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Creative Commons licence CC BY-NC (Attribution-NonCommercial)Logforum. 2018. 14(1), article 5, 51-57; DOI: https://doi.org/10.17270/J.LOG.2018.239


Jianing Sun1, Minglei Gao1, Qifeng Wang1, Minjie Jiang1, Xuan Zhang1, Robert Schmitt2

1Fraunhofer Institute for Production Technology IPT, Aachen, Germany
Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Aachen, Germany


Background: Adaptive digitalization and networking of machines, working parts, employees and other entities on the plant floor are core of realizing industry 4.0, so that information and instruction will be available everywhere and all the time in the production process. Thus, smart devices, especially smart wearables, will play a very important role to help workers being integrated in the in the future manufacturing environment, as information need to be transferred faster and with the right level of detailing with respect to the individual need of workers, factory managers etc.

Methods: The implementation of an indoor localization system using Bluetooth beacons in the shop floor as part of an enterprise IoT platform was introduced. This sensor network is aimed to implement tracing and tracking of workers and working parts in the future smart factory, as well as the to the networking of the smart wearables with existing manufacturing machines. The investigated problem was the inaccuracy and the instability of the sensor signals by such Bluetooth sensor networks. To solve the problem, various algorithms were investigated.

Results and conclusions: The possible solution of given problem was solved by finding an algorithm improving the communication between devices. Together with the location information from Beacon network and orientation in-formation from the compass sensor, it is able to determine the machine in the near, which the employee with the Smart Glasses is currently pointing to.

Keywords: Industrie 4.0, industrial Internet-of-Things, indoor localization, smart wearables, augmented reality, enhancement of productivity
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For citation:

MLA Sun, Jianing, et al. "Smart services for enhancing personal competence in industrie 4.0 digital factory ." Logforum 14.1 (2018): 5. DOI: https://doi.org/10.17270/J.LOG.2018.239
APA Jianing Sun, Minglei Gao, Qifeng Wang, Minjie Jiang, Xuan Zhang, Robert Schmitt (2018). Smart services for enhancing personal competence in industrie 4.0 digital factory . Logforum 14 (1), 5. DOI: https://doi.org/10.17270/J.LOG.2018.239
ISO 690 SUN, Jianing, et al. Smart services for enhancing personal competence in industrie 4.0 digital factory . Logforum, 2018, 14.1: 5. DOI: https://doi.org/10.17270/J.LOG.2018.239