Wyniki wyszukiwania - BazTech

1

Sensor platform of industrial tomography for diagnosticsand control of technological processes

Król Krzysztof, Rymarczyk Tomasz, Niderla Konrad, Kozłowski Edward

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

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2023

|

T. 13, nr 1

33--37

EN

This article presents an industrial tomography platform for diagnosing and controlling technological processes. The system has been prepared in such a way that it is possible to add individual sensors that cooperate with the system of an intelligent cyber-physical platform with an open architecture. In addition, it is possible to configure and cooperate with external systems freely. As part of the experimental work, a platform has been developed that allows individual subsystems and external customer systems to work together. The cyber-physical system, a new generation of digital systems, focuses mainly on the complex interaction and integration between cyberspace and the physical world. A cyber-physical system consists of highly integrated computing, communication, control and physical elements. It focuses mainly on the complex interaction and integration between cyberspace and the physical world.

PL

W artykule przedstawiono przemysłową platformę tomograficzną wykorzystywaną do diagnostyki i sterowania procesami technologicznymi. Aplikacja pozwala na dodawanie poszczególnych czujników współpracujących z systemem inteligentnej platformy cyber-fizycznej o otwartej architekturze, a dodatkowo możliwa była dowolna konfiguracja i współpraca z systemami zewnętrznymi. W ramach prac eksperymentalnych opracowano platformę, która umożliwia współpracę poszczególnych podsystemów i zewnętrznych systemów klienta. System cyberfizyczny, koncentruje się głównie na złożonej interakcji i integracji między cyberprzestrzenią a światem fizycznym. System cyberfizyczny składa się z wysoce zintegrowanych elementów obliczeniowych, komunikacyjnych, kontrolnych i fizycznych. Rozwiązanie koncentruje się głównie na złożonej interakcji i integracji między cyberprzestrzenią a światem fizycznym.

2

Self-Adaptation Driven by SysML and Goal Models – A Literature Review

Andaa Amal Ahmed, Amyot Daniel

e-Informatica Software Engineering Journal

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2022

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Vol. 16, nr 1

art. no. 220101

EN

Background: Socio-cyber-physical systems (SCPSs) are a type of cyber-physical systems with social concerns. Many SCPSs, such as smart homes, must be able to adapt to reach an optimal symbiosis with users and their contexts. The Systems Modeling Language (SysML) is frequently used to specify ordinary CPSs, whereas goal modeling is a requirements engineering approach used to describe and reason about social concerns. Objective: This paper aims to assess existing modeling techniques that support adaptation in SCPSs, and in particular those that integrate SysML with goal modeling. Method: A systematic literature review presents the main contributions of 52 English articles selected from five databases that use both SysML and goal models (17 techniques), SysML models only (11 techniques), or goal models only (8 techniques) for analysis and self-adaptation. Result: Existing techniques have provided increasingly better modeling support for adaptation in a SCPS context, but overall analysis support remains weak. The techniques that combine SysML and goal modeling offer interesting benefits by tracing goals to SysML (requirements) diagrams and influencing the generation of predefined adaptation strategies for expected contexts, but few target adaptation explicitly and most still suffer from a partial coverage of important goal modeling concepts and of traceability management issues.

3

Design a robust quantitative feedback theory controller for cyber-physical systems: ship course control problem

Abadi Ali Soltani Sharif, Hosseinabadi Pooyan Alinaghi, Ordys Andrew, Grimble Michael

Archives of Control Sciences

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2022

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Vol. 32, No. 3

589--605

EN

One of the most critical problems in all practical systems is the presence of uncertainties, internal and external disturbances, as well as disturbing noise, which makes the control of the system a challenging task. Another challenge with the physical systems is the possibility of cyber-attacks that the system’s cyber security against them is a critical issue. The systems related to oil and gas industries may also be subjected to cyber-attacks. The subsets of these industries can be mentioned to the oil and gas transmission industry, where ships have a critical role. This paper uses the Quantitative Feedback Theory (QFT) method to design a robust controller for the ship course system, aiming towards desired trajectory tracking. The proposed controller is robust against all uncertainties, internal and external disturbances, noise, and various possible Deception, Stealth, and Denial-of-Service (DOS) attacks. The robust controller for the ship system is designed using the QFT method and the QFTCT toolbox in MATLAB software. Numerical simulations are performed in MATLAB/Simulink for two case studies with disturbances and attacks involving intermittent sinusoidal and random behavior to demonstrate the proposed controller.

