Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972054
Zheng Ma, Magnus Værbak, Rune Rasmussen, B. Jørgensen
Security of energy supply and energy efficiency are challenges for many university campuses. Campus microgrid with distributed energy resources is considered as a solution for solving these challenges. However, the microgrid adoption for university campuses has to consider various factors due to the cost of DER installation and operation, campus activities and energy regulation etc. This paper investigates the possibility and feasibility of microgrid adoption for a university in Denmark, by analyzing the electricity and heat consumption patterns, the capacity of existing installed DERs, and the benefits and barriers for future installation of possible DER technologies. Based on this analysis the paper proposes three energy scenarios with different potential DER solutions, and provides simulations for investigating the energy balance and economic feasibility of each scenario.
{"title":"Distributed Energy Resource Adoption for Campus Microgrid","authors":"Zheng Ma, Magnus Værbak, Rune Rasmussen, B. Jørgensen","doi":"10.1109/INDIN41052.2019.8972054","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972054","url":null,"abstract":"Security of energy supply and energy efficiency are challenges for many university campuses. Campus microgrid with distributed energy resources is considered as a solution for solving these challenges. However, the microgrid adoption for university campuses has to consider various factors due to the cost of DER installation and operation, campus activities and energy regulation etc. This paper investigates the possibility and feasibility of microgrid adoption for a university in Denmark, by analyzing the electricity and heat consumption patterns, the capacity of existing installed DERs, and the benefits and barriers for future installation of possible DER technologies. Based on this analysis the paper proposes three energy scenarios with different potential DER solutions, and provides simulations for investigating the energy balance and economic feasibility of each scenario.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123717994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972065
Maximilian Zarte, Jeffrey Wermann, Philippe Heeren, Agnes Pechmann
A wide range of skills, knowledge, and competencies are required and expected from students to solve current problems for digitalization. One opportunity to teach and gain knowledge for the digitalization of manufacturing systems is the use of learning factories. Motivated by previously developed learning factories for digitalization in manufacturing, the research team of the production-planning lab of the University of Applied Sciences Emden/Leer decided to build its own learning factory. The paper provides an overview of the developed learning factory, physical and digital structure, requirements, challenges, and learning benefits to build a learning factory with the aid of student projects. The paper concludes with a summary and ideas for future work.
{"title":"Concept, Challenges, and Learning Benefits Developing an Industry 4.0 Learning Factory with Student Projects","authors":"Maximilian Zarte, Jeffrey Wermann, Philippe Heeren, Agnes Pechmann","doi":"10.1109/INDIN41052.2019.8972065","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972065","url":null,"abstract":"A wide range of skills, knowledge, and competencies are required and expected from students to solve current problems for digitalization. One opportunity to teach and gain knowledge for the digitalization of manufacturing systems is the use of learning factories. Motivated by previously developed learning factories for digitalization in manufacturing, the research team of the production-planning lab of the University of Applied Sciences Emden/Leer decided to build its own learning factory. The paper provides an overview of the developed learning factory, physical and digital structure, requirements, challenges, and learning benefits to build a learning factory with the aid of student projects. The paper concludes with a summary and ideas for future work.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124490493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972114
Mohamed Khalil, C. Bergs, T. Papadopoulos, R. Wüchner, K. Bletzinger, M. Heizmann
Online condition monitoring services and predictive maintenance are becoming more and more a key for system operators to extend the system lifetime and detect faults in early stages. Therefore, system manufactures need to efficiently provide system operators so-called digital twins which can be executed during operation and give the system operator an impression of the health state of the system. Industrial Internet of Things (IIoT) platforms are enablers for such services and provide new possibilities to interact with the system running in the field. Furthermore, the traditional dashboard are becoming obsolete as user interface and are replaced by novel solutions that let the system operator experience the system health state. For example, health estimation and condition monitoring of electric motors is a topic of high interest nowadays. This article addresses an application which acquires machine data, processes it on an IIoT platform to get the system health and visualizes the results online in an augmented reality user interface.
