Sewer line internal defect identification method and system

The invention relates to a water pipeline internal defect identification method and system, and the method comprises the steps: S1, collecting a pipeline internal image, carrying out the data cleaning, screening out an effective pipeline defect image, marking the effective pipeline defect image acco...

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Bibliographische Detailangaben
Hauptverfasser: ZHANG YUXUAN, SONG WENJIE, LU JINGYI, SHEN QIANYI, XU MENGYUAN, CHENG HANYU, ZHAO SHUNYI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention relates to a water pipeline internal defect identification method and system, and the method comprises the steps: S1, collecting a pipeline internal image, carrying out the data cleaning, screening out an effective pipeline defect image, marking the effective pipeline defect image according to a preset pipeline defect type, and obtaining a marked data set; step S2: carrying out preprocessing on the marked data set; s3, training the improved YOLOv5 model by using the preprocessed data set, so as to obtain a trained YOLOv5 model; and S4, identifying an internal image of a to-be-detected pipeline through the trained YOLOv5 model to obtain an identification result. According to the invention, the internal defects of the water pipeline can be effectively identified. 本发明涉及一种水管道内部缺陷识别方法和系统,其中,方法包括:步骤S1:采集管道内部图像,进行数据清洗并筛选出有效的管道缺陷图像,按照预先设置的管道缺陷类型对有效的管道缺陷图像进行标注,得到标注好的数据集;步骤S2:对标注好的数据集进行预处理;步骤S3:利用预处理后的数据集对改进的YOLOv5模型进行训练,得到训练好的YOLOv5模型;步骤S4:通过所述训练好的YOLOv5模型对待检测的管道内部图像进行识别,得到识别结果。本发明能够对水管道内部缺陷进行有效识别。