4

Towards developing a cyber-physical warehouse system for automated order-picking for online shopping

Oruc Melike, Alhas Onur Berker, Usta Goksun Beren, Marah Hussein, Tezel Baris Tekin, Challenger Moharram

Annals of Computer Science and Information Systems

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2022

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Vol. 32

321--328

EN

In recent years, Cyber-Physical Systems have been studied in various application areas. Since there are many robots that need to implement both physical and cyber sides, interact with each other and the environment, and the system has to cope with many faced difficulties, a warehouse system for automated order-picking for online shopping seems to be very suitable for being modeled and implemented as Cyber-Physical systems. In this study, the planning and control of mobile robots in a store warehouse is defined from the perspectives of obstacle avoidance, collision detection, and solving the shortest path problem. Accordingly, a simulation environment is designed and a layered CPS development model is proposed. In the simulation environment, both object avoidance and collision detection algorithms are introduced and implemented, different shortest path-finding algorithms are adapted and implemented and their performances are evaluated.

5

Increasing economic efficiency through the use of cyber-physical systems

Kijak Robert, Dmowski Artur

Technologia i Automatyzacja Montażu

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2021

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nr 1

40--46

PL

Większość zakładów przemysłowych w Polsce jest ciągle w przededniu wdrożenia wizji „Przemysłu 4.0” (Czwartej Rewolucji Przemysłowej), która powstała jeszcze na targach Hannover Messe na początku poprzedniej dekady. W kontekście gospodarki wodnej używany jest termin „Woda 4.0”, który uwzględnia całą gamę technologii i narzędzi informatycznych. Jej wdrożenie opiera się zwłaszcza na systemach cyberfizycznych w celu zapewnienia optymalnych poziomem połączeń sieciowych, z wykorzystaniem narzędzi informatycznych, pomiędzy wirtualnymi i materialnymi obiektami gospodarki wodnej na etapie ich planowania, budowy i eksploatacji. Celem artykułu jest - i wykazanie podstawowych korzyści i szans płynących z wdrożenia systemów cyberfizycznych w kontekście zarządzania w Polsce ściekami przemysłowymi - na podstawie wybranych studiów przypadku. W artykule wykazano: (1) racjonalność gospodarowania środkami odtworzeniowymi, (2) efektywność ekonomiczna eksploatacji, (3) możliwość planowania obsługi i zwiększenie bezpieczeństwa, jak i (4) różne korzyści środowiskowe.

EN

Most industrial plants in Poland are still on the eve of implementing the vision of ‘Industry 4.0’ (Fourth Industrial Revolution), which was still conceived at Hannover Messe at the beginning of the previous decade. In the context of water management, the term ‘Water 4.0’ is used, which takes into account a whole range of technologies and digital tools. Its implementation relies in particular on cyber-physical systems to ensure the optimal level of network connectivity using digital tools, between virtual and physical water management facilities during their planning, construction and operation phases.The aim of this article is to identify and demonstrate the key benefits and opportunities of implementing cyber-physical systems in the context of industrial sewage management in Poland - based on selected case studies. The article has demonstrated: (1) rational management of asset renewal funds (CapEx), (2) economic efficiency of operation & maintenance (lower OpEx and TotEx), (3) maintenance planning and improved safety, and (4) various environmental benefits.

