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| 轮胎半成品部件截面气孔率检测设备的应用 |
| Application and Research of Detection Equipment for Porosity of Cross-section of Semi-finished Components of Tire |
| Received:July 24, 2024 Revised:July 24, 2024 |
| DOI：10.12135/j.issn.1006-8171.2025.07.0431 |
| 中文关键词: 轮胎；半成品部件；气孔率；机器视觉；深度学习；C＋＋语言 |
| 英文关键词: tire；semi-finished component；porosity；machine vision；deep learning；C＋＋ programming language |
| 基金项目: |
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| Author Name | Affiliation | E-mail | | YU Junjun* | Zhongce Rubber（Tianjin）Co.，Ltd. | yujunjun_1@163.com | | WANG Qian | Zhongce Rubber（Tianjin）Co.，Ltd. | | | WANG Bo | Hangzhou Ruiyan Technology Co.，Ltd. | | | CHEN Linfeng | Hangzhou Ruiyan Technology Co.，Ltd. | |
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| 中文摘要: |
| 介绍轮胎半成品部件截面气孔率检测设备及其应用。该设备基于C＋＋语言和QT架构，利用机器视觉、图像处理以及YOLO系列的深度学习算法，对半成品部件截面的气孔进行检测识别，可提取出气孔以及拍摄到的整个截面的像素面积，从而计算出气孔率，在保证检测精度的同时极大地提高了工作效率。 |
| 英文摘要: |
| The detection equipment for porosity of cross-section of semi-finished components of tire and its application were introduced.Based on C＋＋ programming language and QT framework，this equipment used leveraging machine vision，image processing and YOLO series deep learning algorithms to detect and identify pores on the cross-sections of semi-finished components of tire.It could extract the pixel areas of both the detected pores and the entire captured cross-section，thus the porosity was calcultated.The detection accuracy was ensured as well as the work efficiency was significantly improved. |
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