{"title":"IIoT-based Fatigue Life Indication using Augmented Reality","authors":"Mohamed Khalil, C. Bergs, T. Papadopoulos, R. Wüchner, K. Bletzinger, M. Heizmann","doi":"10.1109/INDIN41052.2019.8972114","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972114","url":null,"abstract":"Online condition monitoring services and predictive maintenance are becoming more and more a key for system operators to extend the system lifetime and detect faults in early stages. Therefore, system manufactures need to efficiently provide system operators so-called digital twins which can be executed during operation and give the system operator an impression of the health state of the system. Industrial Internet of Things (IIoT) platforms are enablers for such services and provide new possibilities to interact with the system running in the field. Furthermore, the traditional dashboard are becoming obsolete as user interface and are replaced by novel solutions that let the system operator experience the system health state. For example, health estimation and condition monitoring of electric motors is a topic of high interest nowadays. This article addresses an application which acquires machine data, processes it on an IIoT platform to get the system health and visualizes the results online in an augmented reality user interface.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124679372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972140
J. Mendonça, Marta Duarte, V. Coch, E. Estrada, Ricardo Rodrigues, S. Botelho
In the fertilizer industry, granulometric analysis is an important quality control of the product. Usually, this process is done mechanically, through sieving, which makes the process slow. As an alternative to this, a methodology based on digital image processing for fertilizer classification is proposed. This approach allows to measure feret’s diameter, area, volume and mass, important indicators to characterize fertilizers. The results obtained were validated with sieved samples and demonstrate the applicability of the method as a low cost alternative to the traditional method of granulometry of fertilizers.
{"title":"Granulometric Analysis of Fertilizers by Digital Image Processing","authors":"J. Mendonça, Marta Duarte, V. Coch, E. Estrada, Ricardo Rodrigues, S. Botelho","doi":"10.1109/INDIN41052.2019.8972140","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972140","url":null,"abstract":"In the fertilizer industry, granulometric analysis is an important quality control of the product. Usually, this process is done mechanically, through sieving, which makes the process slow. As an alternative to this, a methodology based on digital image processing for fertilizer classification is proposed. This approach allows to measure feret’s diameter, area, volume and mass, important indicators to characterize fertilizers. The results obtained were validated with sieved samples and demonstrate the applicability of the method as a low cost alternative to the traditional method of granulometry of fertilizers.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124926333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972306
Qian Wang, H. Chen, Yonghui Li, Zhibo Pang, B. Vucetic
This paper considers an Industrial Internet of Thing (IIoT) system with a source monitoring a dynamic process with randomly generated status updates. The status updates are sent to an designated destination in a real-time manner over an unreliable link. The source is subject to a practical constraint of limited average transmission power. Thus, the system should carefully schedule when to transmit a fresh status update or retransmit the stale one. To characterize the performance of timely status update, we adopt a recent concept, Age of Information (AoI), as the performance metric. We aim to minimize the long-term average AoI under the limited average transmission power at the source, by formulating a constrained Markov Decision Process (CMDP) problem. To address the formulated CMDP, we recast it into an unconstrained Markov Decision Process (MDP) through Lagrangian relaxation. We prove the existence of optimal stationary policy of the original CMDP, which is a randomized mixture of two deterministic stationary policies of the unconstrained MDP. We also explore the characteristics of the problem to reduce the action space of each state to significantly reduce the computation complexity. We further prove the threshold structure of the optimal deterministic policy for the unconstrained MDP. Simulation results show the proposed optimal policy achieves lower average AoI compared with random policy, especially when the system suffers from stricter resource constraint. Besides, the influence of status generation probability and transmission failure rate on optimal policy and the resultant average AoI as well as the impact of average transmission power on the minimal average AoI are unveiled.
{"title":"Minimizing Age of Information for Real-Time Monitoring in Resource-Constrained Industrial IoT Networks","authors":"Qian Wang, H. Chen, Yonghui Li, Zhibo Pang, B. Vucetic","doi":"10.1109/INDIN41052.2019.8972306","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972306","url":null,"abstract":"This paper considers an Industrial Internet of Thing (IIoT) system with a source monitoring a dynamic process with randomly generated status updates. The status updates are sent to an designated destination in a real-time manner over an unreliable link. The source is subject to a practical constraint of limited average transmission power. Thus, the system should carefully schedule when to transmit a fresh status update or retransmit the stale one. To characterize the performance of timely status update, we adopt a recent concept, Age of Information (AoI), as the performance metric. We aim to minimize the long-term average AoI under the limited average transmission power at the source, by formulating a constrained Markov Decision Process (CMDP) problem. To address the formulated CMDP, we recast it into an unconstrained Markov Decision Process (MDP) through Lagrangian relaxation. We prove the existence of optimal stationary policy of the original CMDP, which is a randomized mixture of two deterministic stationary policies of the unconstrained MDP. We also explore the characteristics of the problem to reduce the action space of each state to significantly reduce the computation complexity. We further prove the threshold structure of the optimal deterministic policy for the unconstrained MDP. Simulation results show the proposed optimal policy achieves lower average AoI compared with random policy, especially when the system suffers from stricter resource constraint. Besides, the influence of status generation probability and transmission failure rate on optimal policy and the resultant average AoI as well as the impact of average transmission power on the minimal average AoI are unveiled.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122112875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972227
Johannes Meyer, Lars Klitzke, Gerd von Cölln
This work presents a new approach to estimate the orientation of wireless sensor nodes (WSN) using geomagnetic sensors. The main contribution is a new algorithm for supervised orientation estimation using geomagnetic fingerprinting. Combined with hierarchical sensing our approach leads to a significant reduction of power consumption.
