[1]郭玉龙,陈一兵.基于线阵相机的煤矿机械加工表面质量检测方法[J].机械与电子,2023,41(06):21-25.
　GUO Yulong,CHEN Yibing.Detection Method of Surface Quality of Coal Mine Machining Based on Line Scan Camera[J].Machinery & Electronics,2023,41(06):21-25.
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基于线阵相机的煤矿机械加工表面质量检测方法()

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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

Title:: Detection Method of Surface Quality of Coal Mine Machining Based on Line Scan Camera

Author(s):: GUO Yulong ; CHEN Yibing; ( CCTEG Wuhan Engineering Company , Wuhan 430064 , China)

Keywords:: coal mine belt conveyor ; line scan camera ; feature extraction ; grayscale calculation ; peak signal to noise

摘要:: 为解决当前煤矿机械经加工后表面质量检测准确率低、峰值信噪比低等问题,提出基于线阵相机的煤矿机械加工表面质量检测方法。以煤矿带式运输机中的传动滚筒为研究对象,在线阵相机提取图像的基础上,利用平滑滤波对图像进行去噪处理,避免噪声对煤矿机械加工后的表面检测结果产生影响,并采用 GLCM 模型对去噪后的图像实行特征提取,将提取的特征输入 LSTM 模型中完成特征识别分类,输出机械加工表面的质量检测结果。实验结果证明,所提方法的检测准确率高、峰值信噪比数值高。

Abstract:: In order to solve the problems of low detection accuracy and low peak signal-to-noise ratio of the current surface quality of coal mine machinery after processing , a method for surface quality detection of coal mine machinery processing based on line scan camera is proposed.In this paper , the transmission roller in the coal mine belt conveyor is taken as the research object.On the basis of the image extracted by the line scan camera , the image is denoised by smooth filtering to avoid the influence of noise on the surface detection results after the coal mine machining.The model performs feature extraction on the denoised image , and the extracted features are input into the LSTM model to complete feature recognition and classification , and output the quality inspection results of the machined surface.The experimental results show that the proposed method has high detection accuracy and high peak signal-to-noise ratio value.

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备注/Memo:: 收稿日期: 2022-08-08
基金项目:国家能源集团 2020 年第二批科技项目( GJNY-20-238 )
作者简介:郭玉龙 ( 1977- ),男,山东莒南人,硕士,高级工程师,研究方向为矿山设计咨询、工程项目管理与生产业务管理;陈一兵 ( 1977- ),男,湖南临澧人,硕士,高级工程师,研究方向为煤矿智能化设计。

更新日期/Last Update: 2023-06-26