Digital Object Memory Based Monitoring Solutions in Manufacturing Processes

被引:16
作者
Aruvaeli, Tanel [1 ,2 ]
Maass, Wolfgang [2 ]
Otto, Tauno
机构
[1] Tallinn Univ Technol, Ehitajate Tee 5, EE-19086 Tallinn, Estonia
[2] Univ Saarland, D-66123 Saarbrucken, Germany
来源
24TH DAAAM INTERNATIONAL SYMPOSIUM ON INTELLIGENT MANUFACTURING AND AUTOMATION, 2013 | 2014年 / 69卷
关键词
Digital Object Memory; quality monitoring; human-machine interaction; Cyber Physical Production System;
D O I
10.1016/j.proeng.2014.03.011
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Manufacturing processes monitoring is more than conventional machinery monitoring, it covers also a part quality monitoring and manual working processes monitoring. To explain it, a novel Digital Object Memory (DOMe) based model in automated surface roughness monitoring and data storage in turning is proposed. The model allows automated interaction between workpiece (WP) and machine tool using RFID based smart environment. As a result, WP on-board g-code for turning and machine tool based real time cutting signals are combined into algorithm to measure indirect surface roughness of WP. Moreover, surface roughness value for every cut can be stored on-board of WP to detect the WP history and quality all over the product life cycle. Also framework for DOMe based hand work station monitoring and assistance system is proposed. Smart environment creates compatibility between parts and products on working area to double check workers attentions and to give assistance to workers for avoiding mistakes. (C) 2014 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:449 / 458
页数:10
相关论文
共 28 条
[1]  
Aruvaeli T, 2012, ANN DAAAM, V23, P661
[2]  
Aruvali T., 2014, J APPL MECH MA UNPUB
[3]   Mobile interactions with digital object memories [J].
Barthel, Ralph ;
Kroener, Alexander ;
Haupert, Jens .
PERVASIVE AND MOBILE COMPUTING, 2013, 9 (02) :281-294
[4]  
Brandherm B., 2011, 2011 7th International Conference on Intelligent Environments, P374, DOI 10.1109/IE.2011.76
[5]  
Brandherm B., 2013, SEMPROM FDN SEMANTIC, P349
[6]  
Haupert J., 2012, 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), P568, DOI 10.1109/PerComW.2012.6197578
[7]  
Haupert J., 2011, 2011 7th International Conference on Intelligent Environments, P179, DOI 10.1109/IE.2011.39
[8]  
Haupert J., 2012, THESIS
[9]  
Haupert J, 2012, UBICOMP'12: PROCEEDINGS OF THE 2012 ACM INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING, P1160
[10]  
Henning K., 2013, Acatech - National Academy of Science and Engineering, DOI DOI 10.1080/00207543.2017.1308576