6

The Role of Knowledge in Cyber-Physical Systems of Systems

Sanz Ricardo, Bermejo Julita, Rodrigez Manuel, Aguado Esther

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

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2021

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Vol. 25, No 3

355--373

EN

Characterinsing the nature of cybephysical systems is not easy task. What are core aspects and what are not? This is especially tricky in systems-of-systems aggregates. Some EU-funded cyberphysical systems projects have performed a roadmapping exercise over the domain of Cyber-Physical Systems-of-Systems. In particlular, the EU-CPSoS project roadmap has identified three major challenges and eleven research and innovation policies that shall be addressed to solve the three challenges. The third core challenge addresses Cognitive Cyber-physical Systems of Systems. In this article we address the role that knowledge and cognition are to play in future cyber-physical systems of systems from a life-cycle perspective of high autonomy systems.

7

A Development Methodology for Cyber-Physical Systems based on Deterministic Theatre with Hybrid Actors

Cicirello Franco, Nigro Libero

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

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2021

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Vol. 25, No 2

233--260

EN

The goal of the work described in this paper is to propose a development approach for cyber-physical systems (CPS) which relies on actors as the fundamental modelling blocks. The approach is characterized by its capability to deal with the discrete aspects of the cyber part of a CPS, as well as the continuous behaviour of the physical part. More in particular, the approach is based on the Theatre actor system which fosters determinism in model behaviour, and favours model continuity when switching from system modelling and analysis down to prototype and synthesis phases. A key factor of Theatre is the possibility to combine both discrete-event actors, which operate on a discrete timeline, with continuous-time actors which reproduce, in general by using Ordinary Differential Equations (ODEs), the dynamical evolution of physical components. For formal property assessment, Theatre actors (both discrete and continuous) can be reduced to Timed Automata (TA) in the context of the Uppaal toolbox, where the exhaustive andór the statistical model checkers can be exploited. This paper first describes the proposed approach, then it demonstrates its suitability to CPS modelling and analysis through examples. The paper also discusses how abstract and formal modelling actor concepts can be naturally transitioned to implementation concepts in Java.

8

Tomographic ultrasonic sensors in industrial applications

Rymarczyk Tomasz, Kłosowski Grzegorz, Kania Konrad, Rymarczyk Paweł, Mazurek Mariusz

Przegląd Elektrotechniczny

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2021

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R. 97, nr 1

166--169

EN

The work presents the results of research on the use of tomographic ultrasonic sensors to analyse industrial processes using dedicated measuring devices, image reconstruction algorithms and cyber-physical system.

PL

W pracy przedstawiono wyniki badań nad wykorzystaniem tomograficznych czujników ultradźwiękowych do analizy procesów przemysłowych z zastosowaniem dedykowanych urządzeń pomiarowych, algorytmów rekonstrukcji obrazu oraz systemu cyber-fizycznego.

9

Managing Industry 4.0 integration - the Industry 4.0 Knowledge & Technology Framework

Freund Lucas, Al-Majeed Salah

LogForum

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2021

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Vol. 17, no. 4

569--586

EN

Background: This paper has the aim to address the key area of managing complex Industry 4.0 production systems to support a successful adoption and integration of Industry 4.0. This is achieved by approaching methodological research challenges of Industry 4.0 in the form of lacking reference models and the need to establish common definitions of fundamental concepts. The general underlying challenge this paper aims to contribute to solve can therefore be defined as how the technological advances, like CPS, IoT, Big Data or CC can be best linked with each other on different levels of perspective and how they can be used by decision-makers to generate economic value and to improve existing processes. This is achieved through the introduction of the Industry 4.0 Knowledge & Technology Framework (IKTF). Methods: The Industry 4.0 Knowledge Framework (IKTF) is based on the concept of the micro-meso-macro analysis framework and consequently is representative for the approach of micro-meso-macro analysis in managerial practice. It proposes three categories of factors and places them in three basic levels layering them on top of each other. The macrolevel includes the financial, political and sociocultural factors that influence Industry 4.0. The meso-level includes the technical and organizational factors. The micro-level refers to individual factors, particularly individual companies’ intention to use Industry 4.0 in practical economic contexts. Results: The Industry 4.0 Knowledge & Technology Framework (IKTF) provides guidance to corporate decision makers by providing a comprehensive, multi-level sequential integration framework for Industry 4.0 based on a sequential micro, meso and macro perspective analysis of the individual corporate context. The aim of the IKTF is to support an informed and successful managerial decision-making process and therefore enable the integration of Industry 4.0 in a corporate context. Conclusion: As a first step, the structure, and contents of the IKTF are sequentially introduced and described. In a second and final step the functionality and applicability of the IKTF are demonstrated and discussed on a theoretical and practical level with the help of a case study.

