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基于輪廓整形單元的原料肉3D可視化成像系統(tǒng)研究
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國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2022YFD2100502),、中國(guó)農(nóng)業(yè)科學(xué)院農(nóng)產(chǎn)品加工研究所創(chuàng)新工程院所重點(diǎn)任務(wù)項(xiàng)目(CAAS-ASTIP-G2022-IFST-08)、淄博數(shù)字農(nóng)業(yè)農(nóng)村研究院創(chuàng)新團(tuán)隊(duì)項(xiàng)目和農(nóng)業(yè)農(nóng)村部農(nóng)產(chǎn)品產(chǎn)地處理裝備重點(diǎn)實(shí)驗(yàn)室開(kāi)放課題(2016NYZD2305)


Design and Experimental Verification of 3D Visual Imaging System Based on Contour Shaping Unit
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    摘要:

    針對(duì)3D激光掃描實(shí)現(xiàn)不規(guī)則原料肉輪廓成像時(shí)存在掃描輪廓不完整,、部分信息缺失,、體積估測(cè)精度低等問(wèn)題,根據(jù)原料肉物性學(xué)特性,,本文設(shè)計(jì)了一種基于輪廓整形單元的3D可視化成像系統(tǒng),,實(shí)現(xiàn)不規(guī)則原料肉的形態(tài)調(diào)整,以優(yōu)化不規(guī)則原料肉的成像性能,。闡述了原料肉輪廓整形單元的工作原理,,設(shè)計(jì)了樣品驅(qū)動(dòng)傳輸單元、掃描外觸發(fā)控制單元,、可實(shí)現(xiàn)輪廓整形的成像檢測(cè)平臺(tái)等硬件模塊,,確定了整形單元中鉸鏈螺栓旋轉(zhuǎn)方向、電機(jī)旋轉(zhuǎn)圈數(shù)和原料肉輪廓目標(biāo)整形角度之間的關(guān)系,?;贖alcon 平臺(tái)和C#語(yǔ)言編寫(xiě)了輪廓整形優(yōu)化原料肉成像性能的3D可視化軟件,利用點(diǎn)云處理模型重建算法和灰度膨脹(Gray dilation)孔洞補(bǔ)償算法,,實(shí)現(xiàn)不規(guī)則原料肉輪廓整形前后信息采集,、數(shù)據(jù)分析及體積估測(cè)準(zhǔn)確度對(duì)比。最后選用120 塊豬肉(后腿,、里脊)在冷鮮和麻凍狀態(tài)下驗(yàn)證整形單元對(duì)原料肉輪廓成像的優(yōu)化性能,。結(jié)果表明,,與傳輸方向呈90°、180°,、270°,、360°時(shí)肉塊掃描后成像精度均不小于 90%,變異系數(shù)不大于3%,。冷鮮肉和麻凍肉最佳整形角度范圍分別為30°~50°和40°~60°,體積估測(cè)準(zhǔn)確率從90%分別提高至94%和97%以上,。整形后其輪廓形態(tài)可維持時(shí)間均大于6 s,孔洞高度最大壓縮比均小于0.77,。研究證明,,不規(guī)則原料肉經(jīng)過(guò)輪廓整形單元后可有效提高成像性能,為后續(xù)基于輪廓成像實(shí)現(xiàn)不規(guī)則原料肉定量分切技術(shù)研發(fā)提供支持,。

    Abstract:

    Aiming at 3D laser scanning to achieve irregular raw meat contour imaging, there are problems such as incomplete scanning contours, missing data, and low volume estimation accuracy. In light of these limitations, a 3D visual imaging system was presented based on the contour shaping unit. This system was designed to address the morphological characteristics of irregular raw meat, with the aim of optimizing the imaging performance of irregular raw meat. The operational methodology of the contour shaping apparatus was delineated, and the essential hardware modules, including the sample driving and transmission unit, scanning external trigger control unit, and imaging detection platform. Additionally, the relationship between the rotational orientation of the hinge bolt in the shaping apparatus, the number of motor rotations, and the desired contour angle of the raw material meat was determined. A 3D visualization software was ultimately developed on the Halcon platform by utilizing the C# language. The point cloud processing model reconstruction algorithm and gray dilation hole compensation algorithm were employed to facilitate the acquisition of information, analysis of data, and comparison of volume estimation accuracy before and after contour shaping of irregular raw meat. This was done in order to validate contour shaping to optimize the imaging performance of meat. A total of 120 pieces of chilled and frozen pork(hind shank and loin) was employed to substantiate the enhanced functionality of the shaping unit for the imaging of raw meat contours. The results demonstrated that the post-scanning imaging accuracies of the meat pieces at 90 °, 180 °, 270 ° and360 ° relative to the transmission direction were greater than 90%, and the coefficients of variation were no more than 3%. The optimal angle for shaping ranged from 30 ° to 50 ° for chilled meat and from 40 ° to 60 ° for frozen meat. The accuracy of volume estimation was improved from 90% to over 94%, and 97%, respectively. Following the shaping process, the contour of chilled and frozen meat morphology can be maintained for over 6 s, with a maximum compression ratio of hole height below 0.77. The research result demonstrated that the imaging performance of irregular raw meat can be significantly enhanced through the application of a contour shaping unit. This finding provided a valuable foundation for subsequent research and development efforts aimed at advancing quantitative slitting technology based on contour imaging for irregular raw meat.

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卜令平,高國(guó)偉,喬真,田惠鑫,胡敬芳,張春暉,胡小佳,艾鑫,李俠,魏文松.基于輪廓整形單元的原料肉3D可視化成像系統(tǒng)研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2024,55(s1):346-355. BU Lingping, GAO Guowei, QIAO Zhen, TIAN Huixin, HU Jingfang, ZHANG Chunhui, HU Xiaojia, AI Xin, LI Xia, WEI Wensong. Design and Experimental Verification of 3D Visual Imaging System Based on Contour Shaping Unit[J]. Transactions of the Chinese Society for Agricultural Machinery,2024,55(s1):346-355.

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  • 收稿日期:2024-08-21
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  • 在線發(fā)布日期: 2024-12-10
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