Artificial Intelligence-based Module Type Package-compatible Smart Sensors in the Process Industry

作     者：Neuendorf, Laura M. Khaydarov, Valentin Schlander, Christiane Kock, Tobias Fischer, Joshua Urbas, Leon Kockmann, Norbert 

作者机构：TU Dortmund Univ Dept Biochem & Chem Engn Lab Equipment Design Emil Figge Str 68 D-44227 Dortmund Germany TU Dresden Univ Proc Order Lab Helmholtzstr 16 D-01069 Dresden Germany Merck Elect KGaA EL OTE Frankfurter Str 250 D-64293 Darmstadt Germany 

出 版 物：《CHEMIE INGENIEUR TECHNIK》 (化学，工程师，技术)

年 卷 期：2023年第95卷第10期

页      面：1546-1554页

核心收录：

学科分类：0817[工学-化学工程与技术] 08[工学] 

基　　金：BMWK (German Federal Ministry of Economic Affairs and Climate Action) [01MK20014O  01MK20014S  01MK20014T] 

主　　题：Artificial intelligence Complex data streams Computer vision Image processing Modular automation Module type package 

摘      要：Image analysis presents a set of powerful methods to receive additional information about multiphase processes. It enables the development of advanced applications for process monitoring and optimization or, so-called, soft sensors. However, the integration of advanced smart sensor systems based on image analysis into the process control system presents a complex task. To address this challenge, a modular automation concept offers a standardized interface to integrate modules. This paper presents an integration profile as a service specification that allows a plug-and-measure integration of smart visual sensors into modular plants. To verify the concept, we applied it to three different use cases. At the end, we discuss open challenges in the integration of complex analysis systems with multidimensional data streams into modular plants.