10

Hypotheses concerning complexity surges in modern and future industrial information systems

Freund Lucas, Al-Majeed Salah

LogForum

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2021

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Vol. 17, no. 3

321--329

EN

Background: This paper has the central aim to provide an analysis of increases of system complexity in the context of modern industrial information systems. An investigation and exploration of relevant theoretical frameworks is conducted and accumulates in the proposition of a set of hypotheses as an explanatory approach for a possible definition of system complexity based on information growth in industrial information systems. Several interconnected sources of technological information are investigated and explored in the given context in their functionality as information transferring agents, and their practical relevance is underlined by the application of the concepts of Big Data and cyber-physical, cyber-human and cyber-physical-cyber-human systems. Methods: A systematic review of relevant literature was conducted for this paper and in total 85 sources matching the scope of this article, in the form of academic journals and academic books of the mentioned academic fields, published between 2012 and 2019, were selected, individually read and reviewed by the authors and reduced by careful author selection to 17 key sources which served as the basis for theory synthesis. Results: Four hypotheses (H1-H4) concerning exponential surges of system complexity in industrial information systems are introduced. Furthermore, first foundational ideas for a possible approach to potentially describe, model and simulate complex industrial information systems based on network, agent-based approaches and the concept of Shannon entropy are introduced. Conclusion: Based on the introduced hypotheses it can be theoretically indicated that the amount information aggregated and transferred in a system can serve as an indicator for the development of system complexity and as a possible explanatory concept for the exponential surges of system complexity in industrial information systems.

11

Machine Learning in Cyber-Physical Systems and manufacturing singularity – it does not mean total automation, human is still in the centre: Part II – In-CPS and a view from community on Industry 4.0 impact on society

Putnik Goran D., Shah Vaibhav, Putnik Zlata, Ferreira Luis

Journal of Machine Engineering

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2021

|

Vol. 21, No. 1

133-153

EN

In many discourses, popular as well as scientific, it is suggested that the "massive" use of Artificial Intelligence (AI), including Machine Learning (ML), and reaching the point of "singularity" through so-called Artificial General Intelligence (AGI), and Artificial Super-Intelligence (ASI), will completely exclude humans from decision making, resulting in total dominance of machines over human race. Speaking in terms of manufacturing systems, it would mean that the intelligence and total automation would be achieved (once the humans are excluded). The hypothesis presented in this paper is that there is a limit of AI/ML autonomy capacity, and more concretely, the ML algorithms will be not able to become totally autonomous and, consequently, the human role will be indispensable. In the context of the question, the authors of this paper introduce the notion of the manufacturing singularity and present an intelligent machine architecture towards the manufacturing singularity, arguing that the intelligent machine will always be human dependent. In addition, concerning the manufacturing, the human will remain in the centre of Cyber-Physical Systems (CPS) and in Industry 4.0. The methodology to support this argument is inductive, similarly to the methodology applied in a number of texts found in literature, and based on computational requirements of inductive inference based machine learning. The argumentation is supported by several experiments that demonstrate the role of human within the process of machine learning. Based on the exposed considerations, a generic architecture of intelligent CPS, with embedded ML functional modules in multiple learning loops, is proposed in order to evaluate way of use of ML functionality in the context of CPS. Similar to other papers found in literature, due to the (informal) inductive methodology applied, considering that this methodology does not provide an absolute proof in favour of, or against, the hypothesis defined, the paper represents a kind of position paper. The paper is divided into two parts. In the first part a review of argumentation from literature in favour of and against the thesis on the human role in future was presented, as well as the concept of the manufacturing singularity was introduced. Furthermore, an intelligent machine architecture towards the manufacturing singularity was proposed, arguing that the intelligent machine will be always human dependent and, concerning the manufacturing, the human will remain in the centre. The argumentation is based on the phenomenon related to computational machine learning paradigm, as intrinsic feature of the AI/ML1, through the inductive inference based ML algorithms, whose effectiveness is conditioned by the human participation. In the second part, an architecture of the Cyber-Physical (Production) Systems (CPPS) with multiple learning loops is presented, together with a set of experiments demonstrating the indispensable human role. Finally, a discussion of the problem from the manufacturing community point of view on future of human role in Industry 4.0 as the environment for advanced AI/ML applications is registered.

