The application weight of an adhesion promoter applied to a textile fabric by impregnation as well as the residual moisture content of the material after drying were monitored by hyperspectral imaging. In order to be able to monitor the current state of a complete textile web, which may have a working width of several meters, a multiplex NIR spectrometer system instead of a hyperspectral camera was used. The optical ports of the multiplexer were connected to a few tens of individual fiber-optic sensors, whose front ends were distributed evenly across the working width of the web. The spectrometer unit covered a spectral range from 1100 to 2200 nm. Chemometric techniques, in particular partial least squares (PLS) regression, were used to extract quantitative values of both parameters of interest from the recorded spectral data. The root mean square errors of prediction (RMSEP) determined in an external validation step were found to be 1.4 g/m² for the application weight and 0.46 wt% for the moisture content, which are roughly the same error limits as those in a previous study using a hyperspectral camera. Consequently, application weight and residual moisture after drying can be predicted in-line with high precision. Moreover, the spatial distribution of both parameters across the textile was investigated. Although the resolution of the multiplex spectrometer system is one order of magnitude lower than that of a NIR hyperspectral camera, inhomogeneities in both application weight and moisture content could be clearly revealed provided that their size was larger than the limit given by the spatial resolution. The results prove that a scalable NIR multiplex spectrometer system instead of a NIR camera can be used for monitoring of the actual state of the finished material across the overall width of the web. Such data may be used for process control in textile converting and similar processes.

通过高光谱成像监测通过浸渍施加到纺织织物上的粘合促进剂的施加重量以及干燥后材料的残留水分含量。为了能够监测可能有几米工作宽度的完整纺织网的当前状态，使用了多路 NIR 光谱仪系统而不是高光谱相机。多路复用器的光端口连接到几十个单独的光纤传感器，其前端均匀分布在卷材的工作宽度上。光谱仪单元涵盖了从 1100 到 2200 nm 的光谱范围。化学计量学技术，特别是偏最小二乘法 (PLS) 回归，用于从记录的光谱数据中提取两个感兴趣参数的定量值。²对于应用重量和 0.46 wt% 的水分含量，这与之前使用高光谱相机的研究中的误差限制大致相同。因此，可以高精度在线预测干燥后的应用重量和残留水分。此外，研究了纺织品上两个参数的空间分布。虽然多路光谱仪系统的分辨率比 NIR 高光谱相机低一个数量级，但如果应用重量和水分含量的不均匀性大于空间分辨率给出的限制，则可以清楚地揭示它们的不均匀性。结果证明，可使用可扩展的 NIR 多路复用光谱仪系统代替 NIR 相机来监控整个幅材宽度上成品材料的实际状态。此类数据可用于纺织品加工和类似过程中的过程控制。