A method for detecting whether a fastener is loose

Abstract

The invention discloses a detection method, a system storage medium and a computer device for an anti-loosening mark of a fastener, wherein the method comprises the following steps: acquiring the three-dimensional point cloud data of the fastener to be measured; extracting the three-dimensional point cloud data to be measured point cloud data and the feature points in the pre-stored sample three-dimensional point cloud data, and register all the feature points in the three-dimensional point cloud data to be measured with all the feature points in the three-dimensional point cloud data of the sample; Segment the three-dimensional point cloud data to be measured and the three-dimensional point cloud data of the sample, and retain the effective data area containing the anti-loosening mark; compare the feature points in the two effective data areas after the segmentation, according to Whether there is a difference in the feature points in the two valid data areas, and judge whether the anti-loosening mark is deflected. The invention can effectively find the position of the fastener that is often or easily loosened, and then can provide effective data for the improvement of the location or structure where the fastener is applied, and has high practicability.

Description

technical field [0001] The invention relates to the field of imaging detection and processing, in particular to a detection method, a system storage medium and computer equipment for anti-loosening marks of fasteners. Background technique [0002] At present, the commonly used connection and fastening method for subway vehicles is threaded connection, which relies on the threaded pair to carry the load. The biggest advantage of this fastening method is that it is more convenient and practical to disassemble. However, the existing vibration problem will inevitably lead to the deterioration of the operating condition of the equipment, and even cause damage to the components, which will seriously endanger the driving safety. Therefore, the most important link and prerequisite for vehicle overhaul and maintenance is good fastening. In view of this situation, it is particularly important to choose a reliable and feasible fastening method. At this time, it is necessary to take co...

AI Technical Summary

Problems solved by technology

The problem with this method is that there are hundreds of thousands of images for one train, and the captured images are almost all fasteners covered by stains and dust

Since there are very few anomaly detection images, the training for anomalies is insufficient, making it difficult to accurately detect anomalies

[0003] Disadvantages of the traditional anti-loose identification method: 1. It is time-consuming and labor-intensive to rely on human eyes, and in general, the detection environment is relatively harsh, which will affect people's health

At the same time, if there are a lot of tasks, there will be a lot of waste of human resources

2. If the anti-loose label is covered by stains, dust, etc., human eyes cannot complete the recognition work, and the existing 2D image technology based on color recognition cannot be accurately recognized and judged due to stains and other reasons

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