TY - GEN
T1 - Assisted safety test execution linking E-CAD and test management with augmented reality
AU - Vogel-Heuser, Birgit
AU - Ziegltrum, Simon
AU - Frank, Joachim
AU - Hasselfeld, Freihold
AU - Grobl, Herbert
AU - Botzenhardt, Claus
AU - Werner, Bernhard
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6/10
Y1 - 2020/6/10
N2 - In the field of versatile machines and unique machine construction, work on the often heterogeneous and very different systems places particularly high demands on the professional competence of the commissioning and maintenance personnel employed. Besides, legal changes require annual inspections, e.g., of plant safety at the customer's site. In order to cope with these increased demands on staff and to enable testing to be carried out by less specialized staff, innovative technical methods are required to support the user throughout the entire test creation and test execution workflow. The basis for the preparation and execution of safety tests are engineering documents such as circuit diagrams, documentation for safety verification and safety circuits.In this article, we present methods that enable a broad spectrum of on-site personnel to perform periodically recurring safety tests on automated production lines independently, intuitively, and interactively. In order to carry out the tests, it is necessary to support test personnel, e.g., utilizing augmented reality in their orientation on the system. In contrast to traditional augmented reality concepts requiring explicit test models, all necessary data is extracted directly from existing electrical design documents. Assistance for the personnel consists, for example, in simplified navigation in the electrical plant plans as well as in the plant itself, e.g., with the help of the operating equipment position plan or by connecting the test manager to the electrical CAD system. An essential component of user guidance is the efficient and unambiguous identification and information retrieval of system components required for test stimulation or test observation.
AB - In the field of versatile machines and unique machine construction, work on the often heterogeneous and very different systems places particularly high demands on the professional competence of the commissioning and maintenance personnel employed. Besides, legal changes require annual inspections, e.g., of plant safety at the customer's site. In order to cope with these increased demands on staff and to enable testing to be carried out by less specialized staff, innovative technical methods are required to support the user throughout the entire test creation and test execution workflow. The basis for the preparation and execution of safety tests are engineering documents such as circuit diagrams, documentation for safety verification and safety circuits.In this article, we present methods that enable a broad spectrum of on-site personnel to perform periodically recurring safety tests on automated production lines independently, intuitively, and interactively. In order to carry out the tests, it is necessary to support test personnel, e.g., utilizing augmented reality in their orientation on the system. In contrast to traditional augmented reality concepts requiring explicit test models, all necessary data is extracted directly from existing electrical design documents. Assistance for the personnel consists, for example, in simplified navigation in the electrical plant plans as well as in the plant itself, e.g., with the help of the operating equipment position plan or by connecting the test manager to the electrical CAD system. An essential component of user guidance is the efficient and unambiguous identification and information retrieval of system components required for test stimulation or test observation.
KW - Automation systems
KW - Computer aided design
KW - Products and manufacturing systems
UR - http://www.scopus.com/inward/record.url?scp=85098719491&partnerID=8YFLogxK
U2 - 10.1109/ICPS48405.2020.9274747
DO - 10.1109/ICPS48405.2020.9274747
M3 - Conference contribution
AN - SCOPUS:85098719491
T3 - Proceedings - 2020 IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020
SP - 196
EP - 202
BT - Proceedings - 2020 IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020
Y2 - 10 June 2020 through 12 June 2020
ER -