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首页> 外文期刊>Journal of near infrared spectroscopy >Developing and testing a new quantitative near infrared spectroscopy online tracking measuring system for soil detection during automatic dishwashing
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Developing and testing a new quantitative near infrared spectroscopy online tracking measuring system for soil detection during automatic dishwashing

机译:开发和测试自动洗碗期间土壤检测的新定量近红外光谱轨道追踪测量系统

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Near infrared (NIR) measurements have been used for several years to examine the processes taking place in the dishwasher during dishwashing. It is possible to differentiate between the soil components butterfat, oatmeal and egg-yolk and to determine their concentration in the dishwashing liquor quantitatively. Consequently, time-consuming dishwashing tests can be avoided by weighing the dishes. However, this method is also based on a small number of NIR measurements which are carried out intrusively during the dishwashing process, i.e. outside the dishwasher. These few NIR measurements make it difficult to investigate the dynamics of a dishwashing process. In this study, the development, testing and usage of a new online tracking measuring system is presented. The latter was used to perform 38 dishwashing processes, each containing 51 NIR spectra, to develop a calibration model using the partial least squares regression method with cross-validation. This new online tracking measuring system, based on the calibration, can determine the concentrations of three different soil components in the dishwashing liquor during automatic dishwashing. By recording the 51 spectra, it is possible to display a tracking curve for each soil component, i.e. the concentration courses of the dishwashing process over time. This results in a significantly better time resolution and it was possible to investigate the first dynamic part of the tracking curve, i.e. the beginning of the dishwashing process. This could lead to the opportunity to change the state of the dishwasher depending on the concentrations detected in the first step and, secondly, to a more environmentally friendly and cost-reducing dishwashing process.
机译:近红外(NIR)测量已被用于检测洗碗机在洗碗过程中发生的过程。可以区分土壤成分乳脂、燕麦和蛋黄,并定量测定它们在洗碗液中的浓度。因此,通过称量盘子可以避免耗时的洗碗测试。然而,该方法也基于少量的近红外测量,这些测量是在洗碗过程中,即在洗碗机外进行的。这几项近红外测量使得研究洗碗过程的动力学变得困难。本研究介绍了一种新型在线跟踪测量系统的开发、测试和使用。后者用于执行38个洗碗过程,每个过程包含51个NIR光谱,以使用偏最小二乘回归法和交叉验证建立校准模型。这种基于校准的在线跟踪测量系统可以在自动洗碗过程中测定洗碗液中三种不同土壤成分的浓度。通过记录51个光谱,可以显示每种土壤成分的跟踪曲线,即随时间推移洗碗过程的浓度过程。这使得时间分辨率大大提高,并且可以研究跟踪曲线的第一个动态部分,即洗碗过程的开始。这可能会导致根据第一步检测到的浓度改变洗碗机状态的机会,其次是更环保、成本更低的洗碗机清洗过程。

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