Industrial drying of Filter Media - Moisture Content Prediction

Industrial drying processes are an energy extensive and often one of the most time consuming processes in a manufacturing line. Optimizing the drying process can therefore lead to a reducing in energy consumption and an increase in manufacturing throughput.Being able to give a reasonable estimate of the moisture content is a catalyst for the optimization process. This dataset consists of 161 different drying experiments of drying filter media in an industrial drying oven, resulting in 322 sets of observations of summarised process parameters as well as snapshots of the current situation inside the oven at the end of each experiment, and the experimentally measured moisture content for that specific time

工业干燥工艺是耗能巨大且通常在制造线中耗时最长的工序之一。因此，优化干燥工艺可以显著降低能耗并提升制造效率。能够合理估计含水量是优化过程的关键推动力。本数据集包含了161次不同干燥实验，这些实验在工业干燥烤箱中对干燥过滤介质进行干燥，产生了322组总结过程参数的观测以及每个实验结束时烤箱内部当前状况的快照，以及对应特定时间的实验测量含水量。