable fracture detection method and system. Background technique [0002] Bridge steel cables are composed of high-strength steel wires, which have excellent tensile strength and are often used as the main force-bearing components of long-span bridges. However, the mechanical properties of high-strength steel wires will decline significantly with the appearance of corrosion. There have been many steel wires caused by corrosion. Corrosion-induced cable breakage accidents. Therefore, timely detection of bridge cable damage can avoid major accidents. However, traditional detection methods are usually based on manual site surveys, which have the defects of low accuracy, low efficiency and extremely low safety. Contents of the invention [0003] The purpose of the present invention is to provide a bridge cable fracture detection method and system to improve the accuracy and...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06T7/00G06K9/62G06N3/04G06N3/08G06V10/764G06V10/80G06V10/774G06V10/82
CPCG06T7/0002G06N3/08G06T2207/20081G06T2207/20084G06T2207/20221G06T2207/20104G06N3/045G06F18/241G06F18/253G06F18/214
Inventor 张波张超钱浩
Owner 科大天工智能装备技术(天津)有限公司