波纹管管面缺陷检测方法及其设备

By combining a multi-feature closed-loop judgment system with tracer gas color detection, ultrasonic detection, and image morphology analysis, the problem of distinguishing between cracks and pores in the detection of defects on the surface of corrugated pipes has been solved, achieving efficient and accurate detection of the surface of corrugated pipes.

CN121385100BActive Publication Date: 2026-07-17TIANJIN YONGGAO PLASTIC IND DEV CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TIANJIN YONGGAO PLASTIC IND DEV CO LTD
Filing Date
2025-12-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing corrugated pipe surface defect detection technologies cannot effectively distinguish between cracks and pores, and have insufficient ability to identify bubble defects, resulting in a high false judgment rate and failing to meet the inspection needs of mass production lines.

Method used

By combining tracer gas color detection, ultrasonic detection, and image morphology analysis, a closed-loop judgment system with multiple features and verifications is constructed through color feature extraction, ultrasonic signal processing, and image processing. Combined with directional air blowing verification, accurate identification of defects on the surface of corrugated pipes is achieved.

Benefits of technology

It enables accurate differentiation of cracks, pinholes, and bubbles, reduces the false positive rate, improves the reliability and efficiency of detection, and meets the needs of batch production line inspection.

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Abstract

本发明公开了波纹管管面缺陷检测方法及其设备,通过示踪气体颜色检测、超声检测、图像形态分析及定向吹气验证四大核心技术,构建多特征多验证闭环判定体系。针对裂纹、细孔缺陷,结合示踪气体颜色特征与连续采集点线性分布分析,实现缺陷类型精准区分,解决传统检测痛点;针对气泡缺陷,经超声多特征及SVM模型初步定位、图像形状特征验证,再通过定向吹气形变特征确认,彻底区分真实气泡与伪缺陷。各环节基于大量样本统计设定阈值区间,保障判定可靠性。同时引入波纹管折叠或者展开状态判断机制,针对性配置差异化权重,折叠状态以形状特征为主导抗干扰,展开状态以颜色和超声特征为主导,适配全工况,提升检测精准性与适用性。
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