论文标题
通过为机器运营商开发辅助系统，包括质量预测：一个概念，通过数字化优化纸张生产
Optimization paper production through digitalization by developing an assistance system for machine operators including quality forecast: a concept
论文作者
论文摘要
如今，跨行业的挑战包括减少温室气体排放和实现循环经济。但是，废纸生产纸仍然是一项高度资源密集的任务，尤其是在能源消耗方面。尽管纸机生产了大量数据，但我们已经确定了缺乏利用率，并使用操作员辅助系统和最先进的机器学习技术实施了一个概念，例如分类，预测和警报洪水处理算法，以支持日常操作员任务。我们的主要目的是为使用可用数据的机器运营商提供特定情况知识。我们预计这将导致更好的调整参数，因此造纸机的足迹较低。
Nowadays cross-industry ranging challenges include the reduction of greenhouse gas emission and enabling a circular economy. However, the production of paper from waste paper is still a highly resource intensive task, especially in terms of energy consumption. While paper machines produce a lot of data, we have identified a lack of utilization of it and implement a concept using an operator assistance system and state-of-the-art machine learning techniques, e.g., classification, forecasting and alarm flood handling algorithms, to support daily operator tasks. Our main objective is to provide situation-specific knowledge to machine operators utilizing available data. We expect this will result in better adjusted parameters and therefore a lower footprint of the paper machines.
