Pub Date : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931848
I. Vasiliev, L. Frangu, M. Cristea
This paper deals with the fault detection of centrifugal pumps, based on measured radial vibrations. The detection method compares the vibration signature of the equipment during normal behavior with the current recorded vibration signal. It raises an alarm if a distance function of the resulted residuum exceeds a predefined threshold. The normal signature and the threshold are learned through a machine learning procedure, based on autoencoding neural networks (NN). Two versions of NNs are trained and evaluated. The detection method proved to be reliable in an industrial application, even when using a single low-cost accelerometer for vibration sensing.
{"title":"Pump Fault Detection Using Autoencoding Neural Network","authors":"I. Vasiliev, L. Frangu, M. Cristea","doi":"10.1109/ICSTCC55426.2022.9931848","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931848","url":null,"abstract":"This paper deals with the fault detection of centrifugal pumps, based on measured radial vibrations. The detection method compares the vibration signature of the equipment during normal behavior with the current recorded vibration signal. It raises an alarm if a distance function of the resulted residuum exceeds a predefined threshold. The normal signature and the threshold are learned through a machine learning procedure, based on autoencoding neural networks (NN). Two versions of NNs are trained and evaluated. The detection method proved to be reliable in an industrial application, even when using a single low-cost accelerometer for vibration sensing.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125081444","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 : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931865
A. Alexandrescu, N. Botezatu, R. Lupu
In relation to an ever changing epidemiological world context, a category of people that is more subject to be impacted consists of the elderly. Certain steps can be taken in order to improve their quality of life especially in case of illness. One way of achieving this is to have a smart assistive living environment, which includes home automation and medical monitoring. The proposed system expands on an IoT solution for assisted living and introduces a highly flexible rules engine for processing physiological and domotics data obtained from the home environment, and for interacting with the system actuators. As proof-of-concept, there are several use-cases that are discussed depending on the type of patient: diabetic, cardiac, hypertensive, obese, COVID or Alzheimer. These scenarios emphasize the efficiency of the proposed solution and offer an insight on the high degree of abstraction and extensibility of the system.
{"title":"Monitoring and processing of physiological and domotics parameters in an Internet of Things (IoT) assistive living environment","authors":"A. Alexandrescu, N. Botezatu, R. Lupu","doi":"10.1109/ICSTCC55426.2022.9931865","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931865","url":null,"abstract":"In relation to an ever changing epidemiological world context, a category of people that is more subject to be impacted consists of the elderly. Certain steps can be taken in order to improve their quality of life especially in case of illness. One way of achieving this is to have a smart assistive living environment, which includes home automation and medical monitoring. The proposed system expands on an IoT solution for assisted living and introduces a highly flexible rules engine for processing physiological and domotics data obtained from the home environment, and for interacting with the system actuators. As proof-of-concept, there are several use-cases that are discussed depending on the type of patient: diabetic, cardiac, hypertensive, obese, COVID or Alzheimer. These scenarios emphasize the efficiency of the proposed solution and offer an insight on the high degree of abstraction and extensibility of the system.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125861519","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 : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931811
Diana-Andreea Arsene, Alexandru Predescu, Maria Stuparu, Ciprian-Octavian Truică, M. Mocanu, Costin-Gabriel Chiru
Monitoring water consumption has multiple benefits nowadays. Big data collected from the sensors provide a consistent basis for the decision-making processes in terms of establishing the indices and criteria needed to optimize the water demand. In this study, the data provided by four distinct water consumption outlets (hot/cold water sink, toilet, and shower) from multiple households were analyzed. A clustering analysis revealed a visual overview of the consumption events from each outlet. Then, classification methods were used to predict the source of water consumption events using four algorithms based on machine learning and deep learning. The proposed methods and results are promising towards the development of a decision support system for streamlining water consumption in urban water distribution systems.
