Requirements for a Human-Centered Condition Monitoring in Modular Production Environments

被引:21
作者
Birtel, Max [1 ]
Mohr, Florian [1 ]
Hermann, Jesko [1 ]
Bertram, Patrick [1 ]
Ruskowski, Martin [2 ]
机构
[1] Technol Initiat SmartFactory KL eV, D-67663 Kaiserslautern, Germany
[2] German Res Ctr Artificial Intelligence DFKI, D-67663 Kaiserslautern, Germany
关键词
Asset Administration Shell; RAMI; 4.0; Condition Monitoring; CPPM; Modular Production; ASSET ADMINISTRATION SHELL; MAINTENANCE; FRAMEWORK; MODEL;
D O I
10.1016/j.ifacol.2018.08.464
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper highlights the requirements for modular production environments regarding the semantic description of individual cyber-physical production modules (CPPM). With a focus on small and medium sized enterprises (SME), the need for a human-centered approach regarding human machine interaction has been derived. Semantic approaches to access machine data of modular, vendor independent modules is taken into consideration, showing the need for an asset administration shell (AAS) according to the reference architecture model industry 4.0 (RAMI 4.0). In this context, current and previous work regarding RAMI 4.0 and the AAS have been screened. With the help of the asset administration shell, machines are able to make their data accessible for the human worker, who is the expert on the shopfloor in SME and can then monitor the heterogeneous production environment. This paper finishes with an outlook on future work regarding the details of the AAS, the required data for the case of condition monitoring as part of a possible edge device strategy and the function of the human in the future production environment. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:909 / 914
页数:6
相关论文
共 32 条
[11]  
Gorecky Dominic, 2016, SMARTFACTORY KL SYST
[12]   A framework for effective management of condition based maintenance programs in the context of industrial development of E-Maintenance strategies [J].
Guillen, Antonio J. ;
Crespo, Adolfo ;
Fco. Gomez, Juan ;
Dolores Sanz, Maria .
COMPUTERS IN INDUSTRY, 2016, 82 :170-185
[13]  
Hastbacka D., 2014, P 2014 IEEE EM TECHN
[14]  
Henning K., 2013, Acatech - National Academy of Science and Engineering, DOI DOI 10.1080/00207543.2017.1308576
[15]  
Humphrey S.E., 2007, Integrating motivational, social, and contextual work design features: A meta-analytic summary and theoretical extension of the work design literature, P1332
[16]   A big data analytics platform for smart factories in small and medium-sized manufacturing enterprises: An empirical case study of a die casting factory [J].
Lee, Ju Yeon ;
Yoon, Joo Seong ;
Kim, Bo-Hyun .
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2017, 18 (10) :1353-1361
[17]  
Li Q, 2016, OTM CONF INT C MOV M, P16
[18]  
Lu Yang, 2016, NATL I STANDARDS TEC, P1
[19]   Interdisciplinary Engineering Methodology for changeable Cyber-Physical Production Systems [J].
Marseu, E. ;
Kolberg, D. ;
Birtel, M. ;
Zuehlke, D. .
IFAC PAPERSONLINE, 2016, 49 (31) :85-90
[20]  
Medhat A, 2015, MIDWEST SYMP CIRCUIT