Automatic screening method and system for automobile fastener generation

By analyzing the reflection data of the fastener end face and thread, the outer diameter ellipse offset and thread flattening are identified. Combined with the surface scratch direction information, the problem of detecting posture changes and minor defects during the fastener production process is solved, and efficient and stable automated screening is achieved.

CN121669552AActive Publication Date: 2026-03-17ZHEJIANG RUIQIANG AUTO PARTS CO LTD
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Patent Information

Application Number
CN202610173470.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-06
Publication Date
2026-03-17
Estimated Expiration
2046-02-06

AI Technical Summary

Technical Problem

Existing technologies struggle to reliably identify fastener posture changes, minute elliptical eccentricities, and thread valley flattening defects in automated screening of automotive fasteners. This leads to frequent adjustments to classification thresholds, missed or incorrect rejections during the rejection process, and limited sorting consistency.

Method used

By analyzing the reflection data of the fastener end face at the double angle, calculating the difference between the reflection peak intensity and the valley signal, identifying the outer diameter ellipse offset and thread flattening, and combining the surface scratch direction coordinate information, the offset correction is performed using the conveying speed and nozzle response lag, thus achieving accurate classification and matching.

Benefits of technology

It improves the consistency and classification stability of fastener inspection, enhances the adaptability to posture and the detectability of minor defects, and ensures the accuracy of efficient rejection.

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Abstract

The invention relates to the technical field of automatic sorting, in particular to an automatic screening method and system for automobile fastener generation, and the method comprises the following steps: judging an end face orientation through double-angle reflection, detecting outer diameter ellipse offset by using radial radius difference, judging thread flattening by combining a multi-angle valley bottom reflection attenuation sequence, and determining a scratch direction according to a surface multi-angle peak position offset track. According to the method, end face orientation classification is achieved through double-angle reflection difference, direction identification is established, elliptic offset characteristics are extracted through radial radius difference distribution, and a flattening section is positioned through a multi-incidence-angle valley bottom reflection attenuation sequence; a surface reflection peak position forms a continuous direction track in an angle sequence and outputs a scratch coordinate, defect judgment and motion time calculation are linked, sequential compensation is performed by combining a conveying speed and nozzle lag, and multi-stage pressure tracks are matched according to mass grouping, so that the posture adaptability and the fine defect detectability are enhanced, and the defect detection precision is improved. And the full-cycle detection consistency and the classification rejection stability are improved.
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