{"title":"Predicting consumption events in a water monitoring system","authors":"Diana-Andreea Arsene, Alexandru Predescu, Maria Stuparu, Ciprian-Octavian Truică, M. Mocanu, Costin-Gabriel Chiru","doi":"10.1109/ICSTCC55426.2022.9931811","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931811","url":null,"abstract":"Monitoring water consumption has multiple benefits nowadays. Big data collected from the sensors provide a consistent basis for the decision-making processes in terms of establishing the indices and criteria needed to optimize the water demand. In this study, the data provided by four distinct water consumption outlets (hot/cold water sink, toilet, and shower) from multiple households were analyzed. A clustering analysis revealed a visual overview of the consumption events from each outlet. Then, classification methods were used to predict the source of water consumption events using four algorithms based on machine learning and deep learning. The proposed methods and results are promising towards the development of a decision support system for streamlining water consumption in urban water distribution systems.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127255163","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 : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931806
G. Ene, A. Bâra, S. Oprea, Costin Baroiu, Dragos-Catalin Barbu
This paper examines the effect of lockdown measures on population mobility during the COVID-19 pandemic in Romania. Many countries, including Romania, have adopted quarantine and isolation for infected people in attempting to stop the virus transmission and the rapid escalation of the number of cases, which has put great pressure on hospitals. These measures have slowed down the economy leading to the loss of jobs with a massive impact on people's psychology by increasing panic or anxiety. Mobility data is used as a measurement representation of social distancing and therefore, combining mobility data sets with COVID-19-related data might support the analysis between the virus effects and mobility and, correspondingly, the population mobility impact on virus transmission. It is undeniable that the imposed restrictions have influenced the business environment, our aim being to investigate the relationship between the number of COVID-19 cases, the virus reproduction rate, and the changes in mobility toward retail outlets and workplaces.
{"title":"Mobility, COVID-19 cases and virus reproduction rate data analysis for Romania using Machine Learning Algorithms","authors":"G. Ene, A. Bâra, S. Oprea, Costin Baroiu, Dragos-Catalin Barbu","doi":"10.1109/ICSTCC55426.2022.9931806","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931806","url":null,"abstract":"This paper examines the effect of lockdown measures on population mobility during the COVID-19 pandemic in Romania. Many countries, including Romania, have adopted quarantine and isolation for infected people in attempting to stop the virus transmission and the rapid escalation of the number of cases, which has put great pressure on hospitals. These measures have slowed down the economy leading to the loss of jobs with a massive impact on people's psychology by increasing panic or anxiety. Mobility data is used as a measurement representation of social distancing and therefore, combining mobility data sets with COVID-19-related data might support the analysis between the virus effects and mobility and, correspondingly, the population mobility impact on virus transmission. It is undeniable that the imposed restrictions have influenced the business environment, our aim being to investigate the relationship between the number of COVID-19 cases, the virus reproduction rate, and the changes in mobility toward retail outlets and workplaces.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124039479","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 : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931819
G. Georgieva-Tsaneva
This paper presents a training information system for studying biomedical cardiological data. The software system examines cardiological data obtained in real conditions (electrocardiographic, photoplethysmographic, and Holter data). The interactive system is oriented toward upgrading the training of students in medicine and health care, providing an opportunity to create a preliminary experience for future medical professionals in working with different types of cardiological data. The use of photoplethysmographic and Holter data is discussed in more detail. The presented system provides an opportunity to conduct research and studies on the interaction between the heart and the functioning of the human organism. The article shows the results obtained in the analysis of cardiac data registered in healthy subjects and patients with cardiovascular disease. Graphical results (Spectrogram and Global Power Spectral Density) from the study of healthy subjects compared with the graphic results of subjects with arrhythmia are presented and discussed.
{"title":"An Information System for Cardiological Data Studying","authors":"G. Georgieva-Tsaneva","doi":"10.1109/ICSTCC55426.2022.9931819","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931819","url":null,"abstract":"This paper presents a training information system for studying biomedical cardiological data. The software system examines cardiological data obtained in real conditions (electrocardiographic, photoplethysmographic, and Holter data). The interactive system is oriented toward upgrading the training of students in medicine and health care, providing an opportunity to create a preliminary experience for future medical professionals in working with different types of cardiological data. The use of photoplethysmographic and Holter data is discussed in more detail. The presented system provides an opportunity to conduct research and studies on the interaction between the heart and the functioning of the human organism. The article shows the results obtained in the analysis of cardiac data registered in healthy subjects and patients with cardiovascular disease. Graphical results (Spectrogram and Global Power Spectral Density) from the study of healthy subjects compared with the graphic results of subjects with arrhythmia are presented and discussed.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121038767","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 : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931762
L. Ferariu, Iosif-Alin Beti
Single image super-resolution algorithms aim to increase the resolution of an input image without deteriorating its visual perception. With a strong ability to understand the structure of an image, convolutional neural networks (CNNs) are successfully applied to this problem. Previous studies have shown that human perception is mainly influenced by variations in luminance. In this regard, this paper introduces two CNNs that operate only on the luminance channel, at low computational costs. Each model provides an end-to-end mapping between a low-resolution (LR) and a high-resolution (HR) map. Because upsampling is integrated into CNN, the design allows the control of HR image quality. In addition, the neural architectures can be configured with many layers operating with small LR feature maps, to provide fast run-time image processing. The approach is exemplified in two cases: generate the HR map or a residual map for the luminance channel; the residual map should be added to the map upsampled by interpolation. Besides having improved time performance, the two models can produce HR images with high NIQE scores, as shown experimentally.
