本文選題：80m標準裝置 + 寬線紋量具　； 參考：《中國計量學院》2016年碩士論文

【摘要】：寬線紋量具是長度量值傳遞的重要工具,在我國每年都有大批量寬線紋量具需要進行示值誤差校準。傳統(tǒng)寬線紋量具的校準方式主要依靠人眼瞄線實現(xiàn),需要校準人員配合完成,不僅工作量大,并且校準結果存在主觀因素的影響�；跈C器視覺實現(xiàn)寬線紋量具的自動化校準是寬線紋量具校準技術發(fā)展的主要方向,其中寬線紋量具的自動瞄準是該技術的核心。針對目前對大批量寬線紋量具的自動瞄準存在的定位不準、重復性較差的問題,本文的主要研究工作如下:首先,分析了寬線紋量具的特征及校準要求,研究探討了寬線紋量具自動化校準的關鍵技術及要求,詳細分析了數(shù)字圖像處理技術在寬線紋量具自動化校準技術中的應用及其影響。其次,基于80m大長度標準裝置,采用圖像無線傳輸方式,搭建了寬線紋量具圖像采集系統(tǒng),并利用C#開發(fā)了軟件操作系統(tǒng),實現(xiàn)了無拖鏈、供電一體化的寬線紋量具的自動化校準。再者,分析探討了寬線紋量具的圖像噪聲及線紋邊緣特征,分別采用了差分式鄰域極值中心線提取算法、基于最小二乘擬合取交點的中心線提取算法及基于Sobel算子鄰域極值的中心線提取算法,以滿足對不同類型的寬線紋量具線紋中心線提取。分析了像素標定系數(shù)與行程的關系,在同樣的視場中,較大行程下計算得到的像素標定系數(shù)可靠性更高。針對三等標準金屬線紋尺、標準鋼卷尺、因瓦條碼水準尺等做了校準實驗,實驗結果表明整套系統(tǒng)能夠滿足對寬線紋量具的自動化校準。最后,對系統(tǒng)的標準不確定度進行了評定。其中三等標準金屬線紋尺的標準不確定度為u_c=0.86μm+1.5×10~(-6)L,擴展不確定度U=1.72μm+3.0×10~(-6)L,標準鋼卷尺校準標準不確定度u_c=1.32μm+1.2×10~(-6)L,擴展不確定度U=2.64μm+2.3×10~(-6)L。
[Abstract]:The wide line grain measuring tool is an important tool for the transmission of the long measure value. Every year a large number of wide line grain gauges need to be calibrated for the indication value in our country. The calibration of traditional wide line stripe gauges is mainly realized by the human line of sight, which needs the cooperation of the calibration staff. It not only has a large workload, but also has the influence of subjective factors on the calibration results. The automatic calibration of wide line gauges based on machine vision is the main direction of the development of wide line gauges calibration technology, in which the automatic aiming of wide line grain gauges is the core of this technology. In view of the problems of inaccurate positioning and poor repeatability of automatic aiming for large quantities of wide line grain gauges, the main research work of this paper is as follows: firstly, the characteristics and calibration requirements of wide line grain gauges are analyzed. The key technologies and requirements of automatic calibration of wide line stripe gauges are discussed. The application and influence of digital image processing technology in automatic calibration technology of wide line grain gauges are analyzed in detail. Secondly, based on 80m large length standard device, the image acquisition system of wide line grain measuring device is built by using wireless image transmission mode, and the software operating system is developed by using C #. Automatic calibration of wide line gauges integrated with power supply. Furthermore, the image noise and the edge features of the wide line grain measuring tools are analyzed and discussed, and the differential neighborhood extremum centerline extraction algorithms are used respectively. The centerline extraction algorithm based on least squares fitting intersection point and the centerline extraction algorithm based on neighborhood extremum of Sobel operator can meet the requirements of different types of wide line measuring tools. The relationship between pixel calibration coefficient and stroke is analyzed. In the same field of view, the reliability of pixel calibration coefficient calculated with larger stroke is higher. The calibration experiments are carried out for the third class standard wire gauge, standard steel tape gauge and bar code leveler. The experimental results show that the whole system can meet the automatic calibration of wide line stripe gauges. Finally, the standard uncertainty of the system is evaluated. The standard uncertainty of the third class standard metal wire stripe is u_c=0.86 渭 m 1.5 脳 10 ~ (10) ~ (-6) L, the extended uncertainty is 1.72 渭 m, the calibration standard uncertainty is 1. 2 脳 10 ~ (-6) L, the standard uncertainty is 1. 2 脳 10 ~ (-6) L, and the extended uncertainty is U2.64 渭 m ~ (2.3 脳 10 ~ (-6) L ~ (-1).
【學位授予單位】：中國計量學院
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TH711;TP391.41

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本文編號：1990036