• Assessment of readiness for „Industry 4.0“

    Industry 4.0, Vol. 3 (2018), Issue 6, pg(s) 288-291

    The Industry 4.0 initiative poses great challenges to the world, countries and companies connected with the provided digital transformation and the new intelligent technologies in all areas of the industry. This requires the development and follow-up of a national strategy for the adoption and implementation of Industry 4.0. It is important in this case to assess the Industry 4.0 readiness of each country for transformation and change. The main aim of the paper is to present, analyse and compare some of the most promised existing approaches for calculation of Industry 4.0 readiness at national level. Some results are presented and compared.

  • Monitoring and control of cyber-physical systems – the backbone of Industry 4.0

    Industry 4.0, Vol. 3 (2018), Issue 4, pg(s) 155-157

    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 an approach for monitoring and control of CPS through the integration of the IEC-61499 based models for distributed control systems and the IEC-61512 standard providing domain specific models for design and control of batch production processes as well as the Signal- Interpreted Petri Nets used for the purpose of formal specification and verification of unit procedures. The approach is illustrated with an example of CPS for loading a batch tank and mixing of liquid flow.

  • 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.

  • TECHNOLOGIES

    ONTOLOGY-BASED DATA ACCESS AND MODEL TRANSFORMATIONS FOR ENTERPRISE INTEROPERABILITY

    Machines. Technologies. Materials., Vol. 10 (2016), Issue 12, pg(s) 16-19

    Enterprise interoperability is the ability of disparate and diverse information and control systems to work together efficiently towards mutually beneficial common goals. Some of the main tasks for achieving enterprise interoperability are connected with data and knowledge access and sharing and by use of model transformation. In this paper are presented and discussed several model transformations between different Technological Spaces: RDB, UML and OWL in order to enable ontology-based access to different models of enterprise data. At the core of the approach is the usage of reference models, based on the standard for enterprise integration ISO/IEC 62264.