{"title":"End-to-End Single Image Super-Resolution Based on Convolutional Neural Networks","authors":"L. Ferariu, Iosif-Alin Beti","doi":"10.1109/ICSTCC55426.2022.9931762","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931762","url":null,"abstract":"Single image super-resolution algorithms aim to increase the resolution of an input image without deteriorating its visual perception. With a strong ability to understand the structure of an image, convolutional neural networks (CNNs) are successfully applied to this problem. Previous studies have shown that human perception is mainly influenced by variations in luminance. In this regard, this paper introduces two CNNs that operate only on the luminance channel, at low computational costs. Each model provides an end-to-end mapping between a low-resolution (LR) and a high-resolution (HR) map. Because upsampling is integrated into CNN, the design allows the control of HR image quality. In addition, the neural architectures can be configured with many layers operating with small LR feature maps, to provide fast run-time image processing. The approach is exemplified in two cases: generate the HR map or a residual map for the luminance channel; the residual map should be added to the map upsampled by interpolation. Besides having improved time performance, the two models can produce HR images with high NIQE scores, as shown experimentally.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128488645","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 : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931775
Moina Diana, Nicoleta Munteanu, D. Munteanu, D. Cristea
The paper addresses the detection of floating and underwater marine mines from images recorded from cameras (taken from drones, submarines, ships, boats). Due to the lack of image datasets, images were taken from the Internet and by using the technique of augmentation and synthetic image generation (by overlapping images with different types of mines over water backgrounds) 2 data sets were built (one for floating mines and one for underwater mines). The networks were trained and compared using 3 types of Deep Learning models Yolov5, SSD and EfficientDet (Yolov5, SSD for floating mines and Yolov5 and EfficientDet for underwater mines). The networks were also tested in the context of an IoT device (RaspberryPi 4, RPi camera).
{"title":"Marine Mine Detection Using Deep Learning","authors":"Moina Diana, Nicoleta Munteanu, D. Munteanu, D. Cristea","doi":"10.1109/ICSTCC55426.2022.9931775","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931775","url":null,"abstract":"The paper addresses the detection of floating and underwater marine mines from images recorded from cameras (taken from drones, submarines, ships, boats). Due to the lack of image datasets, images were taken from the Internet and by using the technique of augmentation and synthetic image generation (by overlapping images with different types of mines over water backgrounds) 2 data sets were built (one for floating mines and one for underwater mines). The networks were trained and compared using 3 types of Deep Learning models Yolov5, SSD and EfficientDet (Yolov5, SSD for floating mines and Yolov5 and EfficientDet for underwater mines). The networks were also tested in the context of an IoT device (RaspberryPi 4, RPi camera).","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"91 21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128786853","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 : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931769
A. Wache, H. Aschemann
In this paper, a new approach to tuning and optimisation of controlled systems regarding the tracking behaviour is presented. This approach can be understood as an extension to the iterative feedback tuning (IFT) approach known from the literature. Motivated by the sensitivity concept, the IFT algorithm is extended to both linear and nonlinear systems in state-space description with static state-feedback control, resulting in the proposed iterative state-feedback tuning (ISFT) method. The main contribution consists of the derivation of a closed sensitivity function for quadratic cost functions, which is typical for control optimisation problems. The proposed approach results in a gradient-based iterative algorithm for control parameter adaptation. In the end, two exemplary simulation results will be presented for a linear and a nonlinear system, demonstrating the usability of this new approach and a slight improvement w.r.t. the classical IFT.
{"title":"Sensitivity-Based Iterative State-Feedback Tuning for Nonlinear Systems","authors":"A. Wache, H. Aschemann","doi":"10.1109/ICSTCC55426.2022.9931769","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931769","url":null,"abstract":"In this paper, a new approach to tuning and optimisation of controlled systems regarding the tracking behaviour is presented. This approach can be understood as an extension to the iterative feedback tuning (IFT) approach known from the literature. Motivated by the sensitivity concept, the IFT algorithm is extended to both linear and nonlinear systems in state-space description with static state-feedback control, resulting in the proposed iterative state-feedback tuning (ISFT) method. The main contribution consists of the derivation of a closed sensitivity function for quadratic cost functions, which is typical for control optimisation problems. The proposed approach results in a gradient-based iterative algorithm for control parameter adaptation. In the end, two exemplary simulation results will be presented for a linear and a nonlinear system, demonstrating the usability of this new approach and a slight improvement w.r.t. the classical IFT.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114429971","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 : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931871
Dumitru-Cristian Apostol, Paul-Daniel Rusovan, M. Marcu
Due to benefits such as cost savings and accuracy, automated translation of UML models to executable code is becoming more popular. However, important issues in this field include maintainability and efficiency of the produced code, as well as evaluating the consistency of UML models. This paper describes a mechanism for automatically translating UML models into code in a specific programming language. For automatic code creation, the program UML to Code employs UML class diagrams for structural reference. The program creates code structure based on the class diagram, having as backbone, a state machine that converts the XML into code. The code generating tool is experimentally validated using a case study. The resulting code is compatible with UML models, functional, efficient and intelligible, according to the results.
