Towards an Infrastructure Enabling the Internet of Production

Pennekamp, Jan; Glebke, René; Henze, Martin; Meisen, Tobias; Quix, Christoph; Hai, Rihan; Gleim, Lars Christoph; Niemietz, Philipp; Rudack, Maximilian; Knape, Simon; Epple, Alexander; Trauth, Daniel; Vroomen, Uwe; Bergs, Thomas; Brecher, Christian; Bührig–Polaczek, Andreas; Jarke, Matthias; Wehrle, Klaus

doi:10.1109/icphys.2019.8780276

Cited by 105 publications

(38 citation statements)

References 30 publications

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“…However, these data and associated analytics have big potentials in terms of improving the product and production quality. The concept of Internet of Production (IoP) targets collecting and processing context-based data from production and realizing real-time control of production processes [2]. One challenge is to establish a stable network infrastructure to be able to collect and handle vast amounts of production data in real-time.…”

Section: Introductionmentioning

confidence: 99%

Tool wear monitoring in roughing and finishing processes based on machine internal data

Benincá

Kehne

et al. 2021

Int J Adv Manuf Technol

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Data analytics plays a significant role in the realization of Industry 4.0. By generating context-related persistent datasets, every manufacturing process in real production becomes an experiment. The vision of Internet of Production (IoP) is to enable real-time diagnosis and prediction in smart productions by acquiring datasets seamlessly from different data silos. This requires interdisciplinary collaboration and domain-specific expertise. In this paper, we present a novel tool wear monitoring system for milling process developed in the context of IoP. This system is based on high-frequency data from the numerical control of the production machine without additional sensors. The novelty of this paper lies in the introduction of virtual workpiece quality and fusion of multiple build-in sensor signals and a force model as decision support. This bridges the time gap between quality inspection and production at the shop floor level, establishes an automated statistical process control system, and provides a more plausible prediction of tool lifetime. The monitoring of two different milling processes in a real production environment is exemplary demonstrated in this paper. The first case is a face roughing process with the aim of rapidly removing large amounts of material. The second case is a face finishing operation that follows roughing and aims to achieve the desired surface quality.

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Section: Introductionmentioning

confidence: 99%

Tool wear monitoring in roughing and finishing processes based on machine internal data

Benincá

Kehne

et al. 2021

Int J Adv Manuf Technol

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“…Thus, we are strongly convinced that it is imperative to reduce configuration complexity in security protocols and demand secure defaults for all configuration options, eventually transitioning from security by design to security by default. Given the overall still comparatively small number of Internet-connected OPC UA appliances at the beginning of the uptake of the fourth industrial revolution [39,51], now is the perfect time to rethink and reinforce the security configuration of OPC UA deployments and thus eventually realize secure industrial Internet-wide communication.…”

Section: Resultsmentioning

confidence: 99%

Easing the Conscience with OPC UA

Dahlmanns

Lohmöller

Fink

et al. 2020

Proceedings of the ACM Internet Measurement Conference

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Due to increasing digitalization, formerly isolated industrial networks, e.g., for factory and process automation, move closer and closer to the Internet, mandating secure communication. However, securely setting up OPC UA, the prime candidate for secure industrial communication, is challenging due to a large variety of insecure options. To study whether Internet-facing OPC UA appliances are configured securely, we actively scan the IPv4 address space for publicly reachable OPC UA systems and assess the security of their configurations. We observe problematic security configurations such as missing access control (on 24% of hosts), disabled security functionality (24%), or use of deprecated cryptographic primitives (25%) on in total 92% of the reachable deployments. Furthermore, we discover several hundred devices in multiple autonomous systems sharing the same security certificate, opening the door for impersonation attacks. Overall, in this paper, we highlight commonly found security misconfigurations and underline the importance of appropriate configuration for security-featuring protocols.

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“…In the Cluster of Excellence "Internet of Production" of the RWTH Aachen University, ontologies are supposed to be an enabler for a new level of cross-domain collaboration along the entire value chain of production technology [31]. Application examples reach from an implementation of the OBDA approach in laser processing, up to the creation of a cross-disciplinary catalogue with an overview of the data generated in the project [32].…”

Section: Ontology-based Data Access (Obda)mentioning

confidence: 99%

Integration concept of Digital Shadows and BIM for a long-term optimal decision support in factory planning

Badenko

Bolshakov

Fedotov

et al. 2021

Preprint

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Industrial objects nowadays rapidly transform due to the development of digital technologies. The concept of the Factory of the Future (FoF) involves digitization of all parts of the factory. In this paper two technologies are motivated and considered as the basic technologies that should be used in FoF: Digital Shadow (DS) and Building Information Modelling (BIM). Basic theory on these issues is given and potentials of BIM and DS integration is formulated. Based on the ability of digital technologies, their integration and convergence to generate value, definition Digital Asset is introduced from the economic point of view as a digital resource which brings economic benefit. A concept of integrating BIM and DS technologies for decision support in factory planning is formulated, including Life Cycle Assessment (LCA) and semantic modeling. The concept includes a description of the aggregate of technologies and their interconnections as a Digital Asset of the FoF. Further research objectives are focused on integration of BIM and DS which requires their interoperability ensured by an Ontology-Based Data Access (OBDA) approach, based on the Semantic web.

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Towards an Infrastructure Enabling the Internet of Production

Cited by 105 publications

References 30 publications

Tool wear monitoring in roughing and finishing processes based on machine internal data

Tool wear monitoring in roughing and finishing processes based on machine internal data

Easing the Conscience with OPC UA

Integration concept of Digital Shadows and BIM for a long-term optimal decision support in factory planning

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