Real Time Locating Systems for Human Centered Production Planning and Monitoring

Wolf, Matthias; Rantschl, M.; Auberger, Elias Franziskus Detlef; Preising, Heimo; Sbaragli, Andrea; Pilati, Francesco; Ramsauer, Christian

doi:10.1016/j.ifacol.2022.04.221

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…A virtual representation of fabrication frameworks utilizing the information from genuine industrial facilities can offer arrangements for item advancement and bolster item presentation forms, from design-to-manufacturing to simulation-based information analytics. It can allow shrewd generation frameworks [104][105][106][107][108]. Appropriately, the virtual plant is a coordinated, high-fidelity recreation demonstration of a fabricating plant, which offers a progressed choice bolster capability and can back the assessment and reconfiguration of unused or existing fabricating frameworks [109,110].…”

Section: ) Data Analytics and Real-life Data From Products Processes ...mentioning

confidence: 99%

Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities

Alquraish

2022

Eng. Technol. Appl. Sci. Res.

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Manufacturing is an important part of the modern economy. It is characterized by complexity in terms of systems, approaches, and interactions with intrinsic and extrinsic factors. Numerous efforts have been developed to use modeling and simulation tools to improve manufacturing efficiency and productivity and to achieve maximum quality, especially with the different mutations in the factories of today. This paper reviews the conventional and modern tools used in manufacturing system design and production improvement. Challenges that need to be addressed by the simulation community are discussed in depth. Finally, the evolution, advances, current practices, and future opportunities are discussed in the context of the contemporary manufacturing industry.

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Section: ) Data Analytics and Real-life Data From Products Processes ...mentioning

confidence: 99%

Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities

Alquraish

2022

Eng. Technol. Appl. Sci. Res.

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“…In general, until now, the higher management layers considered only summaries of the specific information from lower layers for monitoring purposes or to make high level control decisions. However, the introduction of digital twin (DT) technologies [7]- [10] is changing this paradigm, as there is an aim of providing a virtual replica of the physical environment, enabling real-time monitoring, analysis, and optimization of production processes, which requires information and data from all layers.…”

Section: Introductionmentioning

confidence: 99%

Experimental Evaluation and Modeling of the Accuracy of Real-Time Locating Systems for Industrial Use

Valiollahi,

Rodriguez,

Zhang

et al. 2024

IEEE Access

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Real-time locating systems (RTLSs) have proven to be a practical and effective solution for monitoring positions/status of humans and other entities in industrial environments, ensuring safe and efficient automated operations, by responding in real-time to unexpected events, such as the proximity of human workers to autonomous mobile robots (AMRs). This work focuses on evaluating and modeling the performance of two complementary RTLSs targeting human localization in both static and mobile conditions within a realistic industrial environment in operational conditions; with the aim of integrating live positioning information into digital twins (DT) for industrial use. Both the primary RTLS examined, an ultra-wide band (UWB) radio-based system; and the secondary RTLS, an optimized camera vision (CV)-based system with three surveillance cameras introduced as a backup RTLS, exhibited a similar median accuracy of 12-13 cm in static conditions, being the one of the UWB system slightly degraded down to 19 cm in presence of human shadowing. In human mobility conditions, the median accuracy values were further debased by 4 and 13 cm for the UWB and CV systems, respectively, indicating a limited real-time fluctuation, sufficiently bounded to guarantee the safety of human workers based on the readings of either of the primary or secondary RTLS systems. Based on the observed performance, a safety protocol for human detection in operational production scenarios was established, considering operational safety margins around humans of 1-2 m, which could be further leveraged by centralized monitoring and control entities such as industrial digital twins. The localization accuracy of the systems is characterized by means of error functions quantifying the distance to ground truth (GT) points through Gamma distribution functions using maximum likelihood estimates (MLEs). The proposed models are practical for implementation in system level simulators or industrial digital twin tools considering akin industrial environments. The different observations presented along the paper are useful for advanced industrial operation planning and optimization considerations.

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Visual Analysis and Anomaly Detection of Material Flow in Manufacturing

Kinner

Glatt

Aurich

et al. 2023

Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes

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The automated tracking of objects in factories via real-time locating systems (RTLS) is gaining increased attention due to its improved availability, technical sophistication, and most of all, its plethora of applications. The tracking of workpieces through their production process, for example, unlocks a detailed understanding of timings, patterns, and bottlenecks. While research mostly focuses on technological advancements, the analysis of the generated data is often left unclear. We propose a visual analysis framework based on ultra-wide-band (UWB) RTLS tracking data of material flow for this purpose. With this, we present an analysis and define a practical approach for how factory-level data can be analyzed. Advanced algorithms adapted from non-adjacent research domains are used to process and detect anomalies in the data, which would otherwise be hidden behind oversimplified analysis methods. Our approach considers different levels of granularity for the analysis in its visualization and, therefore, scales with increasing data sizes effortlessly. We also generated a ground truth dataset of RTLS UWB data with labeled anomaly cases. Combined, we provide a full, end-to-end, efficient processing and multi-visualization analysis pipeline for self-contained yet generalizable UWB RTLS data.

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Real Time Locating Systems for Human Centered Production Planning and Monitoring

Cited by 7 publications

References 17 publications

Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities

Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities

Experimental Evaluation and Modeling of the Accuracy of Real-Time Locating Systems for Industrial Use

Visual Analysis and Anomaly Detection of Material Flow in Manufacturing

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