Digitalisierung und Künstliche Intelligenz in der Produktion

Mockenhaupt, Andreas

doi:10.1007/978-3-658-32773-6

Cited by 20 publications

(11 citation statements)

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“…Technologies and functionality are only related to digitalization and Industry 4.0 if they can be maintained through communication or networking with other systems [26,27].…”

Section: Paper Scopementioning

confidence: 99%

Overview of Technology and Functionality Standards for Industry 4.0 and Digitalization in Mechanical Engineering

Staiger,

Voigt

2024

Machines

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This paper concerns the identification of current communication technologies and software functionalities from the field of digitalization and Industry 4.0, from the point of view of benefits and applicability for the machine manufacturer. To identify the relevant technologies and functionalities, research was carried out in both the descriptive and statistical literature. As a result, both technologies that are currently the most widely distributed, as well as eleven IT functionalities relevant to mechanical engineers, were identified and described in terms of their application and implementation. Furthermore, a knowledge gap was identified in the area of industry transfer in the field of Industry 4.0/digitalization.

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“…Technologies and functionality are only related to digitalization and Industry 4.0 if they can be maintained through communication or networking with other systems [26,27].…”

Section: Paper Scopementioning

confidence: 99%

Overview of Technology and Functionality Standards for Industry 4.0 and Digitalization in Mechanical Engineering

Staiger,

Voigt

2024

Machines

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“…This means that it is necessary to understand what data science and data mining means and how it can be linked to the specific field of process analysis and optimization. [25] In simple terms, data mining means extracting knowledge from data. Depending on the objective, various methods are used, such as cluster analysis, classification, association analysis or text mining [26].…”

Section: Figure 4: Possible Uses Of Data Mining [25]mentioning

confidence: 99%

“…As a rule, selective results can be expected. In contrast, the aim of process mining is to generate corresponding processes [25].…”

Section: Figure 4: Possible Uses Of Data Mining [25]mentioning

confidence: 99%

“…• In the third and currently highest expansion stage, so called extension, the aim is to automatically generate improved process models based on the known processes in combination with the event data. [25] The areas of application for process mining are diverse. An essential prerequisite is the availability of the required data in the right quality and quantity.…”

Section: Figure 4: Possible Uses Of Data Mining [25]mentioning

confidence: 99%

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Evaluation of process mining for a typical plant planning task

Grzona,

Weißflog

2023

Průmyslové Inženýrství 2023

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The paper gives an introduction into the field of factory planning with the specific task of the evaluation of the logistics costs for an existing system with the help of VDI-4405 and the usage of Process Mining. The actual challenges in intralogistics are shown and is explained how in a traditional manner a material flow analysis can be performed. Based on these foundations a new concept for the incorporation of Process Mining into an existing material flow analysis workflow has been elaborated with the help of an industry 4.0 data driven monitoring concept. In a case study the planning efforts for an interview and type representative material flow modelling is then compared with the efforts needed to fulfil the same task with the help of Process Mining.

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“…Zahlreiche Industriezweige, wie z. B. die Fertigungsindustrie oder die Automobilindustrie, setzen bereits heute digitale Industrie‐4.0‐Methoden zur Qualitätsregelung ein [2]. Immer weiter entwickelte Algorithmen der künstlichen Intelligenz (KI) bzw.…”

Section: Introductionunclassified

Bildbasierte Frischbetonprüfung – Teil 1: Konsistenz und Leimgehalt des Frischbetons

Schack

Coenen

Haist

2023

Beton und Stahlbetonbau

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Zur Prüfung der Eigenschaften von Frischbeton liegen gegenwärtig nur sehr einfache empirische Prüfverfahren vor. Im DACH‐Raum wird überwiegend das Ausbreitmaß als Prüfverfahren eingesetzt. Aus dem Durchmesser des ausgebreiteten Frischbetons wird dabei auf die Konsistenz des Betons geschlossen. (Korrektur‐)Maßnahmen bei festgestellten Qualitätsabweichungen basieren nahezu ausschließlich auf einer subjektiven Augenscheinprüfung und demnach auf dem Erfahrungswissen der handelnden Personen. Zur Überwindung und Erweiterung dieser stark subjektiv geprägten Frischbetonprüfung wurde eine bildbasierte Methodik zur Ermittlung von (Frisch‐)Betoneigenschaften entwickelt und validiert. Neben dem Durchmesser können so u. a. aus der Oberflächengestalt umfangreiche – bislang für den Prüfenden unzugängliche – Informationen z. B. zur Betonzusammensetzung oder zur Homogenität des Frischbetons abgeleitet werden. Im vorliegenden Beitrag werden zunächst die Grundlagen für die bildbasierte Frischbetonprüfung erläutert und anschließend eine Methode zur bildbasierten Ermittlung der Konsistenz und des Leimgehalts von frischem Beton vorgestellt. In Folgebeiträgen wird darauf aufbauend die bildbasierte Ermittlung granulometrischer Eigenschaften (Teil 2) und der Homogenität des Frischbetons vorgestellt (Teil 3).

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Digitalisierung und Künstliche Intelligenz in der Produktion

Cited by 20 publications

References 1 publication

Overview of Technology and Functionality Standards for Industry 4.0 and Digitalization in Mechanical Engineering

Overview of Technology and Functionality Standards for Industry 4.0 and Digitalization in Mechanical Engineering

Evaluation of process mining for a typical plant planning task

Bildbasierte Frischbetonprüfung – Teil 1: Konsistenz und Leimgehalt des Frischbetons

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