Functional analysis of an Optical Real Time Locating System in production environments

Sebastian Bienia*, Michael Demes, Joshua Dreger, Klaus Dröder, Sebastian Thiede

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

1 Citation (Scopus)
39 Downloads (Pure)

Abstract

Driven by the fourth industrial revolution (Industry 4.0), Real Time Location Systems (RTLS) are gaining importance. Holistic information about the position and movement of persons, vehicles and goods is an essential prerequisite for being able to efficiently automate entire process chains in the future with increasing machine autonomy. RTLS technologies enable the spatial and temporal localisation of objects within an environment. The current technological standard in the field of RTLS is based on anchors and transponders (e.g. Ultra Wide Band (UWB) systems), which use radio frequency (RF) signals to determine positions. However, the need for additional technical equipment is also a major weakness of these systems. In this paper, a new technological approach for real-time localisation of objects for industrial applications is presented. The proposed optical RTLS (ORTLS) is based on a decentralised sensor network, which enables the positioning of persons, vehicles and objects in industrial environments by means of artificial intelligence (AI) based object detection. In order to be able to use the system for safety-relevant applications in the future, certification must be obtained with regard to applicable regulations. A prerequisite for this is the validation and monitoring of the system performance with regard to the requirements of functional safety. For the analysis and evaluation of the system performance, this paper presents a methodology for the analysis of the AI-based detection under consideration of the environmental factors.

Original languageEnglish
Pages (from-to)1107-1111
Number of pages5
JournalProcedia CIRP
Volume107
Early online date26 May 2022
DOIs
Publication statusPublished - 2022
Event55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022 - Canton of Ticino, Lugano, Switzerland
Duration: 29 Jun 20221 Jul 2022
Conference number: 55

Keywords

  • Artificial Intelligence Methods and Big Data Analytics for Smart Production Systems
  • Digital
  • Human centric Manufacturing
  • Human-Machine Intelligent Cooperation
  • Machine/Robot 4.0
  • Machines and Operators' Digital Twins
  • Operator 4.0
  • Smart Factories
  • Systems
  • Virtual

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