12

Towards Evolutionary Emergence

Bremer Jörg, Lehnhoff Sebastian

Annals of Computer Science and Information Systems

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2021

|

Vol. 26

55--60

EN

With the upcoming era of large-scale, complex cyber-physical systems, also the demand for decentralized and self-organizing algorithms for coordination rises. Often such algorithms rely on emergent behavior; local observations and decisions aggregate to some global behavior without any apparent, explicitly programmed rule. Systematically designing these algorithms targeted for a new orchestration or optimization task is, at best, tedious and error prone. Suitable and widely applicable design patterns are scarce so far. We opt for a machine learning based approach that learns the necessary mechanisms. for targeted emergent behavior automatically. To achieve this, we use Cartesian genetic programming. As an example that demonstrates the general applicability of this idea, we trained a swarm-based optimization heuristics and present first results showing that the learned swarm behavior is significantly better than just random search. We also discuss the encountered pitfalls and remaining challenges on the research agenda.

13

Modeling and Verification using Different Notations for CPSs: The One-Water-Tank Case Study

Staroletov Sergey, Schulte Horst, Baar Thomas, Konyukhov Ivan, Shilov Nikolay, Rozov Andrei, Liakh Tatiana, Zyubin Vladimir

Annals of Computer Science and Information Systems

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2021

|

Vol. 25

485--488

EN

The choice of an adequate notation and subsequent system formalization are the crucial points for the design of cyber-physical systems (CPSs). Here, an appropriate notation allows an explicit specification of the deterministic system behavior for specified initial states and inputs. We base our study on an industrial example (water tank) that comprises nominal as well as safety-critical states, and focus on the notation’s support to validate/verify crucial safety properties. Several industrial notations (e.g. Matlab/Simulink©) to design and simulate such a hybrid system have been tried based on our physical model. In addition, we remodel our example using the well-founded mathematical formalism of hybrid automata. It enables us to formally express and verify important safety properties using the theorem prover KeYmaera

14

A Time-Sensitive Model for Data Tampering Detection for the Advanced Metering Infrastructure

Blanco José Miguel, Rossi Bruno, Pitner Tomas

Annals of Computer Science and Information Systems

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2021

|

Vol. 25

511--519

EN

Smart Grids offer multiple benefits: efficient energy provision, quicker recoveries from failures, etc. Nevertheless, there is risk of data tampering, unsolicited modification of the data of the smart meters. The main aim of this paper is to provide a model for processing the smart meter data that flags any energy consumption level that could be indication of data tampering. The proposed model is time-sensitive, allowing for tracking the energy usage along time, thus making possible the detection of long-lasting abnormal levels of energy consumption. Such model can be integrated in an anomaly detection system and in a semantic web reasoner.

