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Artificial Intelligence Based Emergency Identification Computer System

Velychko Diana, Osukhivska Halyna, Palaniza Yuri, Lutsyk Nadiia, Sobaszek Łukasz

Advances in Science and Technology. Research Journal

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2024

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Vol. 18, no 2

296--304

EN

The use of Artificial Intelligence is currently being observed in many areas of life. In addition to assisting in intellectual work, solving complex computational problems, or analyzing various types of data, the aforementioned techniques can also be applied in the process of providing security to people. The paper proposes an emergency identification system based on Artificial Intelligence that aims to provide timely detection and notification of dangerous situations. The proposed solution consider the position of a person "hands up" as an emergency situation that will indicate a potential danger for a person. Because people in the face of potential danger are mostly forced to raise their hands up and this pose attracts attention, emphasizes the emotional reaction to certain events and is usually used as a sign of risk or as a means of subjugation. The system should recognize the pose of a person, detect it, and consequently inform about the threat. In this paper, an AI based emergency identification system was proposed to detect the human pose "hands up" for emergency identification using the PoseNet Machine Learning Model. The assumption consists that the utilization only of 6 key points made allows reducing the computing resources of the system since the conclusion is made taking into account a smaller amount of data. For the study, a dataset of 1510 images was created for training an Artificial Intelligence model, and the decisions were verified. Supervised Machine Learning methods are used to classify the definition of an emergency. Alternative methods: Support Vector Machine, Logistic Regression, Naïve Bayes Classifier, Discriminant Analysis Classifier, and K-nearest Neighbours Classifier based on the accuracy were evaluated. Overall, the paper presents a comprehensive and innovative approach to emergency identification for quick response to them using the proposed system.

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A Lean Robotics Approach to the Scheduling of Robotic Adhesive Dispensing Process

Sobaszek Łukasz

Advances in Science and Technology. Research Journal

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2022

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Vol. 16, no 5

136--146

EN

Modern implementations of industrial robots require the use of extensive knowledge and novel concepts. To bring real benefits, robotized processes must be analysed in detail. One can now observe an increasing use of lean robotics, a concept that is primarily intended to simplify processes and eliminate inefficient activities. This paper deals with industrial robot task scheduling in the adhesive dispensing process. The first part of the paper presents the modern concept of production process robotisation and reviews the literature on industrial robot task scheduling. After that, the problem of robotic adhesive dispensing on the electronic components of a printed circuit board (PCB) is presented. Another section of the paper describes the scheduling of effective and supporting tasks of the robot in the analysed process with the use of alternative dispatching rules. The determination of a schedule that is optimal in terms of the defined objective made it possible to discuss the results and reach valid conclusions. The study has confirmed that modern concepts are useful for simplifying robotic production processes.

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Scalability analysis of selected structures of a reconfigurable manufacturing system taking into account a reduction in machine tools reliability

Gola Arkadiusz, Pastuszak Zbigniew, Relich Marcin, Sobaszek Łukasz, Szwarc Eryk

Eksploatacja i Niezawodność

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2021

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Vol. 23, no. 2

242--252

EN

Scalability is a key feature of reconfigurable manufacturing systems (RMS). It enables fast and cost-effective adaptation of their structure to sudden changes in product demand. In principle, it allows to adjust a system's production capacity to match the existing orders. However, scalability can also act as a "safety buffer" to ensure a required minimum level of productivity, even when there is a decline in the reliability of the machines that are part of the machine tool subsystem of a manufacturing system. In this article, we analysed selected functional structures of an RMS under design to see whether they could be expanded should the reliability of machine tools decrease making it impossible to achieve a defined level of productivity. We also investigated the impact of the expansion of the system on its reliability. To identify bottlenecks in the manufacturing process, we ran computer simulations in which the course of the manufacturing process was modelled and simulated for 2-, 3-, 4- and 5-stage RMS structures using Tecnomatix Plant Simulation software.

4

Cyber-physical systems technologies as a key factor in the process of Industry 4.0 and smart manufacturing development

Zubrzycki Jarosław, Świć Antoni, Sobaszek Łukasz, Kovac Juraj, Kralikova Ruzena, Jencik Robert, Smidova Natalia, Arapi Polyxeni, Dulencin Peter, Homza Jozef

Applied Computer Science

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2021

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Vol. 17, no 4

84--99

EN

The continuous development of production processes is currently observed in the fourth industrial revolution, where the key place is the digital transformation of production is known as Industry 4.0. The main technologies in the context of Industry 4.0 consist Cyber-Physical Systems (CPS) and Internet of Things (IoT), which create the capabili-ties needed for smart factories. Implementation of CPS solutions result in new possibilities creation – mainly in areas such as remote diagnosis, remote services, remote control, condition monitoring, etc. In this paper, authors indicated the im-portance of Cyber-Physical Systems in the process of the Industry 4.0 and the Smart Manufacturing development. Firstly, the basic information about Cyber-Physical Production Systems were outlined. Then, the alternative definitions and different authors view of the problem were discussed. Secondly, the conceptual model of Cybernetic Physical Production System was presented. Moreover, the case study of proposed solution implementation in the real manufacturing process was presented. The key stage of the verification concerned the obtained data analysis and results discussion.

