Model improvement through real data connection for Virtual commissioning in ramp-up management of scalable production systems

Die hohen Anforderungen an moderne Fertigungssysteme erfordern leistungsfähige Engineering-Lösungen. Wie man die Identifikation von Fehlerursachen in komplexen Anlagen erleichtert, wurde in einer Machbarkeitsstudie des Fraunhofer IPK im Auftrag von Siemens DI FA untersucht. In der vorgestellten Lösung werden die Daten der Anlage auf Feldbusebene erfasst und in den digitalen Zwilling eingespeist. So kann das Verhalten der Komponenten taktgenau nachvollzogen werden. Dies elaubt einen tiefen Einblick in das System und unterstützt so bei der Fehlerbehebung.   Powerful engineering tools are required to keep modern production systems manageable. Siemens DI FA and the Fraunhofer IPK present a novel tool for root cause analysis within complex manufacturing systems. The solution combines a CAx plant model with control data recorded from the field bus. This creates a comprehensive digital twin, allowing to analyse past machine behavior with bus clock resolution.

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conexing/conexing: Simulation total – Internet as Infochannel

wt Werkstattstechnik online ◽

10.37544/1436-4980-2015-09-93 ◽

2015 ◽

Vol 105 (09) ◽

pp. 651-656

Author(s):

A. König ◽

T. Benkner ◽

J.-P. Schulz

Keyword(s):

Planning Process ◽

Production Systems ◽

System Component ◽

File Format ◽

Web Portal ◽

New Approach ◽

Automated Production ◽

Virtual Commissioning ◽

System Components ◽

Engineering Information

Der Fachartikel beschreibt ein neues Konzept zur interdisziplinären, gewerkeübergreifenden Zusammenarbeit von Unternehmen im Planungsprozess von automatisierten Produktionssystemen. Der Ansatz „conexing“ definiert ein planungsübergreifendes Dateiformat auf Basis des AutomationML-Standards für Anlagenkomponenten sowie eine Austauschschnittstelle mittels eines Webportals. Die hier vorgestellte Methodik erlaubt den Austausch von Komponenten inklusive ihres logischen Verhaltens für die virtuelle Inbetriebnahme zwischen unterschiedlichen Engineering-Werkzeugen.   This article describes a new approach to interdisciplinary – cross-trade business cooperation in the planning process of automated production systems. The conexing approach defines so called SmartComponent, as a file format for system components based on the AutomationML standards for the exchange of plant engineering information. These SmartComponents include detailed system component information as well as their logical behavior. The presented approach additionally allows an exchange of SmartComponents between different engineering tools for virtual commissioning via a web portal.

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Virtual Commissioning – Scientific review and exploratory use cases in advanced production systems

Procedia CIRP ◽

10.1016/j.procir.2019.03.278 ◽

2019 ◽

Vol 81 ◽

pp. 1125-1130 ◽

Cited By ~ 13

Author(s):

Tobias Lechler ◽

Eva Fischer ◽

Maximilian Metzner ◽

Andreas Mayr ◽

Jörg Franke

Keyword(s):

Production Systems ◽

Use Cases ◽

Scientific Review ◽

Virtual Commissioning ◽

Advanced Production

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Exploiting data in smart factories: real-time state estimation and model improvement in metal forming mass production

International Journal of Material Forming ◽

10.1007/s12289-019-01495-2 ◽

2019 ◽

Vol 13 (5) ◽

pp. 663-673 ◽

Cited By ~ 1

Author(s):

Jos Havinga ◽

Pranab K. Mandal ◽

Ton van den Boogaard

Keyword(s):

State Estimation ◽

Mass Production ◽

Metal Forming ◽

Particle Filtering ◽

Production Systems ◽

Model Parameters ◽

Real Process ◽

Sheet Bending ◽

Model Improvement ◽

Pseudo Data

Abstract Modern production systems have numerous sensors that produce large amounts of data. This data can be exploited in many ways, from providing insight into the manufacturing process to facilitating automated decision making. These opportunities are still underexploited in the metal forming industry, due to the complexity of these processes. In this work, a probabilistic framework is proposed for simultaneous model improvement and state estimation in metal forming mass production. Recursive Bayesian estimation is used to simultaneously track the evolution of process state and to estimate the deviation between the physics-based model and the real process. A sheet bending mass production process is used to test the proposed framework. A metamodel of the process is built using proper orthogonal decomposition and radial basis function interpolation. The model is extended with a deviation model in order to account for the difference between model and real process. Particle filtering is used to track the state evolution and to estimate the deviation model parameters simultaneously. The approach is tested and analysed using a large number of simulations, based on pseudo-data obtained from a numerical sheet bending model.