15

Machine Learning in Cyber-Physical Systems and manufacturing singularity – it does not mean total automation, human is still in the centre: Part I – Manufacturing singularity and an intelligent machine architecture

Putnik Goran D., Shah Vaibhav, Putnik Zlata, Ferreira Luis

Journal of Machine Engineering

|

2020

|

Vol. 20, No. 4

161--184

EN

In many popular, as well scientific, discourses it is suggested that the “massive” use of Artificial Intelligence, including Machine Learning, and reaching the point of “singularity” through so-called Artificial General Intelligence (AGI), and Artificial Super-Intelligence (ASI), will completely exclude humans from decision making, resulting in total dominance of machines over human race. Speaking in terms of manufacturing systems, it would mean that there will be achieved intelligent and total automation (once the humans will be excluded). The hypothesis presented in this paper is that there is a limit of AI/ML autonomy capacity, and more concretely, that the ML algorithms will be not able to became totally autonomous and, consequently, that the human role will be indispensable. In the context of the question, the authors of this paper introduce the notion of the manufacturing singularity and an intelligent machine architecture towards the manufacturing singularity, arguing that the intelligent machine will be always human dependent, and that, concerning the manufacturing, the human will remain in the centre of Cyber-Physical Systems (CPS) and in I4.0. The methodology to support this argument is inductive, similarly to the methodology applied in a number of texts found in literature, and based on computational requirements of inductive inference based machine learning. The argumentation is supported by several experiments that demonstrate the role of human within the process of machine learning. Based on the exposed considerations, a generic architecture of intelligent CPS, with embedded ML functional modules in multiple learning loops, in order to evaluate way of use of ML functionality in the context of CPPS/CPS. Similarly to other papers found in literature, due to the (informal) inductive methodology applied, considering that this methodology doesn’t provide an absolute proof in favour of, or against, the hypothesis defined, the paper represents a kind of position paper. The paper is divided into two parts. In the first part a review of argumentation from literature, both in favor of and against the thesis on the human role in future, is presented. In this part a concept of the manufacturing singularity is introduced, as well as an intelligent machine architecture towards the manufacturing singularity is presented, arguing that the intelligent machine will always be human dependent, and that, concerning the manufacturing, the human will remain in the centre. The argumentation is based on the phenomenon related to computational machine learning paradigm, as intrinsic feature of the AI/ML, through the inductive inference based machine learning algorithms, whose effectiveness is conditioned by the human participation. In the second part, an architecture of the Cyber-Physical (Production) Systems with multiple learning loops is presented, together with a set of experiments demonstrating the indispensable human role. Also, a discussion of the problem from the manufacturing community point of view on future of human role in Industry 4.0 as the environment for advanced AI/ML applications is included in this part.

16

Understanding the cyber-physical-social-intentional Workforce 4.0

Gladden Matthew E.

Nowoczesne Systemy Zarządzania

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2019

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T. 14, nr 3

15--26

EN

The widespread application of Industry 4.0 technologies relating to social robotics, AI, the Internet of Things (IoT), ubiquitous computing, and advanced human-computer interfaces is giving rise to a growing range of “cyber-physical” entities. By building on established definitions of such entities, this text formulates a novel conceptual framework for understanding the emerging Workforce 4.0 as a specialized type of “cyber-physical-social-intentional system”. Attention is given to the heterogeneous agency, functional decentralization, technological posthumanization, and planned architectures or spontaneously self-organizing topologies manifested by Workforce 4.0. It is shown how such a workforce is situated within the context of cyber-physical space, a cyber-physical organization, cyber-physical ecosystems, a cyber-physical society, and the larger cyber-physical world.