{"title":"Probabilistic Geomagnetic Fingerprinting for Low-Power Orientation Estimation utilising Geometric Models","authors":"Johannes Meyer, Lars Klitzke, Gerd von Cölln","doi":"10.1109/INDIN41052.2019.8972227","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972227","url":null,"abstract":"This work presents a new approach to estimate the orientation of wireless sensor nodes (WSN) using geomagnetic sensors. The main contribution is a new algorithm for supervised orientation estimation using geomagnetic fingerprinting. Combined with hierarchical sensing our approach leads to a significant reduction of power consumption.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124132669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972136
Mira Jeong, Minji Park, ByoungChul Ko
In this paper, we propose a lightweight multi-layer random forest (LMRF) model. The LMRF model is a non-neural network-style deep model composed of arbitrary forests rather than layers. DNN is a powerful algorithm for facial recognition (FER), but there are too many parameters, careful parameter tuning, large amounts of training data, black box models, and pretrained architecture required for a current DNN. To overcome the burden of real-time processing DNN, we use the proposed LMRF with two tree structures per layer and a small number of trees for high-speed FER. We conducted experiments using an actual driving database captured using a near-infrared (NIR) camera to monitor the driver's emotions. The proposed LMRF provides similar FER accuracy to DNN with a small number of hyperparameters, and the faster processing time using the CPU.
{"title":"Intelligent Driver Emotion Monitoring Based on Lightweight Multilayer Random Forests","authors":"Mira Jeong, Minji Park, ByoungChul Ko","doi":"10.1109/INDIN41052.2019.8972136","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972136","url":null,"abstract":"In this paper, we propose a lightweight multi-layer random forest (LMRF) model. The LMRF model is a non-neural network-style deep model composed of arbitrary forests rather than layers. DNN is a powerful algorithm for facial recognition (FER), but there are too many parameters, careful parameter tuning, large amounts of training data, black box models, and pretrained architecture required for a current DNN. To overcome the burden of real-time processing DNN, we use the proposed LMRF with two tree structures per layer and a small number of trees for high-speed FER. We conducted experiments using an actual driving database captured using a near-infrared (NIR) camera to monitor the driver's emotions. The proposed LMRF provides similar FER accuracy to DNN with a small number of hyperparameters, and the faster processing time using the CPU.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128586847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972259
G. Angione, C. Cristalli, J. Barbosa, P. Leitão
Multi-stage manufacturing, typical in important industrial sectors, is inherently a complex process. The application of the zero-defect manufacturing (ZDM) philosophy, together with recent technological advances in Cyber-Physical Systems (CPS), presents significant challenges and opportunities for the implementation of new system architectures that contributes for the continuous improvement of the production. This paper describes the experience gained in the GO0D MAN project which aims at realizing a fully functional, replicable and therefore widely exploitable solution, employing multi-agent systems, smart on-line inspection tools, data analytics and knowledge management technologies. In particular, the paper presents the challenges tackled during the deployment of the GO0D MAN system architecture in three relevant industrial use cases, which represent more than 80% of the manufacturing sector.