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Economic application of virtual commissioning to mechatronic production systems

Production Engineering ◽

10.1007/s11740-007-0066-0 ◽

2007 ◽

Vol 1 (4) ◽

pp. 371-379 ◽

Cited By ~ 62

Author(s):

Gunther Reinhart ◽

Georg Wünsch

Keyword(s):

Production Systems ◽

Economic Application ◽

Virtual Commissioning

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Generación de energía eléctrica en la edificación mediante tecnología de disco Stirling =Electrical energy generation in building by means of Stirling dish technology

Anales de Edificación ◽

10.20868/ade.2017.3567 ◽

2017 ◽

Vol 3 (2) ◽

pp. 9

Author(s):

Carlos Morón ◽

Daniel Ferrández ◽

Jorge Pablo Díaz ◽

Pablo Saiz

Keyword(s):

Production Systems ◽

Real Data ◽

Electrical Energy ◽

Stirling Engine ◽

Single Family ◽

Expected Performance ◽

New Energy ◽

Increasing Demand ◽

High Level

ResumenLa creciente demanda de energía acompañada de los elevados niveles de emisión de gases contaminantes a la atmosfera hace patente la necesidad de encontrar nuevos sistemas de producción de energía. Una de las posibles alternativas se encuentra en la energía solar de concentración, y más concretamente en la tecnología termosolar con motor Stirling que alcanza unos niveles de rendimiento muy superiores a la energía solar fotovoltaica en cuanto a producción de energía eléctrica. En este trabajo se muestra el diseño y la caracterización de un prototipo de captador paraboloidal con motor Stirling, que permite obtener datos reales del funcionamiento de este tipo de sistemas. Esto permitirá modelizar de manera real el comportamiento esperado de equipos comerciales reales antes de abordar su implantación en edificios y viviendas unifamiliares.AbstractThe increasing demand for energy accompanied by high level of emission of the contaminating gases into the atmosphere underscores the need to find new energy production systems. One of the possible alternatives is concentrating solar power and, more specifically, solar thermal technology with a Stirling engine that reaches higher performance levels than photovoltaic solar energy in terms of electricity generation. This paper shows the design and characterization of a prototype paraboloidal collector with a Stirling engine that allows obtaining real data of this type of systems functioning. This will allow modelling in a real way of expected performance of real commercial devices before approaching their introduction in buildings and single-family houses.

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A slacks-based measure approach for efficiency decomposition in multi-period two-stage systems

RAIRO - Operations Research ◽

10.1051/ro/2019113 ◽

2020 ◽

Vol 54 (6) ◽

pp. 1657-1671

Author(s):

Samaneh Esfidani ◽

Farhad Hosseinzadeh Lotfi ◽

Shabnam Razavyan ◽

Ali Ebrahimnejad

Keyword(s):

Production Systems ◽

Weighted Average ◽

Real Data ◽

Stage Structure ◽

Data Envelopment ◽

Two Stage ◽

Bank Branches ◽

Proposed Model ◽

Efficiency Decomposition ◽

Dea Models

Two-stage production systems are often encountered in many real applications where the production process is divided into two processes. In contrast to the conventional data envelopment analysis (DEA) models, two-stage DEA models take the operations of the internal processes into account. A number of studies have used two-stage DEA models in order to evaluate the performance of decision making units (DMUs) having a network structure. In this paper, we use a non-radial DEA model called the network slacks-based measure (NSBM) model to measure the efficiency of a system with a multi-period two-stage structure. Then we describe the properties of the proposed model in details. Moreover, we shall decompose the overall efficiency of the system over a number of time periods as a weighted average of the efficiency in each period. The efficiency of the stages, in respect to the entire periods shall be decomposed in terms of the weighted average efficiency of the stages in each period. Finally, the real data of Mellat bank branches in Tehran extracted from extant literature is used to illustrate the proposed approach.

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