PL

Rosnące zastosowanie technologii Przemysłu 4.0, związanych z robotyką społeczną, sztuczną inteligencją, Internetem rzeczy, przetwarzaniem rozpowszechnionym i zaawansowanymi interfejsami człowiek - komputer, wywołuje powstawanie coraz większej liczby „cyberfizycznych” jednostek. Opierając się na ustalonych definicjach takich jednostek, niniejszy tekst proponuje nowe ramy koncepcyjne wyłaniającej się Siły Roboczej 4.0 jako szczególnego rodzaju „systemu cyberfizyczno-społeczno-intencjonalnego”. Zwraca się uwagę na niejednorodność sprawczości, posthumanizację technologiczną, funkcjonalną decentralizację i celowo zaplanowane architektury albo spontanicznie samoorganizujące się topologie manifestowane przez Siłę Roboczą 4.0. Pokazany jest sposób, w jaki taka siła robocza działa w kontekście przestrzeni cyberfizycznej, organizacji cyberfizycznej, ekosystemów cyberfizycznych, społeczeństwa cyberfizycznego i szerszego cyberfizycznego świata.

17

Intelligent production systems in the era of Industrie 4.0 – changing mindsets and business models

Uhlmann E., Hohwieler E., Geisert C.

Journal of Machine Engineering

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2017

|

Vol. 17, No. 2

5--24

EN

Industrie 4.0 has been becoming one of the most challenging topic areas in industrial production engineering within the last decade. The increasing and comprehensive digitization of industrial production processes allows the introduction of innovative data-driven business models using cyber-physical systems (CPS) and Internet of Things (IoT). Efficient and flexible manufacturing of goods assumes that all involved production systems are capable of fulfilling all necessary machining operations in the desired quality. To ensure this, production systems must be able to communicate and interact with machines and humans in a distributed environment, to monitor the wear condition of functionally relevant components, and to self-adapt their behaviour to a given situation. This article gives an overview about the historical development of intelligent production systems in the context of value-adding business models. The focus is on condition monitoring and predictive maintenance in an availability oriented business model. Technical as well as organizational prerequisites for an implementation in the production industry are critically analysed and discussed on the basis of best practice examples. The paper concludes with a summary and an outlook on future research topics that should be addressed.

18

Architecture of supervisory systems for subtractive manufacturing processes in Industry 4.0 based manufacturing

Leżański P.

Journal of Machine Construction and Maintenance - Problemy Eksploatacji

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2017

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no. 1

59--64

EN

General design rules and algorithms for supervisory systems of subtractive manufacturing processes in INDUSTRY 4.0- based manufacturing are presented in the paper. They are formulated based on the analysis of the communication standards for manufacturing integration, the idea of cyber-physical systems, and the architecture of supervisory systems operating locally. It is assumed that the monitoring and signal conditioning functions can be performed locally by a given production site, whereas the measurement signals processing aiming at signal features extraction, features selection and integration as well as a diagnostic decision making can be performed in the cyber space of the whole production system. Therefore, in accordance with the CPS idea, they will be available for its each element. In consequence, the separation of monitoring and signal conditioning functions from signal processing and decision-making functions creates the possibility to base the development of the proposed systems for collaborative supervision of subtractive manufacturing processes on the methodology of shell artificial intelligence systems development.

PL

W artykule zaproponowano zasady budowy i algorytmy działania szkieletowych systemów nadzorowania dyskretnych procesów obróbkowych opartych na idei systemów cybernetyczno-fizycznych będących elementem koncepcji wytwarzania INDUSTRY 4.0. Założono, że funkcje monitorowania i wstępnego przetworzenia sygnałów pomiarowych mogą być realizowane lokalnie przez dane stanowisko pracy, natomiast funkcje związane z przetwarzaniem sygnałów mającym na celu wyznaczenie symptomów stanu obiektu nadzorowanego, selekcję i integrację tych symptomów oraz podejmowanie decyzji mogą być realizowane w przestrzeni cybernetycznej całego systemu produkcyjnego i w związku z tym, zgodnie z ideą CPS, będą dostępne dla każdego jego elementu. Rozdzielenie funkcji monitorowania od funkcji przetwarzania sygnałów pomiarowych i podejmowania decyzji powoduje, że budowa proponowanego systemu może być oparta na metodyce budowy szkieletowych systemów sztucznej inteligencji oferujących uniwersalny, w ramach określonej metody, wielowariantowy mechanizm przetwarzania i integracji danych, który jest zdolny do modelowania stanu obiektu w oparciu o dostarczone dane bieżące. Tak skonstruowany system, po dostarczeniu odpowiednio sformalizowanej wiedzy dziedzinowej i danych, będzie mógł obsługiwać różne rodzaje produkcji.