{"title":"Integration Challenges for the Deployment of a Multi-Stage Zero-Defect Manufacturing Architecture","authors":"G. Angione, C. Cristalli, J. Barbosa, P. Leitão","doi":"10.1109/INDIN41052.2019.8972259","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972259","url":null,"abstract":"Multi-stage manufacturing, typical in important industrial sectors, is inherently a complex process. The application of the zero-defect manufacturing (ZDM) philosophy, together with recent technological advances in Cyber-Physical Systems (CPS), presents significant challenges and opportunities for the implementation of new system architectures that contributes for the continuous improvement of the production. This paper describes the experience gained in the GO0D MAN project which aims at realizing a fully functional, replicable and therefore widely exploitable solution, employing multi-agent systems, smart on-line inspection tools, data analytics and knowledge management technologies. In particular, the paper presents the challenges tackled during the deployment of the GO0D MAN system architecture in three relevant industrial use cases, which represent more than 80% of the manufacturing sector.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116027675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972116
M. Krammer, M. Benedikt
Co-simulation is considered as a state-of-the-art methodology in many industrial domains. It enables virtual system development in distributed, multi-tiered environments, like the automotive industry. The Distributed Co-Simulation Protocol (DCP) is a novel specification of an application layer communication protocol. It is standardized next to the well-established Functional Mock-Up Interface (FMI). The DCP specification addresses design and behaviour of single DCP slaves, as main components of larger, possibly distributed, co-simulation scenarios. At this point in time, no tailor-made solution for convenient description of distributed co-simulation scenarios is available. This paper presents a first version of DCPML, a domain specific modeling language for distributed co-simulation scenarios. It is based on three layers of integration and contributes to development efficiency by following a front-loading approach. It is designed as a UML profile, extending existing visual notation languages like UML and SysML. The language can be used for design, communication, and preparation for execution, of distributed co-simulation scenarios. For demonstration purposes, it is implemented in an industry relevant systems engineering tool. DCPML models can be used to import and export XML data, representing DCP slave and scenario descriptions. A typical demonstrator from the automotive domain is shown. It highlights a tool implementation and the capabilities of DCPML.
{"title":"Design and Application of a Domain Specific Modeling Language for Distributed Co-Simulation","authors":"M. Krammer, M. Benedikt","doi":"10.1109/INDIN41052.2019.8972116","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972116","url":null,"abstract":"Co-simulation is considered as a state-of-the-art methodology in many industrial domains. It enables virtual system development in distributed, multi-tiered environments, like the automotive industry. The Distributed Co-Simulation Protocol (DCP) is a novel specification of an application layer communication protocol. It is standardized next to the well-established Functional Mock-Up Interface (FMI). The DCP specification addresses design and behaviour of single DCP slaves, as main components of larger, possibly distributed, co-simulation scenarios. At this point in time, no tailor-made solution for convenient description of distributed co-simulation scenarios is available. This paper presents a first version of DCPML, a domain specific modeling language for distributed co-simulation scenarios. It is based on three layers of integration and contributes to development efficiency by following a front-loading approach. It is designed as a UML profile, extending existing visual notation languages like UML and SysML. The language can be used for design, communication, and preparation for execution, of distributed co-simulation scenarios. For demonstration purposes, it is implemented in an industry relevant systems engineering tool. DCPML models can be used to import and export XML data, representing DCP slave and scenario descriptions. A typical demonstrator from the automotive domain is shown. It highlights a tool implementation and the capabilities of DCPML.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122446874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972071
B. Vogel‐Heuser, Frieder Loch, S. Hofer, E. Neumann, F. Reinhold, Sarah Scheuerer, J. Zinn, K. Reiss
Successful innovation processes require communication between different disciplines, such as mechanical and electrical engineering or software development. However, such communication is hampered by differences in individual mental models. This paper presents two studies that investigate mental models of engineering students. The studies apply SA/RT and card sorting to analyze mental models and were conducted at the beginning of their academic education to understand influences on discipline-specific mental models that are observed in practice. The studies indicate that mental models of engineering students are typically based on structural properties of the machines. A second study identified nine dimensions that classify mental models of students. Future work that facilitates the analysis of mental models on a larger scale is proposed. The aim of this work is to understand these differences and inform educational mechanisms that teach mental model flexibility and perspective change.
{"title":"Analyzing Students’ Mental Models of Technical Systems","authors":"B. Vogel‐Heuser, Frieder Loch, S. Hofer, E. Neumann, F. Reinhold, Sarah Scheuerer, J. Zinn, K. Reiss","doi":"10.1109/INDIN41052.2019.8972071","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972071","url":null,"abstract":"Successful innovation processes require communication between different disciplines, such as mechanical and electrical engineering or software development. However, such communication is hampered by differences in individual mental models. This paper presents two studies that investigate mental models of engineering students. The studies apply SA/RT and card sorting to analyze mental models and were conducted at the beginning of their academic education to understand influences on discipline-specific mental models that are observed in practice. The studies indicate that mental models of engineering students are typically based on structural properties of the machines. A second study identified nine dimensions that classify mental models of students. Future work that facilitates the analysis of mental models on a larger scale is proposed. The aim of this work is to understand these differences and inform educational mechanisms that teach mental model flexibility and perspective change.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122622202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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