• TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    IEC 61499 BASED CONTROL OF CYBER-PHYSICAL SYSTEMS

    Industry 4.0, Vol. 5 (2020), Issue 1, pg(s) 10-13

    Monitoring and control of Cyber-Physical Systems (CPS) have many challenges related to the heterogeneous environment, the high degree of interaction between the components and the high requirements for functionality and scale. The paper presents an analysis of the state of the art in this area and proposes and analyses different combined approaches for control of CPS based on IEC-61499 standard. The approaches are divided in two groups. The first group of approaches combines IEC-61499 standard with advanced methods of software engineering, such as formal methods and model-driven development, based on UML/SysML. The second group uses other standards as IEC- 61512 and PLCopen to be combined with IEC-61499 standard in order to improve the development lifecycle of cyber-physical systems.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    Reference framework and architecture for development of cyber-physical systems

    Industry 4.0, Vol. 4 (2019), Issue 5, pg(s) 212-215

    The strategic initiative Industry 4.0 implies integration of Cyber-Physical Systems (CPS), Internet of Things (IoT) and cloud computing, leading to what is called “smart factory”. The lack of theoretical foundation and methodologies creates barriers that may hamper the adoption, commercialization, and market success of the new CPS applications. The reference frameworks and architectures support the analysis and specification of domains, and facilitates the unification of methods used by various disciplines such as industrial engineering, control theory, communication and information technology, thus making possible their combined use. The paper presents an analysis of the benefits and use of reference frameworks and architectures in the development of CPS. Standardized meta-models of reference frameworks and architectures are presented. Particular attention is paid to the NIST reference framework and architecture of CPS, with a view to establishing a methodology for development of Cyber-Physical Production Systems.

  • Standards for monitoring and control of cyber-physical systems

    Industry 4.0, Vol. 4 (2019), Issue 1, pg(s) 3-6

    The Industry 4.0 initiative imposes new requirements on cyber-physical systems in terms of interoperability, response time, communication capabilities, and more. A major approach to addressing these requirements is through the development and use of standard reference frameworks, architectures and models as well as the widespread and joint application of open industry standards. The aim of the article is to analyze the use of standards under the Fourth Industrial Revolution as well as to present and analyze some of the most applied standards in the field of monitoring and control of cyber-physical systems, such as AutomationML, OPC-UA, IEC-61449, IEC-61512. The reference architecture RAMI 4.0 was used to establish relationships and interactions between them.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    AGENT-BASED DEVELOPMENT OF CYBER-PHYSICAL SYSTEMS FOR PROCESS CONTROL IN THE CONTEXT OF INDUSTRY 4.0

    Industry 4.0, Vol. 2 (2017), Issue 6, pg(s) 241-244

    In order to achieve its goal in using intelligent adaptive and predictive technical systems with self-X functions and cognitive information processing in continuous interaction with environment, the Industry 4.0 initiative implies integration of Cyber-Physical Systems (CPS), the Internet of Things (IoT) and cloud computing leading to what is called "smart factory". This, in turn, faces the CPS with new challenges in terms of increasing the degree of distribution, autonomy, mobility, communication and security of the systems and their components, as well as expanding their functionality in the direction of data analytics, information and knowledge extraction, and increasing their intelligence. This paper discusses and analyses the CPS in the context of Industry 4.0 and the main trends in the development of process automation and control in order to suggest an appropriate and advanced agent based approach for development of CPS for process control. The proposed approach is based on using the following standards – from one side the IEC61499 Standard for agent specification and from other side the IEC62264 and IEC 61512 Standards for defining the different kind of agents in the control system. The presented approaches are illustrated with a partly presented example of development of Injector control system. Finally some conclusions are made.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    REORGANIZATION OF THE LOGISTIC PROCESSES IN ACCORDANCE WITH THE REQUIREMENTS OF "INDUSTRY 4.0"

    Industry 4.0, Vol. 1 (2016), Issue 2, pg(s) 70-73

    The article analyzes the essence, condition and functioning of the existing logistics system. The aim of the publication is to examine approaches to structural changes that must be made in the logistics system to bring it to the requirements of Industry 4.0. These are segmented and holistic approach and choice for their application, and also the coming change in the pyramid of organization and automation of these processes. Discussed are other approaches to the reorganization of these processes.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    MODELING OF CYBER-PHYSICAL SYSTEMS USING UML PROFILES

    Industry 4.0, Vol. 1 (2016), Issue 1, pg(s) 15-18

    Cyber-Physical Systems integrate computation, networking, and physical dynamics. Systems and computer science has provided a solid foundation for spectacular progress in modeling of engineering software application for real-time and embedded systems. This paper discusses and analyses the possibilities of using UML and its profiles to model cyber-physical systems. Two approaches for modeling of cyber-physical components based on the UML profile for system engineering – SysML and on the MARTE profile for analysis and modeling of real-time systems are respectively described. The presented approaches are illustrated with a simple example for modeling of feedback level control system. Finally some conclusions are made.