A 3D printing anomaly detection and early warning method based on machine vision

Through machine vision-based 3D printing abnormality detection and early warning methods, the width and crack area of ​​concrete strips are detected in real time, and the parameters of printing equipment are adjusted using a comprehensive error function, which solves the problem of difficult to adjust the printing quality variation in 3D printing concrete technology, and improves the printing quality and real-timeness.

CN119067976BActive Publication Date: 2025-03-25QINGDAO AGRI UNIV
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Patent Information

Application Number
CN202411562066.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-05
Publication Date
2025-03-25
Estimated Expiration
2044-11-05

AI Technical Summary

Technical Problem

In 3D printing concrete technology, it is difficult for the printing system to independently judge and adjust the printing quality variation in time, resulting in a decrease in yield and quality, increasing post-processing costs and time.

Method used

Using machine vision-based 3D printing abnormality detection and early warning methods, the image data of concrete strips are obtained for pre-processing, the width and crack area of ​​concrete strips are detected, and whether there is any abnormality in printing is determined, and the parameters of the 3D printing equipment are adjusted using the comprehensive error function.

Benefits of technology

Real-time detection of print quality, timely warning and parameter adjustments are achieved, the accuracy and real-timeness of print quality are improved, and the cost and time of post-processing are reduced.

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Abstract

The present invention relates to the technical field of 3D printing anomaly detection, and specifically to a 3D printing anomaly detection and early warning method based on machine vision. The method comprises: processing the image to be detected to obtain the width and crack area of ​​the concrete strip respectively, and then obtaining the crack degree parameter; judging whether the printing is abnormal according to the width and crack area of ​​the concrete strip; if the printing is abnormal, obtaining a comprehensive error function based on the crack degree parameter and the width of the concrete strip; adjusting the parameters of the 3D printing device using the comprehensive error function; collecting the torque value of the current preset time period to form a current torque sequence; using the historical torque value when printing is abnormal to form a historical torque sequence; calculating the similarity between the current torque sequence and the historical torque sequence; updating the initial detection interval of the image detection according to the similarity; and performing subsequent detection according to the updated initial detection interval. The present invention can improve the quality of concrete 3D printing.
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