由于成本节约和准确性等优点，UML模型到可执行代码的自动翻译正变得越来越流行。然而，该领域的重要问题包括所生成代码的可维护性和效率，以及UML模型的一致性评估。本文描述了一种自动将UML模型转换为特定编程语言代码的机制。对于自动代码创建，程序UML to code使用UML类图作为结构参考。该程序基于类图创建代码结构，并以将XML转换为代码的状态机作为主干。该代码生成工具通过案例研究进行了实验验证。根据结果，生成的代码与UML模型兼容，功能齐全，高效且易于理解。
{"title":"UML to code, and code to UML, a view inside implementation challenges and cost","authors":"Dumitru-Cristian Apostol, Paul-Daniel Rusovan, M. Marcu","doi":"10.1109/ICSTCC55426.2022.9931871","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931871","url":null,"abstract":"Due to benefits such as cost savings and accuracy, automated translation of UML models to executable code is becoming more popular. However, important issues in this field include maintainability and efficiency of the produced code, as well as evaluating the consistency of UML models. This paper describes a mechanism for automatically translating UML models into code in a specific programming language. For automatic code creation, the program UML to Code employs UML class diagrams for structural reference. The program creates code structure based on the class diagram, having as backbone, a state machine that converts the XML into code. The code generating tool is experimentally validated using a case study. The resulting code is compatible with UML models, functional, efficient and intelligible, according to the results.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124153264","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 : 2022-10-19DOI: 10.1109/ICSTCC55426.2022.9931782
A. Filipescu, D. Cernega, E. Minca, R. Șolea, D. Ionescu, Georgian Simion, A. Filipescu
The paper presents digital twin multi-functional technology for flexible production on an assembly, disassembly and repair (A/D/RML) mechatronics line assisted by a complex autonomous system (CAS). The real world consists of A/D/RML a mechatronic line (ML) with six workstations (WS) connected to a flexible cell (FC) equipped with an industrial robotic manipulator (IRM). The multifunctionality of the system is given by the three actions, assembly, disassembly and repair (the flexibility is due to the assembly of different types of products). After disassembly or repair, CAS picks up and transports the disassembled components to the appropriate storage positions for reuse. The technology works synchronously with signals from various sensors and a mobile visual servo system (VSS eye-in-hand). The virtual representation serving as a digital counterpart consists of task assignment, scheduling and A/D/RML synchronisation with integrated robotic systems. The virtual world also includes hybrid modeling and simulation with synchronized hybrid Petri nets (SHPN), VSS eye-in-hand modeling and implementation, simulation in MobileSim and graphical user interface (GUI) for real-time control monitoring, so that the whole system becomes fully automated.
{"title":"Digital Twin for a Mechatronics Line with Integrated Mobile Robotic Systems","authors":"A. Filipescu, D. Cernega, E. Minca, R. Șolea, D. Ionescu, Georgian Simion, A. Filipescu","doi":"10.1109/ICSTCC55426.2022.9931782","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931782","url":null,"abstract":"The paper presents digital twin multi-functional technology for flexible production on an assembly, disassembly and repair (A/D/RML) mechatronics line assisted by a complex autonomous system (CAS). The real world consists of A/D/RML a mechatronic line (ML) with six workstations (WS) connected to a flexible cell (FC) equipped with an industrial robotic manipulator (IRM). The multifunctionality of the system is given by the three actions, assembly, disassembly and repair (the flexibility is due to the assembly of different types of products). After disassembly or repair, CAS picks up and transports the disassembled components to the appropriate storage positions for reuse. The technology works synchronously with signals from various sensors and a mobile visual servo system (VSS eye-in-hand). The virtual representation serving as a digital counterpart consists of task assignment, scheduling and A/D/RML synchronisation with integrated robotic systems. The virtual world also includes hybrid modeling and simulation with synchronized hybrid Petri nets (SHPN), VSS eye-in-hand modeling and implementation, simulation in MobileSim and graphical user interface (GUI) for real-time control monitoring, so that the whole system becomes fully automated.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122271343","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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