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定量包装商品净含量精度保证系统及质量控制
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摘要
随着定量包装商品在市场的不断涌现,在计量监管领域面临着许多需要研究解决的新课题,其中如何保证定量包装商品净含量的精度、有效地对其质量进行控制等关键理论与技术问题,基本处于空白状态,是亟待解决的热点问题。
     本文根据作者近年来所承担的科研课题的研究成果,以皇上皇肉食制品厂生产的广式腊肠为主要研究对象,深入研究了定量包装商品净含量的控制理论;探讨了提取和分析定量包装商品净含量多种影响因素的方法;应用主成分分析法建立了净含量精度保证与质量控制模型;应用控制图与支持向量机对净含量进行有效地预测与控制。本文的主要研究内容、结论及创造性工作总结如下:
     着重分析现有的定量包装商品计量监督的法规与准则,以及目前企业为保证定量包装商品净含量精度所采取的评价标准与技术规范,按照由政府执行监管和兼顾消费者与生产企业两者的利益的原则,对定量包装商品净含量计量监管的过程进行剖析。对明确净含量的定义、确定合理的单件负偏差要求、确定合理的合格质量水平AQL、确定合适的监督抽样方案、确定检验批、在检验批中进行正确抽样、准确地检验样本、正确判断检验批的合格与否等方面存在的问题在理论上提出了计量监管的依据。另外深入探讨了定量包装商品净含量的控制目标值,建立了确定定量包装商品净含量目标值的数学模型。
     对不同形态商品净含量影响因素进行基本考虑,着重分析了流体传输、物料混合以及物料的去湿与干燥过程中如何进行质量控制,在此基础上,以皇上皇广式腊肠为例,经过实地考察与实验,对其净含量的动态过程控制对象进行了剖析研究,从中发现了制作过程中某些控制不当之处,也得出了许多有用的结论:(1)由于目前厂家尚未普及自动化生产,灌肠生产线与包装生产线仍以劳动力密集型的模式进行加工,目前腊肠灌装线的动态控制能力十分不足:(2)实验数据表明,腊肠流失的重量与肥肉所占比重成线性关系y=54.9907-0.37157x。肥肉所占比例越大,则腊肠重量的流失越小;(3)不同肉馅搅拌时间所得肉馅的均匀度存在一定得差别,从单根腊肠得重量分析,差别并不明显,但将若干条腊肠进行包装,此差异将会被扩大,影响最终包装净含量得精度;(4)人工灌制的腊肠重量的均匀性明显比机器灌制的低;(5)机器灌装的腊肠重量可能受交流电压的影响,因此采取稳压措施将会进一步提高腊肠重量的均匀性,提高腊肠包装的净含量精度;(6)风干过程中,肠体失重主要集中在前四小时,而干燥40小时后失重率变化不大,基本上在2%上下浮动。在经历了初期比较快速的干燥阶段之后出现了一个长时间的比较缓慢的干燥过程,一直持续到腊肠的成品阶段。
     广式腊肠的制作需经过原料肉的处理、绞肉拌馅、灌制、干燥、包装等多道工序,每道工序中存在的主客观影响因素错综复杂,腊肠最终成品的净含量正是多变量作用的综合反映。使用多元回归建立和求解多因素模型的过程中发现模型存在着严重的多重共线性问题。然后基于影响腊肠定量包装净含量因素数量多、且具有错综复杂的相关性等特点,利用主成分分析法进行多维特征空间建模,有效地筛选出影响腊肠包装净含量的主要因素,通过模型的求解,得出一个有用的结论,在每根腊肠灌肠后重量均衡的前提下,肉馅肥瘦比例决定了腊肠风干后的重量,根据肉馅配比与腊肠重量的关系,通过改变灌肠长度实现了对腊肠包装净含量精度的改进,验证了该净含量保证系统的应用价值。
     使用混合核函数的支持向量机分类技术应用于控制图在线检测和分析系统,利用遗传算法对混合核函数支持向量机的参数进行优化。研究证明,混合核函数的多类分类支持向量机用于控制图模式识别和异常模式下的参数估计是可行的,可以有效地提高系统的识别精度,特别是降低了控制图模式识别中Ⅰ型错判。控制图在线检测技术有效地改进了广式腊肠灌肠线的实时控制。
Along with the coming forth of quantificational packaging merchandise in market, there are many issues need to be solved in the area of quality management. Some problems even haven't been touched, such as how to assure the suttle precision and how to control the quality, which are the hotspots need to be paid attention to imperatively.
     In recent years, the author participate several national projects and has some new discoveries in this field. This paper mainly conducts systematic and deep analysis and research on suttle precision assuring system of sausage quantificational packaging and quality control, explores the methods of distilling and analyzing the factors that influence the accuracy of suttle, tries to establish a model to forecast and control the suttle effectively, applying PCA and SVM. The paper brings forth the main results and originality as follows:
     Mainly analyze the rule of law of measuring and managing quantificational packaging merchandises, according to the principle that manage by government and pay attention to both consumer and producer. Bring forward some measuring basis to several aspects of problems, such as comprehending the concept of suttle, make the negative warp and AQL reasonly, make logical scheme of sampling, etc. Besides, deeply discuss the target value of controlling, establish a mathematical model to make reasonable target value of controlling.
     Consider the influencing factors of the suttle which is in different forms. Give some suggestions on how to control quality in the course of liquid transfers, materiel tmix and dryness. On the basis of it, a lot of useful results are given by investigating the product line of sausage: roboticized production hasn't been gained ground, the product line of sausage is also in the mode of dense working, it comes with the weak capability of dynamic controlling. experimental data showed that the relation between the weight of sausage lost and proportion of fat is linear. In the dryness course, the weight of sausage loses mainly in the front four hours, after that, it will experience a slow dryness course to become product.
     Sausage machining contains several working procedures: material disposal, mix round, material filling, dryness and packaging. The influencing factors in each working procedure are anfractuous, and the suttle of sausage is the result of the action of multiplex factors. Model established by multianalysis shows that it exists serious mulriple collective linear problem. Considering the relativity of the influencing factors, the paper applys PCA to establish a multiplex factors model, which can distill some main factors effectively. Via calculating, it concludes that in the precondition of the weight of sausage is uniform, the proportion of muscle and fat decides the weight of the final product.
     Apply the sort technology basis on SVM to on-line detection and analysis system, use genetic arithmetic to optimize the parameter of SVM. The study shows that SVM is capable to do preferences in the exceptional mode of the control chart, which is able to make the system be more accurate. The technology of on-line detection basis on the control chart can improve real time control of the sausage product line.
引文
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