19

Metrological verification of cyber-physical systems

Oleskiv O., Mykytyn I.

Zeszyty Naukowe Politechniki Rzeszowskiej. Elektrotechnika

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2015

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z. 34 [292], nr 3

87--92

EN

This article presents the features of functioning the cyber-physical systems and their components. The possibility to connect measuring devices of electrical quantities, measuring devices of non-electrical quantities, and sensors with data interface to cyber-physical systems components is considered. The analysis opportunity of sensors possible accession to embedded system control is examined. The classification by the sensors output signal type is considered. On the basis of the sensors classification concluded that the cyber-physical systems is most expedient to use intelligent sensors. According to the results of the analysis of the cyber-physical system characteristics and components a multilevel remote metrological verification of cyber-physical systems is proposed. With the proposed algorithm the cyber-physical system components can be verified at the request of any component, subsystem or system as a whole. Also a person can initiate a metrological testing process, if there is suspicion of incorrect operation or its time for cyber-physical system routine verification.

PL

W artykule opisano specyfikę systemów cyber-fizycznych i ich komponentów. Przedstawiono schemat blokowy, łączący przyrząd pomiarowy wielkości elektrycznych, przyrząd pomiarowy wielkości nieelektrycznych oraz czujniki z interfejsem danych z systemem cyberfizycznym. Przedstawiono klasyfikację systemów według typu sygnału wyjściowego czujników. Na podstawie klasyfikacji czujników autorzy doszli do wniosku, że systemy cyber-fizyczne najlepiej współpracują z czujnikami inteligentnymi. Biorąc pod uwagę wyniki analizy cech systemów cyber-fizycznych i ich komponentów, zaproponowano wielopoziomową weryfikację metrologiczną tych systemów. Zgodnie z proponowanym algorytmem elementy systemów cyberfizycznych mogą być weryfikowane na wniosek jakiegokolwiek komponentu, podsystemu lub systemu jako całości. Również człowiek może zainicjować proces testowania metrologicznego, jeśli istnieje podejrzenie nieprawidłowej pracy lub nadszedł okres rutynowej kontroli systemów cyber-fizycznych.

20

Struktura zarządzania nowatorskimi technologiami informacyjnymi, komunikacyjnymi i automatyką

Chyba Z.

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

|

2015

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z. 83

83--91

PL

Celem tego artykułu jest przedstawienie koncepcji struktury zarządzania nowoczesnymi technologiami informacyjnymi, komunikacyjnymi oraz stosowanymi w automatyce. Koncepcja ta opiera się na nowoczesnych trendach w zarządzaniu, takich jak: technologie semantyczne, ontologia zarządzania oraz systemy cyberfizyczne. Współcześnie technologie informacyjne odgrywają kluczowe znaczenie dla rozwoju i efektywności przedsiębiorstw. Istniej również istotna zależność pomiędzy systemem informacyjnym przedsiębiorstwa a jego strategią i strukturą organizacyjną. Zarządzanie nowoczesnymi technologiami informacyjnymi i komunikacyjnymi jest ściśle powiązane z przemianami społecznymi. Zrozumienie systemów informacyjnych ma zasadnicze znaczenie dla zrozumienia procesów zmiany technologicznej w przedsiębiorstwach.

EN

The aim of this article is giving the idea of management framework for the novel ICT and information technologies. This concept is based on modern trends in management, such as semantic technologies, ontology management and cyber physical systems. Nowadays Information Technologies (IT) has absolutely fundament importance for the growth and effectiveness of enterprises investments. There is a relationship between Information System, Organization and Strategy. The management of novel ICT/AT technologies is connected with social change. Understanding the emergence of innovation systems is recently put central in research analyzing the process of technological change.