5

A Method of Increasing the Accuracy of Controlling the Parameters of Dynamic Systems and Regulating the Parameters of the Elastic-Deformable State in the Process of Treating Low-Rigidity Shafts

Świć Antoni, Sobaszek Łukasz, Gola Arkadiusz

Advances in Science and Technology. Research Journal

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2021

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Vol. 15, no 1

26--26

EN

The article presents the models of technological systems and the parameters of the control object allowing one to seek rational control algorithms, choose the structure of the control system and synthesize the correction devices. The generalized and detailed structural schemes of controlling the elastic-deformable state during working on low-rigidity shafts while applying the tensile force as well as with additional feedback and transfer functions of technological systems, considering the assumptions made and the results of theoretical and experimental testing. The structure of the control object and the dependencies describing the system and considering the specificity of forming the section of the machined surface of the elastic-deformable low-rigidity shafts at longitudinal feeds. As a result of the research a method of increasing the accuracy of controlling the parameters of dynamic systems at the change of the longitudinal feed and regulating the parameters of the elastic-deformable state of low-rigidity elements by introducing correction devices in form of negative feedback in accordance with the cutting force. Moreover, the possibility of creating adaptive units which are not very sensitive to the change of parameters in turning and grinding.

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Time-based machine failure prediction in multi-machine manufacturing systems

Sobaszek Łukasz, Gola Arkadiusz, Świć Antoni

Eksploatacja i Niezawodność

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2020

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Vol. 22, no. 1

52--62

EN

The execution of production processes in real manufacturing systems is associated with the occurrence of numerous disruptions, which predominantly revolve around technological machine failure. Therefore, various maintenance strategies are being developed, many of which tend to emphasise effective preventive measures, such as the Time-Based Maintenance (TBM) discussed in this paper. Specifically, this publication presents the time-based machine failure prediction algorithm for the multi-machine manufacturing environment. The Introduction section outlines the body of knowledge related to typical strategies applied in maintenance. The next part describes an approach to failure prediction that treats processing times as makespan and is followed by highlighting the key role of historical data in machine failure management, in the subsequent section. Finally, the proposed time-based machine failure prediction algorithm is presented and tested by means of a two-step verification, which confirms its effectiveness and further practical implementation.

PL

Realizacja procesów produkcyjnych w rzeczywistych systemach wytwórczych wiąże się z występowaniem wielu zakłóceń, do których zalicza się głównie awarie maszyn technologicznych. W związku z tym obserwowany jest rozwój różnorodnych strategii utrzymania ruchu. Coraz większy nacisk kładziony jest na efektywne działania prewencyjne, do których zalicza się także działania określone w czasie (ang. Time-Based Maintenance – TBM). W niniejszej publikacji zaprezentowano algorytm predykcji awarii maszyn w wielomaszynowych systemach wytwórczych wspierający prewencyjne utrzymanie ruchu. Na wstępie omówiono zagadnienia związane z typowymi strategiami stosowanymi w obszarze UR. Ponadto omówiono tematykę predykcji awarii, zwracając uwagę na ujęcie czasu pracy maszyny jako czasu trwania, a także kluczową rolę wykorzystania danych historycznych dotyczących awarii maszyn. Następnie zaprezentowano proponowany algorytm predykcji wspierający działania określone w czasie. Prezentowane prace zakończono dwuetapową weryfikacją proponowanej metody, która potwierdziła jej skuteczność oraz zasadność wykorzystania.

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Wykorzystanie środowiska Visual Studio w procesie dydaktycznym nauki programowania robotów przemysłowych

Sobaszek Łukasz

Autobusy : technika, eksploatacja, systemy transportowe

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2019

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R. 20, nr 12

195--199

PL

W artykule przedstawiono możliwości wykorzystania popularnego środowiska programistycznego w celu opracowywania aplikacji użytkownych, wspomagających naukę programowania i obsługi współcześnie stosowanych robotów przemysłowych. Na wstępie scharakteryzowano podstawowe zagadnienia z zakresu wykorzystania robotów, metod ich programowania, a także współczesnych narzędzi stosowanych w tym obszarze. Ponadto omówiono możliwości wykorzystania środowiska Visual Studio w obszarze wsparcia procesu dydaktycznego nauki programowania robotów przemysłowych. W pracy zaprezentowano autorską aplikację komputerową, a także przedstawiono jej przykładowe zastosowanie.

EN

The paper presents the possibilities of using the popular programming environment to develop applied applications that support teaching process of programming and operating modern industrial robots. First of all, the basic issues of the use of robots, methods of robot programming and tools used in this area were characterized. Moreover, the possibilities of using the Visual Studio environment to support the didactic process of industrial robot programming teaching were discussed. In addition, the paper presents the author’s computer application and an example of its use.